Diageo India - Lead - Data & Analytics

Female Candidates Preferred

Organization : Diageo India Department : IT Date :

Position : Lead Data & Analytics Incumbent

TYPICAL ROLE REQUIREMENTS :

Qualification:

- Graduate in Statistics/Economics/Quantitative sciences/ Engineering or equivalent

- Master's / MBA preferred

Experience :

- 7-9 years of experience in a similar background

- 4-5 years of experience in leading analytics teams

Knowledge & skills :

- Knowledge of of data modeling

- Business analytics, decision trees, cluster analysis, analytics tools

- Master data management

- Data warehousing

Best suited for someone who :

- Can identify opportunities and bring new technologies to the table

- Ability to lead teams

- Is technically savvy

- Is analytically oriented

AREAS OF RESPONSIBILITY :

Analytics :

- Support executive decision making by sharing insights derived from advanced analytics

- Identify, develop and deliver key analytics projects based on the defined overall business strategy that will make a significant impact on the organization

- Responsible for owning all the data sources (coming in and going out) and ensuring data availability within USL across all systems

- Responsible for setting up processes and systems for master data management

- Work closely and collaborate with multiple stakeholders such as business partners, solution architects and analysts to design tools using latest technologies

- Design and develop data warehouse to ensure global alignment and scalability

- Ensure smooth data exchange across applications avoiding any duplication

- Lead the delivery of agreed reports, dashboards and analytics through service providers

- Responsible for modelling complex problems and processes using various analytical tools and methods

- Work across functions & teams to solve problem, measure and track suitable metrics for efficiency and effectiveness

- Display knowledge of different Data Analytics Tools/ Techniques, Database Management Systems, Statistical Modelling and optimization

- Develop deep capabilities in reporting, testing and optimization, measurement and customer segmentation to service business needs

- Efficiency of using different analytics tools/ techniques

- Quality of insights and actionable submitted

- No. of insights submitted as per the agreed time frame

- TAT for reports/dashboard that need to be published

- Accuracy of reports/ dashboard that need to be published