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Are you ready to join the team that is responsible for call center capacity planning and quantitative analyses Our Workforce Planning team is a highly-collaborative inclusive environment where we value relationship-building, strategic thinking, and solution-oriented members.
As an Analytics Solutions, Senior Associate on the Capacity Planning Team within Workforce Planning, you will be responsible for call center capacity planning, quantitative analyses, and the summarization of multi-sourced data into meaningful and actionable business intelligence within our global call center and correspondence network. Your key accountabilities are managing staffing/capacity plans and leading the preparation of presentations, from ideation to executive hand-off. It is an excellent opportunity for a self-starter who thrives in a fast-paced and team-oriented environment where strong analytical skills, business acumen, and superior communication skills are leveraged to support our company's ability to deliver service excellence to our customers.
Job responsibilities
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities and skills
Minimum six years experience working in large call center, multi-site, or similar environments
College degree or similar work experience preferred
JPMorgan Chase Bank, N.A., doing business as Chase Bank or often as Chase, is an American national bank headquartered in New York City, that constitutes the consumer and commercial banking subsidiary of the U.S. multinational banking and financial services holding company, JPMorgan Chase
Job ID: 149953355
Skills:
Ui Path, Power Automate, Python, Alteryx, Power Apps, Signavio, Microsoft Office Excel
Skills:
Machine Learning Algorithms, Python, Sql, Power Bi, Natural Language Processing, Excel + VBA, R
Skills:
lifecycle management , Bi Tools, Distributed Systems, Data Modeling, Power Bi, Tableau, Solution Design, ELT, Data Quality, Gcp, Sap Bo, Data Architecture, Data Lake, Data Governance, Azure, Etl, Leadership, Pipelines, Designing Large-scale Data Platforms, Modern Data Architectures, Lakehouse, Data Mesh, Stakeholder Management
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