Strategic Insights Jobs in Bengaluru

Business Finance Location: Bengaluru Department: Finance Employment Type: Full-Time About Dozee Dozee Health AI is a pioneer in AI-powered, contactless Remote Patient Monitoring (RPM) and Early Warning Systems (EWS). Headquartered in Bengaluru, Dozee is India s #1 RPM company, transforming healthcare delivery at scale. Trusted by leading healthcare providers across India, the USA, and Africa, Dozee s solutions continuously monitor patients, detect early signs of clinical deterioration, and enable timely interventions. Role Overview We are looking for a high-impact Business Finance professional to partner closely with business leaders and drive financial discipline, strategic decision-making, and sustainable growth. This role offers a unique opportunity to work at the intersection of finance, strategy, and healthcare innovation in a fast-growing AI health-tech company. Key Responsibilities Business Partnership & Strategic Decision Support Partner with Sales, Operations, and cross-functional teams to drive commercial success and financial discipline. Lead pricing strategy, customer-level profitability analysis, and financial modelling for new products and services. Evaluate business cases for expansion, partnerships, and large strategic deals. Participate in strategic discussions, providing financial insights and risk assessment. FP&A, Budgeting & Reporting Lead the annual operating plan and rolling forecasts in collaboration with functional leaders. Track performance against budgets, prepare variance analysis, and identify risks. Own monthly and quarterly management reporting, including key financial and operational KPIs. Revenue & Cost Optimisation Monitor and improve gross margins, unit economics, and CAC/LTV metrics. Drive initiatives to optimize costs, improve working capital, and support EBITDA targets. Identify opportunities for automation and process improvements in tracking. Requirements Experience & Qualifications 2 4 years of relevant experience in Business Finance, FP&A, or Commercial Finance. CA (Qualified/Semi-qualified), MBA, or CFA preferred. Skills Strong analytical, financial modelling, and stakeholder management skills. Proficiency in Excel, Google Sheets, and BI tools. Experience with pricing and margin analysis in a SaaS or recurring revenue environment is a plus. Personal Attributes Business-oriented, proactive, and detail-focused. Comfortable working in a fast-paced, evolving environment. Why Join Dozee Be part of a mission-driven company transforming healthcare with AI. Opportunity to influence strategic decisions in a high-growth Series A+ organization. Collaborative culture with a strong focus on innovation and impact. Qualification : CA (Qualified/Semi-qualified), MBA, or CFA preferred

Revenue Operations Analyst Location: Bangalore About Us FalconX is transforming institutional access to the digital asset markets by bridging the gap between traditional finance and the world of crypto. As a leader in the industry, we address the most pressing challenges in the market, offering innovative solutions that support trading strategies, liquidity, and structures akin to conventional financial markets. At FalconX, we empower our clients with seamless navigation through the evolving crypto landscape, from inception to scale. Role Overview We re looking for a dynamic Revenue Operations Analyst to join our growing team and help elevate the Revenue Operations (RevOps) function at FalconX. In the past year, our RevOps capabilities have matured significantly, with solidified processes in reporting, operational support, and actionable business insights. We re now at a pivotal moment where we need to scale these efforts further to provide strategic insights, improve operational efficiency, and support cross-functional projects. As a key member of the team, your role will focus on managing core revenue operations tasks while also driving value-added projects that impact the business. You ll be a crucial enabler, supporting both the foundational work in RevOps and the new, high-impact initiatives the business requires. Additionally, you ll play an important role in managing inbound lead qualifications, ensuring seamless handoff to the Sales team. Key Responsibilities Data-Driven Insights & Reporting: Leverage your analytical skills to support and manage critical reports and insights for the business, including: QBR decks and quarterly reviews Board material and leadership presentations Ad-hoc reporting for various stakeholders Core Operational Support: Collaborate with cross-functional teams to maintain and deliver essential operational support for the Revenue function. Key tasks include: Account split and territory management Validating account coverage and tiering Ensuring accurate parent-child mapping and reporting regions Pipeline management and data validation Lead Qualification & Inbound Lead Management: Manage inbound leads from web inquiries, qualify them based on defined criteria, and facilitate the smooth handoff to the Sales team. This involves: Contacting leads to assess their potential Coordinating with Sales for follow-up and feedback Tracking lead conversion metrics and identifying opportunities for process improvement Collaboration & Performance Tracking: Work closely with the Sales team to ensure lead response and qualification processes are streamlined. Track and report on key performance indicators (KPIs) such as: Call volume and outcomes Lead conversion rates CRM system usage and data accuracy Qualifications Bachelor s degree (or equivalent experience) 1-3 years of experience, ideally in a Revenue Operations, Sales Operations, or related role Strong analytical skills, with the ability to extract insights and drive business decisions from data High attention to detail and data accuracy Experience with CRM tools (e.g., Salesforce, HubSpot), BI tools, and basic coding skills (for manipulating data in BI tools) Proficiency in Google Sheets, Excel, or similar tools for data management Excellent written and verbal communication skills Preferred Qualifications Experience in the cryptocurrency or blockchain industry Familiarity with financial services or brokerage operations Ability to generate strategic insights on how financial services firms can expand their offerings and improve client servicing The opportunity to be part of a cutting-edge company at the intersection of finance and technology A collaborative, fast-paced environment with the chance to make an immediate impact Professional growth and development in a rapidly evolving industry Competitive salary and benefits package Qualification : Bachelors degree (or equivalent experience)

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.

Position: Data Analyst 3 Location: Bengaluru Department: Growth & Strategy Employment Type: Full-Time Job Description: We are seeking an experienced Data Analyst to develop and maintain interactive dashboards, design data models, and extract actionable insights to support strategic business decisions. This role requires proficiency in Tableau and/or Qlik Sense and the ability to lead a team of analysts. Key Responsibilities: Develop, maintain, and enhance interactive dashboards and reports using Tableau and/or Qlik Sense. Design and implement efficient data models to underpin visualizations and analytical processes. Analyze data from multiple sources to identify trends, patterns, and actionable insights. Write scripts and utilize calculated fields to transform and manipulate data within visualization platforms. Migrate dashboards between platforms (e.g., Qlik Sense to Tableau) as needed. Adhere to best practices in data visualization, dashboard design, and data modeling. Communicate findings effectively to stakeholders and collaborate with cross-functional teams such as sales, marketing, and engineering. Mentor and lead a team of data analysts, fostering growth and knowledge sharing. Required Skills and Experience: Minimum 4 years of relevant experience in data analysis and visualization. Proficiency in Tableau and/or Qlik Sense, including scripting and calculated fields. Strong data modeling skills and experience with relational databases (e.g., SQL Server, Oracle). Excellent analytical and problem-solving abilities. Outstanding communication and presentation skills. Industry experience in Fintech, Payments, Finance, Banking, Digital Commerce, Healthcare, or related sectors is a plus. Who You Are: A problem-solver with a knack for uncovering insights from complex data sets. An excellent communicator, able to explain data-driven insights clearly and effectively. Hands-on and proactive, committed to staying updated with the latest tools and technologies. A respected team player and leader known for your analytical depth and influence.

Job Title: Analyst / Senior Analyst Market Research Location: Bangalore Employment Type: Full-Time Job Overview We are seeking intellectually curious and detail-oriented professionals to join our high-performing Sector Research team. In this role, you will conduct deep-dive research into global technology sectors, track emerging startups, and provide insightful analysis to support data-driven investment decisions. This is an ideal opportunity for individuals passionate about startups, market trends, and competitive intelligence. Key Responsibilities Conduct comprehensive secondary research on global startups and emerging markets such as eCommerce, FinTech, HealthTech, SaaS, Robotics, and Enterprise Applications. Monitor investment trends, technological advancements, and the performance of key industry players. Develop sector-specific reports, landscapes, and strategic insights based on data-driven analysis. Identify, evaluate, and categorize high-potential startups worldwide. Become a subject matter expert in your assigned sector through continuous learning and research. Ideal Candidate Profile Graduates from top-tier institutes (IITs, NITs, BITS, IIMs) preferred. 0 3 years of experience in research, consulting, analytics, or strategy roles. Exceptional freshers with relevant internships are encouraged to apply. Strong interest in startups, venture capital, and sectoral market dynamics. Excellent analytical thinking, with outstanding written and verbal communication skills. Self-motivated, structured, and comfortable working independently in a fast-paced environment. What You Can Expect at Tracxn A meritocracy-driven, transparent, and collaborative culture free from internal politics. Exposure to like-minded, intellectually curious peers and continuous mentoring. Hands-on experience in building scalable, high-accuracy research processes. Fast-tracked learning and career growth with a clear performance-based progression path. Opportunities to make a meaningful impact from day one. Qualification : Graduates from top-tier institutes (IITs, NITs, BITS, IIMs) preferred

Job Title: Data Quality Analyst Location: Bangalore Employment Type: Full-Time About the Role We are seeking a detail-oriented and analytical Data Quality Analyst to join our dynamic Data Desk team. In this role, you will be responsible for maintaining the accuracy, consistency, and reliability of in-house reports, fulfilling client data requests, and conducting external research to support outreach and media engagement efforts. The ideal candidate will be highly organized, process-driven, and passionate about working with data in a fast-paced environment. Key Responsibilities Quality Control of In-House Reports Review and verify internal reports for accuracy, completeness, and consistency. Identify and correct data errors or inconsistencies. Maintain and update quality control documentation and SOPs. Serve Client Data Requests Understand and interpret data-related queries and requirements from clients. Compile, format, and deliver high-quality, client-ready data in a timely manner. Conduct final QC checks before data delivery to ensure reliability and precision. External Research Conduct secondary research to support outreach efforts, including partnerships with journalists and media houses. Analyze market trends, industry data, and other external information sources. Translate research into actionable insights that inform strategic outreach and content development. Who Should Apply 2 4 years of experience in data analysis, quality control, or research-related roles. Strong interest in the startup ecosystem, venture capital, and emerging tech trends. Ability to perform structured secondary research and market analysis. High attention to detail with a process-oriented mindset. Strong analytical thinking and written communication skills. Ability to work independently and manage multiple tasks effectively. Open to continuous learning and feedback, with a growth mindset. A meritocratic environment where decisions are transparent and data-backed. A candid and collaborative culture that values curiosity and encourages questioning. Supportive managers who are invested in your growth and development. Opportunities to build and refine systems that have a meaningful impact.

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 - 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.

Position: Finance Controller Location: Bangalore Experience: 8-10 years Company Overview: Our vision is to be the leading EdTech company transforming engineering education across India. We aim to provide every engineering student access to holistic, industry-relevant education that boosts skills and employability. Through innovation, we bridge the gap between academia and industry, shaping highly skilled professionals to contribute to national development. Position Overview: We are looking for an experienced Finance Controller to lead and oversee the financial operations of our fast-growing EdTech company. This role involves managing corporate accounting, regulatory and financial reporting, budgeting, forecasting, and developing internal controls. You will provide financial insights and business analytics to support strategic decision-making and drive organizational growth. Key Responsibilities: Financial Management: Oversee all financial operations: accounting, budgeting, forecasting, cash flow, and reporting. Ensure accurate financial statements in compliance with GAAP/IFRS and regulatory requirements. Prepare and present monthly, quarterly, and annual financial reports to senior management and stakeholders. Monitor cash flow, working capital, and capital expenditures. Budgeting & Forecasting: Lead the annual budgeting process with department collaboration. Prepare rolling forecasts and variance analyses; highlight trends and insights for leadership. Conduct financial planning and analysis to support business growth and operational efficiencies. Internal Controls & Compliance: Develop and monitor financial policies, procedures, and controls to safeguard assets and ensure compliance. Coordinate internal and external audits for timely and accurate completion. Ensure adherence to tax laws, statutory reporting, and financial regulations. Strategic Business Partnering: Collaborate with executives to provide financial guidance and insights supporting strategic initiatives. Analyze business drivers, operational trends, and market conditions to deliver actionable insights. Support fundraising, M&A, and investment decision-making processes. Team Leadership: Manage and mentor the finance and accounting team, promoting a collaborative and performance-driven culture. Drive continuous improvements in financial processes, reporting, and team skills development. Qualifications: Education: Bachelor s degree in Accounting, Finance, or related field required. Master s degree or MBA in Finance is a plus. Professional certifications such as CA, CPA, or CMA highly preferred. Experience: 8-10 years in financial management, preferably in EdTech, technology, or startups. Proven expertise in financial planning, budgeting, forecasting, and analysis. Experience managing audits, tax compliance, and regulatory reporting. Prior experience leading and developing finance teams. Skills & Competencies: Strong knowledge of GAAP/IFRS and financial reporting standards. Expertise in financial modeling, data analysis, and business analytics. Familiarity with accounting software (e.g., QuickBooks, NetSuite) and financial management systems. Excellent communication, leadership, and stakeholder management skills. Ability to thrive in a fast-paced environment managing multiple priorities and deadlines. Qualification : Bachelors degree in Accounting, Finance, or related field required.

Competitive Technical Research Analyst Location: Bangalore, India Job Summary Rubrik is seeking a Competitive Technical Research Analyst to empower our sales teams with strategic competitive intelligence. You will be instrumental in maintaining internal collateral, developing battle cards, presentations, and delivering impactful sales training that highlights Rubrik s strengths against competitors. You will collaborate closely with sales, product marketing, and product management teams to provide up-to-date market insights and help Rubrik stay ahead in the data protection and cybersecurity space. Key Responsibilities Collaborate with Sales Enablement to develop sales tools such as cheat sheets, presentations, and training materials. Work alongside Field Enablement and Field Success teams to integrate competitive strategies into sales plays. Develop defensible, data-backed competitive analyses showcasing Rubrik s advantages over competitors. Provide quarterly competitive landscape reports through detailed data analysis and feedback. Deliver day-zero competitive intelligence support on new Rubrik product features and competitive feature sets. Produce in-depth documentation comparing Rubrik solutions with competing products for internal teams. Partner with Product Management and Marketing to create collateral supporting demand generation efforts. Required Qualifications 5+ years in a sales engineer, solution architect, or quota-carrying role within a field sales team. Experience with data protection solutions such as Cohesity DataProtect, Veeam Backup & Recovery, Dell EMC IDPA/DataProtect, Veritas NetBackup, or Commvault. Familiarity with protecting unstructured data from On-Prem NAS and Cloud Object Storage. Experience crafting technical presentations for sales and customer education. Solid understanding of cloud computing architectures and SaaS application protection focused on cyber resilience. Strong knowledge of customer pain points around data protection and cyber resilience. Excellent collaboration skills to drive projects across teams. Ability to analyze competitor products, strategies, and messaging effectively. Skill in translating technical features into compelling business value propositions. High energy and a speed of sales mindset to act with urgency and curiosity. Rubrik (NYSE: RBRK) is on a mission to secure the world s data. With Zero Trust Data Security , we help organizations build resilience against cyberattacks, insider threats, and operational disruptions. Our Security Cloud, powered by machine learning, protects data across enterprise, cloud, and SaaS applications ensuring data integrity, availability, and rapid recovery.

Senior Data Analyst Location: Bangalore, India Office About the Team Rubrik s Legal Team plays a crucial role in securing the world s data by providing legal expertise across contracts, intellectual property, privacy, employment law, trade compliance, and litigation. The team fosters a culture of innovation, ownership, and collaboration as we build an iconic company. About the Role Rubrik s Legal Operations Team is looking for a skilled and motivated Senior Data Analyst to drive data-driven decision-making and operational efficiency. You will work closely with the Legal department to analyze, visualize, and report legal and compliance data, enabling strategic insights and process improvements. This role requires technical expertise and the ability to translate complex data into actionable business intelligence. Key Responsibilities Collect, analyze, and interpret legal and compliance data from various sources. Develop and maintain dashboards and reports using tools like Snowflake, Tableau, Smartsheets, PowerPoint, and Google Sheets. Track compliance initiatives and identify trends, risks, and improvement opportunities. Collaborate with Legal teams to define KPIs and metrics. Present data insights clearly to stakeholders to guide strategic decisions. Ensure data quality, integrity, and regulatory compliance. Support process optimization initiatives within Legal Operations. Manage reconciliation, validation, and data integrity tasks for critical legal projects. Create executive-level presentations demonstrating data trends and business impacts. Experience and Skills Required 5-8 years of experience in data analytics, preferably supporting legal, compliance, or operations teams. Proficiency in SQL, Tableau, Smartsheets, Excel, PowerPoint, and GSuite. Experience with case management systems and compliance datasets is a plus. Bachelor s degree in Data Science, Business Analytics, Computer Science, Finance, or a related field. Strong analytical skills with the ability to interpret large datasets and provide actionable insights. Excellent written and verbal communication skills, with experience presenting to cross-functional teams and executives. Familiarity with legal and compliance standards preferred but not mandatory. Detail-oriented with strong project ownership and process improvement mindset. Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is on a mission to secure the world s data. Our Zero Trust Data Security platform leverages machine learning to safeguard data across enterprise, cloud, and SaaS applications helping businesses stay resilient against cyberattacks and operational disruptions. Qualification : Bachelors degree in Data Science, Business Analytics, Computer Science, Finance, or a related field.

Job Title: Data Science Manager Location: Bengaluru, Karnataka, India Department: Data Science Experience: 6 8 Years Employment Type: Full-Time About CloudSEK CloudSEK is one of India s most trusted cybersecurity product companies, building world-class AI-driven platforms to detect and resolve digital threats in real-time. Our suite of products XVigil, BeVigil, and SVigil serve Fortune 500s and government bodies across the globe. Headquartered in Singapore and expanding rapidly across Asia, India, and the Americas, CloudSEK s mission is to create a safer digital ecosystem through contextual threat intelligence and proactive security. Role Overview: Data Science Manager (Marketing Mix Modeling) We are looking for a highly analytical Data Science Manager with specialized experience in Marketing Mix Modeling (MMM) to lead data-driven strategic initiatives. You will be responsible for delivering predictive models that evaluate the impact of marketing investments and optimizing ROI. The role involves direct engagement with cross-functional teams, including marketing, finance, and strategy, to influence key business decisions. Key Responsibilities Project Management & Delivery: Collaborate with Engagement Managers, Account Delivery Managers, and client stakeholders to define and refine business requirements. Develop detailed project plans that align with business goals and delivery timelines. Lead end-to-end execution of MMM projects, monitoring milestones, scope, and quality. Host internal scrum meetings and external Weekly Business Reviews (WBRs) with clients. Ensure all deliverables codes, dashboards, presentations meet quality standards and timelines. Report on delivery scorecard metrics and implement corrective action plans to improve performance. Data Science & Modeling: Design and develop Marketing Mix Models (MMM) to assess the effectiveness of marketing channels. Apply advanced techniques in predictive modeling, machine learning, and linear regression. Interpret model outputs to guide media planning, budget allocation, and strategic forecasting. Stay up-to-date with evolving methodologies and tools in data science and ML. Team Leadership & Coaching: Assign tasks based on team members strengths and monitor performance. Provide both business and technical mentorship, guiding team members through challenges. Build a high-performance, collaborative, and innovative delivery environment. Encourage experimentation and ownership within the team. Required Skills & Qualifications Technical Skills (Must-Have): Expertise in Marketing Mix Modeling (MMM) and predictive analytics. Advanced proficiency in machine learning, statistics, and data interpretation. Working knowledge of Python and SQL for data manipulation and model development. Intermediate experience with project management tools and methodologies (Agile/Scrum). Familiarity with MS Excel, PowerPoint, and data visualization tools. Soft Skills: Strong business acumen with the ability to translate insights into financial and strategic impact. Excellent communication skills for interacting with mid-level to senior stakeholders. Strong leadership and interpersonal skills: coaching, conflict resolution, and negotiation. Ability to balance perfection and pragmatism when delivering real-world solutions. Preferred Educational Background: Bachelor s degree in Engineering, Statistics, Mathematics, Computer Science, or a related technical field. Candidates with non-technical degrees must demonstrate strong technical aptitude through prior work experience. Impactful Work: Build models that influence multi-million-dollar marketing decisions. Collaborative Culture: Work alongside a high-energy, motivated, and diverse team. Growth Opportunities: Drive meaningful outcomes with room to experiment and lead. Work-Life Balance: Enjoy flexible working hours, a relaxed work environment, and plenty of snacks! Location: Work out of our energetic and innovation-driven Bengaluru office.

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.

Data Scientist III Advanced Analytics Role at Meesho Location: Bangalore, Karnataka | Department: Tech About the Data Science Team at Meesho Our Data Science team is the engine driving intelligent decision-making at Meesho. Known internally as the Avengers to our S.H.I.E.L.D, we tackle mission-critical challenges using cutting-edge data science to empower millions of users and small businesses across Bharat. From fraud detection and inventory optimization to platform vernacularization, we re shaping the future of e-commerce in India through data innovation. As a Data Scientist III, you'll be solving complex problems in a rapidly evolving market. You ll lead initiatives that translate data into strategic insights and scalable models, impacting business across various functions. About the Role If you thrive on solving high-impact data problems and love deriving actionable solutions from large datasets, you may be the next Data Scientist III at Meesho. Your primary responsibility will be to increase the utility of business data through experimentation, modeling, and strategic insights. This role involves significant collaboration with cross-functional teams, mentorship, and ownership of critical analytics workflows. What You ll Do Build and deploy machine learning models to extract insights from complex data Run experiments to test hypotheses and evaluate product performance Drive product usability improvements and uncover new growth opportunities Analyze reseller preferences and personalize product offerings Create effective discount strategies to support reseller success Enhance understanding of end-user behavior for improved targeting Uncover supply chain inefficiencies and improve SLA performance Predict seasonal and regional demand to guide planning decisions Mentor junior data scientists and contribute to team development What You ll Need Bachelor s or Master s degree in Computer Science, Data Science, or a related technical field 4 7 years of experience as a Data Scientist, ideally in a fast-paced B2C company Proficiency with Neural Networks, supervised/unsupervised learning, and ML frameworks Expertise in Python, SQL, and R for data analysis and model development Strong knowledge of statistics, linear algebra, and model validation techniques Experience in designing, running, and analyzing A/B tests Exceptional problem-solving and communication skills Experience working closely with product and engineering teams Bonus Points For: Work on personalization systems or recommendation algorithms Familiarity with Big Data technologies like Apache Spark, Hadoop, or Redshift About Meesho Meesho is India s leading social commerce platform, empowering over 1.75 million sellers to grow their businesses online. We offer a unique business model with zero commission fees and the lowest shipping costs, supported by a powerful tech ecosystem and pan-India logistics network. Our platform is built for first-time internet users and small business owners alike, democratizing e-commerce across every corner of the country. Our Mission Democratizing Internet Commerce for Everyone Meesho s goal is to enable 100 million small businesses to succeed online. With relatable, affordable merchandise and innovative seller support tools, we help entrepreneurs reach new customers and scale efficiently. Our Culture and Total Rewards At Meesho, we cultivate a high-performance, people-first culture supported by our 11 guiding Mantras. We prioritize continuous learning, collaboration, and transparency, and back it up with industry-leading employee experiences. Our Total Rewards Include: Market-leading compensation with both cash and equity components Access to MeeCare Program for physical, mental, financial, and social wellness Comprehensive medical coverage for employees and families Parental benefits, generous leave policies, and retirement plans Support for learning and career development through structured programs Employee engagement, flexible benefits, relocation assistance, and much more We re more than just a company we re a movement redefining online commerce in India. If you re a passionate data expert ready to lead high-impact initiatives, apply now and become a part of Meesho s incredible journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, or a related technical field

Sr. Product Manager / Product Manager Location: Bangalore Experience: At least 4-5 years in Pharma Marketing Industry: Pharmaceutical Portfolio: Gynae/CP Portfolio Education: Bachelor of Pharmacy (B. Pharma) Master of Business Administration (MBA) in Marketing Role Overview We are looking for an experienced Product Manager or Senior Product Manager to join our team in Bangalore. In this role, you will be responsible for developing and implementing marketing strategies for our Gynae/CP portfolio, collaborating with various teams to drive successful product launches and ensuring the ongoing growth and profitability of our pharmaceutical brands. Key Responsibilities Develop Marketing Strategies: Create and implement effective marketing strategies and communication plans for assigned brands, ensuring alignment with overall business goals. Collaboration with Sales Team: Work closely with the sales team to ensure the successful execution of marketing strategies and initiatives. Campaign Planning and Execution: Plan and execute both strategic and tactical marketing campaigns, ensuring successful product promotions and achieving objectives. Track ROI: Monitor and analyze promotional investments to ensure maximum return on investment (ROI). Cross-functional Coordination: Coordinate with internal departments (such as R&D, supply chain, regulatory, and sales) to ensure smooth marketing operations. Provide Support to Field Colleagues: Offer promotional support, medical advice, and strategic insights to field teams. Review Meetings: Organize and participate in meetings with field colleagues and head office to track progress and results. Monitor Brand Progress: Collaborate with senior sales managers to monitor the progress of assigned brands and ensure business goals are being met. New Product Launches: Identify new product opportunities and successfully launch new products in accordance with company strategies. Brand and Therapy Plans: Develop and prepare annual brand and therapy plans, ensuring timely execution. Market Research: Conduct research using both external and internal data sources to identify opportunities for growth and product improvements. Customer Relationship Management: Manage relationships with Key Opinion Leaders (KOLs) and Key Business Influencers (KBIs) in collaboration with the CRM and sales teams. Conference & CME Participation: Plan and execute participation in national and state conferences and Continuing Medical Education (CME) programs, driving innovation in participation and execution. Sales Review Meetings: Actively participate in sales review meetings and strategy meetings to ensure the alignment of marketing initiatives with sales objectives. Budget Management: Ensure the optimal utilization of promotional expenses within allocated budgets. Sales Team Training: Conduct fieldwork and on-the-job training with the sales team to improve performance and achieve business goals. Skills Required Brand Management: Experience managing brands throughout their lifecycle, from inception to market growth and maturity. Communication Skills: Strong verbal and written communication skills to effectively interact with internal teams, clients, and stakeholders. Analytical Skills: Ability to analyze data, extract actionable insights, and drive decisions based on those insights. Scientific Knowledge: A solid understanding of scientific concepts and the ability to translate them into actionable marketing strategies. Leadership Skills: Strong leadership capabilities to drive cross-functional collaboration and manage teams effectively. Interpersonal Skills: Excellent interpersonal skills, fostering collaboration and maintaining positive relationships with various stakeholders. Adaptability: Ability to unlearn and re-learn, staying open to new ideas and strategies. Presentation Skills: Ability to effectively present ideas, strategies, and insights to internal and external stakeholders. New Product Launch Experience: Proven experience in launching new products and managing their growth within the market. Preferred Qualifications A Bachelor of Pharmacy (B. Pharma) degree combined with an MBA in Marketing. 4-5 years of experience in Pharma Marketing, specifically in the Gynae/CP portfolio. Proven track record in product management, brand development, and successful marketing campaigns. Ability to work in a high-paced, target-driven environment. If you're passionate about the pharmaceutical industry and enjoy managing products that make a difference, this is the perfect opportunity for you. We offer a dynamic and collaborative work environment where you will have the opportunity to make a direct impact on the success of our products. Join us in driving meaningful innovations and delivering life-changing solutions to our customers. Qualification : A Bachelor of Pharmacy (B. Pharma) degree combined with an MBA in Marketing.

Job Title: Finance Analyst Location: Bangalore, India (On-site | 1:30 PM 10:30 PM IST) About Cytiva: At Cytiva, we are committed to advancing future therapeutics from discovery through delivery. As part of our mission, we rely on our finance team to deliver insights that drive strategic decisions and support our continued growth. Position Summary: We are seeking a Finance Analyst to join our Global India Finance Center of Excellence (COE) in Bangalore. This role will support key financial processes including budgeting, forecasting, month-end close, actuals reporting, and ad hoc analysis. The analyst will work closely with the FP&A leader and the operations team to deliver actionable insights that influence business performance. Key Responsibilities: Serve as a key finance partner to the FP&A leader and broader finance and operations teams, delivering data-driven insights to support decision-making and growth. Lead financial activities related to monthly and quarterly close, including pacing, consolidation of performance data, and preparation of financial forecasts and budgets. Develop and maintain financial tools and reports, including Bowler charts, scorecards, dashboards, and other performance tracking mechanisms. Conduct in-depth analysis of major cost drivers such as headcount and external contractors. Contribute to simplification initiatives and process improvements that enhance the capacity for high-value analysis; maintain up-to-date Standard Operating Procedures (SOPs). Required Qualifications: Bachelor s degree or MBA in Finance/Accounting, or qualification as CA/ICWA. 5 6 years of experience in finance or accounting roles, preferably with exposure to FP&A. Prior experience in a global business environment and familiarity with international financial processes. Advanced proficiency in Microsoft Excel and experience managing large datasets. Hands-on experience with ERP and BI tools such as Oracle, SAP, OneStream, or Qlik. Preferred Qualifications: Strong analytical and problem-solving skills with the ability to interpret complex data and communicate insights effectively. Experience with business process improvement and simplification initiatives. Comfortable working in dynamic, fast-changing environments with a high degree of ambiguity. Familiarity with modern BI platforms such as Qlik Sense or OneStream. Qualification : Bachelors degree or MBA in Finance/Accounting, or qualification as CA/ICWA.

Job Title: Intellectual Property (IP) Intelligence Analyst Location: Bengaluru, India About the Role: As an IP Intelligence Analyst, you will play a critical role in supporting Danaher s innovation and business strategy through patent search, analysis, and competitive intelligence activities. Focused on life sciences, bioprocessing, and clinical diagnostics technologies, this role partners with IP counsel, technical experts, and business leaders across Danaher and its operating companies. This position is part of the Danaher IP Intelligence Team, located in Bengaluru, India. Key Responsibilities: Conduct comprehensive patent searches and analyses, including freedom-to-operate (FTO), patentability, and landscaping studies, to support new product development, M&A, partnerships, and strategic initiatives. Deliver competitive intelligence by analyzing competitor patent portfolios and generating insights using advanced tools and databases. Assess internal and external IP portfolios to identify gaps, risks, and opportunities aligned with business growth objectives. Build and maintain customized IP databases and repositories to support long-term knowledge management. Collaborate with cross-functional teams including R&D, legal, and corporate development, ensuring IP insights inform strategic decisions. Required Qualifications: Master s or Ph.D. in Biotechnology, Genomic Science, Biochemistry, Bioinformatics, Biomedical Engineering, or Bioprocessing, with strong domain expertise. 1 2 years of experience in the intellectual property domain, including familiarity with patent databases, search tools, and legal-tech platforms. Demonstrated experience in conducting FTO, patentability, and landscape analysis with minimal supervision. Strong analytical and critical thinking skills, with the ability to synthesize complex technical and legal information into actionable insights. Excellent communication skills, both written and verbal, in English. Ability to work across interdisciplinary areas and adapt to evolving project needs. Additional Information: Travel requirement: Up to 10%, based on project and business needs. This role is eligible for bonus/incentive pay. Danaher offers a competitive and comprehensive benefits package. Qualification : Masters or Ph.D. in Biotechnology, Genomic Science, Biochemistry, Bioinformatics, Biomedical Engineering, or Bioprocessing, with strong domain expertise.

Chief Analytics Office (CAO) - Data Scientist Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 2-4 years Company: IBM Chief Analytics Office (CAO) Introduction: At IBM, we believe in the power of AI and data science to transform enterprises. In the Chief Analytics Office (CAO), we work on the front lines of AI-driven enterprise transformations. By joining our team, you will collaborate with innovative leaders and contribute to solving complex problems using the latest AI and machine learning technologies. Here, your skills will not only be valued but nurtured in a dynamic, collaborative environment designed for growth and impact. Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will play a critical role in driving AI and data science initiatives across the enterprise. You will use your technical expertise to develop and deploy machine learning models and data analytics solutions that align with business objectives. This role is focused on translating data insights into actionable recommendations and leading data science projects from concept to execution. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Assist in the implementation and optimization of AI-driven strategies aligned with business stakeholder requirements. Refine data-driven methodologies for enterprise transformation projects. Data Science and AI: Design, implement, and optimize machine learning solutions and statistical models. Perform end-to-end data analysis, from problem formulation through to deployment. Ensure the scalability of AI solutions by leveraging cloud platforms. Apply IBM s data science standards and reusable assets to ensure quality and consistency. Project Support: Lead and contribute across various stages of AI and data science projects, from data exploration to model development and deployment. Monitor project timelines and assist in resolving any technical challenges. Design and implement measurement frameworks to assess the business impact of AI solutions using KPIs. Collaboration: Work closely with stakeholders to ensure alignment with strategic goals. Collaborate with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Provide technical expertise to cross-functional teams, fostering a collaborative environment. Required Education and Experience: Education: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. An advanced degree is strongly preferred. Experience: 2-4 years of experience in data science, AI, or analytics, with a focus on implementing data-driven solutions. Experience with data cleaning, data analysis, A/B testing, and data visualization. Hands-on experience with AI technologies through coursework or projects. Required Technical Skills: Programming and Data Analysis: Proficiency in SQL and Python for data analysis and developing machine learning models. Familiarity with machine learning algorithms such as linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks (e.g., TensorFlow, PyTorch). Cloud Platforms & Data Processing: Experience with cloud-based platforms (e.g., AWS, Azure, IBM Cloud) and data processing frameworks. Specialized Knowledge: Knowledge of large language models (LLMs) and familiarity with IBM s WatsonX product suite. Familiarity with object-oriented programming (OOP) principles. Analytical and Soft Skills: Problem-Solving: Strong analytical skills with the ability to solve complex problems and derive actionable insights from datasets. Communication: Excellent communication skills to explain technical concepts clearly to stakeholders at various levels. Project Management: Ability to handle multiple initiatives simultaneously, prioritize effectively, and meet deadlines in a fast-paced environment. Preferred Experience: Advanced Degree: A Master s degree in a related field is strongly preferred. Impact: Work on innovative projects that directly impact enterprise transformation using the latest AI and data science techniques. Collaboration: Be part of a collaborative environment with a global team of AI experts. Growth: Develop professionally with continuous learning opportunities in the ever-evolving AI field. Work-Life Balance: IBM offers a dynamic work environment with flexibility and career growth opportunities. Apply now and join IBM's Chief Analytics Office as a Data Scientist and be part of the next generation of data-driven innovations. Qualification : A Masters degree in a related field is strongly preferred.

Job Title: Market Intelligence Manager Mode of Work: Work from Office Qualification: A Bachelor s/ Master s degree in marketing Experience: 03-10 years Location: Bangalore Department: Business About the Role: We are looking for a friendly and detail-oriented Market Research professional to join our dynamic team in the Information Technology and Services industry. In this pivotal role, you will have the opportunity to dive deep into market trends, customer behaviours, and competitive landscapes. Your findings will play a significant role in shaping our strategic decisions involving market expansions and guiding our innovations. You ll collaborate with cross-functional teams, bringing your analytical skills to the table to provide actionable recommendations that help us stay ahead in the ever-evolving tech landscape. We re not just looking for someone who can crunch numbers; we want a curious mind ready to explore and analyse data, turning it into compelling stories that resonate with our stakeholders. If you re someone who thrives on data-driven decision-making and loves the challenge of transforming raw information into strategic insights, we want to hear from you! Join us in making a difference in the tech industry and helping steer our company toward a more informed future! Skills and Requirements: Educational Background: A Bachelor s/ Master s degree in marketing, business, statistics, or a related field; a master s degree may be preferred. Work Experience: 3 10 years of experience in solid Market research. Analytical Skills: Strong analytical and critical thinking skills to interpret complex data. Technical Proficiency: Familiarity with statistical software (e.g., SPSS, SAS) and data visualization tools (e.g., Tableau) Not Mandatory. Communication Skills: Excellent written and verbal communication skills to present findings clearly. Attention to Detail: Strong attention to detail to ensure accuracy in data collection and analysis. Proven experience in market research and market data analysis, preferably in the IT sector. Ability to thrive in a fast-paced, high-pressure environment while managing multiple priorities. Strong problem-solving skills and a proactive mindset. Data Collection: Gather data through surveys, interviews, focus groups, and other methods to understand consumer preferences and market trends to provide valuable insights. Data Analysis: Analyse data using statistical software and tools to identify patterns, trends, and insights. Analyse and interpret data to inform product development and marketing strategies. Report Preparation: Prepare detailed reports and presentations that summarize research findings and provide actionable recommendations and effectively communicate research findings to stakeholders. Market Trends Monitoring: Keep track of market trends, competitor activities, and industry developments to inform strategic decisions. Monitor competitor activity and industry developments to provide strategic recommendations. Collaboration: Work with marketing, sales, and product development teams to align research findings with business strategies. Consumer Behaviour Study: Study consumer behaviour and preferences to help develop marketing strategies and product offerings. Market Research: Conduct comprehensive market research to identify trends, opportunities, and threats in the IT and services sector pertaining to the domains addressed by PIXEL. Stay up-to-date with emerging technologies and trends relevant to the industry. Utilize data analytics to monitor performance and provide actionable insights. Collaborate with leadership to align business market intelligence initiatives with organizational goals. Work closely with the various Sales, Marketing and Partnership managers to collaborate on global domain, partnership and account intelligence. Keep a track of action items post specific market intelligence findings with specific teams. Deliver pointed and specific research and market intelligence within specific timelines. Analyse, report and utilise market intelligence tools and use AI effectively to generate very specific information. Use information gathered to advise Sales / Partnership teams on next discovery steps. This job might be for you if: You enjoy solving problems. You love taking on difficult challenges and finding creative solutions. You don t get flustered easily. If you don t know the answer, you ll dig until you find it. You pay attention to the details. As far as you re concerned, anything worth doing is worth doing right, every single time. You stay focused, and nothing falls through the cracks on your watch. You think on your feet. You like learning new things, and you can learn quickly. When things change, you know how to roll with the punches. You communicate clearly. You write well, you speak eloquently and you can explain just about anything to anyone. You are motivated and driven. You are ready for new challenges without waiting to be asked. You re going to take ownership of the time you spend with us and truly make a difference. Qualification : A Bachelors/ Masters degree in marketing, business, statistics, or a related field; a masters degree may be preferred.

About Us At Quantiphi, technology drives our innovation, but our global and diverse culture powers our success. We take immense pride in fostering a workplace built on transparency, diversity, integrity, continuous learning, and personal growth. If you are excited to work in an environment that encourages innovation and excellence in both professional and personal spheres, Quantiphi could be the perfect place for your career! Role: Client Solutions Partner Banking & Capital Markets Who We Are Looking For We are looking for a highly motivated and experienced sales leader to drive business growth in the Banking & Capital Markets sector across North America. You will report directly to the Senior Client Solutions Partner for Financial Services & Insurance. This role requires: Strong industry knowledge Relationship-building expertise Proven ability to manage large enterprise accounts, especially within Fortune 1000 companies Key Responsibilities Strategic Account Growth Develop and implement account strategies for large Banking & Capital Markets clients in North America Identify and pursue new business opportunities while fostering relationships with C-level executives Sales Cycle Ownership Manage end-to-end sales cycles, from lead generation and analysis to proposals, negotiations, and deal closure Present Quantiphi s value proposition to senior executives, demonstrating clear ROI Client-Centric Solutions Understand client needs, business goals, and technology ecosystems Showcase how Quantiphi s AI and data science solutions can address key challenges such as: Anti-money laundering (AML) Know-your-customer (KYC) Loan origination Fraud detection Risk management Regulatory reporting Investment strategies Personalized banking services Relationship Building Build trusted partnerships with key stakeholders within target accounts Deliver strategic insights on using AI and data to enhance business performance Cross-Functional Collaboration Work closely with internal teams, including marketing, solution architects, and delivery teams, to ensure seamless project delivery and client satisfaction Collaborate with technology and business alliance partners to enhance solution offerings Sales Forecasting & Performance Maintain accurate sales forecasts and effectively manage your pipeline Consistently achieve or exceed assigned sales targets Industry Expertise Stay updated on Banking & Capital Markets trends, including fintech innovations, regulatory changes, and emerging technologies Use this expertise to identify growth opportunities and strengthen Quantiphi s market position Required Qualifications Proven enterprise sales success within Banking & Capital Markets Strong existing network within North America s Banking & Capital Markets sector, preferably with Fortune 1000 contacts Deep understanding of banking business challenges and how AI and data science apply Excellent communication, presentation, and influencing skills across all levels Experience managing complex sales cycles and closing large enterprise deals Strong collaborative approach with the ability to manage multiple stakeholders Bachelor s degree required; MBA preferred Minimum 5 years of enterprise sales experience in Banking & Capital Markets Qualification : Bachelors degree required; MBA preferred