Digital Product Associate Senior

“I can be myself at work.” You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness—and we’re committed to fostering a strong sense of belonging in a respectful workplace. We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences.

We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day:
Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.

“I can influence my income.” You want to feel recognized r performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You’ll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.

“I can lead a full life.” You bring unique goals and interests to your job and your life. Whether you’re raising a family, you’re passionate about where you volunteer, or you want to explore different career paths, we’ll give you the resources that can set you up for success. Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options;

receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love; access on-demand professional development resources that allow you to hone existing skills and learn new ones.

The Digital Product Associate Senior will play a critical role in transforming data into actionable insights that drive product strategy, roadmap decisions, and business outcomes. This individual will partner closely with Product Managers, business stakeholders, data engineers, and technology teams to analyze complex datasets, identify opportunities for product enhancements, measure product performance, and inform strategic decision-making. The ideal candidate combines strong analytical and technical skills with a solid understanding of product management principles.

They are naturally curious, highly data-driven, and capable of translating business questions into meaningful analyses that influence product direction and customer experience.

• Analyze large and complex datasets to identify trends, patterns, customer behaviors, and opportunities for product improvements.
• Develop actionable recommendations that influence product strategy, roadmap prioritization, and feature enhancements.
• Define, measure, and monitor key product performance indicators (KPIs) and success metrics.
• Perform root cause analysis to investigate business issues, operational challenges, and product performance concerns.
• Partner with Product Managers to evaluate market opportunities, customer needs, and business priorities using quantitative and qualitative data.
• Support product discovery activities through data analysis, experimentation, and hypothesis validation.
• Design and develop data models, dashboards, reports, and visualizations that provide self-service insights for stakeholders.

• Bachelor's degree in Business, Statistics, Mathematics, Economics, Computer Science, Engineering, Information Systems, or a related field.
• Advanced degree preferred.
• Minimum 5 years of experience in data analytics, business analytics, product analytics, or a related field.
• Experience supporting product management, product strategy, or product development initiatives.
• Demonstrated ability to translate data into strategic business recommendations.
• Advanced proficiency in one or more of the following: SQL, Python, R, Alteryx, Tableau, Power BI or equivalent analytics and visualization platforms.
• Strong experience with data visualization, dashboard development, and reporting.
• Experience analyzing large datasets from multiple sources.
• Familiarity with data modeling, data warehousing, and data governance concepts.

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