Senior Data Analyst

About

We are hiring a Senior Data Analyst who will be responsible for transforming complex data into actionable insights that drive strategic decisions. This role involves advanced data modeling, statistical analysis, and visualization to support organizational goals. The analyst will collaborate across departments to ensure data integrity, optimize reporting processes, and provide leadership in analytics initiatives.

Responsibilities

• Collect, clean, and validate large datasets from multiple sources
• Collaborate with internal resources on data integrity and policies; ensure compliance with data governance, security, and privacy standards
• Develop and maintain dashboards, automated reports, and predictive models using business intelligence tools
• Define and track key performance indicators (KPIs) to measure the impact of analytics on business outcomes
• Guide strategic recommendations on program growth based on trends, regulatory requirements and industry insights
• Perform advanced statistical analyses and interpret trends leveraging a variety of sources to inform business strategies
• Work with internal resources, including data engineers, on data accuracy and timeliness
• Collaborate with cross‑functional stakeholders to define data requirements and deliver insights
• Serve as a trusted advisor to stakeholders, guiding data‑driven decision making and championing analytics best practices
• Regularly present findings to executive leadership in clear, actionable formats

Minimum Qualifications

• 7+ years of experience in data analytics or business intelligence
• Proficiency in SQL, Python/R, and expertise in data visualization tools (Power BI, Tableau)
• Strong knowledge of statistical modeling, predictive analytics, machine learning, and data warehousing
• Excellent problem‑solving, communication, and presentation skills
• Experience with cloud‑based data platforms (Azure, AWS) and emerging AI technologies a plus
• Working knowledge of data warehouse solutions and ability to collaborate with data engineers
• Strong verbal and written communication skills with a proven ability to understand key concepts and communicate effectively with technical staff and business stakeholders
• Ability to translate data into actionable business solutions
• Ability to independently prioritize and handle multiple tasks simultaneously
• Ability to explain complex data concepts to diverse audiences
• Strong analytical and strategic thinking skills

Additional Considerations

• Hybrid employment opportunities
• Typical office environment with considerable time in a sitting, stationary position
• Constantly operate a computer and other office equipment including typing and keying

Benefits

• Generous healthcare benefits with multiple plans to choose from
• Defined benefit and contribution retirement plans with cash match
• 12+ holidays
• PTO – new employees earn 25 days/full year
• Tuition reimbursement
• Agency‑paid continuing education
• 529 match program
• Relaxed work environment