Senior Tech Product Analyst

Risepoint

35d

About The Position

The Senior Tech Product Analyst sits within the Data Science team in Risepoint’s Student Journey Platform organization. This team uses machine learning, behavioral data, and experimentation to shape the digital experiences that support students as they navigate their educational journey. In this role, you will serve as the voice of the student—connecting quantitative insights, behavioral patterns, and qualitative signals to help our tech product, design, engineering, and student success teams deliver experiences that truly meet learner needs. You will turn data into direction, ensuring our Student Journey Platform continues to evolve with clarity, rigor, and empathy.

Requirements

5-8+ years' experience independently leading data and research projects from scoping, alignment, and execution.
Comfort working with data analytics tools (e.g., Excel, Tableau, Power BI, Looker, SQL), or an excitement to develop technical data analytics capabilities.
Experienced with funnel analysis, cohort & segmentation analysis, statistical methods and A/B testing or motivated to develop expertise in these advanced analytical techniques.
Connects data to business impact. Translates complex analyses into clear insights that guide strategic and operational decisions, emphasizing the “so what” behind the numbers.
Communicates with influence. Delivers data-driven narratives that are clear, concise, and actionable for cross-functional and senior audiences.
Drives learner-centered outcomes. Applies analytical rigor to improve learner experiences and success metrics.
Operates effectively in fast-paced settings. Brings experience from consulting, technology, or other high-growth environments where agility and execution matter.

Nice To Haves

Experience with Databricks preferred.

Responsibilities

Partner cross-functionally with tech product, design, engineering, data science and user research to translate findings into actionable tech product strategies and Inform tech product requirements, design improvements, and feature effectiveness.
Analyze baseline student data to surface meaningful insights that inform tech product and engagement strategies.
Design and measure tech product experiments (A/B tests, RCTs, etc.) to evaluate effectiveness and understand what drives results.
Synthesize quantitative and qualitative data—including lead enrichment, call transcripts, surveys, NPS, usability studies, and competitive insights—to identify friction points and opportunities.
Maintain baseline data about the student journey that feeds insights into tech product prioritization and roadmap planning.
Work closely with engineering teams to ensure accurate data collection and instrumentation, providing guidance on tracking implementation and data integrity.
Work across structured and unstructured data, including speech analytics, to derive meaningful insights.
Create clear, data-driven narratives that translate insights into action—aligning executives and cross-functional teams around shared priorities in a fast-changing environment.
Build trust and credibility across teams by navigating ambiguity and uniting stakeholders around common goals.

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