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Description

Introduction

Do you want to join an organization that invests in you as a Senior Data Analytics Engineer? At HCA Healthcare, you come first. HCA Healthcare has committed up to $300 million in programs to support our incredible team members over the course of three years.

Benefits

HCA Healthcare offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:

+ Comprehensive medical coverage that covers many common services at no cost or for a low copay. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free AirMed medical transportation.

+ Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more.

+ Free counseling services and resources for emotional, physical and financial wellbeing

+ 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service)

+ Employee Stock Purchase Plan with 10% off HCA Healthcare stock

+ Family support through fertility and family building benefits with Progyny and adoption assistance.

+ Referral services for child, elder and pet care, home and auto repair, event planning and more

+ Consumer discounts through Abenity and Consumer Discounts

+ Retirement readiness, rollover assistance services and preferred banking partnerships

+ Education assistance (tuition, student loan, certification support, dependent scholarships)

+ Colleague recognition program

+ Time Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence)

+ Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income.

Learn more about Employee Benefits (https://careers.hcahealthcare.com/pages/employee-benefits-and-rewards)

_Note: Eligibility for benefits may vary by location._

You contribute to our success. Every role has an impact on our patients’ lives and you have the opportunity to make a difference. We are looking for a dedicated Senior Data Analytics Engineer like you to be a part of our team.

Job Summary and Qualifications

As a Senior Data Analytics Engineer, you will serve as a key contributor in driving data-informed decision-making across the organization. This role demands a deep understanding of data architecture, analytics methodologies, and business strategy. You will be responsible for analyzing and interpreting complex datasets, transforming raw data into actionable insights, and delivering scalable solutions that support strategic initiatives.

Working closely with cross-functional teams, including business stakeholders, data scientists, engineers, and product managers, you will gather and translate business requirements into robust data models and analytical frameworks.

What you will do in this role:

Data Analysis

+ Conduct in-depth analysis of structured and unstructured data using GCP tools such as BigQuery, Dataflow, and Dataprep

+ Interpret data trends, patterns, and outliers to extract meaningful insights that contribute to business objectives

Data Modeling

+ Design and implement data models to support analytical reporting and decision-making

+ Collaborate with data engineering teams to optimize data structures and ensure efficient data processing on GCP

Table and View Creation

+ Create and maintain tables in databases and data warehouses. This involves defining the schema, specifying data types, and setting constraints

+ Develop views to simplify complex queries, provide data abstraction, and improve data access for end-users and applications

Data Integration

+ Integrate data from various sources into cohesive tables and views that support reporting and analytics

GCP Tool Utilization

+ Utilize GCP services for data extraction, transformation, and loading (ETL) processes

+ Leverage GCP's advanced analytics and machine learning tools for predictive modeling and analysis

+ Utilize BigQuery to execute fast, SQL-based queries on large datasets for real-time analytics and data warehousing

+ Leverage Cloud Storage to securely store, manage, and retrieve large volumes of raw and processed data in various formats

Quality Assurance

+ Ensure the accuracy, completeness, and reliability of data through rigorous testing and validation processes

+ Collaborate with data governance teams to maintain data quality standards

Continuous Improvement

+ Stay abreast of the latest developments in GCP and other relevant technologies. Propose and implement improvements to enhance data analysis capabilities and efficiency

What qualifications you will need:

+ Bachelor's degree - Required

+ Master's degree - Preferred

+ 5+ years of relevant work experience - Required

+ 5+ years of experience in data/process/analysis - Preferred

+ Healthcare operations & clinical process workflow experience - Preferred

Knowledge, Skills, Abilities:

+ Demonstrated broad SQL development experience with solid understanding of relational and multi-dimensional designs. Required

+ ML and AI technologies Preferred

+ Experience with GCP & BigQuery and/or other cloud technologies Preferred

+ GCP Data Analyst Certified Preferred

Work Location/Schedule:

+ Nashville, TN area (near Centennial Park)

+ Hybrid – 3 days in office

Travel Required:

+ Occasional Travel: The job may require travel from time- to-time, but not on a regular basis.

Visa Sponsorship:

+ Not offered, now or in the future

"Good people beget good people."- Dr. Thomas Frist, Sr.

HCA Healthcare Co-Founder

We are a family 270,000 dedicated professionals! Our Talent Acquisition team is reviewing applications for our Senior Data Analytics Engineer opening. Qualified candidates will be contacted for interviews. **Submit your resume today to join our community of caring!**

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.