Responsible for providing data analysis to recommend actions of a moderately complex nature to improve business processes to management.
Gather, validate, and analyze data, to successfully manage internal performance reporting and messaging for Operations
Analyze lost productivity within our BPO vendors and estimate budgetary impacts
Compile and analyze interval call volume data and lost productivity risks and make short term schedule recommendations to create operational efficiencies
Own agent performance scorecards, published monthly, to assist management with performance management
Track overtime from a productive and budgetary perspective and forecast expected monthly expense and requirements
Present weekly staffing changes and assist in determining staffing needs to meet operational goals
Assist with labor requirement forecasting and make recommendations on the timing of staff additions based on historical behaviors
Perform frequent ad hoc reporting on demand to assist Operations management with decision making
Qualifications
3 years overall data analysis experience with proven experience in SQL, R, PowerBI, Looker or other data management/visualization tools.
Bachelorβs degree in Mathematics, Economics, Computer Science, or similar field.
Ability to mine data, compile and manipulate in multiple systems/programs and analyze results
SQL (Snowflake)
R
Looker
PowerBI
Python
Ability to create effective presentations for management.