About the Role

The Senior Consultant, Advanced Analytics is responsible for delivering high-impact analytics that drive commercial strategy and business performance. This role requires strong problem-solving, advanced technical skills, and the ability to translate complex data into actionable insights.  You will own complex analytical work from problem definition through execution. While this role does not include formal people management responsibilities, it plays a key role in mentoring analysts and elevating analytical quality.

This position is eligible for the flex persona.

Key Responsibilities

• Lead end-to-end analytical projects, including problem-framing, data extraction, analysis, and synthesis of insights.
• Write and optimize complex SQL and/or Python queries to extract, join, and transform data from large relational datasets.
• Perform advanced analyses using SAS, Python, or R, including statistical modeling
• Develop KPI frameworks and analytical methodologies for evaluating product and commercial performance.
• Design and execute statistical analyses to measure causal impact of commercial products and programs, utilizing inferential models such as linear and logistic regression in programs such as SAS, R, or Python.
• Develop complex Tableau dashboards and analytical tools that support both self-service exploration and executive decision-making.
• Partner with Enterprise Technology (ET) team on data integration work, including requirements gathering, data validation, and managing ongoing relationships with technical teams.
• Partner with business and technical teams across the enterprise to gain access to new data sources. Lead the team's efforts to explore, validate, and learn how to utilize these data assets, including claims, underwriting, and sales data.
• Utilize data visualization best practices to translate analytical results into clear narratives, highlighting trends and actionable insights.
• Act as a technical lead, providing guidance on analytical approaches, coding practices, and data visualization.

Qualifications:

• Education:
  • Bachelor's degree in a quantitative discipline (e.g., Data Science, Statistics, Epidemiology). Master’s degree preferred.

• Experience:
  • Minimum of 5-7 years of professional experience in data analytics, with experience in the healthcare payer industry is strongly preferred.
  • Direct, hands-on experience working with large-scale datasets, with direct experience handling medical and pharmacy claims data strongly preferred.
  • Demonstrated experience delivering complex analytical projects from ideation through implementation.
  • Prior experience in a formal management or senior technical leadership role is preferred.

• Technical Skills:
  • Advanced proficiency in SQL, Python, SAS, and/or R for data extraction, manipulation and modeling.
  • Advanced proficiency in data visualization tools (Tableau preferred)
  • Experience in applied statistical modeling, including multivariate regression techniques for the purpose of causal inference and program evaluation.
  • Proficiency with cloud-based data platforms (e.g., Snowflake) is preferred but not required.

• Business & Interpersonal Skills:
  • Strong analytical and problem-solving skills with attention to detail.
  • Quantitative analysis skills with financial and business performance data.
  • Ability to manage multiple projects and stakeholders in a matrixed environment.
  • Ability to verbally and visually translate complex data and analytical results into clear and actionable business insights and strategic recommendations.
  • Proven ability to thrive in a dynamic environment, managing multiple projects and adapting to evolving business priorities.

#LI-HYBRID

High school degree or equivalent required unless otherwise noted above

The job posting range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting.  We may ultimately pay more or less than the posted range, and the range may be modified in the future.  An employee’s pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs and affordability.

This job is also eligible for variable pay.

We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and a suite of well-being benefits to eligible employees.

Note:  No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.