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Chryselys in Hyderabad, India, specializes in pharma analytics and business consulting, delivering data-driven insights on cloud-native platforms. We seek a Senior Associate to transform APLD, integrate datasets, and deliver payer, IDN and GPO insights guiding access strategy and account planning.
You will build data pipelines, harmonize data, and create BI reports using SQL-based tools across Data Lake architecture. A background in biopharma/healthcare and 3–5 years of experience is required.
Chryselys is a Great Place to Work Certified Pharma Analytics & Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations. We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.
Department: Insights & Analytics | Reports To: Manager
The Senior Associate will provide integral support to our ongoing client projects by transforming APLD and combining formulary/coverage datasets into actionable payer, IDN, and GPO insights that inform access strategy, pull-through execution, and account planning. Connect coverage status, medical policies, and purchasing influence across plans, PBMs, IDNs, and GPOs to quantify opportunity, risk, and expected business impact.
A successful candidate should have experience in the biopharma and/or healthcare industry, a background in data analysis and managing data integration projects, a proactive mindset, and a demonstrated track record of generating impactful insights for clients. The candidate should be capable of building data pipelines and Business Intelligence reports on Data Lake architecture combining several data sets to enable univariate and multivariate analysis. This includes data integration, harmonization and transforming raw data into curated datasets for Data / BI Analytics.
On the tools side, the successful candidate should possess a strong background in a complex data processing environment using SQL platforms (Redshift, Athena, Snowflake etc.), Python/Jupyter Notebooks (SageMaker etc.) and Business Intelligence tools such as Tableau, Qlik, QuickSight.
Education: Bachelor's or Master's degree required in any discipline with a strong record of academic success in quantitative and analytic coursework such as finance, applied mathematics, management science, data science, statistics, econometrics or engineering.
Experience: 3-5 years of previous experience working with key pharmaceutical/biotechnology data sets like Claims, Payer Coverage and other secondary data.
Skills:
Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.