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Data Analytics Manager

Req #: 180006767_1
Location: Columbus, OH, US
Job Category: Operations
Potential Referral Amount: 0 US Dollar (USD)
  • Data Analytics Manager - Branch Workforce Planning, Vice President
    The Business Planning and Analysis team is a part of Consumer and Community Banking Finance and is responsible for developing and managing staffing plans to ensure CCB Operation’s business objectives are met. The primary responsibilities of this team include volume / demand forecasting, capacity planning, resource scheduling and business analysis/support. This is a key role within a new team that has been developed to lead resource planning for Chase’s ~5,200 retail branches.
    This position will lead the development of the analytical framework and infrastructure needed to provide all leadership levels with the business insights needed to ensure our branches are optimally staffed and that our customer service goals are being met. In addition to generating analytical insights, this position must be able to navigate operational realities and design solutions that work in the real world. They should possess the ability to create and execute a plan to bring their ideas across the finish line.
    This role leverages proven technical abilities in a quantitative field to design and automate data based solutions and algorithms that both improve the customer experience and impact the bottom line. He or she can manipulate large and diverse datasets to extract meaningful business information solve real-world business problems. We need someone who is extremely intellectually curious and has a proven ability to manage large data sets and help build advanced analytical solutions in an operations environment.
    The ideal candidate will be an innovative thought leader with the technical ability to drive process improvement across systems and platforms. This position requires working collaboratively amongst other talented team members and across the broader organization. A big part of the role is to be able to ask open-ended questions, identify issues, explore new ideas, and choose appropriate techniques for solving a given problem.
    Specific responsibilities include:
    • Design data driven tools and models to bring logic and structure to sometimes loosely defined, unstructured problems and ideas
    • Develop analytical tools to optimize and improve decision making
    • Improve the accuracy and efficiency of existing algorithms, models, and forecasts
    • Support the business through ad-hoc queries and analysis
    • Write clean and concise code in SAS and SQL to answer specific business questions
    • Assist in executing existing analytical and reporting responsibilities
    • Take complex results and communicate them in an easily understood way, focusing on how data analytics fits into the bigger picture
    • Persuade, inform, and influence others based on findings through both verbal and written communication
    • Ensure a high degree of data quality and accuracy in all results and reporting
    • Possess strong interpersonal skills for partnering with various levels of the organization and influencing results

Preferred qualifications:
  • Analytical Acumen:  Past experience (educational or professional) in a quantitative discipline such as Statistics, Applied Math, Operations Research, Economics, or Computer Science
  • Data Analysis:  Strong background in forecasting, statistics, modeling, and optimization as demonstrated by either industry experience or academic research
  • Data Acquisition:  3 to 5 years of database experience with advanced SAS and SQL skills; experience researching and manipulating complex and large data sets
  • Model Development:  Extensive experience building analytical or forecasting models and tools using SAS, R, or similar programs
  • Attention to Detail:  Must have a high degree of attention to detail, specifically in ensuring all reports and underlying data are accurate
  • Analytical Rigor:  Ideal candidate would be an analytical thinker with superior data analysis skills; synthesizing information across multiple platforms, systems, and organizations
  • Communication:  Ideal candidate would be able to develop and deliver concise presentations that clearly articulate challenges, actions and results for complex matters - creating clarity and a bias for action with key stakeholders. Ideal candidate would be able to crisply synthesize data into actionable insights for executive leadership
  • Intellectually Curious Self Starter:  Must be able to operate in a self directed manner with little direction; must have a strong desire to take the initiative to deliver superior results
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