Lead HR Data and Analytics

5 days ago

India YES BANK Full-time
Job

Location:
YES BANK House Santacruz Office, Mumbai, India

Job Type
Permanent | Job Nature : Full Time |

Experience:
( 7
- 10 Years ) We are looking for someone who has strong analytical skills, proficiency into data crunching, and has lead a team of analytics in the past. Has the ability to convert complex data into meaningful visual reports. The person should be forthcoming, proactive and a strong team player and has ability to manage a team.

Experience:
7-10 years

Key Responsibilities
• Lead the development of HR analytics frameworks covering headcount, attrition, talent acquisition metrices, diversity etc.
• Convert complex HR data into clear insights, dashboards, and executive-ready narratives for senior leadership
• Identify workforce risks and opportunities and recommend data-backed interventions
• Own end-to-end design, and execution of all dashboards and ensure accuracy, consistency, and timeliness of reporting using Power BI or other similar tools
• Work closely with HR leaders and HR folks to understand data requirement and deliver appropriate insights
• Develop advanced excel models to perform data analysis and support HR initiatives
• Handle audit queries, Ad Hoc request from leaders, and prepare data for regulatory reporting
• Review all year end reporting that is required for annual report of the organization
• Apply statistical techniques to identify drivers of attrition and build predictive model
• Mentor and guide team members to build analytical capability within the team
• Review outputs for quality, accuracy and effectiveness Skills And Qualifications
• Strong knowledge of Microsoft Excel, Power BI
• Knowledge of scripting language such as R Programming / Python
• Strong attention to detail and ability to handle complex data with accuracy
• Ability to work independently and as a part of team
• Team management
• Structure problem-solving and critical thinking
• Ability to work independently in a fast-paced environment
• Experience working with large HR datasets and multiple source systems
• Ability to present the analysed data to the Senior management and draw inference