Healthcare Senior Database Analyst

At Lifescale Analytics, we help achieve data driven decisions by leveraging strategic technologies to create innovative solutions, that ultimately help our clients to navigate their ever-changing data landscape. We have an opportunity for a Senior Database Analyst. Candidates MUST BE Onsite in Tallahassee; FL. Telecommuting will not be considered Travel and relocation expenses will not be covered by the client or employer. This job is to be performed 100% onsite during business hours defined as Monday through Friday, 8 a.m. to 5 p.m. Eastern Time (ET).

Applicants responding to this position must be a US Citizen or Greencard Holder and will be subject to a background check and drug screen. Must have lived in the US for the past 5 years.

The Employer will not sponsor applicants for any employment visas, at hiring or in the future, including but not limited to H-1B, EAD or OPT visas. Corp-to-Corp or subcontract personnel will not be considered for this position.

Scope of Services:

At a minimum, the position shall:

• Analyze Medicaid claims, eligibility, provider, and encounter data to identify trends, anomalies, and opportunities for improvement.
• Support program evaluation, policy analysis, and operational decision-making through data insights.
• Design and maintain dashboards and reports using tools like Power BI or Tableau. Present findings to stakeholders in a clear, actionable format.
• Work with internal teams, external partners, and leadership to define data needs and deliver solutions. Present findings to stakeholders in a clear, actionable format.
• Ensure all work aligns with Agency’s regulations, including HIPAA and state data governance standards. Document methodologies, data sources, and assumptions for transparency and reproducibility.
• Support special projects, audits, and federal reporting initiatives as needed.
• Assist in the development of technical documentation for recurring reports, data pipelines, and reporting logic to ensure consistency and knowledge transfer.
• Develop and validate data extracts for federal and state reporting requirements, including CMS submissions and performance metrics.
• Apply machine learning methods where appropriate to improve forecasting and risk stratification models.
• Perform other duties as required.

Education:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.

Required Knowledge, Skills & Abilities:

Minimum Required Qualifications:

• Five (5) or more years of experience in data analysis, preferably in healthcare or Medicaid.
• Strong proficiency in SQL/SAS, with working knowledge of Python for data manipulation, analysis, and automation tasks.
• Three (3) years of experience with data visualization tools such as Power BI, Tableau, or similar platforms for building dashboards and reports.
• Strong understanding of healthcare data, especially Medicaid or claims-based data.
• Excellent communication skills and ability to present complex data to non-technical audiences.

Preferred Qualifications:

• Experience working with state or federal healthcare programs.
• Knowledge of Medicaid managed care, long-term services and supports (LTSS), or waiver programs.
• Familiarity with cloud-based data platforms (e.g., Azure, AWS).
• Experience with machine learning or advanced statistical modeling.

Who we are:

Lifescale Analytics, a small business that provides specialized expertise in data and analytics. Since formed in 2012, the Lifescale Analytics team has years of experience providing a spectrum of customized data management services and solutions including Data Management/Analytics, Big Data Solutions, Cloud Services, Business Intelligence and Data Science that focuses on building strong portfolios and programs. Through experience and innovation, we allow businesses, pharmaceutical companies, financial institutions, and government agencies to manage and proactively make decisions based on their biggest asset, their data. Our specialists are skilled at managing, refining, analyzing, or visualizing information for the specific purpose of increasing the value of IT to benefit from the data science industry.

For more information, please visit our website at www.lifescaleanalytics.com