Business Analytics Lead Analyst - HIH - Evernorth

INTRODUCTION TO EVERNORTH: 

Evernorth Health Services India, established in Hyderabad in 2024, is an innovation hub for Evernorth Health Services, the pharmacy, care and benefits division of The Cigna Group. The innovation hub will support innovation-focused areas, such as generative AI, product development, process improvement, analytics, and software engineering across The Cigna Group and its businesses.  Evernorth Health Services India builds on The Cigna Group’s existing presence in India.

About Evernorth Health Services:

Evernorth Health Services (Evernorth) is the pharmacy, care and benefits solution division of The Cigna Group - a Fortune 16 global health company with 75,000 employees, 186 million customers in more than 30 countries and jurisdictions around the world. Evernorth exists to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. We do this by creating and connecting premier health services offerings, such as benefits management, pharmacy, care solutions, insights and intelligence.

About Cigna:

The Cigna Group is a global health company committed to improving the health and vitality of individuals and communities around the world and includes products and services marketed under its Cigna Healthcare and Evernorth Health Services subsidiaries. Cigna Healthcare is the health benefits provider of The Cigna Group, serving customers and clients through its U.S. Employer, U.S. Government, and International Health business. Evernorth Health Services is the pharmacy, care and benefits solution division of The Cigna Group.

The Opportunity

We are looking for an Advisor, Business Analytics to join our Prospect Analytics team in Hyderabad.

In this role, you will use healthcare and pharmacy data to answer meaningful business questions, identify trends and opportunities, and develop insights that support prospective client opportunities and business decisions.

You will work across the analytical lifecycle, from understanding the business question and evaluating incoming data to developing analyses, validating results, and communicating what the findings mean.

This is an opportunity for an analyst who wants to build deeper expertise at the intersection of healthcare, analytics, technology, and business strategy, while gaining exposure to complex analytical challenges and collaborating with experienced colleagues across the organization.

What you'll do

Analyze complex healthcare and pharmacy data

• Perform analyses supporting prospective client opportunities, RFPs, and other business needs.
• Work with large healthcare and pharmacy datasets to identify patterns, trends, anomalies, and opportunities.
• Assess source data for completeness, consistency, and usability.
• Transform, validate, and analyze data using established analytical methodologies and business rules.
• Investigate unexpected results and resolve data-quality or analytical issues.
• Document analytical methods, assumptions, business rules, and findings.
• Produce accurate, reproducible, and decision-ready analytical outputs.

Turn analysis into insight

• Analyze healthcare utilization, population characteristics, cost drivers, and pharmacy trends.
• Support analyses involving pharmacy utilization, formulary considerations, member disruption, pharmacy networks, specialty pharmacy, and clinical trends.
• Look beyond individual metrics to identify relationships and meaningful patterns within the data.
• Work with subject-matter experts to understand the healthcare and business context behind analytical results.
• Translate findings into clear observations and implications that business partners can understand and use.

Solve analytical problems

• Translate defined business questions into structured analytical approaches.
• Apply sound analytical judgment when working with incomplete or complex datasets.
• Identify inconsistencies or unusual results and investigate potential causes.
• Determine when established approaches can be applied and when a problem requires additional investigation or escalation.
• Balance analytical rigor, business priorities, and delivery expectations.

Build scalable analytics

• Identify opportunities to make recurring analytical work more efficient and consistent.
• Develop and maintain reusable workflows, queries, datasets, reports, and analytical components.
• Help automate manual analytical and data-processing activities.
• Contribute to documentation, quality controls, and analytical standards.
• Work with platforms and technologies such as SQL, Python, Alteryx, Tableau, Power BI, Databricks, AWS, PostgreSQL, or Teradata, depending on the analytical need.
• Explore responsible uses of automation and AI to improve productivity, quality, and insight generation.

Collaborate across the business

• Partner with colleagues across Analytics, Sales, Clinical, Underwriting, Product, Finance, Data, and Technology.
• Ask thoughtful questions to understand the business need behind an analytical request.
• Clearly explain findings, methodologies, assumptions, and limitations.
• Present analyses in concise, business-friendly formats.
• Incorporate feedback from technical experts, business partners, and analytical leaders.
• Develop trusted relationships through responsiveness, analytical quality, and follow-through.

Continue developing your expertise

• Build deeper knowledge of healthcare, pharmacy benefits, claims data, and prospective-client analytics.
• Strengthen technical capabilities and analytical problem-solving skills.
• Learn from more experienced analysts and subject-matter experts.
• Share new techniques, findings, and lessons with colleagues.
• Stay curious about developments in healthcare, analytics, automation, and AI.

What you'll bring

Required qualifications

• Bachelor's degree or equivalent practical experience in analytics, data science, statistics, economics, computer science, engineering, pharmacy, public health, business, or a related discipline.
• 5-8 years of experience
• Professional experience in business analytics, healthcare analytics, business intelligence, data analytics, claims analytics, or a related field.
• Hands-on experience with SQL or comparable analytical querying tools.
• Experience working with large or complex datasets.
• Understanding of data transformation, validation, data quality, analytical workflows, reporting, or visualization.
• Strong analytical and structured problem-solving skills.
• Ability to communicate analytical findings clearly to technical and non-technical audiences.
• Ability to manage priorities and deliver high-quality work in a collaborative environment.

Preferred qualifications

• Experience in healthcare, health insurance, pharmacy benefits, life sciences, healthcare consulting, or claims analytics.
• Experience analyzing medical or pharmacy claims, healthcare utilization, or healthcare cost data.
• Exposure to RFPs, pricing, underwriting, sales analytics, client analytics, US Pharmacy business or commercially focused analytics.
• Hands-on experience with one or more technologies such as Python, Alteryx, Tableau, Power BI, Databricks, AWS, PostgreSQL, or Teradata.
• Knowledge of pharmacy utilization, specialty pharmacy, formulary, pharmacy-network, or member-disruption analytics.
• Experience creating reusable analytical workflows or automating recurring processes.
• Advanced education or professional development in an analytical, technical, healthcare, or related discipline.

What will help you succeed

You're curious about the data.
When something looks unusual, you want to understand why.

You care about accuracy.
You recognize that an analytical result has to be trustworthy before it can influence a business decision.

You connect details to the bigger picture.
You want to understand the business question behind an analysis, not simply complete the requested output.

You're comfortable solving problems.
You can work through complex data and imperfect information systematically.

You communicate clearly.
You can make analytical findings understandable to people who don't spend their day working with data.

You're willing to challenge assumptions.
When the evidence points in a different direction, you investigate and raise the question constructively.

You look for better ways to work.
When a process is repetitive or unnecessarily manual, you look for opportunities to simplify, standardize, or automate it.

You're committed to learning.
You want to deepen your knowledge of healthcare, pharmacy, analytics, technology, automation, and AI.

Why join us?

This role provides an opportunity to build a career at the intersection of healthcare, analytics, technology, and business decision-making.

You will work with complex healthcare and pharmacy data, solve real analytical problems, learn from experienced business and technical professionals, and develop insights that help support prospective client opportunities.

You'll also have the opportunity to develop expertise that goes beyond technical execution by learning how to connect data to insight, insight to business context, and analytical work to better decisions.

Equal Opportunity Statement

Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.

About Evernorth Health Services