Senior Data Analyst

Real HR Hero - Thompson HR Consulting•Sacramento, CA

7d•$115,000 - $143,000•Remote

About The Position

The Senior Data Analyst is a key contributor in the Analytics and Insights department, responsible for transforming complex datasets into actionable insights that inform organizational strategy and decision-making. The role leads the design, development, and delivery of data analyses, reports, and visualizations supporting internal operations and the organization's behavioral health mission. The analyst works independently and collaboratively across departments as a subject matter expert in data interpretation, quality, and methodology, and presents findings and recommendations to stakeholders at all levels. The position may oversee and mentor junior analysts and contribute to departmental data standards and best practices. The role handles sensitive datasets and may access confidential county behavioral health records, protected health information, electronic health record data, and private behavioral health information. Access must be used responsibly, with compliance with HIPAA and 42 CFR Part 2 and protection of system integrity and security. The position is work from home, with travel to the main office in Sacramento, California, or another location when necessary. The regular work schedule varies according to business needs; the company's regular business hours are 8:00 a.m. to 5:00 p.m., Monday through Friday.

Requirements

Bachelor's degree in healthcare, computer science, or a related field, and at least 6 years of qualifying healthcare data informatics/analytics experience, or an acceptable equivalent combination of education and experience.
Senior-level experience developing data analysis visualizations and supporting the data linkages to those visualizations.
Senior-level experience with data modeling and database development and management.
Ability to interpret data, analyze results using statistical techniques and coding languages, and provide ongoing reports.
Ability to identify, analyze, and interpret trends or patterns in datasets.
Ability to mentor junior analysts effectively.
Ability to multitask, prioritize work, take initiative, meet deadlines, and adapt to fluctuating workloads and competing demands.
Ability to act with a high degree of emotional intelligence.
Strong communication and management skills.
Ability to identify confidential and sensitive information and handle it with tact and discretion.
Willingness to travel to the main office in Sacramento, California, or another location when necessary.
Experience with data automation, analysis, and visualization tools such as R, Python, SAS, Excel, SPSS, SQL, MATLAB, Qualtrics, and Tableau.
Knowledge of graphic and visualization tools such as Adobe Illustrator, Photoshop, InDesign, Tableau, and Microsoft Power BI.
Ability to communicate effectively in writing and verbally with people at all organizational levels and audiences.
Ability to perform basic arithmetic using whole numbers, common fractions, and decimals.
Ability to apply common sense, follow through on daily tasks, work with little or no supervision, conduct research, and ask appropriate questions.
Ability to meet physical demands including frequently sitting and standing; using a phone, headset, and computer; typing and writing; answering phones; using a calculator; lifting and carrying materials up to 20 pounds; and having the vision, hearing, and speech needed to communicate and read materials.

Responsibilities

Design, develop, and maintain complex data models, dashboards, and reports to support organizational and program-level decision-making.
Extract, clean, and transform large datasets from multiple sources using SQL, Python, R, or similar tools, ensuring accuracy and integrity.
Conduct in-depth quantitative and qualitative analyses to identify trends, patterns, and insights relevant to behavioral health programs and operations.
Translate complex analytical findings into clear, concise summaries and visualizations for technical and non-technical audiences.
Mentor junior analysts and guide them on analytical methods, tools, and best practices.
Contribute to departmental data standards and best practices.
Handle sensitive datasets responsibly and maintain the integrity and security of systems, in compliance with HIPAA and 42 CFR Part 2.
Perform other duties as assigned.