Business Analytics Senior Manager- CuraScript SD- Hybrid

Cigna Healthcare•Tempe, AZ

1d•Hybrid

About The Position

Business Analytics Senior Manager – CuraScript SD- Hybrid Position Summary The Business Analytics Senior Manager plays a pivotal role in helping CuraScript SD make smarter, data‑driven decisions that improve patient access, operational performance, and business outcomes. This leader brings curiosity, clarity, and compassion to analytics—guiding teams to turn complex data into trusted insights. You will inspire talented analytics professionals, influence senior stakeholders, and build scalable solutions that support a growing, mission‑driven organization. Location: This is a hybrid role out of our Tempe, AZ location Key Responsibilities Leadership & Strategy • Lead, coach, and develop a team of BI developers, data analysts, and analytics engineers; manage performance and career growth. • Accountable for delivery outcomes, quality, and adherence to analytics standards. • Foster a high-performance, collaborative team culture. Analytics Strategy & Execution • Translate business objectives into an analytics delivery roadmap. • Ensure consistent delivery of dashboards, reports, and analytical solutions. • Provide leadership on complex initiatives across business and technology. Analytics, Reporting & Insight Delivery • Oversee development of analytics using Tableau and enterprise platforms. • Ensure insights are executive-ready with clear narratives and recommendations. • Guide scalable solution design including data models and KPIs. Technical Direction & Data Enablement • Provide technical oversight using SQL, Python, and PowerShell. • Partner with Data Engineering and ETL teams. • Ensure alignment with SAP, Salesforce, Cisco, and Workday. • Establish standards for data quality, documentation, and testing. Stakeholder Partnership & Influence • Act as a senior analytics partner to business leaders. • Clearly communicate analytics to non-technical audiences. • Influence across matrixed organizations.

Requirements

High School Diploma or GED required. Bachelor’s degree in Analytics or related discipline, or equivalent practical experience highly desired.
8+ years of experience solving business problems through analytics.
5+ years of people leadership experience with accountability for results.
Strong proficiency in SQL.
Working knowledge of Python and PowerShell.
Extensive experience with BI tools, including Tableau.
Experience with SAP, Salesforce, Cisco. (Workday experience desired)
Strong understanding of BI architecture, ETL, and analytics engineering.
Ability to influence across complex, matrixed organizations.
Strong executive-level communication skills.
If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

Nice To Haves

Experience leading analytics teams in operational or enterprise environments.
Familiarity with statistical or advanced analytical techniques.
Experience with analytics prioritization and capacity planning.
Recognized analytics or BI subject matter expertise.

Responsibilities

Lead, coach, and develop a team of BI developers, data analysts, and analytics engineers; manage performance and career growth.
Accountable for delivery outcomes, quality, and adherence to analytics standards.
Foster a high-performance, collaborative team culture.
Translate business objectives into an analytics delivery roadmap.
Ensure consistent delivery of dashboards, reports, and analytical solutions.
Provide leadership on complex initiatives across business and technology.
Oversee development of analytics using Tableau and enterprise platforms.
Ensure insights are executive-ready with clear narratives and recommendations.
Guide scalable solution design including data models and KPIs.
Provide technical oversight using SQL, Python, and PowerShell.
Partner with Data Engineering and ETL teams.
Ensure alignment with SAP, Salesforce, Cisco, and Workday.
Establish standards for data quality, documentation, and testing.
Act as a senior analytics partner to business leaders.
Clearly communicate analytics to non-technical audiences.
Influence across matrixed organizations.