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Lead Analytics Engineer - Power BI, Databricks, Python, SQL

Mercy
Mercy Salary
Chesterfield, MO Full Time
POSTED ON 11/27/2025
AVAILABLE BEFORE 1/27/2026
Find your calling at Mercy!

The Lead Analytics Engineer is the primary technical lead on major analytics initiatives. This role leads development efforts, defines engineering standards, and ensures the delivery of high-quality, enterprise-grade data solutions. The Lead Analytics Engineer mentors others, aligns technical efforts with business goals, and plays a central role in scaling analytic capabilities across the organization.

Position Details:

Lead Analytics Engineer

Power BI, Databricks, EPIC, Python, SQL

Mercy Enterprise Analytics

*Please note that as of the posting date of this job announcement, Mercy is unable to offer immigration sponsorship or visa assistance for this position. We encourage all eligible candidates, including U.S. citizens, permanent residents, and those with existing work authorization, to apply.

The Lead Analytics Engineer is the primary technical lead on major analytics initiatives. This role leads development efforts, defines engineering standards, and ensures the delivery of high-quality, enterprise-grade data solutions. The Lead Analytics Engineer mentors' others, aligns technical efforts with business goals, and plays a central role in scaling analytic capabilities across the organization.

Qualification(s):

  • Education: Degree in computer science, software engineering, data analytics, technology, or related field experience.

  • Experience: Eight (8) years of relevant technical or business work experience or knowledge.

Preferred Qualification(s):

Analytical Tools and Decision Intelligence


* Serve as the primary developer on automated data driven decision intelligence processes.
* Creates and maintains visualizations, dashboards and reports using tools such as Power BI, Databricks, Power Apps, EPIC Cogito, or others to enable data-driven decision-making.
* Define and enforce standards, including CI/CD and testing practices.
* Translate business needs into scalable analytic solutions.
* Serves as lead resource for dealing with highly complex technical and/or business issues.


Data Infrastructure Development


* Serve as the primary developer on major analytics projects, building and maintaining core data pipelines using Python and SQL on cloud platforms.
* Serve as the primary developer on major analytics projects, building and maintaining core semantic models and data products.


Collaboration and Communication


* Works with business stakeholders to understand their analytics needs and deliver comprehensive analytic products.
* Collaborates with architects and senior stakeholders to deliver technical solutions.
* Guide and support development efforts across multiple engineers, including code reviews and technical onboarding.
* Utilizes data visualization and narrative techniques to effectively communicate insights and tell compelling stories that drive decision-making and business strategies.

Community of Practice


* Provides education, training, and works with citizen developers and analytic consumers.
* Supports democratizing data and enabling business users to conduct self-service analytics leveraging AI analytics tools.


Data Governance and Compliance


* Works with governance stewards to maintain data dictionaries, metadata, and data lineage.

Mercy Key Benefits:

  • Tuition Reimbursement up to $2,000 for continuing education
  • Health/Dental/Vision available after day one
  • Annual contribution of $100 per month to eligible co-workers enrolled in the Dependent Care FSA
  • Paid parental leave for new parents
  • 401k with employer match
  • Paid PTO for volunteering
  • Competitive salary
  • Future career growth!

Find us at:

Facebook|LinkedIn|Instagram|mercy.net|Mercy Careers

EEO/AA/Minorities/Females/Disabled/Veterans

Why Mercy?

From day one, Mercy offers outstanding benefits - including medical, dental, and vision coverage, paid time off, tuition support, and matched retirement plans for team members working 32 hours per pay period.

Join a caring, collaborative team where your voice matters. At Mercy, you'll help shape the future of healthcare through innovation, technology, and compassion. As we grow, you'll grow with us.



keyword(s): Power BI, Databricks, EPIC Cognito, Python, SQL on clouds

 

Salary : $100

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