Analytics Engineer

Elevateprimesolutions; Los Angeles (CA); Hybrid; USD 110,000 - 140,000; Full time

Job summary

Elevateprimesolutions is seeking an Analytics Engineer based in Los Angeles, who may work remotely but should come to the LAX office monthly. This role requires 5-8+ years of experience in data analytics and a strong background in SQL and modern data platforms like Databricks.

Responsibilities include designing analytic-ready datasets, optimizing data pipelines, and developing enterprise DataMarts to support operational analytics. The company values proficiency in Python, Tableau, and Microsoft Power BI for impactful data visualization.

Qualifications

• 5–8+ years of experience in data analytics, business intelligence, or data engineering.
• Proven experience designing and developing analytic-ready datasets.
• Hands-on experience with data lake or modern data platforms.
• Strong experience with SQL-based data transformations.
• Experience building dashboards and data visualizations.
• Experience using Python for data processing and analytics.

Responsibilities

• Design and maintain analytic-ready datasets.
• Lead development of enterprise DataMarts.
• Build and optimize data pipelines leveraging Databricks.

Skills

Data analytics

Business intelligence

Data engineering

SQL

Python

Tableau

Microsoft Power BI

Tools

Databricks

Azure Data Lake

Snowflake

Job description

Can be remote, but if person lives near by LA and can commute to our LAX office, we require them to come once a month for a monthly team meeting.

Job Description:

This Analytics Engineer role operates at the intersection of data engineering, business intelligence, and applied AI, ensuring data solutions are accurate, governed, scalable, and aligned with organizational strategy.

Data Architecture & DataMart Development

• Design and maintain analytic-ready datasets
• Lead development of enterprise DataMarts (e.g., ODAG, Timeliness, Risk Adjustment)
• Ensure alignment with standardized business definitions and CMS-driven logic
• Partner with Managed Care, Finance, and Operations to stabilize and operationalize requirements

Data Pipeline & Data Lake Enablement

• Build and optimize data pipelines leveraging Databricks and enterprise data platforms

Requirements

• 5–8+ years of experience in data analytics, business intelligence, or data engineering within Epic healthcare, managed care, data environment
• Proven experience designing and developing analytic-ready datasets and enterprise DataMarts supporting reporting and operational analytics
• Hands‑on experience working with data lake or modern data platforms such as Databricks, Azure Data Lake, or Snowflake
• Strong experience developing and optimizing SQL-based data transformations across large, complex datasets
• Demonstrated experience building dashboards and data visualizations using Tableau and/or Microsoft Power BI
• Experience using Python for data processing, automation, and analytics workflows
• Experience building and maintaining ETL/ELT pipelines, including data ingestion, transformation, and validation
• Exposure to AI/ML or LLM-based use cases, including data summarization, classification, or insight generation
• Experience working with healthcare data domains such as claims, enrollment, provider data, or electronic health records (Epic Clarity preferred)
• Experience supporting regulatory or audit-driven reporting (e.g., CMS, HEDIS, Medicare Advantage)

Interested candidate please share your resume at [e-mail]