Senior Data Analyst

About the job

Our Team: 

Sanofi Global Hub is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions. Sanofi Global Hub strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, Globally. 

Main responsibilities: 

• Translates Digital team’s needs into analytics/reporting requirements to support executive decisions and workflows with required information
• Proactively mines data warehouses to identify trends and patterns and generates insights for business units and senior leadership.
• Performs large-scale experimentation to identify hidden relationships between variables in large datasets.
• Researches and implements cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient.
• Determines requirements that will be used to train and evolve deep learning models and algorithms.
• Visualizes information and develops engaging reports on the results of data analysis using data visualization tools.
• Ensures that data is managed/analyzed in compliance with applicable quality, regulatory (Data Privacy, GxP, SOX, etc.) and cybersecurity requirements.
• Collaborate closely with the Digital Transformation Data Analyst to deliver Digital Transformation Analytics & Insights
• Partner with the Digital Transformation stakeholders to share valuable data insights.

Collaborate with the Digital Data teams to leverage usage of shared data platforms, data foundations & best practices.

People: 

Maintain effective relationship with the end stakeholders (Business Transformation team) within the allocated GBU and tasks – with an end objective to perform data analysis and develop reports as per requirement 

Performance: 

Independently develops data cleansing and support Master Data Management and other enterprise level systems. 

Partner with Business Transformation team to support:  

Data Management: Follow best practises to manage data including classification/Taxonomy of data, organisation of and accelerating data gathering. Implement and fine-tune data governance guidelines, policies, processes, and controls 

Data Quality: Defines data quality rules and implement automated monitoring, reporting, and remediation solutions 

Develops technical understanding about the data flows from various sources to create a modelled database solution in the data warehouse after performing series of transformations. 

Identify Data gaps between DataMart and Raw data tables and ensure correct data is captured in the databases 

Perform root cause analysis to identify trends and assess impact of data quality issues and support in mapping out the rational for gaps along with carrying business rules harmonization across sources   

Proactively identify opportunities to optimize the performance and efficiency of existing processes/procedures to align countries reporting and global teams reporting using Core BI Snowflake data 

Help the Core BI data collection effort from Snowflake Core BI DataMart  

Process: 

Use methodologies and partner with internal teams to continuously improve data quality and availability by building business processes that support global standardization  

Identify inconsistencies in how data is being reported across teams and countries 

Ability to work cross-functionally, gather requirements, analyse data, and generate insights and reports that can be used by the GBU  

Stakeholders: 

Work collaboratively with the Sanofi Digital team to prioritize work and deliver on time-sensitive requests 

About you  

• Experience: 5+ years of work experience in the fields of information science, data/database management, Data profiling/summarizing & reporting data quality metrics.
• Proven track record in data science, with a focus on people analytics and HR data analysis.
• Experience working in global organizations with a strong digital presence.
• Soft skills: Excellent written and verbal communications skills with demonstrated ability to convey critical and sensitive information in a highly professional manner. 
• Technical skills:  

• Expertise in advanced data manipulation, statistical modeling, and machine learning techniques.
• Proficiency in programming languages such as Python, R, or SQL.
• Extensive experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong knowledge of big data technologies and distributed computing frameworks.  
• Education: Advanced degree (master’s or Ph.D.) in Data Science, Statistics, Computer Science, or a related field.
• Languages: Excellent knowledge in English and strong communication skills – written and spoken 

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, colour, 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!

At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.