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Senior Analyst, Data & Analytics - Onsite based in Dallas, TX

Conifer Health Solutions
Full-time
On-site
Dallas, Texas, United States
IT/Tech
Description

This position provides timely, reliable, and actionable analytical solutions to hospital and ambulatory operators. The Senior Analyst will serve as a key SQL and analytics expert within the Data & Analytics team, supporting clinical, operational, quality, and financial decision-making through advanced querying, automation, and data quality practices.

Job Responsibilities

This role includes, but is not limited to, the following responsibilities:

  • Design, develop, and maintain automated, stable, and scalable BI and analytics solutions using SQL-driven data models to support clinical and operational priorities related to quality, safety, and performance.
  • Write and optimize complex SQL queries, stored procedures, and functions to extract, transform, and analyze data from enterprise data warehouses and source systems.
  • Develop and maintain SQL scripts and automated jobs (e.g., scheduled processes, refresh routines, data pipelines) to support recurring reporting and analytics needs.
  • Perform data cleansing, validation, and transformation to ensure accuracy, consistency, and reliability of analytical datasets.
  • Identify the most efficient data sources and develop standardized analytical datasets, metrics, and statistical algorithms for quality, patient experience, volume, and financial measures.
  • Ensure data integrity by collaborating closely with the Tenet EDW/BI team on database structures, data definitions, interfaces, and data quality standards.
  • Build and enhance dashboards, reports, and user interfaces using tools such as Business Objects and Power BI, with a strong SQL foundation supporting all reporting layers.
  • Define problem statements, analytical scope, development timelines, and strategic prioritization in partnership with senior leaders and key stakeholders.
  • Translate complex SQL-based analyses into clear, actionable insights for hospital and ambulatory operators.
  • Train and educate end users on how to effectively interpret and use reports, dashboards, and underlying metrics.
  • Participate in team initiatives and support additional analytics deliverables as needed.

Skills and Qualifications

  • Bachelor’s degree required in finance, economics, statistics, computer science, or a related field
  • Master’s degree preferred
  • 5+ years of experience in data analytics, reporting, or a healthcare analytics environment
  • Advanced SQL expertise, including complex queries, joins, stored procedures, functions, and performance tuning
  • Hands-on experience developing SQL scripts for automation, scheduled jobs, and recurring data processes
  • Strong experience with data cleansing, transformation, and validation within large relational databases
  • Proficiency with data visualization and reporting tools such as Business Objects and Power BI
  • Experience with statistical and analytical tools such as R and/or SAS; Python scripting experience is a plus
  • Strong technical skills with an emphasis on working with large, complex datasets
  • Proficient in Microsoft Office Suite (Word, Excel, Access, PowerPoint, Visio)
  • Strong project management, communication, and collaborative problem-solving skills
  • Ability to manage multiple projects simultaneously in a fast-paced environment


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