Data Analyst Senior or Lead

Role overview

Responsibilities

• Lead complex analyses independently and develop predictive and statistical models.
• Integrate internal and external data to identify trends, risks, cost drivers, and optimization opportunities.
• Translate complex data into clear insights and actionable recommendations for business collaborators.
• Lead high-impact analytics initiatives and support benefits strategy through data-driven storytelling.

Must-have qualifications

• At least six years of analytical work experience.
• Alternatively, a bachelor’s degree or higher and at least five years of analytical work experience.
• Alternatively, a bachelor’s degree or higher in a quantitative field and at least three years of analytical work experience.

Preferred skills

• Understanding of healthcare, insurance, or employee benefits business processes and ability to explain analytical findings in business terms.
• Knowledge of big data, data modeling, and multi-source integration; complex SQL queries and analytical programs such as SAS, R, or Python.
• Advanced predictive and statistical modeling with large datasets; analysis of utilization, cost, vendor performance, and program outcomes.
• Advanced Excel, including pivot tables, macros, lookups, charts, and automation; executive reports, dashboards, and visualizations.
• Communication and presentation skills for technical and non-technical audiences, with ability to influence senior leadership.

Workplace

• Remote work is allowed.

Compensation

• Annual salary range is $81,400–$131,200.
• Annual gainshare cash incentive may be up to 30% of eligible earnings, based on company performance.

Benefits

• Benefits include a 401(k) match, medical, dental and vision coverage, wellness programs, flexible spending and health savings accounts, and life insurance.
• Other benefits include paid time off, sick leave where applicable, disability coverage, family and military leave, employee resource groups, career development, and tuition assistance.