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Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Serve as the primary analytics thought partner and data expert for the Partnerships leadership team, spearheading strategic decisions around agent acquisition, baseline pricing, and new market opportunities.
- Track, evaluate, and optimize the agent-facing platform experience. Define precision usability metrics for new product features to ensure engineering sprint cycles drive positive user actions.
- Build diagnostic data models to analyze, track, and mitigate backend financial exposure. Slice historical operational datasets to pinpoint risk concentration hotspots within external agencies and design targeted debt recovery frameworks.
- Isolate critical growth levers across the agent journey to define the definitive onboarding metric (the "aha moment") that yields a positive snowball effect on platform retention and aggregate revenue generation.
- Manage performance frameworks and monitor conversion steps for our emerging annuities business lines using a classic Direct-to-Consumer (D2C) funnel approach.
- Collaborate with data engineers and broader analytics teams to maintain scalable business logic, deploy clean tracking dashboards, and enable self-service analytics across the organization.
- Actively build, test, and integrate advanced generative AI tools to automate internal analytics processes and maximize delivery speed.
- Provide ongoing guidance, peer code reviews, and tactical leadership training to distributed junior analytics resources across our global offices.
Requirements
What you’ll need- 5 to 8 years of experience in product analytics, business intelligence, data science, or analytically intensive individual contributor roles at high-growth tech startups or well-established firms.
- Non-negotiable expert knowledge of SQL.
- Strong foundational knowledge of statistics and predictive data modeling is highly desired.
- Familiarity with scripting languages (Python or R) is a major plus.
- Proven history of actively leveraging modern Large Language Models (like ChatGPT or Claude) inside your day-to-day workflow to streamline writing, debug calculations, and automate personal efficiency.
- Must rank in the top 10% of AI-fluent analysts.
- Experience utilizing advanced visualization, dashboarding, and AI-enabled analytics environments (such as Hex, Tableau, Mode, or Excel).
- Exceptional talent for entering highly ambiguous situations, slicing past data records proactively to expose root causes, and organizing disparate facts into clear corporate narratives.
- Superior written and verbal communication skills; comfortable defending high-stakes analytical summaries to the corporate C-suite and Board of Directors.
- Advanced degree in a quantitative domain (Statistics, Economics, Computer Science, Engineering, Applied Math) or equivalent practical technical background.
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Paid time off
- Flexible work arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdata modelingpredictive modelingPythonRLarge Language Modelsdata visualizationdashboardinganalyticsperformance frameworks
Soft Skills
leadershipcommunicationproblem-solvinganalytical thinkingcollaborationadaptabilitycritical thinkingnarrative buildingmentoringuser experience optimization
