Lead - HR Analytics

Lead -HR Analytics

Leading Financial Services Provider is in search of Senior Analytics Professionals to lead the analytics team

Location : Chennai

Experience : 7-10 years

Education and Experience :

- Post graduate degree in Economics/ Statistics/Mathematics/Similar Quantitative Discipline/MBA from a Premier Institution is mandatory

- 7 -10 years of experience in data modeling and predictive analytics, with software tools & packages like R, Python, SAS and SQL would be considered.

- Experience in the HR analytics area will be an added advantage.

- Expertise of data analytics and Decision Sciences areas (predictive modeling, data mining, deep-dive strategic analysis) would be an added advantage.

- Good experience in Team Handling and People Management

- Strong Experience in Predictive analytics techniques (Survival Analysis, Logistic regression etc.) will be an added advantage

Key Responsibilities :

- Engage with business partners and key stakeholders to understand project requirement and implement the same using sound data knowledge and experience

- Providing sophisticated statistical modeling, data mining/predictive analytics, advanced measurement, and other analytical techniques to gain insights, and support strategic decision making in the HR Analytics space

- Profiling and analysis : Combining in-depth business knowledge, insights, and techniques such as data visualization, cross-tabs, statistical tests, and data mining techniques to identify insights and trends

- Provide cutting edge statistical modeling, data mining/predictive analytics, advanced measurement, and other analytical techniques to gain insights, and support strategic decision making

- Apply well-honed quantitative analytical skills and economic understanding to a broad range of projects .

- Be the go-to-person for the project teams to gain knowledge about the industry landscape, products and services, and terminology specific to the BFSI industry

- Comparison of techniques using validation to arrive at the best model using SAS, R.

- Handle multiple projects in parallel with an eye to final packaging or finished deliverables (Projects can range from strategic analysis to Predictive modelling t0 Prescriptive analysis.)

- Communication of findings, concerns, ideas, project management elements to multiple stakeholders in an offshore-onshore environment