Freshpaint Logo

Freshpaint

Senior Analytics Engineer

Posted Yesterday
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
The Senior Analytics Engineer will architect a unified data model, develop scalable dbt models, enhance data governance, and enable advanced analytics for strategic decisions.
The summary above was generated by AI
About Freshpaint:

Healthcare is a $4+ trillion industry in the U.S. alone, and it’s undergoing a rapid digital transformation.

Hospitals, digital health companies, and life sciences organizations rely on analytics and advertising tools to reach patients, measure performance, and grow. But those tools weren’t built for regulated healthcare data. That creates real compliance risk and forces teams to choose between growth and privacy.

Freshpaint eliminates that trade-off.

We’re a privacy-first data platform that helps healthcare organizations use modern marketing and analytics tools without exposing protected health information (PHI). Freshpaint sits between a company’s website or app and the third-party tools they use, automatically detecting and controlling sensitive data before it’s shared.

In short: we let healthcare teams move fast, safely.

Backed by Top Investors

Freshpaint is backed by some of the most respected names in technology, including:

  • Y Combinator (OpenAI, Stripe, Airbnb, Coinbase, DoorDash)

  • Intel Capital (Broadcom, Astera Labs, VMware, RedHat, MongoDB)

We’ve raised tens of millions of dollars in funding to build the privacy infrastructure layer for healthcare’s digital future.

About the Role

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.

What You’ll DoArchitect 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.

What You Bring
  • 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 Have
  • 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.

Why You Shouldn’t Apply
  • If you love rigid process and need a lot of step-by-step guidance, this role thrives in ambiguity and requires proactive ownership.

Perks & Benefits

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 for the full list.

Top Skills

Airflow
Dbt
Fivetran
Git
Looker
Python
Snowflake
SQL

Similar Jobs

12 Days Ago
Easy Apply
In-Office or Remote
Singapore, SGP
Easy Apply
Senior level
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Design and develop a Go-based instrumentation service for GitLab, ensuring data integrity and supporting product development teams with analytics and instrumentation capabilities.
Top Skills: GoGrpcRestRuby On Rails
Yesterday
Remote or Hybrid
Senior level
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The role involves designing data pipelines, developing metrics and visualizations, collaborating with teams to track product KPIs, and ensuring data integrity within a cybersecurity environment.
Top Skills: AirflowAWSAzureCassandraDbtElasticsearchETLGoGCPKafkaOracle CloudPostgresPythonRedisSQLTableau
13 Days Ago
Easy Apply
Remote or Hybrid
Easy Apply
Senior level
Senior level
Fintech • Information Technology • Software • Financial Services
The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.
Top Skills: BigQueryDbtFivetranSQL

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account