Trainee Data Analyst | Sanofi

Job Description

Main responsibilities:

The overall purpose and main responsibilities are listed below:

• At our Sanofi we are leveraging analytics and technology, on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making that will allow us to tackle some of the world’s greatest health threats.
• Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management.
• Deliverables support planning and decision making across multiple functional areas such as finance, manufacturing, product development and commercial.
• In addition to ensuring high-quality deliverables, our team drives synergies across the franchise, fosters innovation and best practices, and creates solutions to bring speed, scale and shareability to our planning processes. As we endeavor, we are seeking a dynamic talent for the role of “Trainee Data Analyst”
• We are looking for a team member to support our analytics team based out of US. Robust analytics is a priority for our businesses, as the product potential has major implications to a wide range of disciplines.
• It is essential to have someone who understands and aspires to implement innovative analytics techniques to drive our insights generation across franchises.
• Will assist in managing adhoc and regular reporting requests
• He/she will ensure reporting and follow ups on Project Management activities, project resources, budget, and timelines
• He/she will ensure on time and accurate delivery of all analytics and dashboard requirement by collaborating with relevant stakeholders
• He/she will ensure dashboards and metrics are maintained as per requirements
• Ensuring data consistency across all dashboards and analytics requirements
• Pro-actively identifying analytical requirements
• Developing SOPs for dashboards and other analytical needs
• Providing training on analytical tools and usage
• Building advance tools and automate or improve processes for analytical and other needs

About you

• Experience: Up to 1 years’ experience with analytical tools such as (MS Office Suites, SQL, Phyton, R, Power BI, etc.).
• Soft skills: Strong learning agility; Ability to manage ambiguous environments, and to adapt to changing needs of the business; Good interpersonal and communication skills; strong presentation skills a must; Team player who is curious, dynamic, result oriented and can work collaboratively; Ability to think strategically in an ambiguous environment; Ability to operate effectively in an international matrix environment, with ability to work across time zones; Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques
• Technical skills:
  • Proficiency in data analysis tools or programs such as MS Excel, SQL, and/or Python/R/VBA.
  • Basic understanding of statistical concepts and methods.
  • Familiarity with data visualization tools like Tableau, Power BI, or matplotlib.
  • Knowledge of database querying languages such as SQL, Alteryx.
  • Ability to clean, manipulate, and analyse data sets.
  • Familiarity with machine learning algorithms and techniques (depending on the job level).
  • Basic understanding of data warehousing concepts.
  • Experience with data querying and data extraction from various sources.
  • Having problem-solving approach with attention to detail and documentation skills
  • Excellent communication skills to present findings and insights effectively
  • An aptitude for problem solving and strategic thinking
  • Ability to synthesize complex information into clear and actionable insights
  • Basic Understanding of pharmaceutical domain, therapy area product development, manufacturing, supply chain and marketing functions, if any
• Education: Bachelor’s or master’s degree in areas such as Information Science/Operations/Management/Statistics/Decision Sciences/Engineering/Life Sciences/ Business Analytics or related field (e.g., PhD / MBA / Masters);
• Languages: Excellent knowledge in English and effective communication skills – written and spoken