Senior Client Quantitative Analyst

. Lead analytical work efforts for projects within the consumer and small business product space .

Posted 9/25/2026full-timeUnited StatesSenior💰 $135,000 - $163,300 per yearWebsite

Tools & technologies

HadoopOraclePythonSQLTableau

Key responsibilities & impact

Lead analytical work efforts for projects within the consumer and small business product space
Source, integrate, and transform client, product, and performance data across relational and non-relational platforms
Translate business and product questions into analytical frameworks and develop actionable recommendations
Evaluate product performance and customer journeys by defining and monitoring adoption, usage, engagement, retention, attrition, customer outcome, and business impact metrics
Partner with product, marketing, technology, data product management, governance, and business teams
Communicate complex analytical findings through data storytelling, visualizations, and actionable recommendations
Validate data and analytical outputs, resolve or escalate inconsistencies, and follow documentation, control, governance, and business-continuity requirements
Lead complex analytical initiatives, manage competing priorities, and support development of people and team capabilities

What you’ll need

Minimum of bachelor’s degree with strong quantitative background in Marketing, Statistics, Mathematics, Economics, Data Science, Analytics, or a related field, or equivalent work experience
Ability to source, integrate, transform, and validate data from multiple systems 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, adoption, usage, retention, attrition, and business outcomes
Ability to define and track key performance indicators and develop measurement frameworks
Working knowledge of segmentation, behavioral analytics, statistical modeling, predictive analytics, and test-and-learn methods
Ability to translate complex analytical findings into actionable insights and recommendations
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 Tableau, MicroStrategy, and ThoughtSpot
Ability to use Microsoft Copilot Chat and GitHub Copilot while following applicable controls and standards
Ability to collaborate across product, marketing, technology, data, and governance teams
Ability to adapt quickly, learn new technologies, and apply emerging analytical techniques

Comp & perks