Advisor, Business Analytics

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.

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

• Bachelor's degree or equivalent practical experience in analytics, data science, statistics, economics, computer science, engineering, pharmacy, public health, business, or a related discipline.
• 11-13 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.