• You'll partner with teams across the organization to transform data into meaningful insights that drive smarter decisions. • You'll help leaders understand business performance, identify opportunities for improvement, and measure the impact of strategic initiatives. • The best analysts don't just report what happened – they help teams understand why it happened and what to do next. • Design and analyze experiments, pilots, and performance evaluations that separate signal from noise and support confident decision-making. • Build dashboards and reporting that provide leaders with visibility into operational performance, customer outcomes, and organizational health. • Analyze data across multiple sources to identify patterns, emerging opportunities, risks, and areas for improvement. • Use segmentation, cohort analysis, and behavioral data to understand customers, users, or operational processes and identify opportunities to improve results. • Partner with stakeholders across departments to answer high-impact business questions, evaluate tradeoffs, and provide analytical recommendations. • Improve data quality, instrumentation, and reporting by identifying gaps in existing data collection and helping teams capture the information needed to make informed decisions. • Build confidence in business decisions by designing analyses and communicating insights that help teams understand what is working – and what isn't. • Turn data into strategic direction by uncovering trends, identifying opportunities, and providing actionable recommendations. • Create visibility into organizational performance through dashboards, reporting, and metrics that stakeholders rely on every day. • Partner with cross-functional teams to frame business problems, evaluate options, and ensure decisions are supported by data. • Develop meaningful metrics and reporting frameworks that enable teams to consistently measure success and track progress over time. • Identify opportunities to improve business processes, customer experiences, and operational efficiency through thoughtful analysis. • Bring clarity to complex problems by asking the right questions, exploring the data, and delivering insights that move the business forward.

Role Description We are currently hiring a Senior Data Analyst to drive high-impact insights that shape product strategy and optimize conversion across the end-to-end customer journey. This role focuses on analyzing and improving key conversion points using detailed, cross-platform data. - Partner closely with product, design, engineering, marketing, and business teams to uncover opportunities, quantify impact, and influence strategic decisions. Employee Value Proposition (EVP): PROG is dedicated to providing people with opportunity—opportunity for inclusive collaboration, opportunity for innovation, and opportunity for development. YOU ARE: - A curious and self-driven analyst who takes initiative to explore data, challenge assumptions, and uncover insights others might miss. - Comfortable working in environments where data may be incomplete, ambiguous, or evolving, and can still produce meaningful insights and direction. - Motivated by understanding how customers move through conversion funnels and where they encounter friction. - Capable of translating detailed analysis into clear, actionable recommendations. YOUR DAY-TO-DAY: - Conversion & Funnel Analysis: - Analyze the end-to-end customer journey, identifying key conversion drivers, drop-offs, and friction points across web, mobile, and internal systems. - Perform deep-dive analyses on funnel performance, cohorts, and customer segments to uncover actionable opportunities. - Partner with product teams to evaluate experiments and feature performance, ensuring sound interpretation of test results. - Strategic Product Insights: - Translate complex, cross-platform data into clear, actionable recommendations that improve conversion and customer experience. - Define and refine KPIs that measure funnel performance and product impact. - Connect insights across systems to provide a holistic view of customer behavior and business outcomes. - Data & Analytical Execution: - Work with large datasets across Snowflake, HEAP analytics, Amperity CDP, and internal systems. - Write and optimize complex SQL queries to support analysis and reporting. - Combine and validate data from multiple sources, navigating inconsistencies and gaps where needed. - Cross-Functional Partnership: - Collaborate closely with product, design, engineering, marketing, and operations teams. - Communicate insights clearly to both technical and non-technical stakeholders. - Help establish shared definitions and measurement frameworks for conversion and performance. Qualifications - Bachelor’s degree in quantitative field (e.g., Computer Science, Statistics, Economics, Mathematics). - 5+ years of experience in product or data analytics. - Strong experience analyzing conversion funnels and customer behavior. - Advanced SQL skills and experience working in data warehouse environments (e.g., Snowflake). - Experience with BI and visualization tools (Tableau, Power BI, etc.). - Familiarity with product analytics tools (e.g., HEAP) and customer data platforms (e.g., Amperity) or similar systems. - Solid understanding of A/B testing principles and interpreting experimental results. - Demonstrated ability to take initiative, navigate ambiguity, and deliver insights that drive business impact. - Strong communication skills with the ability to influence decisions through data. Preferred Experience - Experience working with cross-platform data (web, app, CRM, and operational systems). - Familiarity with customer lifecycle analytics and funnel optimization. - Exposure to data modeling, pipelines, or ETL processes. Benefits - Competitive Compensation. - Full Health Benefits (Medical, Dental, Vision, Life Insurance). - Paid Time Off, Paid Holidays, and Paid Volunteer Time. - Company-Matched 401(k). - Tuition Reimbursement. - Employee Resource & Diversity Groups. - Charitable Gift Matching. - Job-required equipment and services provided.

• Independently design, develop, implement, and continuously improve automated workflows that enhance the collection, organization, integrity, and accessibility of investment data. • Manage and integrate data across portfolio management systems, CRM platforms, investment reporting tools, and other technology applications. • Develop, maintain and enhance dashboards, reporting tools, and analytical models that improve operational efficiency and investment reporting. • Evaluate emerging technologies, automation tools, and artificial intelligence applications, recommending and implementing approved enhancements that improve Investment Office workflows. • Own the preparation, maintenance, and continuous enhancement of recurring and ad hoc reports for the Investment Office, Investment Committee, and Board of Trustees. • Monitor and analyze portfolio performance through return attribution, exposure analysis, holdings analysis, value creation metrics, benchmarking, and risk assessment. • Prepare analytical presentations and reporting materials that support portfolio monitoring and strategic investment discussions. • Independently conduct quantitative and qualitative research on existing investment managers, prospective investment opportunities, and broader market trends. • Support investment due diligence through financial analysis, data collection, and research. • Lead assigned initiatives that improve investment reporting, operational workflows, and data quality. • Identify opportunities to streamline processes and recommend technology-based solutions that improve efficiency and effectiveness.

• Support one or more analytical aspects of the business products and services life cycle • Work with more senior team members, customers, Data Engineers, Data Architects, and Capability Managers to capture capability needs and drive quality data and reporting solutions • Create and maintain deliverables such as data set creation, operational reports, and analytical dashboards • Collaborate with cross-functional teams on data-driven projects • Conduct requirement walkthroughs and sprint reviews • Assure compliance for required standards and all necessary approvals have been obtained throughout the data delivery lifecycle