Analytics Lead Jobs in Bengaluru

Position: Lead Product Analyst Location: Bengaluru Department: Product Job Type: Full-time Industry: FinTech / Product Analytics About Tide At Tide, we re on a mission to help small and medium enterprises (SMEs) save time and money. We provide them with business accounts, banking services, and a comprehensive suite of connected administrative solutions from invoicing to accounting. Tide is revolutionizing the small business banking market, with over 1.6 million members globally across the UK, India, Germany, and France. We re committed to creating a seamless, data-driven experience for our members through innovative technology and quick, low-fee services. About the Role As a Lead Product Analyst, you ll play a crucial role in shaping and influencing the Acquiring Product strategy, including POS, T2P, and Digital initiatives. You ll leverage your expertise in data analytics to uncover insights that drive merchant growth, optimize pricing, and improve portfolio performance. You will be a hands-on expert who works closely with cross-functional teams in Product, Marketing, Commercial, and Data Science, ensuring data-driven decisions power the product roadmap. This is an exciting opportunity for someone who thrives in a high-impact, high-autonomy environment and can both lead and execute. You ll be responsible for driving multiple initiatives simultaneously, creating clarity from ambiguity, and providing actionable insights that influence strategic decisions. Key Responsibilities Product Strategy Influence: Shape the strategy for Acquiring Products by identifying product and marketing opportunities based on data insights. End-to-End Analytics Projects: Lead analytics projects from beginning to end including problem definition, hypothesis framing, stakeholder alignment, insight delivery, and storytelling. Deep-Dive Analyses: Conduct in-depth analyses of the merchant lifecycle, including acquisition, activation, engagement, retention, pricing sensitivity, and churn triggers to inform product and marketing strategies. KPI Definition & Monitoring: Define and monitor key performance indicators (KPIs) for new product launches and ongoing performance to ensure alignment with impact metrics. Collaboration with Cross-Functional Teams: Partner with Product, Marketing, and Finance teams to uncover growth opportunities, measure performance, and provide data-driven recommendations for product strategy. Advanced Data Analysis: Use SQL and Python to explore large datasets, conduct statistical analyses, build segmentations, and test hypotheses. Innovation & Scalability: Proactively identify new areas for analytics contribution. Introduce fresh ideas, scalable analytical frameworks, and approaches to enhance the overall impact of data insights. Mentorship & Advocacy: Coach other analysts and stakeholders, fostering a culture of data-driven decision-making and elevating the business s analytical maturity. Data Storytelling: Translate complex data into clear, actionable business stories and visualizations using tools like Looker or other BI tools. What We Are Looking For Experience 10+ years of analytics experience, preferably in a high-growth product or SaaS company. Proven track record in product analytics, particularly within the merchant acquiring or digital payments domain. Strong Analytical Skills Expertise in SQL for complex querying and Python for data analysis or prototyping. Strong understanding of merchant lifecycle analytics, including acquisition, activation, engagement, and retention metrics. Strategic & Commercial Mindset Deep understanding of how to use data to optimize pricing, target specific customer segments, and drive product performance. Ability to prioritize initiatives based on business impact and alignment with strategic goals. Influence & Leadership Proven ability to influence senior stakeholders and drive change without direct authority. Comfortable in high-autonomy, high-impact environments, taking the initiative and owning outcomes. Communication Skills Ability to convert complex data into clear, compelling narratives that resonate with both technical and non-technical stakeholders. Proficiency in using BI tools (Looker, Tableau, etc.) to visualize and communicate insights effectively. Self-Motivation A self-starter who can work independently, take initiative, and lead multiple projects simultaneously. What You ll Get In Return Competitive Salary: Competitive compensation and performance-based bonuses. Health Insurance: Self & family health insurance along with OPD benefits. Life & Accident Insurance: Comprehensive protection with term & life insurance. Mental Wellbeing: Access to Plumm, a mental wellbeing platform for therapy sessions and courses. Learning & Development: An annual budget for courses, books, and coaching to help you grow. Stock Options: Equity options that allow you to benefit from Tide s future success. Work From Home Setup: A contribution toward setting up your home office. Time Off: 15 days of privilege leave, 12 days of casual leave, 12 days of sick leave, and 3 paid days off for volunteering or L&D activities. At Tide, we re Member First, Data Driven, and One Team. Our Working Out of Office (WOO) policy allows you to work from anywhere in the world for up to 90 days a year. We embrace flexible working hours, trust our employees to manage their own schedules, and foster a collaborative, supportive team culture.

Job Title: Sr. Data Science Engineer Location: Bangalore Experience: 5 8+ Years Job Description As a Senior Data Science Engineer, you will develop and maintain scalable data pipelines and manage API integrations to support growing data volume and complexity. You will play a key role in ensuring data quality and enabling accurate AI model development through effective data handling and automation. Responsibilities Monitor data quality and implement processes for data cleansing and validation. Analyze data to troubleshoot and resolve data-related issues promptly. Develop automation workflows for efficient data labeling, preparation, and augmentation to improve AI model accuracy and utility. Requirements Proven experience as a Data Scientist, Data Analyst, or related role, with experience in data mining. Strong proficiency in data manipulation using Python or R; familiarity with Scala, Java, or C++ for raw data processing is a plus. Experience with business intelligence tools (e.g., Tableau) and big data frameworks like Hadoop and Spark. Strong mathematical foundation, especially in statistics and algebra. Advanced SQL skills with experience in database development, data migration, and integration. Expertise in exploratory data analysis and familiarity with common data science toolkits. Ability to communicate complex data insights clearly and effectively to non-technical stakeholders. Familiarity with data management tools and experience applying machine learning and AI techniques.

Job Title: Manager - Data Analytics, Credit Card Portfolios Location: Bangalore Employment Type: Full-time About Zeta: Zeta is a next-gen banking technology company empowering banks and fintechs to build the future of financial products. Founded in 2015 by Bhavin Turakhia and Ramki Gaddipati, Zeta s flagship platform Zeta Tachyon is a cloud-native, fully API-enabled banking stack powering issuance, processing, lending, core banking, fraud & risk, and more. Over 20 million cards have been issued globally through our platform. With 1,700+ employees across the US, EMEA, and Asia and 70%+ in R&D, Zeta is backed by SoftBank, Mastercard, and others, having raised $330M at a $2B valuation in 2025. We work with leading banks and fintechs worldwide to transform multi-million card portfolios. Role Overview: We are looking for a strategic and experienced Manager - Data Analytics to lead business intelligence and enterprise reporting for global fintech portfolios including Credit Cards, Deposits, and other financial products. This role involves managing a team of analysts, leveraging multiple data lakes and warehouses, and building a scalable, comprehensive reporting framework for diverse markets including the US, UK, and India. Key Responsibilities: Enterprise Reporting & Data Architecture: Design and maintain end-to-end reporting across the customer lifecycle: acquisition, activation, usage, delinquency, collections, retention, operations, and support. Deliver accurate analysis of key financial KPIs: revenue, profitability, credit risk, defaults, acquisition cost. Build dashboards, self-service BI tools, and automated pipelines using Apache Superset, Metabase, Tableau. Optimize data storage and reporting for scalability and cost-efficiency. Data Integration & Analytics Execution: Collaborate with vendors and internal engineering to integrate data from credit bureaus, open banking, core banking, card and payment processors, loan origination, CCaaS, and aggregators into a centralized Data Lake. Business Intelligence & Growth: Lead analytics projects to uncover user behavior, optimize acquisition channels, underwriting, and portfolio performance via segmentation, cohort, and funnel analyses. Partner with Product and Marketing teams to evaluate experiments (A/B testing) and guide roadmap decisions. Leadership: Build, mentor, and lead a high-performing team of BI analysts and data visualization experts. Data Governance: Establish and enforce data governance best practices, ensuring compliance and data security. Skills & Experience: Expert in BI tools such as Apache Superset, Metabase, Tableau; strong SQL skills. Familiarity with cloud data platforms like Snowflake, Redshift, BigQuery. Deep knowledge of credit and fintech KPIs: acquisition, credit decisioning, delinquency, repayment, charge-offs, profitability, RoA, CLTV, etc. Proven leadership experience managing analytics teams and scaling reporting infrastructures. Excellent communication skills with the ability to translate complex data into business strategies. Knowledge of data governance, privacy, and security in financial services. Qualifications: 10+ years in Business Intelligence/Analytics with 3+ years in the credit card industry. 3+ years managing teams of analysts or data professionals. Bachelor s degree in Computer Science, Engineering, Statistics, or a related field. Equal Opportunity: Zeta celebrates diversity and is an equal opportunity employer. We are committed to fostering an inclusive environment and encourage candidates from all backgrounds to apply. Qualification : Bachelors degree in Computer Science, Engineering, Statistics, or a related field

Position: Marketing Manager / Deputy Manager Type: Full Time Experience: 8 10 Years Location: Bangalore Role Purpose To lead integrated marketing efforts that drive lead generation, customer engagement, and sales enablement across digital platforms, marketing automation systems, and sales operations. This position is crucial in aligning marketing initiatives with sales productivity, ultimately boosting market share and customer reach for the organization. Key Responsibilities Market Analysis & Product Communication Conduct competitive benchmarking, market research, and customer insight gathering for the concrete equipment sector. Develop technical marketing collateral and product content in collaboration with Product Management & Engineering teams. Create newsletters, mailers, and presentations aligned with brand guidelines to support sales efforts. Sales Operations Support Partner with Sales teams to improve CRM usage, lead tracking, and pipeline visibility. Enhance customer journey mapping and conversion processes with sales and product teams. Analyze sales data for trends, opportunities, and engagement gaps. Support the design and implementation of sales enablement tools and mobile sales apps. Digital Marketing & Lead Generation Run and optimize SEO, SEM, and paid media campaigns to increase inbound leads. Manage digital presence across social media, email, and landing pages. Drive performance from platforms like IndiaMART and apply corrective actions where needed. Marketing Automation & Tools Implement and manage platforms such as HubSpot, Zoho Marketing Plus, Salesforce Marketing Cloud, or Marketo. Automate campaigns, lead scoring, and segmentation to enhance efficiency. Track campaign performance and optimize for improved ROI. Events, Exhibitions & Campaigns Plan and execute industry event participation (e.g., EXCON, BAUMA, Concrete Show) in coordination with marketing leadership. Support product launches, roadshows, BTL activities, and customer meets. Oversee vendor coordination and logistics for successful event execution. After-Sales Marketing & Customer Engagement Partner with After-Sales and Parts teams to roll out service campaigns, loyalty programs, and feedback initiatives. Design post-sale campaigns and customer health check content to maintain engagement. Reporting & Analytics Maintain dashboards to track digital, lead conversion, and sales enablement KPIs. Ensure CRM data hygiene and provide actionable insights. Assist with marketing budgeting and monthly expense tracking. Desired Skills & Competencies Strong B2B marketing background, preferably in industrial or capital goods sectors. Proficiency in CRM platforms (Salesforce, Zoho CRM) and marketing automation tools (HubSpot, Marketo). Excellent content creation skills for technical and product marketing. Strong analytical mindset with data-driven decision-making. Effective collaboration with cross-functional teams. Experience with SEO tools, Google Analytics, and LinkedIn Campaign Manager. Educational Qualifications MBA/PGDM in Marketing, Sales, or Business Analytics from a reputed institute. Preferred Industry Background B2B Industrial, Capital Goods, Construction Equipment, or Automotive Components. Qualification : MBA/PGDM in Marketing, Sales, or Business Analytics from a reputed institute

Job Title: Senior Data Business Partner Location: Bengaluru Department: Data & Analytics Experience: Senior-level Company: OSB India (Offshore subsidiary of OSB Group) About OSB India: OSB India (OSBI) is a wholly owned offshore subsidiary of OSB Group, a leading UK financial services provider. Established in 2004, OSBI delivers exceptional customer support and operational services to the Group s UK brands. Known for driving process excellence, innovation, and functional efficiencies, OSBI is a key strategic arm supporting the Group s long-term goals. Role Overview: We are looking for a Senior Data Business Partner to bridge the gap between business and data analytics. In this role, you will collaborate with business leaders to identify analytical needs, design data-driven solutions, and drive adoption of data across the organization. This is a high-impact role requiring strong analytical acumen, stakeholder management skills, and a passion for delivering insights that support strategic decision-making. Key Responsibilities: Build trusted relationships with business stakeholders to understand their data needs and priorities. Collaborate cross-functionally to translate complex business challenges into data solutions. Lead in-depth analysis using market-standard algorithms and modelling techniques. Ensure adherence to Data Governance standards, policies, and controls. Deliver timely, accurate, and well-documented data content and insights. Advise on analytics delivery planning across projects and business functions. Enable self-service analytics by training business users on available tools and platforms. Advocate and implement innovations in AI, Machine Learning, and data analytics. Partner with Data Engineering and Architecture teams, ensuring adherence to technical standards and best practices. Present findings and strategic insights to senior management and governance forums. Mentor team members on analytical approaches and best practices. Promote a culture of continuous improvement, innovation, and high-quality data usage. Champion the use of central data repositories, relational models, and the Data Warehouse to deliver consistent and reliable BI outputs. Identify risks related to data or projects and escalate when necessary. Support internal training efforts to improve data literacy across departments. Ensure compliance with Risk Management and Data Governance policies. Stay current on industry trends, tools, and technologies to enhance analytics capability. Candidate Profile: Qualifications: Bachelor s or Master s degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field. Certifications in data analytics, data science, or relevant tools/platforms are a plus. Experience: 6+ years in a business-facing data analytics role, ideally within financial services or technology. Strong experience in data analysis, modelling, and data storytelling. Proven ability to work with senior business stakeholders and executive teams. Experience in mentoring and leading analytics professionals. Demonstrated expertise in translating business needs into actionable insights. Technical Skills: Proficiency in tools such as Power BI, Tableau, SQL, Python/R, or Excel for data analysis. Familiarity with data warehousing, ETL processes, and relational databases. Understanding of data governance, risk, and compliance frameworks. Exposure to AI/ML applications in business contexts is a strong advantage. Behavioral Competencies: Excellent communication and presentation skills. Strong business acumen with the ability to drive value from data. Strategic thinking with a problem-solving mindset. Collaborative, adaptable, and proactive. At OSBI, we believe in empowering individuals to grow both personally and professionally. Whether you re early in your career or a seasoned expert, we provide an inclusive and supportive environment to help you thrive. Be a part of a connected organization where your contributions make a difference and your career is a journey, not a destination. Qualification : Bachelors or Masters degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field

Position: Manager FMRTS CT Location: Bengaluru Experience Required: 5 10 years Department: Operations About the Role: We are seeking a highly analytical and results-driven Manager FMRTS CT to lead key operational excellence initiatives across sort centers in the West region. This role focuses on improving throughput, optimizing workflows, and ensuring process adherence across the end-to-end supply chain. The ideal candidate should possess strong cross-functional leadership, data-driven decision-making, and project management skills. Key Responsibilities: Increase core Throughput Per Hour (TPH) in sort centers through layout standardization and implementation of Zone-Based Palletization (ZBP). Develop and apply mathematical models to optimize load balancing across belts, reducing defects and improving productivity. Own and drive compliance programs such as signage standardization, WIKI documentation, Guard Shack (GS) protocols, and Grace Time Truck Departure (GTTD). Analyze and improve sort center quality metrics; conduct deep dives for underperforming sites and collaborate with cross-functional teams (Operations, Linehaul, Analytics, Safety & Loss Prevention) to meet performance targets. Build and maintain a sortation path planning tool to ensure Long-Term Planning (LTP) is adhered to at the site level. Conduct Time & Motion studies to identify and eliminate non-value-adding activities, improving overall package throughput time. Partner with teams across Category Sourcing, Logistics, Warehousing, Last Mile, Finance, Tech, Warranty, and After-Sales (AFS) to ensure seamless process execution from procurement through to delivery. Address daily operational challenges and strategic issues by working closely with leadership teams across business functions. Lead and manage cross-functional project teams, set milestones, and ensure timely execution of Supply Chain Excellence initiatives. Establish data-driven process controls, tooling requirements, and audit mechanisms to ensure consistent process adherence. Drive adoption of new tools and operational playbooks, ensuring governance, compliance, and best practice implementation. Assess business and technical risks, manage escalations, and maintain a balance between operational needs and technical constraints. Investigate complex sourcing and supply chain challenges, design scalable solutions, and collaborate with engineering and stakeholder teams for implementation. Leverage analytics and technology to lead cross-functional coordination, resolve operational bottlenecks, and drive continuous improvement. What You Bring: 5 10 years of experience in operations, supply chain, or logistics, preferably within e-commerce or high-volume distribution environments. Proven experience in process optimization, data modeling, and performance analysis. Strong knowledge of warehouse/sort center operations and tooling systems. Demonstrated ability to manage cross-functional teams and deliver complex projects end-to-end. Excellent problem-solving, communication, and stakeholder management skills. Proficiency in data analysis tools and methodologies is a strong plus.

Position: Manager - Analytics Location: SEZ4, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 6 to 9 years Job Overview: We are seeking an experienced Manager - Analytics to lead a team of talented data scientists in delivering impactful data-driven solutions. The ideal candidate will have a solid background in analytical methodologies, including machine learning, statistical modeling, and business analytics. You ll be responsible for collaborating with business stakeholders, driving the design and development of advanced analytics models, and ensuring the delivery of high-quality insights that support strategic decision-making. Key Responsibilities: Analytical Methodology: Research, evaluate, and implement new analytical methodologies and approaches to build innovative data-driven solutions. Utilize a blend of mathematics, statistics, machine learning, and business knowledge to solve complex problems. Business Collaboration: Work closely with business leaders and data owners to define key problems and challenges, ensuring the solutions developed have a significant impact on the business. Team Leadership: Lead and mentor a team of junior data scientists, guiding them through the development, deployment, and refinement of machine learning models in a production setting. Advanced Modeling: Utilize a wide range of analytical models, including reliability models, Markov models, stochastic models, Bayesian modeling, classification models, neural networks, and more to address business challenges effectively. Hands-On Expertise: Apply strong hands-on skills in R and Python, using libraries such as NLTK and Sklearn for developing machine learning models and data analysis. Large Data Management: Work with large datasets and distributed computing frameworks like MapReduce, Hadoop, and Hive, ensuring scalable and efficient data processing. Continuous Improvement: Stay up to date with the latest advancements in analytics and machine learning, continually enhancing models and methodologies to deliver cutting-edge insights. Required Technical Skills: Hands-on Experience in Python & R: Strong proficiency in R and Python programming, with experience in libraries such as NLTK, Sklearn, and other machine learning frameworks. Advanced Statistical & Machine Learning Techniques: Proven expertise in at least one of the following: Reliability models Markov Models Stochastic models Bayesian Modelling Classification Models Cluster Analysis Neural Networks NLP (Natural Language Processing) Deep Learning Non-parametric Methods Multivariate Statistics Big Data Tools: Experience working with large datasets and distributed computing platforms such as MapReduce, Hadoop, Hive, etc. Soft Skills: Leadership & Collaboration: Strong leadership skills with the ability to mentor a team of junior data scientists. Excellent collaboration and communication skills to work with business and technical teams. Problem-Solving & Critical Thinking: Ability to approach complex business problems analytically and come up with data-driven solutions. Continuous Learning: A passion for staying up to date with the latest trends and advancements in analytics, machine learning, and data science. At Subex, you ll have the opportunity to work on cutting-edge projects that make a tangible impact on the business. If you're passionate about leading analytics teams and leveraging data science to drive business success, we would love to have you on board.

Job Title: Corporate Communications Manager Location: Bangalore, Karnataka, India Department: Marketing Experience Required: 7 10 years About TheMathCompany TheMathCompany (MathCo ) is a global Enterprise AI and analytics firm trusted by Fortune 500 and Global 2000 companies for data-driven decision-making. With our proprietary platform, NucliOS, and a strong culture of innovation and collaboration, we build custom AI solutions to solve complex business problems. We're a people-first organization where curiosity is encouraged, creativity is celebrated, and impact is inevitable. Role Overview As the Corporate Communications Manager, you will drive MathCo s overarching communication strategy shaping our internal narrative, amplifying our employer brand, and positioning us as a thought leader in the industry. This is a high-impact role that balances strategy with execution. You ll lead a team of communication specialists and work closely with senior leadership, HR, marketing, and business teams to craft compelling, consistent, and culturally resonant communications across all key channels. Key Responsibilities Internal Communications Develop and execute a comprehensive internal communications strategy to foster alignment, engagement, and transparency. Create messaging for leadership updates, organizational priorities, cultural milestones, and business wins. Produce and manage content for internal channels including newsletters, town halls, intranet, and leadership communications. Use analytics and feedback to continually improve internal communications effectiveness. Media Relations & Thought Leadership Own and manage relationships with media outlets and journalists in India and North America. Craft and pitch press releases, bylines, feature stories, and leadership thought pieces. Prepare company spokespeople for public appearances and media engagements with briefing documents and coaching. Awards & Recognitions Identify and manage opportunities for industry and employer awards that elevate our brand and showcase our impact. Oversee the entire awards lifecycle from identifying submissions to writing, designing, and packaging entries. Amplify award wins and nominations internally and across external platforms. Talent Branding Partner with Talent Acquisition and the People Success team to strengthen MathCo s employer brand. Create compelling content for external platforms that highlights our workplace, culture, values, and people. Support recruitment marketing with campaigns, collateral, and branding for events such as campus hiring. Team & Stakeholder Management Lead and mentor a team of communication professionals. Collaborate with cross-functional stakeholders to ensure message consistency and alignment across touchpoints. Develop and implement a structured communication calendar and track key KPIs for communications effectiveness. 7 10 years of experience in corporate communications, marketing, or brand roles preferably in a B2B tech, analytics, or consulting environment. Strong leadership skills with experience managing teams and working in a matrixed organization. Exceptional storytelling, writing, and content development abilities across multiple formats and audiences. Demonstrated success in managing internal communications, employer branding, media relations, and award submissions. Strategic thinker with hands-on execution skills, and the ability to operate autonomously in a fast-paced, high-growth environment. Work with some of the brightest minds in enterprise AI and analytics. Play a pivotal role in shaping the voice and narrative of a growing global brand. Enjoy a culture that values people, innovation, and impact. Be part of a journey to "Leave a Mark" on the company, your career, and the industry.

Job Title: Lead Data Scientist Location: Bangalore North, Karnataka, India Job Type: Full-Time Industry: Entertainment / Mobile Gaming About Us We are one of India s most exciting and fast-growing mobile gaming companies. Founded in 2014 and partnered with Modern Times Group (MTG), our vision is to create simple, impactful casual game experiences at massive scale. Our portfolio includes evergreen hits such as Daily Themed Crossword, WordTrip, WordJam, WordWars, WordTrek, TileMatch, and Jigsaw. We have built a global network of chart-topping games supported by powerful tech and analytics infrastructure that fuels rapid growth. Position Summary As a Lead Data Scientist in our Central Analytics team, you will play a critical role in shaping data-driven strategies that enhance player experience and business performance. This fast-paced role offers abundant opportunities to work alongside product leaders and game teams, transforming complex data into actionable insights that drive user acquisition, engagement, and monetization. Key Responsibilities Collaborate closely with product leaders to provide data-driven advisory on strategic decisions. Partner with game development teams to analyze gameplay data and generate actionable insights that improve user acquisition, engagement, and monetization. Perform advanced exploratory data analyses and ad-hoc reporting to identify trends, issues, and opportunities across our game portfolio. Design, execute, and lead data research projects, delivering practical recommendations based on rigorous statistical analyses. Drive continuous improvement in game performance through innovative machine learning models and analytics techniques. Requirements Bachelor s/Master s/PhD degree in Computer Science, Statistics, or a related field. Proven experience with machine learning, statistical modeling, and data science projects. Hands-on proficiency in Python and/or Spark for data manipulation, visualization, and building ML models. Strong SQL skills with experience querying large, complex datasets from data lakes or warehouses. Demonstrated ability to lead research projects and translate findings into actionable business recommendations. Excellent interpersonal skills and a collaborative approach to working with cross-functional teams. Knowledge of Deep Learning frameworks and techniques is highly desirable. Work with a top-tier gaming company known for its innovative and data-driven culture. Influence millions of users worldwide through impactful analytics. Collaborate with talented teams in a high-growth, dynamic environment. Access to cutting-edge tools and technologies for data science and machine learning. Competitive compensation and career growth opportunities. Qualification : Bachelors/Masters/PhD degree in Computer Science, Statistics, or a related field.

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Vice President (VP), Product Management Tableau | Bangalore, India Full-Time | Product Management | Salesforce Lead Product Innovation for Tableau s Analytics Portfolio & Drive Customer Success Salesforce is seeking a visionary Vice President of Product Management for our Tableau product portfolio. In this strategic leadership role, you will own the end-to-end product lifecycle, driving innovation, execution, and customer value across Tableau s analytics and AI-driven offerings. As the India site leader for Product Management, you ll foster a collaborative, customer-centric product culture while partnering closely with global teams, sales, marketing, and engineering to accelerate growth and deliver next-generation analytics experiences. What You ll Do Lead and scale a high-performing team of product managers across Hyderabad and Bangalore, guiding the full product lifecycle from market research and vision setting to agile execution and go-to-market enablement Define and drive the Agentforce product strategy, leveraging Salesforce AI & automation capabilities to deliver autonomous, agentic analytics that enhance decision-making and user productivity Act as the India product management site leader, aligning regional efforts with global Tableau and Salesforce Analytics strategies to build a cohesive product culture Collaborate with cross-functional leaders, including engineering and sales, to foster innovation, increase velocity, and improve product quality Champion customer-focused product design by translating feedback and use cases into actionable, measurable solutions Build strategic customer relationships to validate concepts, gather insights, and ensure customer success Stay ahead of industry trends in analytics, BI, AI, and data platforms to drive competitive differentiation and identify new opportunities Deliver compelling product narratives and demos to internal teams, customers, and executives, clearly articulating Tableau s value proposition Promote a culture of experimentation and data-driven decision making using A/B testing, telemetry, and user research Mentor and develop emerging product leaders, fostering growth in product thinking, technical expertise, and leadership What You ll Bring 15+ years of product management experience, ideally in Analytics, Data, or AI-driven software products Proven ability to lead and inspire global, cross-functional product teams from inception through scale Strong people leadership skills, with a track record of building creative, collaborative teams and aligning performance with business goals Exceptional organizational, analytical, and communication skills, with experience in senior business discussions Willingness to travel regularly between Hyderabad and Bangalore, plus biannual visits to the US Deep passion for building customer-centric products and mentoring future product leaders Experience driving product vision and roadmap in complex, fast-paced environments Work at the forefront of analytics innovation with Tableau and Salesforce AI Be a key leader in a fast-growing product organization with significant impact on global strategy Thrive in a culture driven by collaboration, mentorship, and Salesforce s core values Access world-class learning, leadership coaching, and career development opportunities Competitive compensation and comprehensive benefits

Job Title: Director / Sr Manager - Platforms Location: Bangalore, Karnataka, India Job Type: Full-Time (Hybrid Work Model) Experience Level: 10+ Years About Eightfold.ai: At Eightfold.ai, we are revolutionizing how organizations manage talent by leveraging the power of artificial intelligence. Our cutting-edge AI platform is transforming the way businesses hire, develop, and retain talent. By utilizing AI to understand individual skills and potential, we re solving the fundamental problem of matching people with the right opportunities. We are looking for a visionary engineering leader to drive the growth of our Core Infrastructure Team in India, shaping the foundation of our AI platform. About the Core Infrastructure Team: The Core Infrastructure Team at Eightfold is the backbone of the organization, responsible for the architecture, maintenance, and enhancement of critical infrastructure elements that support our entire technology stack. Our team builds and maintains systems for Search, Databases, Machine Learning Infrastructure, Data Warehouses, Developer Platforms, and Application Infrastructure. We ensure the scalability, security, and reliability of these services, which underpin every product that we offer to our users and customers. What You ll Own & Drive: As the Director / Sr Manager - Platforms, you will lead the technical direction for Eightfold's infrastructure, security, and analytics platforms, ensuring they meet the needs of our growing enterprise-scale business. Vision & Roadmap: Lead the strategy, roadmap, and execution of the Infrastructure, Security, and Analytics platforms. Team Building: Hire, mentor, and lead a high-performing engineering team, fostering a culture of innovation, excellence, and autonomy. Cross-Functional Collaboration: Partner with Product, Data, and DevOps teams to build secure, scalable systems that support business growth. Infrastructure Scaling: Ensure reliability, availability, and performance across both cloud (AWS, GCP) and on-prem environments. Security Leadership: Define and enforce security protocols, including threat modeling, vulnerability management, and compliance frameworks (SOC2, ISO27001, etc.). Operational Excellence: Champion modern engineering practices, including CI/CD, observability, and cost optimization. Analytics Platform Development: Lead the creation and scaling of an end-to-end Analytics Product stack including data warehouse, query engine, and dashboards. Ownership & Impact: Take ownership of the full product/technology lifecycle from vision, architecture, and deployment, ensuring long-term impact and success. What You Bring: Required Skills & Experience: 10+ Years of Engineering Experience: Significant experience in engineering with at least 3+ years in a leadership role leading teams at scale. Expertise in Cloud Infrastructure: Deep expertise in cloud-native infrastructure (AWS, GCP, etc.) and DevSecOps principles. Proven Success in Platform Scaling: A track record of building and scaling secure, reliable platforms at an enterprise level. Security Expertise: Leadership in security initiatives, including threat modeling, vulnerability management, and compliance. Excellent Communication: Strong communication skills, with the ability to influence and collaborate across engineering and business teams. Bonus Experience: Exposure to scaling analytics stacks (Snowflake, dbt, Airflow, Looker, etc.) is a plus. Leadership & Culture Building: Demonstrated success in building high-caliber teams and cultivating a thriving engineering culture. Impactful Leadership: Take on a high-leverage leadership role that shapes the foundation of Eightfold's AI platform and directly impacts the company s growth and success. Innovative Environment: Work with cutting-edge technologies and collaborate with brilliant minds to solve complex engineering challenges. Career Growth: As a leader at Eightfold, you will have the autonomy to drive strategic initiatives while building and scaling high-performing teams. Hybrid Work Model: Enjoy a flexible hybrid work model with the ability to work remotely while maintaining a strong in-office presence for team collaboration starting February 1, 2024. Comprehensive Benefits: Competitive salary, comprehensive family medical coverage, and eligibility for equity awards and discretionary bonuses or commissions. How to Apply: If you're a visionary engineering leader with a passion for building scalable, secure platforms and leading high-performing teams, we want to hear from you. Join Eightfold.ai and help us redefine how companies build, hire, and retain their workforce using AI-powered talent intelligence. Equal Opportunity Employer: Eightfold.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability.

Engineering Manager Data Location: Bangalore, Karnataka | Department: Tech About the Team At Meesho, we power millions of orders daily with zero downtime thanks to our cutting-edge data and backend systems. Our engineering culture is built on speed, ownership, and a growth mindset. We embrace failures as learning opportunities and foster a 'Founder s Mindset' across all engineering teams. We're passionate technologists, team players, and storytellers just as comfortable building robust data platforms as we are bonding over books, games, or chai. If you're ready to lead a team building high-impact, real-time data systems that touch millions of users, come join us. About the Role We are seeking an experienced Engineering Manager Data to lead our data engineering initiatives. You ll be responsible for building scalable data platforms, managing distributed systems, and ensuring data accuracy, accessibility, and real-time analytics capabilities. This role combines technical depth, strategic thinking, and team leadership to build next-gen data systems powering Meesho s mission. What You Will Do Design and allocate technical tasks based on Meesho s data engineering standards and architecture. Lead and mentor a team of data engineers; conduct regular performance reviews and provide growth feedback. Oversee development of scalable, distributed data systems across streaming and batch pipelines. Collaborate with Product, Design, and Sales teams to create innovative data-driven products and features. Monitor project progress, drive sprint planning, and report on key metrics using OKRs. Promote engineering best practices, data quality standards, and cloud-native development. What You Will Need Bachelor s or Master s in Computer Science or a related field. 8+ years of overall experience, with 4+ years managing software/data engineering teams. Hands-on expertise in Java, Python, or Go and multithreading. Experience with distributed data systems, including Apache Spark, Kafka, and streaming architectures. Deep understanding of relational and NoSQL databases. Proficient in cloud platforms (preferably AWS) and containerized deployments. Experience in data modeling, pipeline architecture, and data quality frameworks. Familiarity with BI tools like Tableau, Metabase, or Superset. Good to have: Knowledge of Trino, Flink, Presto, Druid, Pinot, and real-time analytics platforms. Strong project and stakeholder management; ability to lead cross-functional teams. About Us Meesho is India s fastest-growing e-commerce platform on a mission to democratize internet commerce for every Indian. With 1.75M+ sellers and millions of active customers, we offer zero commission, the lowest shipping costs, and unparalleled reach across every serviceable pincode in India. We're building Meesho to be Meri Shop for the next billion users empowering small businesses and first-time entrepreneurs to sell and thrive online. Our Culture & Total Rewards Our culture is rooted in impact, innovation, and inclusivity. Guided by 11 core principles or "Mantras", we empower our teams to think big, move fast, and grow constantly. Daily rituals like Reflections and Listen or Die ensure everyone has a voice and a growth path. What We Offer: Competitive Compensation including salary, performance bonuses, and equity. Wellness & Insurance via our MeeCare program, with extensive coverage for employees and families, plus mental health and wellness initiatives. Work-Life Balance with flexible work hours, generous leave policies, and parental support. Learning & Development with courses, mentorship, and career mobility through our Internal Mobility Program. Perks & Benefits including salary advances, relocation support, recreational discounts, and employee gifts. Join us to lead the data transformation at Meesho and help shape the future of commerce for India s next billion users. Apply now to make your mark! Qualification : Bachelors or Masters in Computer Science or a related field.

Senior Manager Business Intelligence | Power BI | Data Strategy | SQL | Bangalore Location: Bangalore, India Reports To: Director, Business Analytics & Insights Experience: 8+ years in Business Intelligence / Analytics Leadership Industry: SaaS | Revenue Lifecycle Management | Data & Analytics About Conga: At Conga, we empower businesses to achieve transformational revenue growth by aligning teams, technology, and processes through our comprehensive Revenue Lifecycle Management solutions. We simplify complexity across contract management, order execution, fulfillment, and renewals using a unified data model built to adapt to dynamic business needs. Our culture is defined by the Conga Way a people-first framework developed with input from employees that guides everything we do from hiring to leadership to innovation. Role Overview Senior Manager, Business Intelligence: We are seeking a highly driven Senior Manager Business Intelligence to lead our Power BI development team, drive analytics strategy, and modernize how we deliver data insights across the organization. Based in Bangalore, this high-impact leadership role is responsible for building scalable reporting infrastructure, streamlining automation, and delivering clear, actionable insights for senior stakeholders and executive decision-makers. Why this role matters: This position plays a critical role in transforming business intelligence from manual reporting to dynamic, real-time dashboards using Power BI. Your contributions will shape how our business leaders consume data, identify opportunities, and make informed decisions faster and with more accuracy. Key Responsibilities: Leadership & Oversight: Manage and mentor a team of Power BI developers and data analysts, guiding prioritization, best practices, and technical problem-solving. Foster a culture of data-driven decision-making across the organization. BI Development & Data Modeling: Lead the development of interactive Power BI dashboards, leveraging advanced DAX functions and data models. Utilize SQL (preferably in Snowflake) to support backend data transformation and reporting. Stakeholder & Project Management: Collaborate with cross-functional teams, including IT and enterprise analytics, to define project scopes, business priorities, and reporting solutions. Translate ambiguous business requirements into clear, actionable technical specifications. Data Governance & Documentation: Implement and oversee data quality, security, and governance standards across all BI assets. Maintain comprehensive documentation for BI tools, data models, and business logic. Automation & Process Efficiency: Oversee automation of recurring deliverables including board reports, senior leadership dashboards, and key business performance metrics. Leverage Power Automate and other workflow tools to reduce manual effort and enhance reporting accuracy. Strategic Data Integration: Partner with enterprise data teams to improve data integration and ensure scalability and reusability of analytics assets. Qualifications: 8+ years of experience in Business Intelligence, Analytics, or Data Strategy, including team leadership. Strong hands-on experience with Power BI, DAX, and SQL (preferably with Snowflake or similar cloud platforms). Proven success in project management, requirement gathering, and stakeholder engagement across multiple business units. Bachelor s or Master s degree in Engineering, Computer Science, or related technical field. An MBA is strongly preferred. Experience in data governance, automation, and working in a SaaS or enterprise software environment is a plus. What Sets You Apart: Excellent communicator You bridge the gap between technical and non-technical stakeholders with ease. Strategic mindset You think beyond dashboards to the big picture of business impact. Problem solver You enjoy tackling complex data challenges and finding innovative solutions. Passionate leader You inspire teams, drive accountability, and bring a growth mindset to everything you do. Drive data transformation at a high-impact SaaS company. Be part of a people-first culture that values growth, innovation, and inclusivity. Work on mission-critical projects that support strategic decision-making for global leadership. Qualification : Bachelors or Masters degree in Engineering, Computer Science, or related technical field. An MBA is strongly preferred.

Senior Product Manager AI Products | SaaS | CLM | Bangalore Location: Bangalore, India Department: Product Management Reports To: Manager, Product Management Experience Required: 5+ years in Product Management (B2B SaaS, AI, or Document Automation) Industry: SaaS | AI/ML | Contract Lifecycle Management (CLM) About Conga At Conga, we help global businesses simplify complexity and drive revenue growth through powerful Revenue Lifecycle Management solutions. Our platform unifies critical business processes across configuration, execution, fulfillment, and renewal empowering teams with AI-driven insights to make smarter, faster decisions. The Conga Way shapes our culture it s how we hire, collaborate, and innovate. Developed with direct input from our employees, it ensures every voice is heard and every talent is nurtured. Role Overview Senior Product Manager (Discovery AI): We are looking for a Senior Product Manager to lead the development of Discovery AI, Conga s advanced metadata extraction and document analysis engine. You will play a key role in bringing AI-powered solutions to market, working cross-functionally to drive innovation and enhance the way enterprises manage contracts and data. Why This Role Matters: Discovery AI helps businesses unlock hidden insights from unstructured documents, improving compliance, reducing manual processing, and increasing operational efficiency. Your leadership will define how Conga delivers next-generation solutions in document intelligence, AI, and contract metadata extraction transforming the way customers interact with their most critical data. Key Responsibilities: AI-Driven Product Innovation: Define and lead the roadmap for metadata extraction and document intelligence solutions powered by AI/ML. Hands-On Product Execution: Deliver demos, manage implementation rollouts, and work closely with scrum teams to ship features on time and with impact. Customer-Centric Strategy: Gather and prioritize customer feedback to continuously refine Discovery AI features and address real-world use cases. Cross-Functional Leadership: Collaborate with engineering, data science, UX, services, and marketing teams to ensure aligned product delivery. Market & User Research: Conduct in-depth research to identify opportunities for new AI-powered capabilities and competitive differentiation. Analytics & Prioritization: Use data insights and usage metrics to shape roadmap decisions and measure product success. Internal Enablement: Create clear documentation, support training materials, and partner with customer success to handle escalations. Go-to-Market Collaboration: Work with marketing and sales teams to communicate product value and drive adoption. Qualifications: 5+ years of experience in Product Management, ideally in B2B SaaS, AI/ML, or document/data extraction platforms. Proven ability to manage full product lifecycle from concept to launch and iteration. Strong grasp of AI/ML fundamentals and how they apply to business workflows. Experience with Contract Lifecycle Management (CLM) or enterprise legal/document systems is a strong plus. Bachelor s degree in Engineering or related technical field (Master s or MBA is a plus). Strong communication and stakeholder management skills across both technical and business teams. Passionate about solving real-world customer problems using data and intelligent automation. What Will Set You Apart: Deep empathy for the customer journey and a strong desire to build products that deliver measurable impact. Proven leadership in Agile product development environments. Ability to clearly communicate complex technical concepts to non-technical audiences. Enthusiasm for AI-driven transformation and the future of intelligent business systems. Collaborative mindset with the ability to influence without authority across distributed teams. Qualification : Bachelors degree in Engineering or related technical field (Masters or MBA is a plus).

Analytics Lead/Architect Location: Bengaluru, Karnataka, India Job Category: Consulting Job Type: Regular Employee Role: Individual Contributor Job Description: As a BI Architect, you will work on both offshore and onsite client projects. Your responsibilities will involve working with Oracle BI Applications, OAC (Oracle Analytics Cloud), and ODI (Oracle Data Integrator) implementations. You will engage with clients to understand their requirements, lead technical designs, and oversee system and integration testing using Oracle methodologies. You will also contribute to PreSales, the creation of Go-to-Market (GTM) strategies, and take the lead in developing IP/solution accelerators. Additionally, you will be responsible for owning the technical delivery of large, complex projects. Responsibilities: Lead Oracle BI Applications, OAC, and ODI implementations. Interact with clients to understand and gather business requirements. Oversee technical design, development, and system/integration testing. Contribute to PreSales activities and the creation of Go-to-Market (GTM) strategies. Lead the development of IP/solution accelerators. Own the technical delivery of large and complex projects. Required Skills: BI (Business Intelligence) expertise. Experience with Oracle Data Integrator (ODI). This position offers the opportunity to work on cutting-edge analytics technologies and deliver impactful solutions in a collaborative and dynamic environment. If you have significant experience in Oracle BI and ODI implementations, and enjoy leading large, complex projects, we would love to hear from you.

Job Description Key Accountabilities In this Strategic Leadership Role, you will be responsible for Customer Success of the Brand and Media Practice for India . Key responsibilities encompass delivering with excellence while maintaining delivery standards, driving high operational efficiency and a strong sales mindset (support upselling & cross-selling); enabling timely revenue recognition and profitable execution. Core Responsibilities Lead and Manage a strong customer success delivery team for the Brand and Media practice for India. Support the India Sales organization and clients with best in class methodologies, deliverables and technical needs. Driving expertise in the practice and being the methods champion. Bringing that expertise to the fore in our proposal writing and RFP. Support the India Customer Success lead in managing the P&L of the practice area including W&S and T&E budgets. Coordinate and drive cross-training programs in order to maximize solution and delivery excellence, expertise, and staffing flexibility. Set and measure a high level of delivery standards driving client satisfaction. Contribute to meet India revenue targets by supporting repeat sales and timely deliverables. Coordinate and support with India Vertical business leaders and Client Sales partners on client and project revenue growth, retention, and profitability. Represent Customer Success at key client meetings, Top-To-Top meetings, and key engagements as relevant. Work with regional customer success leader and bring best practices to the local market. Develop and implement best delivery practices. Target reductions in cycle time across ad hoc methods. Drive high level employee engagement and retention. Foster a culture of continuous improvement and accountability to drive organizational efficiency. Key stakeholder in providing input into product and toolkit roadmap, representing India needs for the practice area. Lead and enable industry and thought leadership efforts from the Brand and Media Practice. Core KPIs Team Engagement and Retention Increase engagement among customer success associates in the region as measured through Engage results as well as retention of associates. Regional Revenue for the Practice Area Drive repeat sales, renewals. Ensure all delivery schedules are optimized to meet quarterly revenue targets. NPS Ensure sufficient response rate from clients. Increase/maintain baseline performance. Support and/or lead key client follow ups and action plans. EBITDA Support India lead to: Monitor project and solution profitability, and leverage time tracking learning to help improve delivery contribution. Manage W&S Delivery budget through a lens of optimization for India via org design, hubbing, etc. Manage T&E budget through the lens of prioritizing client engagement as well as team performance and engagement. Skillsets Strong sense of urgency and accountability to drive client outcomes. Proven experience in leading a team, managing people, and developing talent. Able to work collaboratively with internal & external teams. Capable to maintain positive client relationships in complex situations & resolve client issues. Strong logic, deductive reasoning, problem-solving, and critical thinking skills. Skilled & polished communicator, including client presentations. Able to synthesize data & simplify findings to solve client business issues. Strong project management skills and ability to manage multiple priorities. Experience using large data sets to finding insights and make recommendations. High say-do ratio. Experience in driving organizational transformation is a plus. Qualifications Proven track record in Analytics Consultancy/ Market Research leadership roles. Expertise in (application of) Customer Insight Solutions preferred. Proven leader of high performing teams. Bachelor's Degree required, Master s preferred, or equivalent experience. Knowledge in sales processes in CPG companies, customers, modern and traditional market. Good knowledge of NielsenIQ products, services and data preferred. Strong analytical skills. Proven sales acumen. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights delivered with advanced analytics through state-of-the-art platforms NIQ delivers the Full View . NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world s population. Qualification : Bachelor's Degree required, Masters preferred, or equivalent experience.

Global Analytics Product Owner At ABB, we are dedicated to addressing global challenges. Our core values: care, courage, curiosity, and collaboration - combined with a focus on diversity, inclusion, and equal opportunities - are key drivers in our aim to empower everyone to create sustainable solutions. Write the next chapter of your ABB story. This position reports to Global Analytics Delivery Leader Your role and responsibilities In this role, you will have the opportunity to provide technical and business process/data advice to support ongoing operations and new software development. Each day, you will utilize your knowledge on systems, procedures, and emerging technologies. You will also showcase your expertise by overseeing the development, and validating the functionality, of the final product. The work model for the role is #LI #Onsite This role is contributing to the Electrification area in India. You will be mainly accountable for: Effectively driving E2E Analytical Project Execution which includes functional planning, technical solutioning, ETL development, Data visualization output, UAT & Go Live. Driving regular communication with team members to determine the status of various project milestones and potential roadblocks that need to be resolved. Driving crisp communication with key Business stakeholders to ensure clear linkage between project objectives and EL Business strategic initiatives. Proactively covering Issue Identification & resolution to ensure project is on track. Proficient in cost estimation, resource allocation and attrition management for project team. Effectively driving quality assurance within the technical team to ensure on time, actionable, First time right solutions to the Business. Encourage, Inspire & indulge team members to ensure that they are rightly motivated to deliver critical tasks on time. Manage complete documentation of the project from planning to Operations handover phase. Partner with senior leaders to build delivery roadmap for all projects within a specific Analytical product. Qualifications for the role 10 years of overall work experience as Product Owner/Product Manager. Prior experience as a Functional Analyst or Business Analyst in atleast one domain [Finance, Sales, Operations, Logistics, Manufacturing etc.]. Should be PMP, SAFe5 POPM, CSPO & ITIL certified with optional certification in CSM & PSPO I. Proficient in DevOps and any of the prevalent PM tools (Trello, Zoho Projects, Teamwork, Moday.com Asana, Basecamp, Toggl Plan etc.). Proficiency in Stakeholder management, Business Process Management & Team management. Preferred experience in Managing E2E Analytical projects in Snowflake. Education: ME/ M.Tech./ MS (Engg/ Sciences) and BE/BTech (Engineering). Industry: Manufacturing/Industrial. Qualification : ME/ M.Tech./ MS (Engg/ Sciences) and BE/BTech (Engineering).

Pricing Process Owner Global Pricing Location: Bengaluru, India About Schneider Electric Schneider Electric is a global leader in energy management and automation, driving digital transformation for sustainability and efficiency. With 160,000 employees in over 100 countries, we develop innovative solutions from simple switches to complex automation systems that help our customers manage and optimize their operations. At Schneider Electric, we believe that Life Is On for everyone, everywhere, at every moment. About the Role We are seeking a Pricing Process Owner to lead the development and implementation of Global Pricing Processes within Schneider Electric. This role is essential in defining pricing best practices, ensuring alignment across countries, and leveraging digital solutions to optimize pricing models. The Pricing Process Owner will play a key role in shaping pricing strategy, driving process transformation, and supporting pricing tool implementation to ensure efficiency and stability in critical business functions. Key Responsibilities 1. Pricing Process Development & Implementation Design Global Pricing Process maps for Country/Operations Price Waterfall Management. Develop global guidelines for pricing processes, including: List Price Management Standard Discount Management Special Price Agreement (SPA) Management SPA Off-Invoice Claim Management Performance Bonus Management Sell-Out Pricing Management Ensure seamless implementation of pricing processes across countries in alignment with global guidelines. Support Pricing System Assessments, identifying gaps and opportunities for process improvements. Lead pricing process transformation projects in various countries, ensuring best practices are adopted. 2. Pricing Tools & Digital Enablement Act as a subject matter expert for pricing tool implementations. Guide project managers and cross-functional teams on pricing tool deployments. Support the adoption of digital pricing solutions such as: Peer Pricing List Price Optimization Price Fx Data-driven pricing tools Drive continuous improvement initiatives by collaborating with optimization experts. 3. Training & Change Management Act as a lead trainer on pricing topics, delivering training sessions across global teams. Support content creation for employee training and development. Promote adoption of new pricing models and innovative pricing analytics. Engage in thought leadership on pricing trends, AI-driven pricing models, and machine learning applications. Qualifications & Experience Required: Bachelor s/Master s degree in Business, Marketing, or a related field. Experience in E-Commerce, Pricing, or Category/Channel Management (preferably in a B2B industry). Strong understanding of Schneider Electric s Price Waterfall (preferred). Hands-on experience with pricing tools, data analytics, and process automation. Familiarity with MS Office Suite (Excel, PowerPoint, Word). Prior experience in tool deployment projects (preferred but not mandatory). Critical Skills & Competencies Analytical & Problem-Solving: Ability to break down complex pricing challenges into implementable solutions. Stakeholder Management: Strong ability to influence and align diverse stakeholders across functions, regions, and seniority levels. Innovative Thinking: Ability to apply AI, Machine Learning, and data analytics to pricing optimization. Communication & Change Management: High proficiency in communication and training delivery for global teams. Multi-Tasking & Flexibility: Ability to handle multiple projects across time zones and regions. Digital Savvy: Passion for technology, automation, and digital transformation in pricing. CPP Certification: Either already certified or willing to complete Certified Pricing Professional (CPP) certification within 6-8 months of joining. Additional Information Travel Requirement: This role may require frequent travel to meet stakeholders, lead training sessions, and oversee process implementations. Travel will follow Schneider Electric s Health & Safety Guidelines and applicable regulations. At Schneider Electric, we value impact-driven individuals who turn sustainability ambitions into action at the intersection of automation, electrification, and digitization. Our IMPACT values Inclusion, Mastery, Purpose, Action, Curiosity, and Teamwork define our culture and drive our success. Join us and become an IMPACT Maker! Apply today and be part of a company that is reshaping industries, transforming cities, and enriching lives. Qualification : Bachelors/Masters degree in Business, Marketing, or a related field.

Senior Technical Lead FAW, Data Modelling, & OBIEE Location: Remote / Bangalore, India Experience: 7-12 Years About the Role We are seeking a Senior Technical Lead with deep expertise in Fusion Analytics Warehouse (FAW), Data Modelling, and OBIEE to design and implement cutting-edge enterprise analytics solutions. This role requires hands-on experience in FAW customization, OBIEE development, data integration, and ETL/ELT processes. As a key technical leader, you will work closely with internal teams and stakeholders to develop scalable, high-performance analytics solutions, ensuring alignment with business goals. Key Responsibilities FAW & OBIEE Development Lead the design, development, and deployment of enterprise analytics solutions using Fusion Analytics Warehouse (FAW) and OBIEE. Implement and manage FAW solutions, ensuring alignment with business requirements. Customize FAW dashboards and reports to meet specific organizational needs. Data Modelling & Integration Design, develop, and maintain robust data models, including dimensional modelling and star schema design. Provide expertise in ETL/ELT processes and data integration to support seamless data flow. Work with Oracle, SQL Server, and other database management systems to optimize data performance. OBIEE Development & Optimization Develop and maintain OBIEE reports, dashboards, and metadata repository (RPD). Troubleshoot and optimize OBIEE performance, ensuring scalability and reliability. Ensure data security and compliance across FAW, OBIEE, and related analytics platforms. Collaboration & Stakeholder Engagement Provide technical expertise in data integration, reporting, and visualization to internal teams and stakeholders. Effectively communicate complex technical concepts to non-technical stakeholders. Collaborate with cross-functional teams to ensure timely and successful project delivery. Required Qualifications & Skills Education & Experience Graduate degree in Computer Science, Information Technology, or a related field. 7-12 years of experience in enterprise analytics and business intelligence. Technical Expertise Fusion Analytics Warehouse (FAW): Hands-on experience in customization and deployment. Data Modelling: Strong knowledge of dimensional modelling and star schema design. OBIEE: Expertise in RPD development, dashboard/report creation, and performance tuning. ETL/ELT: Strong understanding of data integration processes and tools. SQL & Databases: Proficiency in Oracle, SQL Server, and other database management systems. Cloud Analytics: Familiarity with Oracle Cloud Infrastructure (OCI) and Oracle Analytics Cloud (OAC). Soft Skills Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and in a team-oriented environment. Lead Cutting-Edge Analytics Initiatives Work with FAW, OBIEE, and cloud-based analytics platforms. Career Growth Opportunities for learning, upskilling, and career advancement. Collaborative Environment Work alongside industry experts in a dynamic, innovative culture. Comprehensive Benefits Competitive salary, remote work flexibility, and a supportive work environment. Join Our Team & Shape the Future of Enterprise Analytics! If you are passionate about data analytics, FAW, and OBIEE, we encourage you to apply! Apply Now! Qualification : Graduate degree in Computer Science, Information Technology, or a related field.