Pay
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Run advanced secondary data analytics on HCP, patient, and market dynamics
Translate business requirements into analyses and actionable insights
Lead commercial analytics projects with the offshore team
Explain complex analytics as clear business strategies to stakeholders
Execute advanced secondary data analytics projects to address diverse business challenges, including HCP and patient analysis, market dynamics
Act as a bridge between stakeholders, understanding business requirements, conducting relevant analyses, and delivering actionable insights.
working in close collaboration with offshore team to lead Commercial Analytics projects
ensuring complex analytics are translated into clear business strategies
Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Day 7
Similar jobs usually come down between day 5 and day 41.
From 10,593 similar postings that came down. Coming down is not always a hire.
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Great to have – Specialty Pharmacy, Hub Services, and Formulary. Technical Skills: - Proficiency in SQL, Python, SAS, or R (SQL, Python preferred). Qualitative Attributes: - Self-starter with the ability to work independently.
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We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Oncology Market Patient Analytics- Sr Associate/Associate Manager – Pharma Commercial Analytics
We are seeking an accomplished professional with expertise in patient analytics, specializing in the Oncology Market. This role involves developing the capability center in US, working in close collaboration with offshore team to lead Commercial Analytics projects as well as independently working with the client on ad hoc requests.
Key Responsibilities:
Execute advanced secondary data analytics projects to address diverse business challenges, including HCP and patient analysis, market dynamics, customer journey insights, and managed markets analytics.
Act as a bridge between stakeholders, understanding business requirements, conducting relevant analyses, and delivering actionable insights.
Communicate effectively with stakeholders, ensuring complex analytics are translated into clear business strategies.
Required Skills and Experience:
Experience: Minimum of 4 years in Pharma Commercial Analytics with a minimum of 3 years in the Oncology Domain. Team management experience will be a plus.
Experience with patient journey, segmentation, targeting, field / leadership reporting.
Great to have – independently working with client, leading QBR updates
Specializations:
Required - hands-on patient analytics leveraging claims and secondary market data.
Great to have – AI/ML modeling using patient level data
Great to have – hands-on Marketing analytics experience such as Omnichannel, Next best action, marketing mix.
Therapeutic Expertise:
Solid tumor experience
Great to have – nonsolid tumor, rare disease, infectious disease
Data Proficiency:
Extensive experience with pharmaceutical datasets like IQVIA (LAAD, Xponent, PlanTrak, NPA, DDD, HCOS), and Symphony.
Familiarity with data sources such as EHR, EMR, Biomarker testing.
Great to have – Specialty Pharmacy, Hub Services, and Formulary.
Technical Skills:
Proficiency in SQL, Python, SAS, or R (SQL, Python preferred).
Qualitative Attributes:
Self-starter with the ability to work independently.
Strong communication and presentation skills, with the ability to engage in executive leadership.
This is a unique opportunity to lead transformative projects, drive data-driven decision-making, and contribute to the success of a global pharmaceutical analytics initiative.
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Boston, MA
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