Analytics Engineer

$90,470 - $127,530/Yr

Government Employees Health Association - Lee's Summit, MO

Full-time - Mid Level

Remote - Lee's Summit, MO

1,001-5,000 employees

Insurance Carriers and Related Activities

About the position

The Analytics Engineer at GEHA plays a crucial role in developing analytical models, datasets, and data pipelines that support business decision-making. This position collaborates closely with data analysts, data scientists, and data engineers to create solutions that enable data-driven decisions through self-service and AI capabilities. The ideal candidate will leverage their expertise in data modeling and business intelligence tools to transform raw data into actionable insights, ensuring quality and compliance with regulatory standards.

Responsibilities

• Work closely with data scientists, data analysts, and other stakeholders to understand their data needs.
• Design, build, and maintain data models, reporting systems, and data automation systems that support key business decisions.
• Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
• Develop and maintain documentation of solutions, user guides, policies, and procedures.
• Provide employee training on newly developed models.
• Optimize architecture for efficient querying and reporting.
• Mentor junior analytics engineers, conduct code reviews, and act as a resource to others to resolve problems.
• Adhere to a Data Governance first mindset and ensure that all data is managed in accordance with HIPAA, departmental and corporate guidelines.

Requirements

• Bachelor's degree in computer science, Statistics, or related field, or the foreign degree equivalent.
• PL300 certification or equivalent.
• 4+ years in BI, data science, Analytics, Data, or equivalent space.
• 4+ years' experience with relational Databases (SQL Server, DB2, Snowflake) and Data Processes.
• 4+ years building tabular and/or multi-dimensional models.
• 4+ years Power BI or equivalent data visualization tools (Tableau, Cognos, MicroStrategy).
• Strong SQL and Dax Skills.
• Experience using scripting languages (Python, R, Java, PowerShell, etc.).
• Strong analytical and problem-solving abilities.
• Knowledge of Insurance/Healthcare industry or equivalent.
• Strong written and oral communication skills.

Nice-to-haves

• Experience with cloud-based data solutions.
• Familiarity with data governance frameworks.
• Knowledge of machine learning concepts.

Benefits

• Competitive pay/salary ranges
• Incentive plan
• Health/Vision/Dental benefits effective day one
• 401(k) retirement plan with company match
• Robust employee well-being program
• Paid Time Off
• Personal Community Enrichment Time
• Company-provided Basic Life and AD&D
• Company-provided Short-Term & Long-Term Disability
• Tuition Assistance Program