Assistant Manager- HR Analytics and CPI

Godrej Properties

Mumbai

On-site

INR 900,000 - 1,500,000

Full time

13 days ago

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Job summary

Godrej Properties seeks an experienced HR analytics professional to drive end-to-end analytics programs, develop dashboards for attrition, performance, talent, LMS operations and recruiting analytics, and deliver monthly and quarterly executive reports.

You will integrate reporting tools/HRIS for consistent, timestamped data reporting, ensure data integrity, and apply advanced Excel and Power BI techniques to transform data into actionable insights for decision-makers.

Qualifications

  • Bachelor's degree with 5-7 years of experience in data analytics.
  • Strong knowledge of Power BI dashboards and data storytelling.
  • Experience in applying data mining or analytics to HR processes is a plus.

Responsibilities

  • Drive end to end ownership of HR analytics agenda and projects covering PEC processes
  • Identify and recommend best practices for applying data mining to increase efficiency and effectiveness of the HR function
  • Develop dashboard for key HR impact areas (attrition, performance, talent, LMS operations, recruiting analytics)
  • Lead monthly and quarterly reporting for executive leadership and BU HR leadership
  • Integrate reporting tools/HRIS systems for consistent, timestamped reporting and dynamic data reporting
  • Maintain compliance with Data Integrity, Quality and best practice requirements
  • Participate in root cause analysis investigations arising from deviations or complaints
  • Use Power Query, DAX code, Power Pivot to deliver efficient HR analytics
  • Assist in development and reporting of trends and key quality metrics

Skills

Power BI
Power Query
Power Pivot
Data storytelling
Stakeholder engagement
Communication

Education

Bachelor's degree

Tools

Microsoft Excel
Power BI

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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