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Pricing Analyst II

Bangalore, Karnātaka, India

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Apply at Thermofisher

What you’ll work on

Full posting
  • Analyze pricing, customer, product, and market data to identify trends, opportunities, risks, and performance drivers.

  • Build and improve pricing models, forecasts, segmentation analysis, sensitivity analysis, and scenarios to support commercial decisions.

  • Develop repeatable reporting, data validation, and analytical workflows using Excel, Power Query, Python, SQL, and BI tools.

From the employer’s posting
How you will make an impact Analyze pricing, customer, product, and market data to identify trends, opportunities, risks, and performance drivers. Build and improve pricing models, forecasts, segmentation analysis, sensitivity analysis, and scenarios to support commercial decisions.
Analyze pricing, customer, product, and market data to identify trends, opportunities, risks, and performance drivers. Build and improve pricing models, forecasts, segmentation analysis, sensitivity analysis, and scenarios to support commercial decisions. Develop repeatable reporting, data validation, and analytical workflows using Excel, Power Query, Python, SQL, and BI tools.
Build and improve pricing models, forecasts, segmentation analysis, sensitivity analysis, and scenarios to support commercial decisions. Develop repeatable reporting, data validation, and analytical workflows using Excel, Power Query, Python, SQL, and BI tools. Support monthly and quarterly price forecasting, variance analysis, and commercial performance reviews.

What you’ll bring

All qualifications

Core experience

  • Experience working with large datasets and applying analytical or statistical methods to business, commercial, or research problems.
  • Python capability for data analysis and modelling, ideally including pandas, NumPy, SciPy, scikit-learn, matplotlib, or equivalent tools.
  • Ability to communicate complex analysis clearly to technical and non-technical stakeholders.
  • Understanding of statistical modelling, forecasting, segmentation, optimization, model validation, sensitivity analysis, and back testing.
  • Ability to diagnose data quality issues, test assumptions, and explain analytical limitations clearly.
  • SQL, Power BI, SAP, Cognos, Git, or similar tools are advantageous.
Qualification wording
Experience working with large datasets and applying analytical or statistical methods to business, commercial, or research problems.
Python capability for data analysis and modelling, ideally including pandas, NumPy, SciPy, scikit-learn, matplotlib, or equivalent tools.
Ability to communicate complex analysis clearly to technical and non-technical stakeholders.
Understanding of statistical modelling, forecasting, segmentation, optimization, model validation, sensitivity analysis, and back testing.
Ability to diagnose data quality issues, test assumptions, and explain analytical limitations clearly.
SQL, Power BI, SAP, Cognos, Git, or similar tools are advantageous.
Education & alternatives
Education and experience - Advanced degree in Mathematics, Statistics, Data Science, Engineering, Economics, Operations Research, or a related quantitative field; or a bachelor’s degree with approximately 2+ years of relevant analytics, pricing, commercial operations, finance analytics, or data science experience. - Experience working with large datasets and applying analytical or statistical methods to business, commercial, or research problems.

Tools in this posting

  • Python
  • SQL
  • Excel
  • Matplotlib
  • NumPy
  • pandas
  • Scipy
  • Power BI
  • Power Query
  • scikit-learn
Source — Tool mentions in context
- Build and improve pricing models, forecasts, segmentation analysis, sensitivity analysis, and scenarios to support commercial decisions. - Develop repeatable reporting, data validation, and analytical workflows using Excel, Power Query, Python, SQL, and BI tools. - Support monthly and quarterly price forecasting, variance analysis, and commercial performance reviews.
- Strong Excel skills, ideally including Power Query. - Python capability for data analysis and modelling, ideally including pandas, NumPy, SciPy, scikit-learn, matplotlib, or equivalent tools. - Understanding of statistical modelling, forecasting, segmentation, optimization, model validation, sensitivity analysis, and back testing.
- Ability to diagnose data quality issues, test assumptions, and explain analytical limitations clearly. - SQL, Power BI, SAP, Cognos, Git, or similar tools are advantageous. Business and behavioural capabilities
Technical capabilities - Strong Excel skills, ideally including Power Query. - Python capability for data analysis and modelling, ideally including pandas, NumPy, SciPy, scikit-learn, matplotlib, or equivalent tools.

About Thermofisher

Our Mission is to enable our customers to make the world healthier, cleaner and safer.

In the employer’s words · Read in context

Job description

View original posting ↗

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

About Thermo Fisher:

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, growing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our distributed team of more than 100,000 colleagues delivers an outstanding combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD. For more information, please visit www.thermofisher.com.

Job Description

At Thermo Fisher Scientific, our Pricing and Commercial Operations teams use data and insight to support better commercial decisions. This role will help strengthen our pricing analytics and statistical modelling capability, supporting decisions across products, customers, markets, and segments.

Role purpose

The Pricing Analyst will turn pricing, customer, product, transaction, and market data into clear insight. The role is suited to someone with strong quantitative skills who enjoys statistical analysis, modelling, data validation, automation, and communicating findings to commercial stakeholders.

How you will make an impact

  • Analyze pricing, customer, product, and market data to identify trends, opportunities, risks, and performance drivers.
  • Build and improve pricing models, forecasts, segmentation analysis, sensitivity analysis, and scenarios to support commercial decisions.
  • Develop repeatable reporting, data validation, and analytical workflows using Excel, Power Query, Python, SQL, and BI tools.
  • Support monthly and quarterly price forecasting, variance analysis, and commercial performance reviews.
  • Assess pricing effectiveness, promotion impact, win/loss trends, customer behaviour, margin movement, and market dynamics.
  • Create clear dashboards, models, and visualizations that translate complex analysis into practical recommendations.
  • Partner with Commercial, Product Management, Marketing, Finance, and Analytics teams to support evidence-based pricing decisions.
  • Document key assumptions, data definitions, methodologies, and process controls to support consistency and scalability.

How you will get here

Education and experience

  • Advanced degree in Mathematics, Statistics, Data Science, Engineering, Economics, Operations Research, or a related quantitative field; or a bachelor’s degree with approximately 2+ years of relevant analytics, pricing, commercial operations, finance analytics, or data science experience.
  • Experience working with large datasets and applying analytical or statistical methods to business, commercial, or research problems.
  • Exposure to pricing, forecasting, revenue management, marketing analytics, commercial analytics, or finance analytics is preferred but not essential.

Technical capabilities

  • Strong Excel skills, ideally including Power Query.
  • Python capability for data analysis and modelling, ideally including pandas, NumPy, SciPy, scikit-learn, matplotlib, or equivalent tools.
  • Understanding of statistical modelling, forecasting, segmentation, optimization, model validation, sensitivity analysis, and back testing.
  • Ability to diagnose data quality issues, test assumptions, and explain analytical limitations clearly.
  • SQL, Power BI, SAP, Cognos, Git, or similar tools are advantageous.

Business and behavioural capabilities

  • Commercial curiosity and the ability to connect analysis to pricing, margin, growth, customer behaviour, and business performance.
  • Strong attention to detail, problem-solving discipline, and comfort working through ambiguity.
  • Ability to communicate complex analysis clearly to technical and non-technical stakeholders.
  • Collaborative working style across Commercial, Product Management, Marketing, Finance, and Analytics teams.
  • Personal accountability, openness to feedback, and a continuous-improvement mindset.

As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.

At Thermo Fisher Scientific, each one of our 100,000 extraordinary minds has a unique story to tell. Join us and contribute to our singular mission—enabling our customers to make the world healthier, cleaner and safer. Apply today http://jobs.thermofisher.com. Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

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 thermofisher.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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Location & working pattern

Bangalore, Karnātaka, India

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Status in our records
Active
First seen by us
Jul 1, 2026
Recorded sightings
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Last seen by us
Oct 9, 2026
Employer says posted
Jun 23, 2026

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