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[SD]- Engagement Lead- Analytics

Pay
Pay not listedSimilar roles state $94K–$145K
Work setting
Not stated
Employment
Not stated

Before you apply

Employer’s visa record
10 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.

What you’ll work on

Full posting
  • Lead pharma forecasting engagements with data-driven insights

  • Develop and manage forecasting models for in-line and pipeline assets

  • Turn complex datasets into actionable business strategies

  • Align client and internal teams on assumptions, scenarios and methods

  • Identify risks and opportunities affecting forecasts

From the employer’s posting
Lead forecasting engagements for pharma clients, driving business performance through robust, data-driven insights.
Develop and manage forecasting models for in-line and pipeline assets across multiple therapy areas.
Translate complex datasets and analytical findings into actionable business strategies and recommendations.
Collaborate with cross-functional client and internal teams to align on assumptions, scenarios, and methodologies.
Identify potential risks and opportunities impacting forecasts and deliver solutions to support decision-making.
Apply at ProcDNA

Posting record

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Status in our records
Live
First seen by us
Sep 24, 202650 days ago
Recorded sightings
61
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$94.4K–$145K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,036 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 50

Up longer than most. Similar jobs usually come down between day 5 and day 43.

Well past ProcDNA’s usual: its jobs come down by about day 21.

From 14,545 similar postings that came down, and 5 of ProcDNA’s. Coming down is not always a hire.

ProcDNA is hiring

24 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Analyst hiring is steady
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Excel
Where the posting names them
- Strong understanding of key pharma datasets such as LAAD and other secondary data sources. - Proficiency in building and managing Excel-based forecasting models; exposure to advanced forecasting tools is a plus. - Excellent problem-solving skills with the ability to synthesize insights from complex data sets.

Your next step

Complete your application on procdna.applytojob.com. The employer’s form will show what is required.

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  • No account needed: one application form on the employer’s applytojob.com page.

Already applied? Track this application

Demand for Analyst roles

New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 993, the most 1,515, and the latest week had 1,515.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

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.

Job description

View original posting ↗

About ProcDNA
ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 450+ across 9 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?
What we are looking for
We are seeking an Engagement Lead-Analytics to join our team—someone with a strong understanding of the pharmaceutical industry and detailed knowledge of datasets such as LAAD, DDD, and XPO. You thrive on working with complex data sets to solve real-world problems and can translate insights into actionable business strategies. In this role, you will be responsible for driving business performance, identifying and navigating risks, and developing pragmatic, data-driven strategies that deliver tangible impact.
What you will do
  • Lead forecasting engagements for pharma clients, driving business performance through robust, data-driven insights.
  • Develop and manage forecasting models for in-line and pipeline assets across multiple therapy areas.
  • Translate complex datasets and analytical findings into actionable business strategies and recommendations. Collaborate with cross-functional client and internal teams to align on assumptions, scenarios, and methodologies.
  • Identify potential risks and opportunities impacting forecasts and deliver solutions to support decision-making. Contribute to building internal assets and forecasting accelerators
Must Have
  • 5–7 years of hands-on experience in pharmaceutical forecasting (inline and pipeline assets).
  • Strong understanding of key pharma datasets such as LAAD and other secondary data sources.
  • Proficiency in building and managing Excel-based forecasting models; exposure to advanced forecasting tools is a plus.
  • Excellent problem-solving skills with the ability to synthesize insights from complex data sets.
  • Strong communication and client management skills, with experience presenting insights to senior stakeholders.
Source details

View original posting ↗

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Location & working pattern

San Diego, CA

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