Data Analytics Engineer

Role Description

The Data Analytics Engineer bridges the gap between raw data and business insights by designing, building, and governing analytics-ready data assets across the P&C insurance value chain - Underwriting, Actuarial, Claims, Product, Distribution, and Finance - and all lines of business (Personal, Commercial, and Farm). Translating insurance business logic into governed, scalable data models, the Data Analytics Engineer partners with stakeholders to deliver trusted reporting and analytics solutions and plays a key role in advancing Mutual of Enumclaw's Snowflake-based medallion architecture and enabling data-driven decision-making across the company.

Location: Remote, with preference given to those residing in WA, OR, ID, MT, WY, AZ, or UT. (Candidates must be able to work during our core Pacific Standard Time business hours and have high-speed internet – an internet speed test is required.)

Hiring Range: $140,891 - $157,545

Salary Range: $140,891 - $171,631

*The hiring range represents Mutual of Enumclaw’s current hiring pay scale for this role. Mutual of Enumclaw reserves the right to modify or update this range any time. Exact compensation may vary based on skills and experience. Compensation is only one part of our entire total rewards package.

Responsibilities

• Supervisory Responsibilities: None.
• Business Partnership & Delivery:
  • Partner with stakeholders across Product, Actuarial, Underwriting, Claims, Finance, and Distribution to gather requirements and define KPIs, reporting needs, and data specifications.
  • Design, build, and maintain dashboards, reports, and visualizations in Sigma, Power BI, or equivalent BI platforms that deliver trusted insights to underwriters, actuaries, claims leaders, distribution partners, and executive leadership.
  • Translate business needs into scalable data solutions, dashboards, and analyses that support strategic and operational decision-making.
  • Support recurring and ad hoc reporting, including financial, operational, and executive reporting.
• Data Modeling & Engineering:
  • Design, build, and maintain data models, transformations, and semantic layers within a Snowflake-based medallion architecture.
  • Develop scalable, testable data pipelines using SQL and dbt (or equivalent tools).
  • Integrate data from internal and external sources (e.g., policy systems, Salesforce, HubSpot).
  • Enable self-service analytics by designing semantic layers and certified data products that allow business users to answer their own questions without engineering intervention.
• Data Governance & Quality:
  • Define and enforce data governance standards, including data definitions, access controls, and metadata management.
  • Validate and test data outputs to ensure accuracy and reliability.
  • Monitor data performance and continuously improve data products based on user feedback.
• Agile Delivery & Support:
  • Collaborate with Product Owners and participate in Agile ceremonies (planning, refinement, sprint reviews).
  • Define acceptance criteria and deliver high-quality data products.
  • Provide production support and troubleshoot data/reporting issues as needed.

Qualifications

• P&C insurance industry experience required, with demonstrated understanding of the insurance value chain from underwriting through claims and fluency in core insurance concepts, terminology, and reporting metrics.
• Strong experience designing, building, and publishing dashboards and reports in Sigma, Power BI, or equivalent BI platforms, including data modeling for self-service consumption required.
• Strong experience with cloud data warehouses (Snowflake preferred) and transformation tools such as dbt.
• Proficiency in SQL; working knowledge of Python or similar scripting languages preferred.
• Solid understanding of dimensional modeling, ELT processes, and modern data architectures (e.g., medallion/lakehouse).
• Experience building or migrating to a modern data platform (e.g., legacy data warehouse to Snowflake/medallion architecture) preferred.
• Knowledge of data integration methods (APIs, flat files, semi-structured data) and cloud platforms (AWS or equivalent).
• Strong communication skills with the ability to translate technical concepts for business audiences.
• Experience working in Agile environments.

Education and Experience

• Bachelor’s degree in data science, computer science, statistics, or a related field (or equivalent experience).
• 5+ years of experience in data analytics, data engineering, or related roles.
• Experience working with data systems, pipelines, and reporting solutions.
• Experience in P&C insurance and familiarity with insurance data and metrics required (e.g., premium, loss, reserving).
• Working knowledge of insurance source systems such as Guidewire (PolicyCenter, ClaimCenter, BillingCenter), POINT, Duck Creek, or equivalent policy and claims administration platforms preferred.

Physical Requirements

• Prolonged periods of sitting at a desk and working on a computer, including video conferencing.