A career with MilliporeSigma is an ongoing journey of discovery: our 58,000 people are shaping how the world lives, works and plays through next generation advancements in Healthcare, Life Science and Electronics. For more than 350 years and across the world we have passionately pursued our curiosity to find novel and vibrant ways of enhancing the lives of others. MilliporeSigma is a business of Merck KGaA, Darmstadt, Germany.
Your role:
At MilliporeSigma, the Data Analyst's primary focus areas is harnessing the power of our data to best serve our customers. In this role, you will be part of a growing and global team of data and analytics experts to enable MilliporeSigma's Life Science business with state-of-the-art technology to leverage data as an asset and to take better informed decisions.
The Life Science Analytics Center of Excellence (ACE) is responsible for designing, developing, testing, and supporting data analyses, models and algorithms on Life Science's data management and analytics platform (Palantir Foundry, Tableau and other components). This role will be part of the Use Case delivery team that is responsible for driving approved and prioritized use cases forward. You will be project based and may work across multiple smaller projects or a single large project utilizing an agile project methodology.
- Develop high quality data analyses, analytical models, and algorithms supporting our data analytics use cases and solving critical business problems
- Make insights accessible for business stakeholders by providing standardized reports & visualizations
- Act as business analyst for developing requirements for data analyses
- Participate in end to end project lifecycle, from requirements analysis to go-live and operations of an application
- Document technical work in a professional and transparent way. Create high quality technical documentation
- Deploy applications on the data platform with clearly defined checks
- Implement changes and bug fixes
- Setup DevOps project following Agile principles (e.g. Scrum)
Who you are:
Basic Qualifications:
- Bachelor's Degree in Economics, Information Technology, Statistics, Data Science, Computer Science, Engineering, Mathematics, or related discipline
Preferred Qualifications:
- Quantitative and qualitative skills; being able to analyze data, draw conclusions, identify trends and issues, and diagnose root cause of issues
- Experience with and knowledge in performing regression, classification, natural language processing, named-entity recognition
- Experience in applying Python/ Pyspark code to business problems
- Experience in manipulating database data using SQL.
- Familiarity with views, functions, stored procedures, and exception handling
- Understanding of user authorization
- Understanding of Life Science business as well as business domains (ie Sales, Marketing, Controlling, etc)
- Self-driven problem analysis, solving and communication is a must
- Written and verbal communication skills, with ability to communicate effectively within the team
- Progressive thinker and problem solver, with a strong ability to manage ambiguity/complexity
RSRMS
What we offer: With us, there are always opportunities to break new ground. We empower you to fulfil your ambitions, and our diverse businesses offer various career moves to seek new horizons. We trust you with responsibility early on and support you to draw your own career map that is responsive to your aspirations and priorities in life. Join us and bring your curiosity to life!
Curious? Apply and find more information at [Link available when viewing the job]
The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law. This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.