Analytics Head

Published:
May 5, 2025 – The Analytics Head leads and develops a high-performing analytics team to drive actionable insights across customer experience, web and merchandising optimization, and pricing strategies. This position leverages big data analytics, machine learning models, and business intelligence tools to enhance site optimization, customer journeys, and lifetime value. The head also collaborates with IT and stakeholders to integrate data sources, build reporting platforms, and create a culture of continuous improvement through test-and-learn strategies.

Job Summary:

• Lead the analytics team for Retail Lending, Rural Lending, Cards and Payments Business
• Co-own business number targets for analytics-driven business outcomes
• Drive business insights based on data and implement them in systems
• Create a competitive advantage for business through the use of analytics
• Work with top-end vendors/fintech to bring the best solutions in the lending business
• Foster a culture of analytic decision-making across the business
• Drive business value through more optimized data-based decision making
• Drive business growth through the use of data and insights for the retail lending business units
• Lead a large team of business analysts/data scientists
• Create new-age solutions through usage and implement ML solutions in a big data environment
• Create and maintain the foundational data infrastructure that is critical for the success of analytic work.

Skills on Resume:

• Leadership (Soft Skills)
• Analytics (Hard Skills)
• Business Strategy (Soft Skills)
• Data-driven Decision Making (Hard Skills)
• Data Infrastructure Management (Hard Skills)
• Team Management (Soft Skills)

Job Summary:

• Perform simultaneous large, complex, and business-critical analyses/abstract problems that serve major parts of the business.
• Discover insights using statistics, data mining, and visualization techniques
• Develop scalable models and tools that speed up both decision-making and accuracy for the team.
• Be a key influencer in strategy and contribute significantly to overall planning.
• Navigate discordant views, find the best way forward, and influence stakeholders around a solution.
• Define, develop, and maintain critical business reports reviewed at a defined cadence.
• Help to automate processes by developing deep-dive tools, UIs, metrics, and dashboards to communicate insights to the business teams
• Analyze historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations
• Collaborate with the data engineering team to implement analytics systems and data structures to support large-scale data analysis and the delivery of ML and econometric models
• Understand the broad range of Amazon’s data resources, which to use, how, and when
• Collaborate effectively with internal end-users and cross-functional teams to solve problems and implement new solutions.

Skills on Resume:

• Problem Solving (Soft Skills)
• Statistics (Hard Skills)
• Data Mining (Hard Skills)
• Stakeholder Influence (Soft Skills)
• Automation (Hard Skills)

Job Summary:

• Work with the Senior Management team to create data solutions for new business pitches.
• Create solutions in attribution and bidding solutions using lifetime value and CRM data to produce insights.
• Create audience plans that cover all elements of a user journey, as well as creating Lifetime Value bidding models to optimize paid media.
• Create and champion best practices in data, with the use of Cloud and Lifetime value modeling in key accounts
• Collaborate with clients and consult on data usage across their portfolio
• Cross-sell data projects to clients and act as a subject matter expert within Digital Data for the business.
• Influence the Data Engineering and GMP teams to adopt a uniform approach to Data.
• Manage, mentor, and coach the current team, and scale this team over the coming years.
• Set mid and long-term machine learning strategy (they are not looking for a hands-on coder)
• Explain the possibilities of using state-of-the-art analytics and ML processes in the company and acquire lighthouse…