Джерело: CrawlJobs
Ця вакансія не має повного перекладу вибраною мовою. Нижче показано оригінальний зміст.

Sr Analyst, People Analytics & Insights

Cencora Pune, Індія
Повна зайнятість Робота на місці

Дата публікації: 29.08.2026

The Senior Analyst supports the People Analytics and Insights team by performing foundational data analysis, maintaining workforce datasets, generating insights, and enabling HR and business stakeholders with high-quality reporting and dashboards to improve the effectiveness of workforce planning and strategic initiatives.

Responsibilities

Analyze HR and workforce data to identify trends and opportunities; Develops scorecards, dashboards, and reports that effectively depict workforce metrics in a concise and actionable manner; Prepare datasets for forecasting headcount, hiring, turnover, and payroll; Support development and maintenance of workforce planning templates and documentation; Conduct data quality checks, support reconciliations, and document issues; Collects and synthesizes large data sets, carries out quantitative and qualitative analysis, and interprets and draws conclusions; Prepare data for forecasting models related to headcount, turnover, hiring, and payroll expense; Prepare recurring and ad hoc analytics deliverables for HRBPs, COEs, and business leaders; Produces reports and utilizes them to perform data analyses to be summarized into key findings; Provide guidance to HR partners on dashboard usage and data interpretation; Communicates data to key stakeholders to support informed business decisions; Identifies opportunities to automate / streamline reports; Troubleshoot reporting and data issues; Monitor workforce data quality across systems and support discrepancy resolution

Requirements

Advanced Degree in Statistics, I/O psychology or other quantitative social science field and 1+ years of experience in a people analytics or similar role; OR 4+ years of experience in people analytics or similar role with a Bachelor’s Degree in Statistics, I/O psychology or other quantitative social science field; Strong quantitative skills and proficiency with analytical and data visualization tools such as SQL, R, Python, SPSS, STATA, Minitab or Power BI; Analytical and curious thinking style with passion for problem solving and telling compelling stories using data; Ability to define problems and manage projects in a fast-paced organization; Ability to translate data into clear, relevant insights and communicate results to audiences at all levels of technical expertise; Demonstrated strengths in collaboration and influencing skills and ability to anticipate problems and opportunities; Experience creating compelling and intuitive data visualizations and presentations; Great attention to detail and ability to deliver exceptional quality in reports and data analysis; Working experience with HCM platforms such as Workday, ADP, and Degreed; Ability to interpret workforce data; Proficiency in data visualization and dashboards; Strong attention to detail; Good communication and collaboration skills; Ability to translate data insights for non-technical audiences; Ability to communicate effectively both orally and in writing; Strong organizational skills; Working knowledge of procurement (purchasing); Ability to create and manage budgets and expenses; Strong interpersonal skills; Strong leadership skills; Strong presentation skills; Strong computer skills in order to operate effectively with company systems and programs; knowledge of Microsoft Word, Excel, PowerPoint, Project, and Visio; Bachelor’s Degree in Statistics, Computer Science, Information Technology or any other related discipline or equivalent related experience; 4+ years of directly-related or relevant experience, preferably in healthcare data analytics or business intelligence; Critical Thinking; Detail Oriented; Impact and Influencing; Interpersonal Communication; Multitasking; Problem Solving; Time Management; Advanced Data Visualization Techniques; Business Intelligence (BI) Reporting Tools; Data Analysis and Synthesis; Data Management; Programming languages like SQL; Business Intelligence Software like Tableau, Power BI, Alteryx, QlikSense; Microsoft Office Suite; Relational Database Management Systems (RDBMS) Software; Data Visualization Tools

Nice to have

Power BI Data Analyst Associate Certification; Tableau Certification
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