About Logos

Logos is a purpose-driven tech company dedicated to building technology solutions that equip the Church to grow in the light of the Bible. Our team is committed to increasing biblical literacy and accessibility for every Christian around the world. We do so by delivering value along three fronts: software tools, community collaboration, and rich digital content. Logos’ solutions portfolio connects users to the Word and to their communities. Based in Bellingham, Washington, Logos also has operations in Chandler, Arizona and Puebla, Mexico.

About The Role

We’re hiring an Analytics Engineer to own our corporate reporting “source of truth”—the models and dashboards leaders rely on to run the business. This role blends reliable, governed reporting with a clear growth path into data science-style analysis over time. You’ll build and maintain curated data models in Databricks, ensure data quality with Elementary, and publish trusted executive-ready dashboards in Power BI. As the foundations stabilize, you’ll increasingly partner with stakeholders to answer “why is this happening?” and to develop more advanced analysis (and eventually lightweight predictive work) where it creates clear business value.

Responsibilities

1) Corporate metrics + modeling (dbt + Databricks)

• Build and maintain dbt models (marts and intermediate layers) in Databricks that power corporate reporting.
• Translate business requirements into clear model design: grain, conformed dimensions, and scalable KPI logic.
• Create and maintain strong documentation in dbt (descriptions, lineage, and model intent) so others can build on your work.

2) Executive dashboards + semantic model ownership (Power BI)

• Own the Power BI semantic model and the dashboards used by senior leaders and functional teams.
• Build and maintain DAX measures that are consistent, performant, and aligned to agreed definitions.
• Ensure dashboards are “executive-ready”: intuitive navigation, trustworthy totals, and clear drill-down paths.

3) Data quality + operational excellence (Elementary)

• Implement and maintain Elementary tests and monitoring for freshness, volume, schema changes, and key metric integrity.
• Investigate discrepancies and incidents (“numbers don’t match”, refresh failures, pipeline changes) and drive resolution.
• Improve reliability through automation, documentation, and repeatable runbooks.

4) Analytics that matures toward data science (SQL + Python)

• Use SQL and Python to answer business questions beyond dashboards: segmentation, cohorts, funnel analysis, churn drivers, onboarding performance, and product usage patterns.
• Create repeatable analysis patterns (not just one-off notebooks): reusable queries, vetted datasets, and documented methods.
• Over time, contribute to more advanced work such as forecasting, propensity/risk scoring, and experimentation support where it’s practical and valuable.

5) Cross-functional partnership and clarity

• Collaborate with Finance, Product, Marketing, Sales Ops, and Engineering to reconcile definitions and edge cases.
• Communicate tradeoffs clearly: what’s known, what’s assumed, and what needs follow-up in source systems or upstream pipelines.
• Help establish and reinforce standards for corporate reporting so teams can move faster with less confusion.

Requirements

• Strong experience with SQL (complex joins, window functions, performance tuning, and debugging).
• Strong experience with Python for analysis (data wrangling, validation, notebooks, basic modeling workflows).
• Hands-on experience with Databricks (Delta tables, notebooks/jobs, working with large datasets).
• Experience building and maintaining Power BI dashboards and semantic models (DAX, modeling, performance).
• Comfort owning production-grade reporting: reliability, stakeholder expectations, and ongoing iteration.

Preferred Requirements

• Familiarity with Elementary (or equivalent data observability/testing tools).
• Statistics foundation (confidence intervals, sampling bias, regression basics, experimentation literacy).
• Experience with SaaS metrics (retention, churn, ARR/MRR, cohorts, conversion funnels).
• Experience operationalizing analysis (scheduled outputs, monitored metrics, version control, basic CI practices).

Benefits

• Competitive medical, dental, and vision insurance
• Company-paid basic life, long-term, and short-term disability
• Flexible paid time off
• 10 company-paid holidays per year
• 4 weeks' paid sabbatical after 10 years of service with an additional stipend
• Paid maternity and paternity leave policy
• Health Savings Account and Flexible Spending Account options
• 401(k) plan (Includes an employer match of up to 4%)
• Awards and recognition program

The U.S. base salary for this full-time position ranges from $100K - $110K annually. Logos salary ranges are determined by role, position level, and location. The range displayed on each remote job posting reflects the minimum and maximum target for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Note: Currently, we are able to hire in every state in the United States except for the District Of Columbia.