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People Data Modeling and Visualization Expert

海得拉巴, 印度 Regular 发布于   Sep. 01, 2026 申请截止于   Sep. 18, 2026
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Job title: People Data Modeling and Visualization Expert

  • Location: Hyderabad

  • Job type: Full time

About the job

Our team:

The People Services Master Data Management is a team of experts that helps deliver Sanofi’s ambition to democratize access to people and culture data in the company, delivering methods and tools to support data driven decision making. Activities include data visualizations by creating and maintaining People analytic solutions and dashboards for helping requestors to get the insights of selected business topics, data mining to support process simplification and governance of people data foundation.

Main responsibilities:

  • Collaborate with senior leaders and stakeholders to gather requirements for complex people analytics projects

  • Design and implement sophisticated data models to support advanced analytics

  • Develop and maintain a comprehensive suite of people analytics KPIs, including headcount, attrition, internal movement, mean span, and other critical metrics in collaboration with reporting experts and insights leaders

  • Build People data related analysis in Visier – Sanofi’s Global people analytics solution for in-depth visualization

  • Create and maintain interactive dashboards and analysis using various global data visualization tools

  • Conduct advanced data mining and predictive analytics to support strategic HR initiatives

  • Collaborate closely with digital data warehousing teams to leverage enterprise Datamart solutions, and with the Digital HCM team to support extraction from Workday to the warehouse

About you:

  • Experience: Minimum 6 years of data modeling and data extraction expertise. Minimum 3 years of experience working with people analytics KPIs and VISIER visualisation application. Strong people data experience is required. Proven track record in developing and maintaining complex data models for HR analytics. Extensive experience in calculating and analyzing key people analytics metrics (e.g., headcount, attrition, internal movement, mean span). Strong background in developing and maintaining analytics dashboards in VISIER. Solid understanding of data governance concepts and their application in a global context. Experience working in agile development methods, preferably in a global team setting

  • Soft skills: Demonstrated ability to work effectively in an international, matrix environment. Exceptional stakeholder management skills, with experience in global team dynamics. Proven fast learner, able to quickly adapt to new tools and solutions. Strong collaborative skills, able to work across functions with an end-to-end mindset. Excellent communication and requirement gathering skills in a global context. Ability to produce clear, concise, and impactful documentation and presentations. Customer-focused with a keen attention to stakeholder needs and feedback. Strong organizational and prioritization skills in managing multiple global projects. Detail-oriented with a focus on data accuracy and quality. Ability to translate complex data insights into actionable business recommendations. Action-oriented, delivery-driven, and comfortable leading change initiatives. Advanced problem-solving, deductive, and analytical skills

  • Technical skills: Expert-level proficiency in data extraction and data modeling to support advanced analytics data storage. Strong skills in global data visualization tools (e.g., Visier, Power BI, Tableau). Visier experience and exposure to people-related AI methodologies are must. Proficient in HR systems such as Workday or similar global HCM platforms. Power BI DAX, SQL skills; proficiency in Python libraries for data analysis is a strong plus

  • Languages: Fluent in English, with excellent written and verbal communication skills

追寻 发展探索 菲凡

加入赛诺菲,开启科学新时代。在这里,你的成长将如我们的工作成果一样具有变革性。我们帮助你发展,助你走得更远、思考得更快、做前所未有的事。你将与我们一起突破边界、挑战常规,打造更智慧的解决方案,惠及全球社区。准备好追寻科学的奇迹,改善人们的生活了吗?让我们携手追寻发展,探索非凡。

赛诺菲致力于为所有员工提供平等的就业机会,不因种族、肤色、血统、宗教、性别、国籍、性取向、年龄、公民身份、婚姻状况、残疾、性别认同、受保护的退伍军人身份或其他受法律保护的特征而有所差异。

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