Senior Associate - Market Access

Three Across; Hyderabad; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Three Across is seeking a data analytics professional in Hyderabad, India to transform healthcare datasets into market access insights. You will ingest and harmonize patient-level data, integrate formulary data, and build dashboards to support payer strategies and contracting opportunities.

The role emphasizes SQL, Python, and BI tools, with data lake architectures and cloud environments. Collaboration with clients and teams is essential for delivering data-driven recommendations.

Qualifications

• 3–5 years of experience with pharmaceutical/biotechnology datasets such as Claims, Payer Coverage, and secondary healthcare data.
• Advanced SQL and analytical skills.
• Experience with Data Lake / cloud data environments.
• Hands-on experience with Python / Jupyter Notebooks / SageMaker.
• Experience with BI tools such as Tableau, Power BI, Qlik, or QuickSight.
• Strong data visualization and data storytelling skills.
• Ability to perform univariate and multivariate analysis.

Responsibilities

• Ingest, clean, and harmonize anonymized patient-level data to analyze treatment journeys and access barriers.
• Integrate MMIT formulary data, including coverage status and prior authorization.
• Develop payer and channel scorecards across lines of business and geographies.
• Build IDN and GPO opportunity maps to identify contracting opportunities.
• Analyze coverage differences across Commercial, Medicare, and Medicaid segments.
• Prepare executive summaries, pre-reads, presentations, and data-driven recommendations for clients.
• Identify datasets for new business requests and develop SQL queries.
• Translate complex data into clear, decision-oriented insights.
• Understand client requirements, data operating rules, and SOPs.

Skills

SQL

Data Lake

Python

BI tools

Tableau/Power BI/Qlik/QuickSight

Jupyter Notebooks

SageMaker

Data visualization

Univariate/multivariate analysis

Education

Bachelor's or Master's degree in Data Science/Statistics/Mathematics/ Econometrics/Engineering/Finance

Tools

Data Lake

Cloud data environments

Jupyter Notebooks

SageMaker

Job description

• Support pharma/biopharma client projects by transforming APLD, formulary, coverage, and healthcare datasets into actionable market access insights.
• Analyze payer, IDN, GPO, PBM, and coverage data to support access strategy, pull-through execution, and account planning.
• Build data pipelines and BI reports using Data Lake architecture and multiple integrated datasets.
• Perform data integration, harmonization, transformation, and univariate/multivariate analysis.

Role Overview

• Support pharma/biopharma client projects by transforming APLD, formulary, coverage, and healthcare datasets into actionable market access insights.
• Analyze payer, IDN, GPO, PBM, and coverage data to support access strategy, pull-through execution, and account planning.
• Build data pipelines and BI reports using Data Lake architecture and multiple integrated datasets.
• Perform data integration, harmonization, transformation, and univariate/multivariate analysis.

Key Responsibilities

• Ingest, clean, and harmonize anonymized patient-level data to analyze treatment journeys, adherence, persistence, switching, and access barriers.
• Integrate MMIT formulary data, including coverage status, prior authorization, restrictions, step edits, and covered lives.
• Develop payer and channel scorecards across lines of business and geographies.
• Build IDN and GPO opportunity maps to identify influence pathways, member alignment, and contracting opportunities.
• Analyze coverage differences across Commercial, Medicare, and Medicaid segments.
• Prepare executive summaries, pre-reads, presentations, and data-driven recommendations for clients.
• Identify appropriate datasets for new business requests and develop SQL queries and analytical outputs.
• Translate complex data into clear, decision-oriented business insights.
• Understand client business requirements, data, operating rules, and standard operating procedures.

Required Skills

• 3 5 years of experience working with pharmaceutical/biotechnology datasets such as Claims, Payer Coverage, and secondary healthcare data.
• Strong experience in data processing, profiling, cleansing, standardization, and integration.
• Advanced SQL and analytical skills.
• Experience with Data Lake / cloud data environments.
• Hands-on experience with Python / Jupyter Notebooks / SageMaker.
• Experience with BI tools such as Tableau, Power BI, Qlik, or QuickSight.
• Strong data visualization and data storytelling skills.
• Ability to perform univariate and multivariate analysis.
• Strong problem-solving and analytical capabilities.
• Ability to work independently and collaborate effectively with teams and clients.

Preferred Education

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Econometrics, Engineering, Finance, Management Science, or another quantitative discipline.