Environmental Sustainability Data Analytics Manager

Date: Aug 29, 2025

Location:

Bangalore, India, 560064

Company: Teva Pharmaceuticals

Job Id: 63749

Who we are

Together, we’re on a mission to make good health more affordable and accessible, to help millions around the world enjoy healthier lives. It’s a mission that bonds our people across nearly 60 countries and a rich, diverse variety of nationalities and backgrounds. Working here means working with the world’s leading manufacturer of generic medicines, and the proud producer of many of the products on the World Health Organization’s Essential Medicines List. Today, at least 200 million people around the world take one of our medicines every single day. An amazing number, but we’re always looking for new ways to continue making a difference, and new people to make a difference with.

How you’ll spend your day

Data Collection and Processing
Promote and ensure accurate and efficient collection, processing of periodic environmental data collection processes environmental sustainability data.
Data Integrity and Standardization Management
Monitor, validate, Investigate, communicate and support improvements implementations to enhance data accuracy, consistency, and reliability.
Quantitative Data Reporting and Disclosure
Consolidate and report (internally and externally) data in alignment with Sustainability team expectations and Reporting system format;
Regulatory or ranking platforms expectations.
Validate per-assured data and escort assurance processes
Data Analysis, Interpretation and communication
Conduct in-depth analyses to answer management queries, identify trends, insights, and opportunities for improvement. Operate predictive model to support environmental performance forecasting and decision-making (e.g. Decarbonization Model).
Provide clear and data visualizations to support effective communication, different stakeholders and business needs.
Advisory on Data Management Enhancement
Provide insights and recommendations for data management improvements through lessons learned sessions and prioritized projects

Your experience and qualifications

Data Management & Processing
Proficiency in Excel (advanced), Power Query, and data wrangling techniques
Experience with ETL processes (Extract, Transform, Load)
Understanding of data integrity, quality control, and standardization
Data Analytics & Modeling
Competency in data analysis using tools such as:
Power BI developer (for dashboards and visualizations)
Python or R (for deeper statistical or trend analysis) – optional but preferred
Experience operating or maintaining predictive models (e.g., emission forecasting, MACC, cost-benefit analysis)

Reports To

Director Transformation and PMO

Already Working @TEVA?

If you are a current Teva employee, please apply using the internal career site available on "Employee Central". By doing so, your application will be treated with priority. You will also be able to see opportunities that are open exclusively to Teva employees. Use the following link to search and apply: Internal Career Site

The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.

Teva’s Equal Employment Opportunity Commitment

Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.