Senior Analytics Engineer

Freshpaint

1d • Remote

About The Position

Freshpaint relies on data every day to guide product and growth decisions. As we scale, we’re investing in the foundational systems that will support that usage at the next level — making our data unified, scalable, and built to power experimentation and advanced analytics across the company.
We’re looking for a Senior Analytics Engineer to architect that foundation.
This is not a reporting role. It’s a high-impact systems role at the intersection of Product, Engineering, GTM, RevOps, and Customer Success, where you will design and own the unified data model that drives strategic decisions and operational workflows.
Reporting to the Head of Data, you will shape how data is modeled, governed, and activated across Freshpaint. You’ll build scalable dbt models in Snowflake, strengthen data quality and governance, and create the analytics layer that enables teams to move faster with confidence.
Your work will reduce engineering overhead, eliminate metric fragmentation, increase trust in decision-making, and position Freshpaint to leverage advanced analytics as we grow.
Why This Role Is Exciting
Architect the core data systems that will support Freshpaint’s next stage of growth.
Design the unified data model that becomes the backbone of product, revenue, and operational decisions.
Move beyond reactive reporting and build scalable analytics solutions.
Partner closely with Product and Engineering to influence how data is captured, modeled, and activated.
Operate with autonomy and real ownership in a role that directly shapes company direction.

Requirements

• 7+ years of experience in analytics engineering, data engineering, or business intelligence roles.
• 3+ years of hands-on dbt experience building scalable, production-grade data models.
• Deep SQL expertise and strong dimensional modeling fundamentals.
• Experience working with modern data stacks (Snowflake, Fivetran, Looker).
• Experience supporting experimentation, predictive analytics, anomaly detection, or other advanced use cases.
• Proven ability to implement governance practices and data quality controls.
• Strong cross-functional collaboration skills; you translate technical complexity into business clarity.
• Strong business acumen: you connect data architecture decisions directly to growth, product strategy, and revenue impact.
• Comfort operating in ambiguity and proactively defining high-leverage initiatives.

Nice To Haves

• Proficiency in Python for analytics, automation, or advanced analytical workflows.
• Experience operationalizing ML outputs or advanced analytics into production workflows.
• Familiarity with feature engineering or experimentation frameworks.
• Experience with workflow orchestration tools (e.g., Airflow).
• Familiarity with GitHub and version control best practices.
• Experience mentoring analytics engineers or fostering a data-driven culture.

Responsibilities

• Architect the Unified Data Model
• Design and develop scalable, production-grade dbt models in Snowflake that serve as the single source of truth across the company.
• Build analytics-ready datasets that eliminate fragmented metric definitions and align teams around consistent KPIs.
• Establish modeling standards and conventions that scale as the company grows.
• Optimize SQL and warehouse performance to balance reliability, scalability, and cost efficiency.
• Expand and manage ingestion pipelines (Fivetran and others) to support new strategic data sources.
• Enable Experimentation & Advanced Analytics
• Partner with Product and Engineering to ensure reliable event instrumentation and clean upstream data.
• Build experimentation-ready datasets that support product iteration and growth analysis.
• Develop datasets that power predictive insights, behavioral signals, anomaly detection, and intelligent recommendations.
• Help translate analytical outputs into workflows and product experiences that drive measurable impact.
• Build Data Products That Drive Decisions
• Define and evolve north star metrics and KPI frameworks aligned with company strategy.
• Develop scalable Looker dashboards and curated data marts that enable self-serve analytics.
• Translate complex datasets into clear, actionable narratives that influence roadmap prioritization and go-to-market strategy.
• Reduce ad hoc requests by building durable, reusable analytics assets.
• Establish Governance, Quality & Trust
• Implement governance frameworks, documentation standards, and metric definitions that reduce ambiguity.
• Build automated freshness checks, anomaly detection systems, and testing frameworks within dbt.
• Strengthen data reliability, discoverability, and cross-functional trust in analytics outputs.

Benefits

• Competitive pay + generous equity (10-year exercise window)
• Fully remote (U.S. only) with a $150/month coworking stipend
• Half-day Fridays, every Friday
• 16 weeks fully paid parental leave (eligible after 6 months; commission-based roles receive 100% base salary during leave)
• Unlimited PTO with a required 2-week minimum
• Top-tier health, dental & vision (100% covered for you, 80% for dependents)
• 2 “Treat Yourself” days a year—$100 and a day off, just because
• Intentional & engaging company offsites 2x a year (past trips: Arizona, Jackson Hole, Cabo, Nashville, New Orleans & more) + a department offsite 1x per year
• And more! Check out our careers page for the full list.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed