Senior Product Analyst

SpotOn • Austin, TX

1d • $119,000 - $142,000

About The Position

SpotOn is seeking a strategic, highly collaborative, and deeply analytical Senior Product Data Analyst to join their team. This role will serve as the primary partner for a designated product area, taking ownership of complex behavioral analyses from start to finish to support data-driven decision-making. The analyst will collaborate closely with product managers, engineers, and designers to influence product strategy, understand user interactions with integrated software and POS hardware, and translate findings into actionable recommendations. The position requires a balance of high-impact product partnership and technical expertise, ensuring product data is well-modeled in dbt, accurately interpreted, and prepared for future analytical tools. The ideal candidate thrives in fast-paced, ambiguous environments, values collaboration, is interested in the hospitality industry's operational aspects, and is committed to data integrity and clear communication.

Requirements

• SQL & dbt Mastery: Strong SQL skills and proven experience using dbt to transform raw data into production-grade analytics tables inside a cloud data warehouse (e.g., Snowflake).
• Modern Tooling Familiarity: Practical experience leveraging a modern data stack, specifically combining dbt with behavioral event tools (e.g., Heap) or flexible business intelligence platforms (e.g., Metabase).
• AI Fluency: Active use of modern AI assistants to accelerate workflow (code generation, debugging, automated documentation) paired with a practical understanding of how data structures must be formatted to feed AI-driven application layers.
• Business Acumen & Storytelling: Strong grasp of how product metrics drive core business outcomes (retention, conversion, revenue). Ability to translate complex data into clear, contextual narratives that influence product strategy.
• Execution Bias & Influence: A proactive partner who thrives in ambiguity, confidently challenges assumptions with data, and works cleanly across product and engineering boundaries to solve problems.
• 4+ years of progressive experience in product analytics, data analytics, or a related data field.

Nice To Haves

• Experience in point-of-sales (POS), or the Food and Entertainment industry.
• Experience with Python, Jinja, or reverse ETL workflows.
• Experience developing and managing centralized semantic/metric layers or data catalogs optimized for LLM text-to-SQL utilities.

Responsibilities

• Drive Strategic Product Insights: Conduct deep-dive cohort, funnel, and segmentation analyses to diagnose merchant churn, optimize activation paths, and map feature adoption profiles. Translate complex behavioral patterns into actionable recommendations influencing product prioritization and roadmap direction.
• Scale Analytics Through Governance: Establish clear intake workflows, project boundaries, and self-serve frameworks to scale analytics capabilities. Enable cross-functional stakeholders to answer baseline data questions independently via BI tools.
• Own Product Data Transformation (dbt): Partner with data engineering to design and maintain clean, performant data models in dbt. Transform raw event-tracking data into structured, reusable tables.
• Define Metrics & Champion Tracking Quality: Partner with product managers to define success criteria and tracking requirements for new features. Collaborate with engineering to ensure accurate instrumentation, audit pipelines for data gaps, and mitigate data debt.
• Define the Standards & Elevate the Team: Help define core metric frameworks and tracking standards. Mentor junior analysts, lead documentation or training efforts, and set a high bar for analytical rigor.

Benefits

• Medical, Dental and Vision Insurance
• 401k with company match
• RSUs
• Paid vacation, 10 company holidays, sick time, and volunteer time off
• Employee Resource Groups to build community and inclusion at work
• Monthly cell phone and internet stipend
• Tuition reimbursement for up to $2,000 per calendar year to assist with your professional development

What This Job Offers

• Job Type: Full-time
• Career Level: Senior