Senior Medicaid Data Analytics Lead - Remote

Ladders; United States; Remote; USD 113,000 - 144,000; Full time

Benefits offered by this job

Medical plan options

401(k) plan with company match

Flexible work weeks

Paid Family Leave

Disability and life insurance

Job summary

Ladders is seeking a Sr. Healthcare Data Analyst (Medicaid) for a remote role in the United States. The position focuses on advanced Medicaid data analysis to uncover trends, vulnerabilities, and actionable insights for leadership decisions.

Collaborate with senior leaders to shape analytics solutions addressing Medicaid policy challenges, using SQL, Python, Tableau, Databricks, Snowflake, and related tools to detect fraud, waste, and abuse and inform strategic actions.

Qualifications

• Bachelor's degree with 8+ years of Medicaid data analysis experience (T-MSIS).
• Proficiency in SQL, Python, Tableau, Databricks, Snowflake or similar tools.
• Experience developing analytic solutions addressing Medicaid policy challenges.
• Skill in creating analytics and visualization solutions to combat fraud, waste, or abuse.
• Strong understanding of big data, data analytics, and statistical analysis.

Responsibilities

• Perform data analysis, interpretation, and reporting duties
• Conduct research on vulnerabilities within the Medicaid program
• Present analytic findings using written, verbal, and visualization techniques
• Utilize critical thinking to inform decision-making through data insights
• Work with large datasets to uncover meaningful patterns and trends
• Collaborate with leadership and team members to solve complex challenges

Skills

Data analysis

Visualization

Statistical analysis

Big data

Education

Bachelor's degree

Tools

SQL

Python

Tableau

Databricks

Snowflake

Job description

Ladders is seeking a Sr. Healthcare Data Analyst (Medicaid) for a remote role in the United States. The position focuses on advanced Medicaid data analysis to uncover trends, vulnerabilities, and actionable insights for leadership decisions.

Collaborate with senior leaders to shape analytics solutions addressing Medicaid policy challenges, using SQL, Python, Tableau, Databricks, Snowflake, and related tools to detect fraud, waste, and abuse and inform strategic actions.