Senior Data Analyst

Job description

Coders Connect are partnering with Sanofi.

Who we are in a nutshell: We are a global biopharmaceutical company focused on human health.

Our purpose is to find treatment to fight pain and ease suffering.

We combine breakthrough science and advanced technology to develop life-changing medicines and vaccines.

Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform to develop & deliver medicine faster, enable healthcare professionals to improve treatments and help patients improve their health.

Our scale, strong connections within health ecosystems across leveraging the world, and ability to leverage Sanofis capabilities make us the best place to push the boundaries of medicine through technology.

You as a Data Analyst: As a Data Analyst, you will have a direct impact on the business by deriving insights from Data and ensuring the quality, usability, and security of Sanofis data.

You are analytical, creative, and collaborative.

You have keen attention to detail and take the time to understand our stakeholders data needs and challenges.

You continually seek to improve your knowledge of new technologies and industry standards to drive the development of simple, yet effective solutions.

You enjoy partnering with stakeholders to design and implement data management best practices and procedures.

You are a self-starter, see challenges as opportunities, and are results oriented.

You take pride knowing your work enables innovation and helping Sanofi build better solutions.

Your key responsibilities will be: Perform data analysis and provide input to solution design and architecture to ensure the solution meets requirements Extracts, aggregates, manipulates, categorizes, cleans, and transforms data associated within an identified problem space Performs exploratory data analysis and feature generation Identify, analyze, and interpret trends or patterns in complex data sets Drive alignment across stakeholders on enterprise data models and definitions Partner with stakeholders to get buy-in on, develop, and implement Sanofis data management standards, policies, and best practices Actively solicit stakeholder feedback on solutions and drive improvements as needed Gather requirements needed to sustainably implement data management standards Recommend KPIs and develop reports to monitor adoption of and adherence to data management standards Requirements Key Technical Requirements & Qualifications: Strong experience in SQL writing and profiling of Data & Python Strong capacity to develop consistent, clear analysis and report potential issues Familiarity with data science methods and scaling data science methods Good knowledge of cloud computing and data storages.

Knowing AWS is a plus Excel, PowerPoint, Word One or multiple of the following visualization skills: Tableau, PowerBI, seaborn, matplolib, plotly, ggplot, bokeh Project management & support: JIRA projects & service desk, Confluence, Teams Knowledge of Informatica Suite of Tools Additional qualifications: Strong understanding of databases and data structures Experience with process design, implementation, and improvement Exposure to tools used to support data management, specifically business glossary and metadata management, data cataloging, and data quality Strong ability to identify, quantify, and effectively raise business risks associated with data quality or non-compliance Experience developing best Lean & Agile practices, policies, and/or procedures Rigorous, attention to detail to map data systems and curious to understand what is behind each data field Understanding of privacy laws and regulations Soft and behavioral skills: Excellent written and verbal communication skills Experience working with multiple teams to drive alignment and results Service-oriented, flexible, positive team player Self-motivated, takes initiative Problem solving & critical thinking Your background: 3-5 years of experience as Data Analyst Preferred qualifications: Masters Degree in Data Analytics, Mathematics, Economics, Computer Science, Information Management or Statistics Experience in a healthcare company is a strong plus

4-5 years
Key Technical Requirements & Qualifications: Strong experience in SQL writing and profiling of Data & Python Strong capacity to develop consistent, clear analysis and report potential issues Familiarity with data science methods and scaling data science methods Good knowledge of cloud computing and data storages.

Knowing AWS is a plus Excel, PowerPoint, Word One or multiple of the following visualization skills: Tableau, PowerBI, seaborn, matplolib, plotly, ggplot, bokeh Project management & support: JIRA projects & service desk, Confluence, Teams Knowledge of Informatica Suite of Tools Additional qualifications: Strong understanding of databases and data structures Experience with process design, implementation, and improvement Exposure to tools used to support data management, specifically business glossary and metadata management, data cataloging, and data quality Strong ability to identify, quantify, and effectively raise business risks associated with data quality or non-compliance Experience developing best Lean & Agile practices, policies, and/or procedures Rigorous, attention to detail to map data systems and curious to understand what is behind each data field Understanding of privacy laws and regulations Soft and behavioral skills: Excellent written and verbal communication skills Experience working with multiple teams to drive alignment and results Service-oriented, flexible, positive team player Self-motivated, takes initiative Problem solving & critical thinking Your background: 3-5 years of experience as Data Analyst Preferred qualifications: Master’s Degree in Data Analytics, Mathematics, Economics, Computer Science, Information Management or Statistics Experience in a healthcare company is a strong plus

Required Skill Profession

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