About
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. We are seeking a Software Quality Assurance Tester who will play a crucial role in ensuring the quality and functionality of our Commerce flows. Responsibilities: Corporate metrics + modeling (dbt + Databricks) 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. Executive dashboards + semantic model ownership (Power BI) 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. 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. 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. 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 family medical, dental, vision, and life insurance 3 company-paid holidays per year in addition to regular holidays 4 days of paid time off (PTO) per year Paid time off (PTO) on your birthday Law benefits (15-day Christmas bonus, vacation days established by law, 25% vacation bonus) Awards and recognition program
Languages
- English
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