Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Healthcare Data Analyst - REMOTE. In this role, you will be integral in helping transform how healthcare data is analyzed and utilized. Your insights will empower clients to leverage significant data in combating fraud within Medicaid and Medicare. By collaborating with specialists and employing your data analytics skills, you will contribute significantly to important public health initiatives. This is an excellent opportunity to expand your expertise in data manipulation and presentation while making a real impact in the healthcare industry. Join us to make a difference with your work! - Perform data analysis, interpretation, and reporting duties. - Develop rules and methodologies for data collection and analysis. - Collaborate with team members to conduct analysis and present findings. - Identify solutions to complex challenges with leadership assistance. - Utilize critical thinking and exploratory research for decisions. - Work with large datasets to uncover meaningful patterns and trends. Qualifications - At least 5 years of related experience in healthcare data analytics. - Proficiency in SQL, Python, Tableau, and similar analytics tools. - Experience in analyzing Medicaid claims data and presenting results. - Bachelor’s degree in a relevant field. - Strong analytical and problem-solving skills. Benefits - Competitive salary range of $102,000 - $138,000. - Flexible work hours and remote work options. - Comprehensive medical, dental, and vision plans. - 401(k) plan with company matching. - Generous paid time off and holiday policies. - Paid family leave and other supportive programs. - Continuous professional development opportunities. Company Description

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Healthcare Data Analyst - REMOTE. In this role, you will be integral in helping transform how healthcare data is analyzed and utilized. Your insights will empower clients to leverage significant data in combating fraud within Medicaid and Medicare. By collaborating with specialists and employing your data analytics skills, you will contribute significantly to important public health initiatives. This is an excellent opportunity to expand your expertise in data manipulation and presentation while making a real impact in the healthcare industry. Join us to make a difference with your work! - Perform data analysis, interpretation, and reporting duties. - Develop rules and methodologies for data collection and analysis. - Collaborate with team members to conduct analysis and present findings. - Identify solutions to complex challenges with leadership assistance. - Utilize critical thinking and exploratory research for decisions. - Work with large datasets to uncover meaningful patterns and trends. Qualifications - At least 5 years of related experience in healthcare data analytics. - Proficiency in SQL, Python, Tableau, and similar analytics tools. - Experience in analyzing Medicaid claims data and presenting results. - Bachelor’s degree in a relevant field. - Strong analytical and problem-solving skills. Benefits - Competitive salary range of $102,000 - $138,000. - Flexible work hours and remote work options. - Comprehensive medical, dental, and vision plans. - 401(k) plan with company matching. - Generous paid time off and holiday policies. - Paid family leave and other supportive programs. - Continuous professional development opportunities. Company Description

• Analyze operational data to identify trends, risks, and improvement opportunities • Build and maintain dashboards, reports, and alerts to support business decisions • Partner with operations, product, and engineering teams to solve data-driven problems • Define and track key performance metrics and operational KPIs • Present insights and recommendations to non-technical stakeholders

• Own digital marketing analytics for InPost's international markets, supporting paid media and web analytics performance. • Analyze performance marketing data using advanced SQL and Python to uncover trends, risks, and growth opportunities. • Act as a consulting partner to markets: proactively interpret data, challenge assumptions, and recommend campaign optimizations. • Translate high-level business questions into deep-dive analyses that go beyond basic reporting. • Define KPIs, methodologies, and analytical standards for a newly created international digital analytics function. • Ensure strong data quality and consistency across digital data sources.