freshpaint - Senior Analytics Engineer
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Requirements
• We’re looking for a Analytics Engineer who thinks in systems, not dashboards — someone who sees messy, fragmented data and instinctively starts designing the structure that makes it usable, reliable, and scalable. • You’re at your best when you’re building foundations that others depend on. You don’t just answer questions — you eliminate the need to ask them twice. You care deeply about data quality, consistency, and trust, and you hold a high bar for how data is modeled, documented, and used across a company. • You operate with leverage in mind. Instead of reacting to ad hoc requests, you build durable data assets that scale across teams and reduce friction over time. You’re comfortable working across Product, Engineering, and GTM, translating real-world problems into clean, well-defined data models. • You’re equally comfortable going deep in SQL/dbt as you are stepping back to define standards, governance, and long-term architecture. And most importantly, you measure success not by output, but by how much faster and more confidently the business can move because of your work. • 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. • 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
• 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. • If you love rigid process and need a lot of step-by-step guidance, this role thrives in ambiguity and requires proactive ownership. • We take care of our team—here’s a peek at what you get when you join: • 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 https://www.freshpaint.io/about?gad_source=1&gclid=Cj0KCQjwncWvBhD_ARIsAEb2HW9vl4BJz91ApZqNNlJJ6kDO1E-BhAaIuP-_t08tS6X2_Wpoj8qHaCIaAmysEALw_wcB&hsa_acc=2262337429&hsa_ad=673054100615&hsa_cam=12072412058&hsa_grp=119258989111&hsa_kw=freshpaint+platform&hsa_mt=b&hsa_net=adwords&hsa_src=g&hsa_tgt=kwd-2154402015807&hsa_ver=3&utm_campaign=ML_Freshpaint_Brand&utm_medium=cpc&utm_source=google&utm_term=freshpaint+platform for the full list.
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