Senior Data Analyst
Summary
Senior Data Analyst transforms healthcare claims and patient datasets into strategic insights for oncology treatment patterns, using SQL, Python, and visualization tools to support pharma clients.
Role Summary
We are seeking a motivated, experienced Senior Data Analyst who will lead analytics efforts around Oncology patient journey, line of therapy (LoT) and structured claims/patient data.
The successful candidate will transform large claims datasets into insights that shape strategic decisions for our clients.
Key Responsibilities
- Lead and execute analytics projects focused on patient-journey and line-of-therapy mapping, Brand analytics.
- Analyze structured claims and patient datasets such as DRG, IQVIA, McKesson, Symphony claims.
- Conduct exploratory data analysis (EDA) to assess treatment patterns, pathways and utilization.
- Support HEOR/HCRU analyses including prevalence, burden, incidence and cost-of-illness studies.
- Develop and present client-facing insights using dashboards, PowerPoint and visual analytics.
- Build and optimise SQL queries, pipelines; use Excel and Python for automation and analysis.
- Collaborate with HEOR, market-access, strategy and engineering teams. Ability to gather requirements, articulate approach, timeline and execution with key stakeholders are of equal importance.
- Ensure data integrity, governance, documentation and reproducibility.
- Independently manage workload, communicate progress and drive project delivery.
Required Qualifications
- Minimum 5 years’ experience, with 3+ years in relevant analytics roles.
- Bachelor’s/Master’s in Computer Science, Electronics, Pharmacy, Life Sciences, Data Science, Statistics or related field.
- Prior Experience with structured datasets: DRG, Symphony, IQVIA, McKesson.
- Strong proficiency in SQL, Python, Excel, PowerPoint.
- Experience in Pharma/life-science consulting or analytics agencies.
- Exposure to RWE sources including EHR/EMR, CMS datasets.
- Understanding of LoT frameworks, treatment guidelines and market-access structures.
Preferred / Nice to Haves
- Working knowledge of Python and visualisation tools (Power BI, Tableau).
- understanding of data modeling and statistical techniques.
- Client-facing experience with ability to translate analytics into business insights.
- Therapy-area familiarity (oncology, immunology, rare diseases).
- Experience conducting stakeholder workshops or building interactive dashboards.
Experience working with global teams and multi-geography datasets.
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Candidates must be legally authorized to work in the country of employment without employer sponsorship.
Skills
As published by greenhouse · 19 questions · 2 written answers
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location
Short answers (9)
- LinkedIn Profile optional
- What is your desired salary?
- If yes, when and which company? optional
- If yes, when and which company? optional
- Legal Address - Street Address 1
- Legal Address - City
- What is your CTC?
- What is your Ectc?
- What is you notice period?
Pick from a list (8)
- Are you authorized to work lawfully in the country/location for which you are applying?
- Will you now or in the future require Precision Medicine Group to commence (sponsor) an immigration case in order to employ you (for example, work visa application or work visa transfer, or other-employment based immigration case)? This is sometimes called "sponsorship" for an employment-based visa status.
- Have you ever worked for Precision Medicine Group or one of its affiliated companies?
- Have you ever interviewed with Precision Medicine Group or an affiliated company?
- Are you currently subject to a Non-Compete or Non-Solicit with your current employer?
- I certify that the information on this application, my resume and any supporting documentation I provide is complete and accurate to the best of my knowledge. If this application leads to employment, I understand that false or misleading information in my application, resume or interview may result in my release or termination of employment. I authorize the Company or its agents to confirm all statements contained in this application and/or curriculum vitae as it relates to the position I am seeking and to the extent permitted by the laws of the country where the job is located (“Applicable Laws”). I agree to complete any required authorization forms for the background investigation. I authorize and consent to, without reservation, any party or agency contracted by this employer to furnish the above-mentioned information. I hereby release, discharge, and hold harmless, to the extent permitted by Applicable Laws, any party delivering information to the Company or its duly authorized representative pursuant to this authorization from any liability, claims, charges or causes of action which I may have as a result of the delivery or disclosure of the above requested information and all other persons, corporations, or organizations furnishing such information. If hired, I understand that I will be required to provide genuine documentation establishing my identity and eligibility to be legally employed in the country where the job is located. I also understand that the Company employs only individuals who are legally eligible to work in the country where the job is located.
- Legal Address - Country
- Ready to work remote and 12 to 9 pm shift IST?
Written answers (2)
- Explain your experience working on Claims and patient datasets such as DRG, IQVIA, McKesson, Symphony claims, etc?
- Explain your experience with SQL, Python, Excel, PowerPoint?