[India] Senior Analyst - Marketing Mix Modeling
Pune, Maharashta, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Tools in this posting
- SQL
- Excel
- Python
Source — Tool mentions in context
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
- Excellent analytical and problem-solving skills. Technical Skills- Proficiency in Python. - Strong SQL skills.
Job description
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:
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.
- 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.
- 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.
- Proficiency in Python.
- Strong SQL skills.
- Advanced Excel and PowerPoint.
- Linear Regression
- Ridge/Lasso Regression
- Bayesian Regression
- Multicollinearity assessment
- Time-series data preparation
- Model validation
- 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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on procdna.applytojob.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
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
Pune, Maharashta, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jul 31, 2026
- Recorded sightings
- 46
- Last seen by us
- Sep 30, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.