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CB - Data Analytics - Sr. Associate at JPMorgan Chase Bank, N.A.

Posted in General Business 30+ days ago.

Type: Full-Time
Location: Plano, Texas





Job Description:

J.P. Morgan is seeking talented candidates for the role of business analytics senior associate role in our Middle Market Banking & Specialized Industries (MMBSI) group.

Your primary responsibilities will include leading the management and development of various data-driven initiatives for the MMBSI organization to improve processes and sales outcomes.

The ideal candidate will have:

A strong passion for business intelligence and analytics with the ability to work closely with the business teams, understand business needs and manage complex projects related to data driven initiatives


  • Experience leading data driven efforts to drive business growth in support of sales and / or financial operations
  • Working knowledge of advanced data analytical techniques and statistical methodologies
  • Strong communication skills and the ability to distill information and results into simple concepts and actionable insights for a variety of audience

Primary Responsibilities

  • Interact with business and functional stakeholders throughout the organization on analytics Initiatives and development

    • Ability to deliver data insights, business value and recommend next steps to senior stakeholders
    • Ability to work with and influence cross functional teams to meet business objective


  • Participate in and contribute to data analytics and insight generation initiatives

    • Synthesize business needs and coordinate development of optimal data solutions to address the needs
    • Ownership of end to end deliverables for data related initiatives
    • Developing impactful visualizations delivering simplified insights messaging
    • Application of business context in design, testing and application of the data solutions


Qualifications

  • 3+ years of project management experience managing complex quantitative data initiatives
  • 2+ years of data analysis/visualization experience, preferably in financial services or commercial banking
  • Ability to understand business problems/processes and design solutions/methodologies that are rooted in data
  • Effectively communicate insights/recommendations (verbal and written)
  • Ability to coordinate design, development and general life cycle of repeatable and scalable data solutions build
  • Technical skills in SQL, R, Python, Tableau
  • Team player with a demonstrated strong work ethic. Demonstrates a high level of professionalism in behavior and performance and an ability to work well and productively with cross-functional teams

Nice to have

  • Working knowledge of data analytical tools/skills

    • Analytical tools like Alteryx, Trifacta
    • Visualization tools/programming languages like D3

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

Equal Opportunity Employer/Disability/Veterans





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