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HR Data science Analyst III

5 months ago

Hyderabad, Telangana, India Bristol Myers Squibb Full time

Summary: The HR Analytics Analyst will play a critical role for BMS, as they will be responsible for applying advanced data analysis and developing dashboards to support data-driven decision-making processes and generating actionable insights. The role is also expected to support advanced analytical needs for various HR stakeholders. This position requires expertise in exploratory data analysis, data wrangling, and dashboard development. The Analyst will collaborate with cross-functional teams and utilize advanced analytical techniques to enhance business performance and drive growth.

Roles & Responsibilities:

  • Partner with HR senior analysts to implement statistical models, decision support models, and optimization techniques to solve complex business problems. Collaborate with cross-functional teams to gather/analyze data, define problem statements and identify KPIs for decision-making
  • Develop, maintain, and manage advanced reporting, analytics, dashboards and other BI solutions for HR stakeholders
  • Perform and document data analysis, data validation, and data mapping / design.
  • Review and improve existing systems and collaborating with teams to integrate new systems
  • Collaborate with HR stakeholders to understand business objectives and translate them into projects and actionable recommendations
  • Partner with senior analysts prepare reports and visualizations to communicate insights and recommendations to stakeholders at various levels of the organization
  • Stay up-to-date with industry trends, emerging methodologies, and best practices related to reporting analytics / visualization optimization and decision support
  • The HR data Engineer will play a critical role in ensuring the availability , integrity of HR data to drive informed decision-making.

Skills and Competencies:

  • Strong analytical thinking and problem-solving skills with a working knowledge of statistical analysis, optimization techniques and decision support models
  • Solid ability to present complex information to non-technical stakeholders in a concise manner; create relevant/appealing powerpoint presentations
  • Proficiency in data analysis techniques, including using Tableau, ETL (Python, R, Domino), SQL
  • Strong attention to detail ,proactively detecting data anomalies and ensuring data accuracy.
  • Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously
  • Strong ability to work with large datasets to ensure accuracy and reliability of analysis
  • Strong project management skills and the ability to work independently or as part of a team
  • Strong business acumen and the ability to translate analytical findings into actionable insights and recommendations
  • Working knowledge of Data modeling to support analytics needs

Experience:

  • We welcome a bachelor's or master's degree in a relevant field such as Statistics, Mathematics, Economics, Operations Research or a related discipline.
  • 5+ years of total experience with hands-on experience in data science;
  • Demonstrated problem-solving skills with deep understanding and practical experience across most Statistical Modeling and Machine Learning Techniques
  • Experience with data querying languages (e.g., SQL), scripting languages (Python)
  • Business experience with visualization tools (e.g., Tableau)
  • Ability to handle, and maintain the confidentiality of highly sensitive information
  • Experience initiating and completing analytical projects with minimal guidance
  • Experience communicating results of analysis to using compelling and persuasive oral and written storytelling techniques
  • Experience in HR analytics a plus