Data Analysis
Bridgewater, NJ, United States
Sanofi
Sanofi pushes scientific boundaries to develop breakthrough medicines and vaccines. We chase the miracles of science to improve people’s lives.Job Title: Data Analysis
Location: Bridgewater, NJ-Hybrid
At Sanofi, we chase the miracles of science to improve people’s lives. We believe our cutting-edge science and manufacturing, fueled by data and digital technologies, have the potential to transform the practice of medicine, turning the impossible into possible for millions of people.
Our vision for digital, data analytics and AI
Sanofi has embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions. This has enabled us, to accelerate R&D, improve manufacturing and commercial performance, and bring novel drugs and vaccines to patients faster, all in order to improve health and save lives.
The Digital Team at Sanofi is a unique data-driven team. We pride ourselves on being data obsessed and highly focused on using state-of-the-art processes along with global technologies to drive impact to our solutions. We measure our insights and products based on how they perform across the globe and hold ourselves to the highest regard as our solutions can impact millions of lives. When tackling a problem, we do not just ask how we will create a solution, but how we will create a solution that reaches across the world with the best possible societal outcome.
If you are passionate about improving the health and wellness of people across the globe using Data as your means, then you should look no farther than the Digital Team here at Sanofi. Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization.
AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.
Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.
World Class Mentorship and Training: Working with renowned, published leaders and academics in machine learning to further develop your skillsets.
Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?
Who You Are:
Reporting directly to the Diamond Product Owner, as a Diamond Data Analyst you will be responsible for managing and analyzing data within the commercial omnichannel space.
This role involves ensuring data integrity, developing analytic & report ready datasets, and providing insights to support business decisions. The ideal candidate will have a strong background in data management, analytics, and business intelligence.
Main Responsibilities:
Reporting directly to the Diamond Product Owner, the Data Analyst will manage business, data and organizational needs.
- Leverage data and facts to identify patterns, using judgment to form conclusions that may challenge conventional wisdom, and focusing on the issues to identify high leverage intervention points and strategies
- Identify and analyze business needs that support the Product strategy, harmonizing across business areas for a harmonized commercial data foundation for all US Brands. Communicate solution tradeoffs to frame and influence project decisions
- Analyze large datasets to identify trends, patterns, and insights that can drive business decisions.
- Design and define ingestion processes to ensure efficient data flow and integration.
- Strong focus on data quality assessments, implement measures to improve data accuracy and reliability.
- Ability to create detailed functional specs and test cases based off business requirements.
- Strong understanding of data warehousing concepts including design patterns and load strategies.
- Proactively monitor industry, functional, and technology trends.
- Identify new opportunities to leverage data and to integrate data or applications to enhance business value. Including, identifying and aggregate data from internal and external sources.
- Deliver in compliance with quality, regulatory (Data Privacy, GxP, SOX, etc.) and cybersecurity requirements.
Technical Requirements & Qualifications:
· Bachelor’s degree in data science, Computer Science, Information Systems, or a related field.
· 3-5 years of experience as an Analyst (performed data manipulation, data analysis, data management).
· Expert in Data manipulation techniques (esp. querying tables with SQL)
· Experience in a commercial pharmaceuticals/biotech/healthcare company is a strong plus
· Knowledge of Six Sigma and Agile practices a plus
· Must be a team player with the ability to collaborate in a fast-moving environment
· Preferred Knowledge of Data Warehousing, Snowflake, SQL, ETL/ELT, Informatica, AWS
· Tools: JIRA, Confluence, Microsoft Suite, including Teams
· Knowledge of digital data such as web, Email, social media, TV etc. highly preferred
Why Choose Us
- Bring the miracles of science to life alongside a supportive, future-focused team.
- Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
The salary range for this position is US $84,000.00 - 112,000.00 (annual). All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the link, www.benefits.sanofiusallwell.com
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Pursue progress, discover extraordinaryBetter is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
US and Puerto Rico Residents Only
Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
Tags: Agile AWS Business Intelligence Computer Science Confluence Data analysis Data Analytics Data management Data quality Data Warehousing ELT ETL Informatica Jira Machine Learning Pharma Privacy R R&D Snowflake SQL Testing
Perks/benefits: Career development Equity / stock options Health care Parental leave Wellness
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