Our Consumer & Community Banking team serves Chase customers through a full range of financial services, from personal banking and credit cards to mortgages, auto financing, and small business solutions. We lead the U.S. in credit card sales and deposit growth and offer some of the most-used digital banking experiences, consistently ranking at the top in customer satisfaction. Our mission is to build engaged, lifelong relationships by putting customers at the center of every decision, and we know our people are our strength, with their diverse talents and perspectives essential to our success. Chase is an equal opportunity employer that values diversity and inclusion and provides reasonable accommodations in accordance with applicable law. This role offers the opportunity to shape data-promoten insights and solutions that directly impact our customers, communities, and business.
As a Data Visualization Associate within the Consumer & Community Banking division, you will develop data visualization solutions and analytics to provide intuitive insights to our key stakeholders. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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
Job Responsibilities:
- Develop data visualization solutions utilizing ThoughtSpot/Tableau that provides intuitive insights to our key stakeholders
- Develop and enhance Alteryx workflows, collecting data from disparate data sources and summarizing the data as defined in requirements gathering with the stakeholders. Follow best practices to ensure that data is sourced from authoritative data sources
- Conduct thorough control testing of each component of the intelligence solution providing evidence that all data and visualization are providing accurate insights and evidence in the control process
- Seek to understand the stakeholder use cases empowering you to anticipate stakeholders requirements, questions, and objections
- Become a subject matter expert in these responsibilities and support team members in becoming more proficient themselves
- Lead intelligence solution requirements gathering sessions with varying levels of leadership, complete detailed project planning utilizing JIRA to record planned project execution steps
Required qualifications, capabilities, and skills
- Bachelor’s degree in MIS or Computer Science, Mathematics, Engineering, Statistics or other quantitative or financial subject areas
- Experience with business intelligence analytic and data wrangling tools such as Alteryx, SAS, or Python
- Experience with relational databases optimizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses
- Experience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data
- Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data
- Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions
Preferred qualifications, capabilities, and skills
- Minimum of 8 years’ experience working with data analytics projects, preferably related to financial services domain
- Minimum 6 years’ experience developing advanced data visualization and presentations preferably with Tableau