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Job description

Role & responsibilities • Drive end to end ownership of HR analytics agenda and projects covering PEC processes • Continuously identify and recommend best practices for applying data mining to increase efficiency and effectiveness of the HR function • Develop dashboard for key impact areas in HR i.e. attrition, performance, talent, LMS operations and recruiting analytics • Lead the delivery of monthly and quarterly reporting that is required for executive leadership (Group Management Committee) and BU people leaders (BU MC/ HR Leadership) • Build consistent solution of automated reporting for Godrej Industries (GI) ensuring integration of all reporting tools/ HRIS systems (if any) for consistency / accurate time stamp of reporting and providing dynamic data reporting / analysis • To maintain consistent and documented compliance with all Data Integrity (DI), Quality and best practice requirements. • To participate in root cause analysis investigations arising from deviations, and complaints. • Use Power query, DAX code, power pivots etc to deliver efficient HR analytics • To assist in the development, collating and reporting of trends and key quality metrics. Preferred candidate profile Education & Qualifications: Bachelors degree in any field with minimum of 5-7 years of experience in data analytics. Competencies and Behaviours: • Proactively taking lead in identifying and resolving the issues • Strong knowledge of power query, power pivot, Power BI dashboards • Strong stakeholder engagement, accountability • Take responsibility and show commitment and engagement towards own work. • Excellent communication and data storytelling skills Knowledge and experience (Experience 5-7 Years) • Preferred candidates from Sales analytics, Financial analytics etc. • HR process knowledge is good to have • Ability to work in fast paced environment, flexibility to adjust with moving priorities and ensuring attention to detail remains first class. • Advance Microsoft Excel for creations of templates/dashboards from scratch. • Use of power query to import and process data from multiple sources • Use of Power BI to create visual dashboards showcasing trend analysis and data reporting

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