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[India] Senior Analyst - Marketing Mix Modeling

Pay
Pay not listed
Work setting
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Employment
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What you’ll work on

Full posting
  • Develop and run marketing mix models for US pharma and life sciences brands

  • Prepare and integrate sales, promotional, media and market datasets

  • Apply adstock, saturation, lag and normalization transformations

  • Analyze channel ROI, incremental sales and promotional response

  • Recommend budget allocation and channel optimization

From the employer’s posting
Develop and execute Marketing Mix Models (MMM) for pharmaceutical/lifesciences brands in US.
Prepare and integrate sales, promotional, media, and market datasets for modeling.
Perform data transformations such as adstock, saturation, lag creation, normalization, and feature engineering.
Analyze marketing channel effectiveness, ROI, incremental sales, and promotional response.
Generate actionable recommendations for budget allocation and channel optimization.

What you’ll bring

All qualifications

Core experience

  • Mandatory pharmaceutical or life sciences analytics experience
  • Proficiency in Python and strong SQL
  • Regression modeling, including Ridge/Lasso and Bayesian methods
  • Advanced Excel and PowerPoint
Qualification wording
Mandatory experience in pharmaceutical and life sciences analytics
Proficiency in Python. Strong SQL skills.
Linear Regression Ridge/Lasso Regression Bayesian Regression
Advanced Excel and PowerPoint.
Apply at ProcDNA

Posting record

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Open 3 monthsWe first saw this posting 105 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 31, 2026105 days ago
Recorded sightings
98
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 105

Up longer than most. Similar jobs usually come down between day 8 and day 60.

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

From 11,783 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.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
Hiring record

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  • Python
  • SQL
  • Excel
Where the posting names them
- Excellent analytical and problem-solving skills. Technical Skills- Proficiency in Python. - Strong SQL skills.
Technical Skills- Proficiency in Python. - Strong SQL skills. - Advanced Excel and PowerPoint.
- Strong SQL skills. - Advanced Excel and PowerPoint. Experience with statistical techniques including:- Linear Regression

Your next step

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

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
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 Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

About the Role
We are seeking an experienced Marketing Mix Modeling (MMM) Analyst/Senior Analyst with a strong background in pharmaceutical and life sciences analytics. The ideal candidate will have hands-on experience in developing, interpreting, and delivering Marketing Mix Models for pharmaceutical clients and be comfortable working in a consulting environment.

Key Responsibilities:
  • Develop and execute Marketing Mix Models (MMM) for pharmaceutical/lifesciences brands in US.
  • Prepare and integrate sales, promotional, media, and market datasets for modeling.
  • Perform data transformations such as adstock, saturation, lag creation, normalization, and feature engineering.
  • Build, validate, and interpret regression-based MMM models.
  • Analyze marketing channel effectiveness, ROI, incremental sales, and promotional response.
  • Generate actionable recommendations for budget allocation and channel optimization.
  • Develop client-ready presentations and communicate insights to stakeholders.
  • Collaborate with consulting, data engineering, and commercial strategy teams throughout project delivery.
Required Qualifications
  • 2–3 years of hands-on experience in Marketing Mix Modeling (MMM).
  • Mandatory experience in pharmaceutical and life sciences analytics, with exposure to commercial analytics and Marketing Mix Modeling engagements.
Strong understanding of:
  • Marketing Mix Modeling methodology
  • Regression modeling
  • Adstock and saturation techniques
  • ROI and contribution analysis
  • Model diagnostics and validation
  • Budget optimization, pathway modelling and synergy analysis
  • Experience working with HCP promotion, DTC media, digital marketing, and omnichannel promotional data.
  • Excellent analytical and problem-solving skills.
Technical Skills
  • Proficiency in Python.
  • Strong SQL skills.
  • Advanced Excel and PowerPoint.
Experience with statistical techniques including:
  • Linear Regression
  • Ridge/Lasso Regression
  • Bayesian Regression
  • Multicollinearity assessment
  • Time-series data preparation
  • Model validation
Preferred Candidate Profile
  • Experience delivering Marketing Mix Modelling projects for pharmaceutical clients.
  • Ability to independently execute end-to-end MMM engagements.
  • Strong communication, presentation, and stakeholder management skills.
  • Comfortable working in a fast-paced consulting environment.
Location: Pune, India
Source details

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Pune, Maharashta, India

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