Sr. Healthcare Data Analyst (Medicaid) İş İlanı

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Healthcare Data Analyst (Medicaid) based in Turkey. This is a senior data analytics opportunity focused on using healthcare data to strengthen Medicaid program oversight. You will analyze large and complex datasets to identify patterns, vulnerabilities, and potential areas of fraud, waste, and abuse. The role combines advanced analytics, Medicaid policy knowledge, research, and data visualization to turn complex information into actionable insights. You’ll work closely with technical teams and leadership to investigate challenging questions and develop practical analytical solutions. Your findings will help inform decisions with meaningful implications for program integrity and public-sector healthcare outcomes. The environment values collaboration, critical thinking, clear communication, and the ability to work independently on complex problems. This role offers the opportunity to apply your healthcare data expertise to mission-driven work with tangible societal impact. Accountabilities Perform advanced analysis, interpretation, and reporting of Medicaid data, developing methodologies and analytical approaches that support program oversight. Analyze large datasets to identify meaningful patterns, trends, anomalies, vulnerabilities, and high-risk areas within the Medicaid program. Conduct research combining Medicaid policy knowledge with detailed claims analysis to investigate potential fraud, waste, abuse, and other program integrity concerns. Develop analytical rules, methodologies, and solutions that translate complex healthcare data into actionable insights. Apply exploratory research and critical thinking to understand program requirements and determine how data can inform decision-making. Build compelling data visualizations, dashboards, and reports that communicate complex findings clearly to technical and non-technical audiences. Present analytical conclusions and recommendations through written, verbal, and visual communication. Collaborate proactively with leadership and multidisciplinary team members to identify solutions to complex analytical challenges. Contribute to data-driven approaches that support the detection and prevention of fraud, waste, and abuse across Medicaid programs. Requirements Bachelor’s degree in a relevant discipline and 5+ years of professional experience conducting advanced analysis of Medicaid data. Strong hands-on experience with T-MSIS data and demonstrated expertise analyzing Medicaid datasets. Proficiency with SQL, Python, Tableau, Databricks, Snowflake, or comparable data analytics, reporting, dashboarding, and visualization technologies. Proven ability to work efficiently with large and complex datasets and uncover actionable patterns and trends. Experience developing advanced analytical solutions that address business or program challenges through a strong understanding of Medicaid policy. Demonstrated experience creating analytics and visualization solutions designed to identify and help prevent healthcare fraud, waste, and abuse. Strong statistical analysis, research, data interpretation, and problem-solving capabilities. Ability to translate complex analytical findings into clear recommendations for audiences with varying levels of technical expertise. Excellent written and verbal communication skills, with confidence presenting findings to stakeholders and leadership. Strong collaboration skills combined with the ability to work independently, prioritize effectively, and take ownership of complex analytical assignments. Ability to obtain and maintain the required NACI (Tier 1) public trust designation. Willingness to work remotely with limited travel, expected to be less than 10%. Benefits Competitive estimated salary range of $106,250–$143,750 USD annually, with final compensation based on experience, location, and applicable contractual considerations. Fully remote work environment. Full-time schedule of approximately 40 hours per week. Medical plan options, including plans with Health Savings Accounts. Dental and vision insurance options. 401(k) retirement plan with company matching and pre-tax/post-tax contribution options. Flexible work arrangements and full-flex work weeks where applicable. Paid vacation, sick, personal, and holiday leave. Typically 15 days of paid leave per calendar year for new employees, plus 10 paid holidays, subject to applicable prorating. Paid parental leave, including up to 160 hours of paid family leave during a rolling 12-month period for eligible employees. Military, bereavement, and jury duty leave. Short- and long-term disability coverage and life insurance options. Accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance offerings. Opportunity to contribute to mission-driven healthcare analytics and public-sector program integrity initiatives. Professional growth through work involving advanced data analytics, visualization, and large-scale healthcare datasets. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.