Senior Data Analyst at Precision AQ

, , India -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

0.0

Posted On

09 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Python, Excel, PowerPoint, HEOR, Market Access, Data Integrity, Exploratory Data Analysis, Client-Facing Insights, Data Governance, Automation, Claims Data, Oncology, Treatment Patterns, Visual Analytics

Industry

Business Consulting and Services

Description

Senior Data Analyst – Patient Journey & LOT Analytics 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. 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. Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. 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 QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

Responsibilities

The Senior Data Analyst will lead analytics projects focused on patient journey and line-of-therapy mapping, transforming large claims datasets into actionable insights. They will collaborate with various teams and ensure data integrity and governance throughout the analytics process.