Data Analytics Engineer
1 month ago
Job Title: Data Analytics Engineer
Location: Hybrid On-Site 2 days/week in Golden, CO
Pay: $110-125k
Day-to-day:
This person will support our client's ongoing growth; we are seeking a highly skilled and motivated Data Analytics Engineer. In this pivotal role, you will transform raw data into actionable insights that drive key decisions, shaping the future of our business. You will collaborate closely with company leaders to develop, maintain, and optimize our data pipelines, analytics frameworks, and reporting solutions, enhancing overall performance and efficiency across the organization.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and ETL processes to manage large volumes of structured and unstructured data
- Collaborate with data engineers, analysts, and business stakeholders to understand data requirements and translate them into actionable technical solutions
- Build and optimize data models for efficient data storage, retrieval, and analysis
- Implement and manage data governance practices to ensure data quality, accuracy, and consistency across all sources
- Collaborate and help to develop and maintain dashboards, reports, and data visualizations that provide actionable insights to various leadership teams
- Standardize data from various operational systems (EHR, Finance, Marketing CRM, and other databases) into models for business scorecards and management dashboards
- Develop and maintain dashboards, reports, and data visualizations that provide actionable insights to various teams.
- Monitor and troubleshoot data pipelines to ensure timely and accurate data delivery.
Must-haves:
- ~5+ years' experience
- Bachelor’s degree in Data Analytics, Data Science, Computer Science, or related field
- Proven experience in Data/Business Analysis
- SQL Proficiency (3+ years)
- Strong understanding of data modeling, ETL processes, and data warehousing concepts.
- Must be comfortable and confident in project ownership rather than being assigned tasks to follow
- Excellent communication skills with a history of interfacing with executives and clients
- Willingness to travel: 1 week/Quarter to St. Louis, Missouri (plus limited ad-hoc travel)
- Strong organizational skills with a focus on clear documentation
- DBT knowledge/expertise OR eagerness to learn & implement
Plusses:
- Snowflake
- Power BI or Tableau
- Experience with healthcare data, specifically claims data protected by HIPAA
- Knowledge of machine learning techniques and their application in data analytics
- Familiarity with version control systems (e.g., Git)
- Comfort working in an AGILE development environment
- Experience with Python programming
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