1+ years of tax, finance or a related analytical field experience - 2+ years of complex Excel VBA macros writing experience - Bachelor's degree or equivalent - Experience defining requirements and using data and metrics to draw business insights - Experience with SQL or ETL Key job responsibilities Position Responsibilities: - Develops projects of Machine Learning, Robotic Process Automation and general analytics - Drives the maintenance of machine learning tools - Works very closely with CPA and GCC teams from Worldwide Capacity Planning to ensure daily service levels in all Operational Units. - Identifies and mitigates emerging risks and assists in potential plans for service level protection/recovery. - Accountable of time and quality delivery of the Production Hours/Commitments process for the site. - Makes call outs and request actions to OPS to lever staffing needs (ie: OT, swaps, schedule changes, VTO) based on forecasted volume. - Reviews schedule request scenarios and provides leadership with impact analysis and recommendations. - Proactively plans to protect PTL/NPT allowance - Manages planned shrinkage to protect SL goals. - Coordinates site staffing needs, including the reporting and analysis of site head count numbers per Operational Unit Coordinates various cross-training opportunities. - Schedule placement of new hire associates. - Develops /maintains a series of workflow related trackers that drive day to day site-wide production efficiency (PTL, Shrinkage, OT/VTO fill rates. - Drives special projects designed to maximize efficiency and increase production. ' About the team Tech Skills - Data Warehousing, Modelling and SQL expertise to build and optimize queries and extract data - VBA and Python expertise to handle large data sets and smoothen existing/redundant processes - Visualization expertise to create stand-alone dashboards using visualization tools i.e. QuickSight, Power BI & Tableau - Knowledge and direct experience using business intelligence reporting / visualization tools (Excel, Microstrategy, OBIEE, Business Objects, Cognos, Tableau, Cubes, etc.) - Experience data modeling and transformation of large-scale data sources using SQL, Hadoop, Spark, Hive, EMR, or other Big Data technologies - Knowledge of scripting for automation (e.g. Python, Perl, R etc. ) - Experience working with Tableau - Experience using very large datasets