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Chase · 2 months ago

Senior Product Associate - (MAP) Marketing Data Platforms

1111 Polaris Pkwy, Columbus, OH, 43240, US

Full-time

Onsite

Mid, Senior Level

3+ years exp

Chase is one of the world’s most innovative financial organizations, seeking a Senior Product Associate to develop and optimize products leveraging user research and customer feedback. The role involves collaborating across teams to drive innovation in marketing data platforms and utilizing data analysis skills to ensure data integrity and accelerate product development cycles.

BankingFinancial Services

Responsibilities

Partner with the Product Manager to identify new product opportunities through user research and discovery

Plan for upstream and downstream implications of new product features on the overall product experience

Support user research, journey mapping, and market analysis to inform the strategic product roadmap

Analyze, track, and evaluate product metrics, ensuring alignment with time, cost, and quality targets

Write requirements, epics, and user stories to support product development

Identify opportunities for modern technologies, such as agentic AI, to optimize marketing outcomes across CCB LOBs

Apply hands-on data analysis skills using SQL, Alteryx, Tableau, and Excel to explore data, troubleshoot issues, and validate data integrity

Build data-driven proof-of-concepts to test hypotheses and inform product development

Translate business needs into clear, technically informed requirements for engineering teams

Partner with marketing analytics, growth teams, and stakeholders to ensure data solutions meet objectives

Manage relationships and technical interactions with third-party vendors

Qualification

Product managementSQLData analyticsAlteryxTableauData visualizationData literacyScripting languagesData modelingMarketing analyticsProblem-solvingCritical thinking

Required

3+ years of experience or equivalent expertise in product management or a relevant domain area

Proficient knowledge of the product development life cycle

Experience in product life cycle activities including discovery and requirements definition

Developing knowledge of data analytics and data literacy

Strong proficiency in SQL for complex data querying, analysis, and validation

Hands-on experience with data manipulation and transformation tools such as Alteryx, Tableau Prep, or Dataiku

Experience utilizing data visualization tools like Tableau and spreadsheet software like Excel

Experience translating complex data requirements and business needs into actionable product specifications and user stories

Strong analytical, problem-solving, and critical thinking skills with a data-driven mindset

Preferred

Experience with scripting languages (e.g., Python) for data manipulation, automation, and/or interacting with APIs

Direct experience working with data from Mobile Measurement Partners (MMPs), Multi-Touch Attribution (MTA) providers, and/or aggregated campaign reporting platforms

Familiarity with cloud-based data warehousing or data lake solutions (e.g., Snowflake, Google BigQuery, Amazon AWS)

Understanding of data modeling, schema design, and/or data governance principles

Experience working with data for A/B testing or marketing experimentation

Deeper domain knowledge within the marketing analytics or advertising technology ecosystem