This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Consultant Data Analyst (Public Trust) in the United States.
In this role, you will be a key contributor to data-driven decision-making by analyzing complex datasets and providing actionable insights that support clients’ operational and strategic objectives. You will work with cross-functional teams to elicit requirements, transform and cleanse data, and create robust analytical models that drive measurable impact. This position involves leveraging SQL, Python, and data visualization tools to interpret and present findings to both technical and non-technical stakeholders. You will operate in a fast-paced, collaborative environment, balancing multiple priorities while maintaining high standards of quality. Your expertise will support projects related to healthcare, including Medicare and Medicaid analytics, and contribute to shaping informed business strategies. This role requires a detail-oriented, analytical professional who thrives on solving challenging problems and delivering client value.
Accountabilities:
- Perform ad hoc and routine analytics on prescription drugs, Durable Medical Equipment (DME), and healthcare datasets.
- Collaborate with business users, auditors, investigators, and evaluators to understand requirements and operationalize business questions using data.
- Build, review, and QA complex SQL queries and Python scripts to extract and transform data from large, complex databases.
- Develop dashboards and visualizations to communicate insights and support decision-making.
- Interpret data, identify trends, and provide recommendations to stakeholders at all levels.
- Document analytical processes, maintain data integrity, and ensure reproducibility of results.
- Design conceptual data models, entity relationship diagrams, and business process models to support project objectives.
- Apply subject matter expertise in Medicare, Medicaid, or other healthcare analytics to inform analysis and recommendations.
Requirements
- Bachelor’s degree in IT, Computer Science, Data Analytics, or a related field.
- Minimum of 5 years of experience in IT, data analytics, or related industries.
- Ability to obtain and maintain a Public Trust clearance.
- Strong working knowledge of Medicare Part B & Part D data; Medicaid experience is a plus.
- Proficiency in SQL and Python for data extraction, transformation, and analysis.
- Experience with data visualization tools such as Tableau or Power BI.
- Familiarity with cloud analytics platforms such as Google Cloud, AWS, or Microsoft Azure is preferred.
- Understanding of statistics and experience using statistical packages for data analysis.
- Excellent verbal and written communication skills; ability to convey findings to diverse audiences.
- Knowledge of Agile methodology and practices is a plus.
- Strong analytical aptitude, attention to detail, and ability to manage multiple priorities in a fast-paced environment.
Benefits
- Comprehensive medical, dental, and vision coverage with multiple plan options.
- Flexible work arrangements and home office support.
- Paid parental leave, vacation days, federal holidays, and floating holidays.
- Professional development opportunities, including paid training and conference allowances.
- Retirement plan options with employer contributions.
- Wellness programs, HeadSpace membership, and access to mental health resources.
- Supportive culture emphasizing work-life balance and inclusion.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
United States
United Kingdom only
Spain only
Venezuela only
Germany only