Analytics Engineer

Analytics Engineer Leoforce

• 3.0 Westchester, CA Job Details $40
• $73 an hour 1 day ago Benefits Health insurance Dental insurance Flexible spending account Tuition reimbursement Vision insurance Employee discount Gym membership Retirement plan Qualifications Performance dashboard reports Data integrity assurance Healthcare industry (data warehouse design) Commercial use (data warehousing systems) Cloud analytics services Data visualization software proficiency Data Integration (Data management) Managed care Data validation techniques Managed care organization experience Dashboard creation Regulatory reporting Business intelligence report generation Dashboard creation support Compliance reporting SQL ETL process automation Business intelligence tools Health information data integrity Health information management AI-driven automation Python Data analytics technologies Database software proficiency

Full Job Description Experience:

Senior Level Salary:

$40

• $73 per hour Job Details
• The Consulting Analytics Engineer is a pivotal role in our healthcare organization, operating at the intersection of data engineering, business intelligence, and applied AI.

This role ensures that our data solutions are accurate, governed, scalable, and aligned with our organizational strategy. As an integral part of our team, you will design and maintain analytic-ready datasets, lead the development of enterprise DataMarts, and build and optimize data pipelines leveraging Databricks and enterprise data platforms.

Responsibilities:

Design and maintain analytic-ready datasets and lead the development of enterprise DataMarts (e.g., ODAG, Timeliness, Risk Adjustment) ensuring alignment with standardized business definitions and CMS-driven logic. Build and optimize data pipelines leveraging Databricks and enterprise data platforms. Integrate data from multiple sources including Epic Clarity, Tapestry, claims, and external vendors. Develop and maintain Tableau and Power BI dashboards aligned to DSS standards. Leverage Python for data transformation, automation, and advanced analytics workflows. Partner in developing AI-driven data products that enhance operational decision-making. Support the transition toward automated data pipelines and AI-enriched datasets.

Qualifications:

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).

A bit about us:

• Prestige Hospital System Exceptional Health Care #1 in both California and Los Angeles
• in a broad assessment of excellence in hospital-based patient care. "Best Hospitals" National Honor Roll 35 consecutive years Mission and Vision Our mission is to deliver leading-edge patient care, research, education and community engagement. Our vision is to heal humankind, one patient at a time, by improving health, alleviating suffering and delivering acts of kindness. Why join us?
• Competitive Salary$$ Variety of benefits and perks designed to support your well-being and professional growth.

Here are some of the key benefits:

Health and Medical Benefits:

Comprehensive health plan options, including medical, dental, and vision coverage, as well as flexible spending accounts to offset medical costs.

Retirement Benefits:

Retirement plans to help you secure your financial future.

Tuition Benefits:

Free tuition for yourself or an immediate family member after two years of employment.

Time Off:

Paid and unpaid time off for vacation, personal health, and family care.

Well-being Programs:

Resources to support your physical, mental, and spiritual health.

Employee Discounts:

Discounts on sports tickets, gym memberships, event tickets, and more.

Professional Development:

Opportunities for growth and development through various training programs and resources. If you are passionate, thrive in a fast-paced environment and are ready to take your career to the next level, we would love to hear from you. #healthcare #sql-hands-on-experience-building-etl-elt-pipelines-databricks-azure-data-lake-or-similar #healthcare-data-experience-epic-clarity-claims-cms-hedis-or-managed-care-datasets #bi-visualization-experience-tableau-and-or-power-bi-with-ability-to-build-analytic-ready-datasets #tier1