Position Title: Data Analytics - Senior Analyst
About the Job
Data Analytics Services (DAS) is a key pillar of the Automation CoE within Sanofi Business Operations. Besides data analytics, the wider team’s scope is comprised of Master Data Management, Process Mining & Process Intelligence and Robotic Process Automation (RPA). DAS is primarily responsible for building and maintaining Power BI dashboards in the finance domain.
What you will be doing:
Main Responsibilities:
People:
(1) Acts as strategic thought partner with People Analytics operations across GBUs.
(2) Develops and maintains expertise on key trends / developments in the industry.
(3) Provides input to strategic deliverables and ensures delivery as per plan.
(4) Identify areas for innovation and implement with external and internal partners.
Performance:
(1) Lead/Mentor teams of experts specialized analytics professionals' others as needed.
(2) Quantitative Strategy Consultant partner with a broad range of internal cross-BU client teams across regions to deliver and advise seamless solutions across the most specific marketing and sales issues facing a stakeholder.
(3) Evaluates the effectiveness of various promotion and marketing programs leveraging secondary data sources, Reporting platforms / ETL Setups.
(4) Mentor the junior team on day to day as well as exceptional cases/ situations.
(5) Monitor progress of work and provide solution to issues and queries.
(6) Share best practices and serve as a change agent and facilitator for operational excellence·
Process:
(1) Support delivery of projects in terms of resourcing, quality, timeliness, efficiency, and high standards for deliverables made by the commercial operations teams.
(2) Contribute to overall quality enhancement by ensuring to meet the defined/agreed quality parameters for the outputs produced by the respective teams.
(3) Secure adherence to compliance procedures and internal / operational risk controls in accordance with any and all applicable regulatory standards.
(4) Lead and implement operational excellence projects within the team in alignment with overall direction from senior leadership using appropriate process improvement tools.
(5) Ensure creating & developing tools, technology, and process in order to constantly improve quality and productivity·
(6) Engaging with the business and Digital workgroup via Agile development
(7) Data transformations in Power Query based on imported data from Snowflake
(8) Data model building
(9) Creating DAX queries
(10) Data visualization / Report building
(11) Dashboard deployment via Power BI Service, User guide / training
(12) Co-operating with Master Data Management to create data dictionary, standards
About You:
Experience:
Soft skills:
Technical skills:
Pursue progress, discover extraordinary!
Better 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, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL-IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
Better 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!
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Salary: $35000-55000
🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.
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