Data Analytics - Analyst

Position Title: - Data Analytics - Analyst
Location: Hyderabad
About The Sanofi SBS CoE Team
We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.
Sanofi’s Business Services hosts a number of global Centers of Excellences (CoE), within which Data, Process and Automation CoE team’s mission is to act as a transformation engine to bring Sanofi processes and data into next level of transparency and through digital transformation achieve best in class performance. Our team is located in SBS hubs in Budapest, Kuala Lumpur and Bogota. Join a dynamic and enthusiastic team using the latest technology including AI, ML and other best in class applications to chase the miracle of science.
About Growing With Us
ROLE PURPOSE
Be a part of a multi-cultural global organization driving digitalization through data visualization. As an experienced Data Visualization Specialist, being a part of the Global Data Process Automation CoE Team of Sanofi Business Services, you will analyze processes and data (e.g. to Purchase to Pay, Accounts to Report, Customer invoice to Cash, Contracting and Human Resources), create dashboards, generate KPIs, based on transactional and non-transactional data from ERP and workflow systems. Being an enabler, you will partner alongside with the businesses to improve our End-to-End Core Model turning data into conclusive information for decision making with visualization tools.
KEY RESPONSBILITIES
This position is responsible for designing and implementing KPI dashboards to add value to the businesses by improving the business processes and improve efficiencies (e.g., delays in process flow) and compliance violations (e.g., control circumvention) across all Sanofi Business Service Lines.
The following key activities will be performed by this role:
Identify and define what are required for data analysis.
Collect data that are required for data analysis.
Perform data cleaning if it is necessary.
Analyze, manipulate, and interpret the data from the data analysis.
Maintain interactive dashboards for any changes.
Help to build up continuous development pipeline.
Coordinate projects and stakeholders for ongoing initiatives.
Educate and enable the business users to use the data visualization tools.
Act as a consultant for any data visualization related topics for the stakeholders.
Help to identify if there are any gaps in the process for process continuous improvement.
Expected Skills
Candidate must possess at least a bachelor’s degree, Post Graduate Diploma, Professional Degree or master’s degree in quantitative subject (computer science, mathematics, engineering, statistics or science).
Systems:
Process Analytics:
Data Science experience to build business cases for machine learning opportunities is a great plus.
Advance level in Power Query Editor, DAX functions, Power BI Development (Desktop), Microsoft SQL Database and Microsoft Excel knowledge.
Having some hands-on experience and proficient in developing and maintaining dashboard in Power BI.
Business Systems:
Optional - Knowledge of transactional / back-office systems or reporting systems (SAP, Workday, eBuy/ Coupa, …)
Overall Technology savviness
Openness to new tools.
Processes:
Optional - Process assessment, modeling, and harmonization tools and techniques (e.g. Lean)
Strong analytical skills
Project management:
Optional - Knowledge of applicable Project methodologies (PM Methodology, Agile / Scrum) preferable
Optional - Exposure to one or more data analysis packages or database, eg.. SAS, R, SPSS, Python, VBA, SQL
Requirements gathering skills, able to understand analyze and visualize data.
Strong ability to review, recommend and implement technologies and tools.
Strong delivery orientation - converting strategy and high-level plans into action to realize sustainable business value
Transversal mindset and ability to work across processes, geographies, languages, cultures and business maturity levels
Good written skills with the ability to produce clear and concise documentation
High level of Interpersonal/ communication skills with an ability to communicate and present at different levels of the organization
Good presentation skills with the ability to present non-technical details to a technical
Audience and vice versa
Fluency in English mandatory

Work arrangement
No