Power BI Service Jobs in Bengaluru

Senior Manager, Security Operations Center (SOC) Location: Bangalore Type: Full-Time Experience Required: 8+ Years (3+ in Leadership) Role Overview: Strategic Cyber Defense We are seeking a Senior Manager to lead and modernize our SOC operations across enterprise and product environments. You will oversee a high-performance team dedicated to threat detection, advanced detection engineering, and incident response. This role is a strategic blend of technical mastery leveraging AI and SOAR and people leadership, focused on building a resilient, automation-first security culture. Core SOC Service Offerings & Expertise Advanced Defense & Detection: Detection Engineering: Implement Detection-as-Code practices and prioritize backlogs based on the evolving threat landscape. Threat Intelligence & Hunting: Deliver actionable intel and execute structured threat hunting hypotheses to proactively identify stealthy adversaries. Deception & Validation: Manage deception strategies (honeypots/tokens) and use attack emulation tools to validate detection logic effectiveness. Forensics: Lead digital forensic investigations, evidence acquisition, and post-incident analysis. Automation & Technology Stack: Azure Ecosystem: Advanced proficiency with Microsoft Sentinel, Defender XDR, and Defender for Cloud using KQL. Cloud Operations: Strong knowledge of security operations across Azure, AWS, and preferably GCP. SOAR & AI: Champion the integration of Security Orchestration, Automation, and Response (SOAR) and AI to drive SOC efficiency. Key Responsibilities Leadership & Strategy: Team Development: Coach and mentor the SOC team, conducting regular 1-on-1s and fostering a growth-oriented culture to prevent burnout. Roadmap Execution: Help define a comprehensive SOC strategy and maturity framework aligned with organizational risk management. Stakeholder Liaison: Act as a trusted advisor to Product, IT, and Development leaders to integrate security into cross-functional workflows. Metrics & Operational Excellence: Data-Driven Reporting: Develop dashboards (e.g., Power BI) to track KPIs, KRIs, and detection coverage. Incident Lifecycle: Lead the lifecycle of escalated incidents, conduct root cause analysis, and execute tabletop exercises. 24/7 MDR Strategy: Define operational procedures for Managed Detection and Response (MDR) and sustainable on-call rotations. Qualifications for Success Proven Leadership: 8+ years in InfoSec with specific experience leading SOC or MDR functions. Azure Mastery: Deep technical expertise in the Microsoft security stack. Framework Knowledge: Familiarity with MITRE ATT&CK, Purple Teaming, and cloud-native detection. Soft Skills: Exceptional ability to simplify complex technical content for executive-level communication.

Business Analyst Location: Bengaluru Employment Type: Full-Time About Zolve Welcome to the financial frontier of limitless possibilities welcome to Zolve. We're not just a fintech company we're reimagining global finance. As the world s first cross-border neo-bank, Zolve empowers global citizens, migrants, and nomads to access credit and financial services in their new country based on their home country credit profile. With products like checking accounts, credit cards, loans, remittances, and insurance, Zolve is eliminating borders in banking helping people be financially free and pursue their ambitions wherever they are. As we expand into new geographies and product lines, we re looking for a Business Analyst to help us drive data-backed decisions and create meaningful impact across our business. About the Role As a Business Analyst at Zolve, you ll act as a critical link between business stakeholders and technical teams. Your role will involve analyzing complex data, generating insights, and presenting actionable recommendations that support decision-making across the organization. You ll collaborate cross-functionally with product, growth, engineering, and leadership teams to shape the future of our cross-border financial solutions. Key Responsibilities Data Analysis & Insights Query, manipulate, and analyze large datasets using SQL and Python Identify trends, patterns, and anomalies to uncover business opportunities and risks Deliver actionable insights that influence product, growth, and strategy decisions Data Visualization & Storytelling Translate data into compelling narratives through dashboards, reports, and visualizations Build and maintain dashboards using tools like Tableau, Power BI, Metabase, etc. Stakeholder Collaboration Work closely with business, product, and engineering teams to gather requirements and define analytical solutions Communicate findings clearly and effectively to both technical and non-technical audiences Data Quality & Governance Ensure the accuracy, integrity, and consistency of data through validation and quality checks Partner with data engineering to improve data infrastructure and reporting capabilities Integration & Automation Build and maintain scripts to integrate data between internal systems and third-party platforms Support automation of recurring reporting and analytics processes Qualifications Education & Experience Bachelor's degree in a relevant field (Engineering, Mathematics, Economics, Business, etc.) 3+ years of experience as a Business Analyst, Data Analyst, or in a similar analytical role Technical Skills Strong proficiency in SQL and Python for data extraction and analysis Advanced Excel skills including pivot tables, lookups, and complex formulas Experience with data visualization tools such as Tableau, Power BI, or Metabase Preferred Qualifications Experience in data modeling and database design Exposure to statistical methods and predictive analytics Domain experience in fintech, e-commerce, or healthcare is a plus What You'll Love at Zolve Mission-driven work that makes a global impact Fast-paced, startup environment with real ownership and responsibility Collaborate with smart, ambitious, and kind teammates Opportunity to grow with a rapidly expanding fintech company Qualification : Bachelor's degree in a relevant field (Engineering, Mathematics, Economics, Business, etc)

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: MIS Analyst Location: Bangalore Experience: 0 2 years Industry: Fintech / Financial Services About Muthoot FinCorp ONE Muthoot FinCorp ONE is the digital arm and strategic business unit of Muthoot FinCorp Ltd., a trusted name in financial services. We re building a robust digital ecosystem that offers customers access to a wide range of financial products across Lending, Saving & Investment, Protection, and Remittance. As a fintech startup with the backing of a legacy brand, we combine innovation with reliability. Our mission is to simplify financial access through a seamless, user-friendly platform and to be the most trusted digital financial services provider in the country. Startup agility with enterprise stability High-growth, high-ownership environment Mentorship from industry veterans Attractive compensation and benefits Work on real impact projects from day one Role Overview: As an MIS Analyst, you will play a key role in leveraging data to drive strategic decision-making. You ll be responsible for reporting, analysis, and generating business insights that influence product, marketing, operations, and revenue strategies. Key Responsibilities: Analyze business data to identify patterns, trends, and actionable insights Design, build, and manage internal dashboards and reporting tools to track key performance indicators (KPIs) Deliver weekly, monthly, and ad-hoc reports for senior leadership and business teams Collaborate with cross-functional teams to understand data needs and support strategic initiatives Work with large datasets to uncover insights related to user behavior, channel performance, customer journeys, etc. Conduct deep dives into key business questions using SQL, R, Excel, or Python Communicate findings clearly to both technical and non-technical stakeholders Create models and frameworks to predict business outcomes and identify opportunities Ensure data integrity and accuracy across reports and visualizations Support campaign analysis and performance tracking for digital marketing efforts Key Skills & Qualifications: Bachelor's in Engineering, Mathematics, Statistics, or related discipline OR MBA from a reputed institute 0 2 years of experience in MIS, Data Analysis, or Business Analytics Proficiency in SQL and data visualization tools like Tableau, Power BI, QlikView Experience with reporting tools (e.g., Business Objects, Excel) Working knowledge of statistics and tools like R, SAS, SPSS Familiarity with data pipelines and querying large datasets Strong analytical skills and attention to detail Excellent communication and presentation skills Prior experience or understanding of NBFCs, banking, or lending products is a plus Preferred Tools & Platforms: SQL / Hue / ETL frameworks Tableau / Power BI / QlikView R / Python Excel / Google Sheets Join us at Muthoot FinCorp ONE and make your mark on the digital financial landscape. Apply now and let s build the future together. Qualification : Bachelor's in Engineering, Mathematics, Statistics, or related discipline

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.

Job Title: Customer Success Executive E-commerce Insights (SaaS | Bangalore) Location: Bangalore, India Experience: 2 5 Years Industry: E-commerce | SaaS | Data Analytics | Customer Success About the Role As part of our Bangalore-based customer success team, you ll work with leading global brands and partners, ensuring seamless service delivery and helping clients unlock the full potential of their e-commerce data. Key Responsibilities Client Ownership & Engagement: Manage a portfolio of global e-commerce clients, acting as the single point of contact for project execution, performance tracking, and customer satisfaction. Cross-functional Coordination: Collaborate with internal teams across product, operations, analytics, and sales to ensure project feasibility, on-time delivery, and client success. Data Analysis & Reporting: Use brand data to track performance metrics, identify business opportunities, and provide actionable insights through regular reporting and dashboards. Insight-Driven Strategy: Translate e-commerce data into strategic recommendations that drive measurable client value and product adoption. Presentation & Communication: Create compelling reports, visualizations, and client presentations for business reviews and stakeholder discussions. Issue Resolution & Project Management: Address client concerns, manage scope adherence, resolve conflicts, and oversee both BAU and ad-hoc project requests. Mentorship: Support and guide junior team members, fostering skill development and team collaboration. Key Requirements 2 5 years of experience in a customer-facing role within a SaaS or E-commerce organization. Strong understanding of e-commerce operations and analytics. Exceptional presentation and communication skills, both written and verbal. Proven ability to manage KPIs, performance reports, and customer success metrics. Experience in data interpretation, storytelling, and visualization tools (e.g., Power BI, Tableau, Excel). Ability to convert complex data into business recommendations and meaningful conversations. Highly organized, detail-oriented, and customer-focused mindset. Strong ethics, proactive approach, and a team player attitude. At Shopalyst, we re building a global, inclusive workplace that empowers individuals from all backgrounds. We believe diversity fuels innovation and growth. If you re ready to make an impact, even if you don t meet every qualification listed, we encourage you to apply.

Job Title: Operations Analyst Location: Bengaluru, India Company: ShopUp About ShopUp ShopUp is Bangladesh s leading full-stack B2B commerce platform for small businesses. With a mission to empower underserved retailers through technology, logistics, and financial services, ShopUp builds end-to-end infrastructure to solve core supply chain problems. Our India-based tech and data teams play a critical role in scaling intelligent, data-driven solutions across our platform. Role Overview We are looking for a performance-driven Operations Analyst to join our Bengaluru team. The ideal candidate will have a strong foundation in data analytics, a clear understanding of B2B commerce and logistics models, and the ability to drive cross-functional collaboration using insights derived from operational metrics. Key Responsibilities Analyze end-to-end operational data to identify bottlenecks, inefficiencies, and opportunities for optimization. Define and monitor operational KPIs; create dashboards that track performance across functions and geographies. Collaborate closely with finance, business, and tech/product teams to align operations with strategic business goals. Quantify the financial impact of inefficiencies and support data-driven decision-making for process improvements. Partner with product and operations teams to develop and refine SOPs to streamline workflows. Support the execution and tracking of operational enhancement projects through data and insights. Prepare regular performance dashboards and reports for senior leadership and key stakeholders. Qualifications Education: Bachelor s degree in Engineering, Data Science, Economics, or a related field. Experience: 3 5 years of relevant experience in operations, logistics, or business analysis, preferably in a B2B commerce or supply chain-focused organization. Key Skills Strong data analysis and problem-solving skills; ability to perform root cause analysis (RCA) and recommend actionable solutions. Proficiency in SQL (MS SQL, PostgreSQL, or MongoDB) for advanced queries and data extraction. Expertise in Excel/Google Sheets with experience in complex data modeling. Experience with BI and dashboarding tools (e.g., Power BI, Tableau, Looker Studio). Working knowledge of Python, R, or Go for data manipulation is a plus. Familiarity with ERP/CRM workflows and systems. Experience with project management tools (e.g., JIRA, Trello, Asana). Strong interpersonal and communication skills, with an ability to work cross-functionally and present insights to non-technical stakeholders. Be part of a fast-growing tech-first company solving real-world problems in emerging markets. Work alongside a talented and mission-driven team across India and Bangladesh. Enjoy a collaborative work culture with autonomy, growth opportunities, and continuous learning.

Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience Required: 4 6 Years Education: B.E./B.Tech or equivalent Open Positions: 10 About the Role This is an exciting opportunity to apply your technical expertise while mentoring junior data scientists, influencing technical strategies, and ensuring the highest quality of data-driven decision-making. Key Responsibilities Data Science & Analytics Translate business problems into testable hypotheses and develop proofs of concept. Build and deploy predictive models and machine learning solutions using Python, SQL, and cloud platforms. Use advanced statistical techniques, data mining, and visualization to derive insights from structured and unstructured data. Collaborate with stakeholders to deliver actionable insights and ensure analytical solutions are effectively communicated to both technical and non-technical audiences. Design experiments, conduct hypothesis testing, and create data-driven narratives to support decision-making. Technical Leadership Guide and mentor junior data scientists on best practices, project design, and technical execution. Conduct code reviews, ensure quality documentation, and uphold software development standards (version control, refactoring, collaborative coding). Share emerging trends and best practices in the field to foster team-wide learning. Actively participate in peer learning, technical sessions, and team knowledge-sharing. Project Management Break down complex data science projects into smaller tasks, assign responsibilities, and monitor execution. Balance business impact with execution timelines to deliver pragmatic solutions over theoretical perfection. Create and maintain documentation using standardized frameworks (e.g., CRISP-DM). Required Skills Technical (Must-Have) Advanced proficiency in Python and SQL. Expertise in Probability & Statistics, hypothesis testing, and predictive modeling. Solid hands-on experience with Machine Learning (regression, classification, clustering, etc.). Strong data visualization skills with tools like Tableau, Power BI, and libraries such as matplotlib, seaborn. Experience with cloud platforms (Azure, AWS, or GCP) and modern development tools. Non-Technical (Must-Have) Strong communication skills: Ability to present technical findings to non-technical stakeholders. Project planning, risk management, and delivery tracking experience. Leadership qualities: Mentorship, peer collaboration, and driving process improvements. Excellent written communication for documenting scientific approaches and writing whitepapers. Preferred Skills (Good to Have) Advanced Technical Skills Expertise in areas like NLP, Deep Learning, Reinforcement Learning, Graph ML, or Time Series Forecasting. Hands-on deployment experience using MLOps tools and advanced cloud-native services. Solutioning Acumen Ability to break down complex business challenges and match them with the most effective technical solutions. What Makes You a Great Fit You are a problem solver with a deep understanding of machine learning applications. You thrive in a collaborative environment and excel at mentoring others while growing your own skills. You are motivated by impact and have the ability to translate raw data into strategic insights. Perks & Benefits Opportunity to work on cutting-edge, enterprise-scale problems. Be a part of a collaborative, intellectually curious team. Mentorship and career development support. Access to advanced tools, resources, and cloud technologies.

Assistant Manager - Experience Location: Bangalore, Karnataka | Fulfilment & Experience About the Team As a part of the Fulfillment and Experience (F&E) team at Meesho, you will be at the forefront of using data to drive exceptional experiences for our Suppliers and Users. Our team is pivotal in solving complex, industry-defining problems at scale, making an impact on overall Supplier & User experience. About the Role In this role, you will primarily focus on leveraging data analytics to enhance user experiences across our platform. You will identify key challenges, devise data-driven solutions, and lead the implementation of these strategies to improve operational and experience metrics and work closely with multiple Stakeholders. You will be leveraging data to share the insights on next steps to achieve long term & short term vision. What you will do: Problem Identification & Prioritization: Analyze large datasets to identify trends, patterns, and outliers that drive actionable insights for improving customer and seller experiences. Instrumentation Dashboard: Implement alert systems within dashboards to notify stakeholders of critical issues or emerging trends that require immediate attention. Solution Discovery: Own the responsibility for designing and implementing programs aimed at enhancing user experience metrics like Net Promoter Score (NPS) and other operational metrics. Adoption & Metrics: Define product metrics for your area, and track them continuously. Identify usage patterns and come up with action plans to move metrics in the right direction. Roadmap Creation: Create a product roadmap for your area that has at least a 3-month forward-looking view of key customer/business problems to be solved. What you will need: B.Tech degree from a Premium college. 2 - 4 years of experience, preferably in Strategy & Operations/Management Consulting with a strong analytical focus. Proficiency in SQL for querying relational databases and manipulating large datasets. Hands-on experience with BI and data visualization tools (e.g., Tableau, Power BI, Looker) to create interactive dashboards and reports. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Excellent communication skills with the ability to translate complex data findings into actionable insights and recommendations. About Us Welcome to Meesho, where every story begins with a spark of inspiration and a dash of entrepreneurial spirit. We're not just a platform; we're your partner in turning dreams into realities. Curious about life at Meesho? Our people have a lot to say and they've made us the top-rated e-commerce workplace on Glassdoor. Our Mission Democratising internet commerce for everyone- Meesho (Meri shop) started with a single idea in mind -to be an e-commerce destination for the next billion Indian consumers and enable 100 million small businesses to succeed online. We provide sellers with a range of industry-first benefits such as zero commission and the lowest shipping cost. Over 1.75 million sellers are registered on Meesho, growing their business by tapping the company s massive customer base, state-of-the-art tech infrastructure, pan-India logistics at the lowest cost through third-party logistics providers in an 'Everyday Lowest Cost' channel for sellers. Affordable, relatable merchandise mirroring local markets has helped us make inroads with first-time internet users in the country. We cater to an underserved and unique customer base and cover every serviceable pincode in the country. Our unique business model and continuous innovation has enabled us to become the first Indian horizontal E-commerce company. Culture and Total Rewards Our focus is on cultivating a dynamic workplace characterized by high impact and performance excellence. We prioritize a people-centric culture, dedicated to hiring and developing exceptional talent. Total rewards at Meesho comprises of a comprehensive set of elements - monetary, non-monetary, tangible and intangible in nature. Our 11 guiding principles, or "Mantras," are the backbone of how we operate - influencing everything from recognition and evaluation to growth discussions. Daily rituals & processes like Reflections , Listen or Die , Internal Mobility Program, Talent Reviews, Continuous Performance Management - all embody these principles. We provide market leading compensation - both cash and equity-based - specific to job roles, individual experience and skill along with our employee centric benefits and work environment. We focus extensively on holistic wellness - through our MeeCare Program - encompassing benefits and policies across physical, mental, financial, and social wellness aspects. This includes extensive medical insurance benefits for employees and their families, wellness initiatives like telehealth, wellness events, and gym & recreational discounts etc. To support work-life balance, we provide generous leave policies, parental support benefits, retirement benefits, and learning and development assistance. Through gratitude for stretched work, personalized gifts, engagement & fun at work - we promote employee delight at the workplace. Many other benefits such as salary advance support, relocation assistance, and flexible benefits plans further enrich the Meesho employee experience. Qualification : B.Tech degree from a Premium college.

Position: Data Integration Developer Talend Location: Bangalore Employment Type: Full-time Experience Required: 4 to 7 years Overview: We are seeking a Data Integration Developer with strong expertise in Talend to join our growing data engineering team. This role is ideal for professionals who are passionate about designing and building robust, scalable ETL/ELT pipelines and integrating enterprise data across cloud and on-premise platforms. You will work closely with data architects, business analysts, and reporting teams to support data transformation, integration, and analytics efforts. Key Responsibilities: ETL/ELT Solutions Development: Design, develop, and deploy scalable ETL/ELT processes using Talend Data Integration (on-prem and cloud). Data Transformation & Integration: Implement data transformation using stored procedures and other data processing techniques. Report Development Support: Collaborate with reporting teams to support dashboard/report creation using tools like MicroStrategy and Power BI. Documentation & Data Governance: Create detailed pipeline documentation, configurations, and data workflows. Performance Optimization: Monitor pipeline performance, identify bottlenecks, and troubleshoot data integration issues. Essential Skills: Hands-on experience with Talend Suite (Talend Data Integration, Talend Cloud) Experience with Snowflake and writing Stored Procedures Knowledge of ETL/ELT design, data warehousing, and data modeling Familiarity with JSON, XML, CSV data formats Experience with data quality frameworks and job monitoring/scheduling tools Proficiency in Agile methodology and tools like JIRA Desirable Skills: Experience with reporting tools such as MicroStrategy and Power BI Skills in scripting languages: Python, Java, or Shell Understanding of cloud platforms (AWS, GCP, Azure) and related data services Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field Minimum of 3+ years of Talend development experience Qualities We Value: Strong verbal and written communication skills Experience in Agile and cross-functional team environments Problem-solving mindset and ability to work under minimal supervision Quick learner with a passion for data and process improvement Work with modern cloud data integration and enterprise tools Collaborate with global clients and expert teams Be part of cutting-edge data platform transformation initiatives Apply today and be part of our mission to deliver next-gen, data-driven insights. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

Position: Talend Data Engineer Location: Bangalore, India Employment Type: Full-time Experience Required: 4 to 9 years Purpose of the Position: As a Talend Data Engineer, you will be responsible for designing, developing, and managing scalable ETL/ELT data pipelines both on-premise and in the cloud. You will work with technologies such as Talend Suite, Snowflake, and reporting tools to support high-impact data integration and business intelligence initiatives. Key Responsibilities: ETL/ELT Development: Design, develop, and deploy ETL/ELT workflows using Talend Data Integration and Talend Cloud. Data Transformation: Apply stored procedures for accurate and structured data processing. Reporting: Build reports using MicroStrategy and Power BI to support decision-making. Documentation: Maintain detailed documentation for pipelines, configurations, and processes to ensure data integrity and quality. Performance Monitoring: Monitor and optimize data pipelines, resolving data-related issues swiftly. Essential Skills: Hands-on experience with Talend Suite (Talend Data Integration, Talend Cloud). Strong skills in Snowflake and writing Stored Procedures. Expertise in ETL/ELT processes, data warehousing, and data modeling. Familiarity with data quality frameworks and job scheduling tools. Proficient in handling data formats like JSON, XML, CSV, and Parquet. Knowledge of Agile methodologies and tools such as JIRA. Desirable Skills: Experience with BI tools like MicroStrategy and Power BI. Proficiency in scripting languages such as Python, Java, or Shell scripting. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and cloud-based data services. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 6+ years of relevant experience with Talend and data engineering projects. Key Qualities: Strong consulting, writing, and presentation skills. Self-organized and collaborative in cross-functional teams. Open to feedback and iterative improvement. Effective communicator with clients across geographies. Analytical mindset with a research-oriented approach. Apply now and become part of a high-performing team delivering scalable data solutions across industries! Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Job Title: Software Developer Location: Bengaluru, India Company: IBM Consulting Introduction A career in IBM Consulting is built on long-term relationships and close collaboration with clients across the globe. As a part of our team, you will work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative companies in the world. Your ability to accelerate impact and drive meaningful change for clients is enabled by our strategic partner ecosystem and robust technology platforms across the IBM portfolio. In this role, you ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we offer deep technical expertise to public and private sector clients worldwide. Our centers provide locally based skills and technical expertise, driving innovation and adoption of cutting-edge technology. Role and Responsibilities As a Software Developer, you will be a key part of the software development lifecycle, participating in design, code implementation, testing, and ongoing support. Your efforts will contribute to creating solutions that accelerate your clients' hybrid cloud and AI journeys. Your primary responsibilities include: Proficient Software Development with Microsoft Technologies: Demonstrate your expertise in Microsoft technologies, delivering high-quality code and ensuring efficient application performance. Collaborative Problem-Solving and Stakeholder Engagement: Work closely with stakeholders to understand product requirements, proactively addressing challenges with innovative software solutions. Agile Learning and Technology Integration: Stay updated with the latest Microsoft technologies, continuously learning and integrating new knowledge to improve development processes and product features. Required Education Bachelor s Degree in Computer Science or a related field. Preferred Education Master s Degree in Computer Science or a related field (preferred but not required). Required Technical and Professional Expertise Microsoft Power Platform Expertise: Drive Power Platform implementations through all project phases, including discovery, definition, build, testing, and deployment. Experience with Microsoft Power Platform: 3 to 4 years of experience designing Power Platform implementations using best practices and governance standards. Hands-on Experience with Power Platform Suite: Expertise in using the Microsoft Power Platform suite (Power Apps, Power BI, Power Pages, Power Automate, Virtual Agents, AI Builder in Power Apps), and extending/customizing Microsoft apps and services like Teams, Dynamics 365, Excel, and Word. Custom Business Apps Development: Experience designing and developing custom business apps such as Canvas Apps, SharePoint Form Apps, Model Driven Apps, and Power Pages. Microsoft Dataverse Expertise: Hands-on experience working with Microsoft Dataverse to manage and store data for apps built on the Power Platform. Preferred Technical and Professional Experience Advanced Microsoft Power Platform Suite Experience: Extensive experience with the full Microsoft Power Platform suite (Power Apps, Power BI, Power Automate, Virtual Agents, AI Builder) to design, develop, and deploy solutions. Custom App Development Expertise: Additional experience in designing and developing custom apps for business processes, extending Microsoft services and integrating new business functionalities. Data Integration and Management: Proficient in utilizing Microsoft Dataverse for data management and integration within business applications. About IBM Consulting IBM Consulting is a global leader in business and technology transformation, offering innovative services across strategy, experience, technology, and operations. With deep industry expertise, we partner with the most valuable companies in the world to help them evolve and drive growth. At IBM Consulting, we believe in the responsible use of technology to help people, partners, and the planet. Qualification : Masters Degree in Computer Science or a related field (preferred but not required).

Job Description You are a strategic thinker passionate about driving solutions in Analytics Solutions. You have found the right team. As an Analytics Solutions Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. You will be responsible for the design, implementation and execution of end-to-end processes supporting U.S. Regulatory Reporting including Consolidated, Capital, Standalone and CCAR/DFAST reporting, regulatory reporting training and exam management. Additionally, FRRA drives broader strategic initiatives across external reporting including accountability, error and issue management, manual adjustments, variance analysis, quality assurance and the target U.S. Regulatory Reporting platform. The FRRA Innovation team sits within FRRA and is responsible for leading the development and implementation of Business Intelligence, Data Analytics and Intelligent automation solutions, identifying and delivering process automation and technology innovation, supporting the reporting production close, and helping to define and design multi-year business infrastructure strategy. Job Responsibilities Implement process automation solutions across the business using Business Intelligence tools. Drive process discovery through partnerships with key stakeholders in the business. Follow established project lifecycle from end to end to deliver timely, efficient, and fit-for-purpose solutions. Engage partners such as FRRA process owners, Center of Excellence teams, and Control partners through established forums. Assist with various aspects of project management including development of project plans, task management, design, testing scenarios and analysis, implementation, and procedural / operating model documentation. Collaborate with system / data owners and business project teams to improve overall data quality and implement tactical solutions to automate repetitive, manual data clean-up and aggregation work. Develop expertise in existing and future strategic data source systems to streamline and improve information content, transparency, and delivery. Communicate summary of analysis and findings thoroughly and succinctly (summary of facts, data sources, analyses performed, conclusions, and recommendations) to various stakeholders, including executive leadership and participate/lead Innovation forums. Stay up-to-date with industry trends and best practices in process automation, analytics, and innovation. Required Qualifications, Capabilities, and Skills Minimum 3 years experience in design and delivery of analytics, reporting and process automation solutions. Advanced data transformation skills using Alteryx and/or Python. Experience with data visualization tools (e.g., Tableau, Power BI) and analytics platforms. Strong project management skills with the ability to manage multiple projects simultaneously. Good analytical and presentation skills. Willingness to learn and adopt new cutting edge technologies, toolsets and techniques. Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams. Preferred Qualifications, Capabilities, and Skills Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field. Finance experience a plus. Certifications in process automation or data analytics. Knowledge of SQL and/or RPA tools like UIPath. Experience with process review, discovery and reengineering. Understanding of workflow automation tools such as Pega or ServiceNow. Experience in a similar role within a fast-paced, innovative environment. About Us JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. Qualification : Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field. Finance experience a plus.

Job Title: Business Intelligence (BI) Lead Life Sciences Sector About the Role: As the BI Lead, you will spearhead and develop Business Intelligence (BI) projects within the team, focusing on constructing an analytical data layer, developing custom BI reporting solutions, monitoring platform performance, and enabling self-serve reporting for Regional Business Units (RBU) and Global Business Units (GBU). Your primary responsibility is to deliver high-quality contributions to client projects in the life sciences sector. These tasks will range from basic analysis and problem-solving to assisting in the creation of more complex solutions. You ll demonstrate a comprehensive understanding of pharmaceutical data assets, including IQVIA, CRM, and MCM data, as well as country-specific variations. Key duties include training and upskilling Business Units (BUs) to use the self-serve layer effectively for report and dashboard creation, assessing data requirements for decision-making, and ensuring data accuracy. You ll work closely with engineering and data platform teams to improve data availability and reliability, while collaborating on client proposals and solution strategies. Additionally, you will contribute to documentation and specifications, design presentations, and actively engage in the consulting methodologies and life sciences market to continuously grow your knowledge. Key Responsibilities: Lead BI projects, including building and maintaining an analytical data layer, and developing BI solutions for reporting and visualization. Deliver high-quality, timely contributions to life sciences client projects, ranging from basic analysis to complex solutions. Utilize pharmaceutical data assets (IQVIA, CRM, MCM) and understand regional data variations. Train Business Units (BUs) to efficiently use the self-serve reporting layer for creating reports and dashboards. Assess data requirements, identify suitable data sources, ensure data accuracy, and perform necessary transformations for decision-making. Establish and track business metrics, and perform in-depth process analysis to identify areas for improvement. Collaborate with engineering and data platform teams to enhance data availability and reliability. Review and analyze client requirements, contribute to proposal development, and create tailored client solutions. Create detailed documentation, including specifications and quantitative/qualitative analyses. Present client deliverables within established frameworks, adapting presentations to audience needs. Stay engaged in consulting methodologies, life sciences market trends, and professional development opportunities. Manage project-based responsibilities under the guidance of senior consultants and directors. Desired Candidate Profile: Proficiency in SQL and BI platforms, particularly Power BI (Spotfire knowledge is a plus). Extensive experience with data transformation/ETL, data modeling, and a strong understanding of data platforms and ETL processes. Hands-on experience with Power BI, including the creation of reports, dashboards, and visualizations, and experience in environments such as Salesforce, Snowflake, or Azure. Skilled in migrating SSRS reports/Tabular reports to Power BI Paginated Reports. Advanced knowledge of Power Query M and experience building sophisticated DAX queries. Experience implementing static and dynamic Row Level Security, along with extensive knowledge in dataset design, data cleansing, and aggregation. Understanding of relational database structures, principles, and practices. Solid SQL skills, including the ability to write complex queries and create SQL views for custom datasets. Strong proficiency in Excel, PowerPoint, and Access, with VBA knowledge considered a plus. Proven ability to build relationships with multiple stakeholders (BI engineers, Data Engineers, Consulting teams, Product Managers). Familiarity with Software Development Life Cycle (SDLC) and Agile methodologies. Experience with technical project execution, including proposal writing, creating BRD, PDD, SDD, and user documentation. Excellent verbal and written communication skills. Previous experience in application or implementation support is required. Strong problem-solving skills and a macro-level approach to research and analytics. Good to Have: Experience with other BI technologies (e.g., Tableau, Looker Studio, ThoughtSpot). Knowledge of Python/R. Experience with Microsoft Power Platform tools (e.g., PowerApps, Power Automate). Hands-on experience with Canvas App Configuration, Canvas App Functions, Power Portals, Power Automate Desktop, and custom connectors. Familiarity with Azure services, AI builder, Virtual Agents, and SharePoint list customization. Microsoft Power Platform certification is a plus. Qualifications: Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. 6-8 years of relevant experience. Demonstrated collaborative approach, working effectively across teams to achieve objectives. Knowledge of core business processes and their impact on decision-making and growth. Familiarity with consulting methodologies, tools, and techniques. Up-to-date with current industry trends and insights into competitors and marketplace dynamics. Proficiency in time management, Scrum methodologies, and agile working practices. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field.

Job/Position Summary: Data Engineer Responsibilities: Implement data pipelines that meet design and are efficient, scalable, and maintainable. Implement best practices including proper use of source control, participation in code reviews, data validation and testing. Timely deliveries while working on projects. Act as advisor/mentor and helps junior data engineers in their deliverables. Must Have Skills: Should have experience of at least 4+ years with Data Engineering. Strong experience of design, implementation and fine-tuning big data processing pipelines in production environment. Experience with big tools like Hadoop, Spark, Kafka, Hive, Databricks. Experience in programming at least one of with Python, Java, Scala, Shell Script. Experience with relational SQL and NO SQL databases like PostgresSQL, MYSQL, Cassandra etc. Experience with any data visualization tool (Plotly, Tableau, Power BI, Google Data Studio, Quick sight etc.). Good To Have Skills: Should have Basic Knowledge of CI/CD Pipeline. Experience in working on at least one Cloud (AWS or Azure or GCP). For AWS: - Experience with AWS Cloud services like EC2, S3, EMR, RDS, Athena, Glue, Lambda, EMR. For Azure: -Experience with Azure Cloud services like Azure Blob/Data Lake GEN2, Delta Lake, Databricks, Azure SQL, Azure DevOps, Azure Data Factory, Power BI. For GCP: - Experience with GCP Cloud services Big Query, Cloud Storage bucket, DataProc, Dataflow, Pub Sub, Cloud Function, Data Studio. Sound familiarity in Versioning tools (Git, SVN etc.). Experience Mentoring students is desirable. Knowledge of latest developments in Machine Learning, Deep Learning, Optimization in Automotive domain. Open minded approach to explore multiple algorithms to design optimal solution. History of contribution to articles/blogs/whitepapers etc. in Analytics. History of contribution to Open Source. Requirement: ESSENTIAL SKILLS /COMPETENCIES Data Engineering Hadoop Kafka CI/CD Cloud

Job Title: Sr. Data Engineer Job Overview: We are seeking an experienced Technical Data Engineer / ELT Developer with expertise in Snowflake to manage data ingestion and transformation. The ideal candidate will work with an offshore team to deliver scalable data solutions aligned with business and performance requirements. Key Responsibilities: Design, build, and maintain ELT pipelines using Snowflake. Lead offshore development teams in applying data engineering best practices. Collaborate with stakeholders to manage data integration across systems. Optimize data pipelines for performance and reliability, including query tuning and resource management. Implement data validation processes to ensure data accuracy. Document data pipelines, flow diagrams, and transformation logic. Troubleshoot pipeline failures and resolve performance issues. Ensure compliance with data governance and regulatory requirements. Required Qualifications: 5+ years of experience in data engineering with a focus on ELT development. Strong expertise in Snowflake, including data sharing, secure views, and performance optimization. Proficiency in SQL and data integration tools. Experience managing offshore development teams. Strong problem-solving and communication skills. Preferred Qualifications: Snowflake certification or relevant certifications. Experience in financial services with knowledge of data security and compliance. Familiarity with cloud platforms (AWS, Azure) and orchestration tools like Apache Airflow. Experience with Python or JavaScript for data transformation. Knowledge of data visualization tools like Tableau or Power BI.

About GBFS Team: The Global Business and Finance Support (GBFS) team provides operational support to Qualcomm s headquarters and global regional teams, focusing on finance and business operations activities such as sales incentive planning, reporting, forecasting, basic analysis, and deriving insights from key business metrics. This role is designed to offer world-class internal support to sales teams, customer service, and HQ, ensuring seamless operations and helping them overcome business challenges with the help of tools like Salesforce, Tableau, and Power BI. General Summary: As a Business Operations Analyst, you will be responsible for supporting sales performance, forecasting, data analysis, and CRM management. The ideal candidate will possess strong analytical and technical skills, collaborate with cross-functional teams, and have a passion for delivering valuable business insights. Key Responsibilities: Generate detailed sales performance reports and dashboards, providing actionable insights to inform strategic decisions. Prepare accurate sales forecasts and assist with incentive planning. Collaborate with cross-functional teams, such as sales, finance, and IT, to ensure process alignment and operational efficiency. Maintain and optimize the Salesforce CRM system, ensuring data accuracy and supporting sales activities. Support monetization processes and analyze business performance metrics. Conduct transition calls and process reviews with HQ and global regional teams. Document processes, prepare reports, and offer recommendations for process improvement. Flexibly participate in evening calls (8 PM 11 PM IST) or work in shifts (2:30 PM to 11:30 PM) as needed for reviews and global coordination. Perform additional ad hoc business operations activities as required. Minimum Qualifications: 4 6 years of relevant experience in business analysis and operations activities. Strong proficiency in Advanced Excel, Salesforce, and incentive reporting and analysis. Solid understanding of business process monetization. Excellent analytical and problem-solving skills with a conceptual approach to data analysis. Strong communication skills (both verbal and written) and ability to work with global teams. Flexible schedule, with availability for evening calls and HQ reviews. Preferred Qualifications: Experience with tools such as Tableau and Power BI for data visualization and reporting. Educational background in Business Analytics, Business Administration, or related fields from a reputed B-school. Bachelor s degree in Science, Technology, Commerce, or Economics. Diploma in Business Analytics is a plus. Why Join Qualcomm? At Qualcomm, you ll work in a dynamic and innovative environment, collaborate with global teams, and contribute to cutting-edge business operations. We offer: Opportunities for learning and professional growth. Flexible working arrangements and a supportive work culture. The chance to work with some of the brightest minds in the industry. Qualification : Bachelors in science / B Tech / commerce / economics and/or

About Unilever: Unilever is a global leader in sustainability, with over 400 brands like Lipton, Knorr, Dove, and Axe. Through innovation and purpose-led business, Unilever reaches 2.5 billion people every day, improving lives and making a positive impact. Join us, and you'll work alongside inspiring leaders and peers to help shape a better future for our customers, business, and planet. About UniOps: Unilever Operations (UniOps) is Unilever's global technology and operations engine. Offering business services, technology, and enterprise solutions, UniOps serves over 190 locations and ensures seamless, end-to-end delivery for a Purpose Led and Future Fit Unilever. Main Job Purpose: This position is responsible for managing Tax Compliance and Accounting processes for several Latin American countries. You will gain exposure to various Tax and Finance teams and interact with Global Tax Process Excellence teams. Your main responsibilities will cover VAT, WHT, CIT, Transfer Pricing, and Group Tax Reporting. Key Responsibilities: Tax Compliance & Accounting: VAT/WHT Computation: Prepare complex returns for VAT and WHT. CIT Tax Provision: Rule-based calculations for CIT tax provisions, advance tax, and quarterly group reporting. Tax Data Management: Ensure accuracy and hygiene of tax-related master data and transactional data. Tax Payments: Oversee timely tax payments to authorities per country timelines. Tax Reporting: Ensure compliance with tax-related controls and reporting frameworks. Collaboration & Support: Work with Unilever s global tax teams and outsourced service providers to stay updated on tax law changes. Provide data/documentation support for audit queries and country tax audits. Ensure all agreed KPIs are met in the tax process. Continuous Improvement: Drive continuous process improvements and propose best-in-class solutions for direct/indirect taxes. Implement tools and technology for improved process efficiency. Team Leadership: Lead, coach, and develop a team of two tax data specialists. Manage stakeholder relationships across countries. Key Requirements: Technical Skills: Strong understanding of accounting, tax concepts (direct/indirect/withholding taxes, transfer pricing). End-user knowledge of SAP (FI module). Proficiency in Excel, with experience collecting and consolidating data from accounting/ERP systems. Knowledge of Power BI, Tableau, or Workflow management tools is a plus. Experience: 5-6 years of experience in accounting or finance (R2R) and direct/indirect tax. Experience in tax process management, tax compliance, or handling successful transitions to Global Hubs. Soft Skills: Strong verbal and written communication skills. Proactive attitude, problem-solving, and analytical skills. Ability to manage small teams and communicate effectively across various levels. Self-starter with proven ownership of responsibilities. Key Interfaces: Global Tax Team Country Tax and Finance Teams Outsourced Service Providers (Big 4) Central R2R/P2P/O2C Teams IT Teams

Be part of the world s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life giving us a unique opportunity to build a brighter future. Every individual here can bring their purpose to life through their work. Join us and you ll be surrounded by inspiring leaders and supportive peers. Among them, you ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we ll work to help you become a better you. ABOUT UNIOPS: Unilever Operations (UniOps) is the global technology and operations engine of Unilever offering business services, technology, and enterprise solutions. UniOps serves over 190 locations and through a network of specialized service lines and partners delivers insights and innovations, user experiences and end-to-end seamless delivery making Unilever Purpose Led and Future Fit. Background: UniOps Tax Data Centre of Excellence team in Unilever is responsible for collection, analysis of tax and finance data and performing / supporting tax compliance, tax, tax reporting and tax audit. in the areas related to direct tax, indirect tax, withholding tax and transfer pricing. The team is also responsible for monitoring the tax control framework and co-development of tax related technology infrastructure along with IT team and maintaining Global Process Model (GPM) and exceptions resolution for tax related issues Main purpose of job: The Global Tax function has launched the Future of Tax (FOT) transformation project under the Digital Finance umbrella. As part of the Future of Tax project, compliance work related to direct tax, indirect tax, withholding tax and transfer pricing which will be done by Business and Supplier Operations Team, under a new target Operating Model (TOM). The new TOM will involve tax process to be performed across Global Tax team, Country Tax Team, UniOps and 3rd party consultant (Big 4s). The UniOps team is envisioned to be the central tax data organization with the responsibility to deliver good quality data. The team has to manage tax data in order to improve the efficiency of the tax operations in a cost-effective manner. UniOps vision is to build an externally benchmarked, world class Tax Data COE which delivers End to End high-quality, accurate financial information for effective decision making and meeting regulatory requirements. Guiding Principles for project success Drive value by freeing up space within Tax (through effective partnering) to focus on strategy Global, standardized, simplified and efficient tax process model Flexible, agile and Future Fit sustainable operations Ownership mindset with passion for high performance Key Requirements of the Role: Collecting / querying / consolidating information from accounting / ERP systems (SAP) Managing financial data with focus on hygiene of master data and transactional data Reconciliation and analysis of data Check sample high value documents checks on tax data being extracted. Check for accuracy and allowance of expenses for tax deduction Monthly/quarterly calculation of VAT and preparation of VAT returns for various countries across the globe Annual preparation of Corporate Income Tax packs of various countries across the globe Post tax related entries in the books of accounts, after sign off from country tax team Ensure tax related payments happen to government / tax authorities as per the timelines in respective countries. Ensure tax related controls and compliance are met as per the Unilever control framework Prepare and maintain detailed documentation/files on monthly basis related to direct tax reporting. Provide documentation / data support on the audit queries raised with analysis performed. Archiving of documents of all the direct tax related activities from data extraction till filings in company dedicated folders as per ITGC & audit requirements. Technical Skills Good Accounting Knowledge (Record to Report) Overview of Direct/Indirect Tax Fully conversant with SAP (FI Module) Awareness of Power BI, Tableau and Workflow management tools would be an added advantage. Successful transition of Record to Report or other finance activities to a Global Hub Soft skills: Good in verbal and written communications. Should have a positive attitude and should be able to proactively get things done Strong problem solving, and analytical skills Good interpersonal Skills - Must have the ability to effectively communicate with personnel at all levels inside and outside of the company. Must be a self-starter with proven ability to take ownership of job responsibilities. Educational Qualification and Experience Semi qualified CA/ICWAI/Masters Degree in Accounting with 2-3- years of experience Work experience in Accounting and Finance Key interfaces Global Tax Team Country Tax Team Country Finance Team Outsourced Service Provide (Big 4)) Qualification : Semi qualified CA/ICWAI/Masters Degree in Accounting with 2-3- years of experience

Main Purpose of the Job: The role is key to the Future of Tax transformation project, with a focus on direct tax, indirect tax, withholding tax, and transfer pricing. You will manage tax data, support tax compliance and reporting, ensure the tax control framework is met, and work closely with both global tax teams and external service providers. You'll also drive process improvements and efficiencies, helping Unilever meet regulatory requirements and business objectives. Key Responsibilities: Tax Compliance & Reporting: Compute VAT and WHT, prepare returns for complex countries. Rule-based calculations for CIT tax provision, advance tax, and quarterly reporting. Manage end-to-end tax data, ensuring the accuracy of master and transactional data. Identify discrepancies in tax data and analyze trends. Tax Payments & Controls: Ensure timely tax payments to authorities in line with local regulations. Meet tax-related controls and compliance standards as per Unilever s framework. Collaboration & Support: Work with Global Tax Teams and third-party providers on changes in tax laws and regulations. Provide documentation and data support for audit queries. Archive direct tax-related documents in accordance with ITGC and audit requirements. Provide data clarifications to relevant stakeholders and support tax audits. Continuous Improvement: Recommend best practices for tax processes and suggest improvements to enhance efficiencies. Implement tools and technologies to drive process improvements. Team Leadership: Lead, coach, and develop a team of two tax data specialists. Manage stakeholders across different countries to ensure process alignment. Key Skills and Requirements: Technical Skills: Strong knowledge of accounting, direct/indirect taxes, withholding tax, and transfer pricing. Proficient in SAP (FI module) and Excel. Experience in consolidating information from accounting/ERP systems. Familiarity with Power BI, Tableau, and workflow management tools is a plus. Experience: Qualified accountant with 5-6 years of experience in Accounting (R2R) and/or Direct/Indirect Tax. Experience in tax compliance and reporting, tax audits, and managing large-scale tax data. Experience transitioning activities to a global hub will be an advantage. Soft Skills: Excellent communication skills, both verbal and written. Proactive, solution-oriented, and capable of driving tasks to completion. Strong problem-solving and analytical skills. Ability to lead small teams and manage relationships across various business functions. Self-starter with proven ownership and accountability. Educational Qualifications: Qualified Accountant (CA, CPA, or equivalent) with 5-6 years of relevant experience. Key Interfaces: Global Tax Team Country Tax Team Country Finance Team Outsourced Service Providers (Big 4) Central R2R/P2P/O2C Teams IT Teams