Senior Data Analytics Engineer

HCA Healthcare • Nashville, TN • 1d ago

Description

Introduction

Do you have the career opportunities as a(an) Senior Data Analytics Engineer you want with your current employer? We have an exciting opportunity for you to join HCA Healthcare which is part of the nation's leading provider of healthcare services, HCA Healthcare.

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.

Our teams are a committed, caring group of colleagues. Do you want to work as a(an) Senior Data Analytics Engineer where your passion for creating positive patient interactions is valued? If you are dedicated to caring for the well-being of others, this could be your next opportunity. We want your knowledge and expertise!

Job Summary

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.

Major Responsibilities:

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

Education & Experience:

Bachelor's degree Required

Master's degree Preferred

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

Healthcare operations & clinical process workflow experience Preferred

5+ years of relevant work experience is required Required

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 technologiesPreferred

GCP Data Analyst Certified Preferred

Additional Information:

Role is in person and requires one to be in the Greater Nashville, TN Area

"Bricks and mortar do not make a hospital. People do."- Dr. Thomas Frist, Sr.

HCA Healthcare Co-Founder

If you are looking for an opportunity that provides satisfaction and personal growth, we encourage you to apply for our Senior Data Analytics Engineer opening. We promptly review all applications. Highly qualified candidates will be contacted for interviews. Unlock the possibilities and apply today!

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.

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