Feeny
Precision AQ

Senior Data Analyst at Precision AQ (India)

Precision AQ· India·

Role details

Work type
Remote
Level
Senior

Job description

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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Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at myHR@precisionmedicinegrp.com.

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Candidates must be legally authorized to work in the country of employment without employer sponsorship.

Why work at Precision AQ

  • Culture: Described as "built on accountability, flexibility, and trust" with a hybrid model that combines remote work with meaningful in-person moments for onboarding, training, and team building.
  • Diversity & Inclusion: Strong emphasis on DEI with active Employee Resource Groups (ERGs) including Precision Pride (LGBTQIA+), a Humanity in Action Committee (community service), and a multicultural employee group.
  • Remote-friendly: The vast majority of open roles are listed as "Remote, United States" or "Remote, India," with some UK-based and New York office roles. This suggests a highly flexible, remote-first operating model.
  • Purpose-driven work: Employees directly contribute to bringing life-changing medicines to patients, which provides a strong sense of mission beyond commercial goals.
  • Growth opportunities: Clear career development paths, internal mobility across HEOR, medical communications, market access, and data science teams, and a culture that "invests in growth through robust learning programs."

Application questions