Senior Data Analyst
At a glance
Senior Data Analysis & BI role at Analytica. Remote · full-time.
Pay not stated Data Analyst salary
remoteroles summary, based on the employer's posting.
What you'll do
- Build models that flag unusual billing, utilization, vulnerabilities and risks across Medicare and Medicaid programs
- Examine provider claims patterns and check models and analytical solutions for quality
- Set data needs with clients and project teams, then resolve issues that arise in the data
- Advise teams on statistical methods, document findings and present recommendations to customers
- Track billing-rule compliance and assess new modeling methods and analytical approaches
What you bring
- A degree in data analytics, statistics, health policy, public health or a related field
- Strong SQL skills with large claims datasets, plus the ability to explain how joins and filters change record counts
- Proficiency in Python and experience building machine-learning models, including anomaly detection
- Hands-on experience with Databricks and strong grounding in statistical programming practices
- U.S. citizenship and eligibility to obtain and retain Public Trust clearance
Who this fits
This remote senior role suits someone with healthcare claims experience, especially with Medicare or Medicaid data, who can explain technical findings to clients and project teams. A master's degree is preferred.
From the employer
Analytica is seeking a Senior Data Analyst with Medicare and/or Medicaid policy and claims data experience to support the development of advanced analytical solutions that identify aberrant provider billing and utilization patterns. The ideal candidate will bring strong SQL and Python skills, experience working with large healthcare claims datasets, and knowledge of statistical and machine learning techniques.
Analytica has been recognized by Inc. Magazine as a fastest-growing private US small business. We work with U.S. government customers in health, civilian, and national security missions. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.
Key Responsibilities
- Gather and define data requirements and resolve data-related challenges in collaboration with client and project teams.
- Develop and refine data models to identify vulnerabilities, anomalous activity, and potential risks within Medicare and Medicaid programs.
- Analyze provider billing and utilization patterns using large healthcare claims datasets.
- Consult and advise on data analysis, statistical modeling, and analytical techniques.
- Research and evaluate new modeling methods, tools, market trends, and proven approaches.
- Develop white papers and other documentation outlining analytical methods and findings.
- Monitor compliance with Medicare and Medicaid billing requirements.
- Perform testing and quality assurance for data models and analytical solutions.
- Research emerging data concepts, technologies, and analytical approaches.
- Communicate directly with customers and present findings, recommendations, and results to project teams and stakeholder groups.
Required Qualifications
- Bachelor’s or Master’s degree in Data Analytics, Statistics, Health Policy, Public Health, or a related field. Master’s degree preferred.
- Experience working with healthcare experience; Medicare and/or Medicaid data highly preferred
- Strong SQL skills working with large claims datasets, including the ability to trace joins and filters and clearly explain changes in record counts.
- Proficiency in Python.
- Strong knowledge of statistical programming concepts and best practices.
- Experience developing machine learning models, including anomaly detection techniques such as Isolation Forest.
- Experience with Databricks
- Strong communication skills with the ability to present technical concepts and analytical findings to clients and project teams.
- US Citizenship & the ability to obtain and maintain Public Trust clearance
Preferred Qualifications
- Program integrity experience.
- Experience with MLflow and MLOps practices.
- Experience with Esri or other geospatial mapping and analytics tools.
- Experience with Tableau and data visualization techniques.
- Ability to read and interpret SAS code.
Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.
To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.
- Application Review: AI tools may help identify skills and experiences relevant to the role.
- Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.
These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.
By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.
When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.
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