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.
[SSF] Senior Engagement Lead - Analytics
San Francisco, CA
Live, first seen by us 50 days ago- 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 postingLead forecasting engagements for pharma clients
Develop and manage forecasting models for inline and pipeline assets
Translate complex datasets into actionable business recommendations
Align client and internal teams on assumptions, scenarios and methods
Identify forecast risks and opportunities and propose solutions
From the employer’s posting
Lead forecasting engagements for pharma clients
Develop and manage forecasting models for inline 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
What you’ll bring
All qualificationsCore experience
- Strong understanding of pharma datasets such as LAAD and secondary sources
- Proficiency in building and managing Excel-based forecasting models
- Strong problem-solving and synthesis of complex data
- Client management and presenting insights to senior stakeholders
Qualification wording
Strong understanding of key pharma datasets such as LAAD and other secondary data sources.
Proficiency in building and managing Excel-based forecasting models
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
Tools in this posting
- Excel
Source — Tool mentions in context
▪ 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.
About ProcDNA
ProcDNA is a global rocket ship in life sciences consulting.
In the employer’s words · Read in context
Posting record
Report an error- 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
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
Your next step
Check the employer’s posting for the current role and application details.
Applying through JazzHR
- 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.
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
About Us:
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 150+ across 6 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 a Senior 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’ll do
▪Lead forecasting engagements for pharma clients, driving business performance through robust, data-driven insights.
▪ Develop and manage forecasting models for inline 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
▪ 8–10 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
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Francisco, CA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
AI answers unavailable
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting