Senior Product Analytics Lead - Data-Driven Insights

Quest Oracle Community

Jacksonville (FL)

Hybrid

USD 135,000 - 163,000

Full time

14 days+

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Job summary

Bank of America is seeking a data analytics lead to drive analytical work for consumer and small business products. You will source, transform, and analyze data across platforms using SQL, Python, and SAS, delivering insights to marketing, product, and tech teams.

You will define KPIs, evaluate product adoption, and communicate findings to varied audiences with data storytelling and visuals. The role requires collaborating across teams and supporting data governance and quality initiatives.

Qualifications

Ability to source, integrate, transform, and validate data from multiple systems of record using modern data tools and techniques.
Experience in product analytics, customer analytics, marketing analytics, portfolio analytics, or business performance analytics.
Experience evaluating product performance, customer engagement, customer journeys, and business outcomes, including adoption, usage, retention, and attrition.
Ability to define and track key performance indicators, develop practical measurement frameworks, and assess business impact.
Working knowledge of advanced analytical techniques, including segmentation, behavioral analytics, statistical modeling, predictive analytics, and test-and-learn methods.
Proven ability to translate complex analytical findings into clear, actionable insights and recommendations for stakeholders with varying levels of analytical fluency.
Understanding of Consumer and Business Payments ecosystems and Merchant Acquiring solutions.
Fluency in Python and SQL.
Familiarity with relational and non-relational databases, including Teradata, Oracle, Hadoop, SAS-Grid, and Starburst.
Experience with business intelligence platforms such as Tableau, MicroStrategy, and ThoughtSpot.
Ability to use AI-powered tools such as Microsoft Copilot Chat and GitHub Copilot to accelerate analysis, insight development, and operational efficiency while following applicable controls and standards.
Ability to collaborate across product, marketing, technology, data, and governance teams to align on requirements, milestones, and shared outcomes.
Ability to adapt quickly, learn new technologies, and apply emerging analytical techniques appropriately.

Responsibilities

Sources, integrates, and transforms data across relational and non-relational platforms using SQL, Python, Spark/Scala, SAS, and other analytical tools to create meaningful measures, insights, and reusable analytical outputs.
Translates business and product questions into analytical frameworks and applies quantitative, segmentation, behavioral, and test-and-learn techniques to develop actionable recommendations.
Evaluates product performance and customer journeys by defining and monitoring metrics related to adoption, usage, engagement, retention, attrition, customer outcomes, and business impact.
Partners across product, marketing, technology, data product management, governance, and business teams to clarify requirements, align priorities, support data product adoption, and deliver agreed outcomes.
Communicates complex analytical findings to technical, non-technical, and senior audiences through clear data storytelling, visualizations, and actionable recommendations using tools such as PowerPoint, Word, Excel, and Tableau.
Validates data and analytical outputs, resolves or escalates inconsistencies, and follows documentation, control, governance, and business-continuity requirements to support trusted data and consistent metrics.
Leads complex analytical initiatives, manages competing priorities to achieve outcomes, and supports the development of people and team capabilities.