Analyst - Workforce Data Analytics L2

Role Purpose

Develop and publish MIS reports, perform data analysis and provide statistical reports and key trends to support for business decisions. Daily, Weekly, Monthly and Quarterly Report generation, PPTs, in-depth and accurate data analysis.

Do

1. BAU reports

Release all daily BAU reports after thorough review. Make sure that all daily reports are released on time and with highest data accuracy.

Generate both periodic and ad hoc reports as needed. Understand customer problems and

Provide appropriate technical solutions. Preparing Month end and Quarter end ppts for management reviews, attending regular meetings. Implementation of new technology and tools in the regular activities.

2. Analyze the data

Interprets data and turns it into meaningful information which can offer ways to improve a business, thus affecting business decisions. Responsible to gather information from various sources and interpret patterns and trends. Creating dashboards and key trends using analytic tools like Power BI so that users can get the desired views. Notify the management of any sudden changes in data / trends.

3. Automation

Responsible to automate all the manual reports to reduce the effort and save time. Regular meetings with the automation team to track the status and target to close all the automation before time.

4. UAT and enhancement in reports

Perform UATs when there is any new changes in the dumps or reports are created. Give the UAT comments, document the test results and deviations. Make changes in existing reports during re-org, design new reports based on new requirement,

5. Cumulating QoQ and WoW details for PSC Parameters for further Comparison and Gap analysis

6. Support and discuss with eHub or Service Line WMG Teams for their queries and respond mailers ontime

7. Data issues along with Issue Tracker needs to be discussed and followed up with TraCE, Confluence, AMG and BI Teams

8. Self development : Learn and implement new technology such as AI, Data Analytics, Statistical models in the BAU reports and Dashboard

Deliver