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HR Analytics Analyst II

4 weeks ago

Hyderabad, Telangana, India Bristol Myers Squibb Full time

Working with Us :

Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more & Responsibilities :

- Develop, maintain, and manage advanced reporting, analytics, dashboards and other BI solutions for HR stakeholders.

- Partner with senior analysts build visualizations to communicate insights and recommendations to stakeholders at various levels of the organization.

- 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/analyse data, define problem statements and identify KPIs for decision-making.

- Perform and document data analysis, data validation, and data mapping/design.

- Collaborate with HR stakeholders to understand business objectives and translate them into projects and actionable recommendations.

- Stay up to date with industry trends, emerging methodologies, and best practices related to reporting analytics / visualization optimization and decision support.

The HR data Analyst 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 working knowledge of statistical analysis, optimization techniques, and decision support models.

- Ability to present complex information to non-technical stakeholders in a clear and concise manner; skilled in creating relevant and engaging PowerPoint presentations.

- Proficiency in data analysis techniques, including the use of Tableau, ETL tools (Python, R, Domino), and statistical software packages.

- Advanced skills in Power BI, Power Query, DAX, and data visualization best practices.

- Experience with data modelling, ETL processes, and connecting to various data sources.

- Solid understanding of SQL and relational databases.

- Exceptional attention to detail, with the ability to proactively detect data anomalies and ensure data accuracy.

- Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously.

- Strong capability to work with large datasets, ensuring the accuracy and reliability of analyses.

- Strong business acumen, with the ability to translate analytical findings into actionable insights and recommendations.

- Working knowledge of data modelling to support analytics needs.

- Experience conducting thorough Exploratory Data Analysis (EDA) to summarize, visualize, and validate data quality and trends.

- Ability to apply foundational data science or basic machine learning techniques (such as regression, clustering, or forecasting) when appropriate.

Experience :

- Bachelor's or master's degree in a relevant field such as Statistics, Mathematics, Economics, Operations Research or a related discipline.

- Minimum of 3+ years of total relevant experience.

- Business experience with visualization tools (e.g., PowerBI).

- Experience with data querying languages (e.g., SQL), scripting languages (Python).

- Problem-solving skills with understanding and practical experience across most Statistical Modelling and Machine Learning Techniques. Only academic knowledge is also acceptable.

- 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.

- Hands-on experience working with large datasets, statistical software packages (e.g., R, Python), and data visualization tools such as Tableau and Power BI.

- Experience with ETL processes, writing complex SQL queries, and data manipulation techniques.

- Experience in HR analytics a nice to have.

(ref:hirist.tech)