Data Management Associate Senior

Job Description
Join us for an exciting opportunity to advance your data quality and analytics career in a dynamic team.
As a Data Management Associate Senior in the Data Quality Controls Team, you design and maintain data quality rules and dashboards to support our data quality monitoring efforts. You collaborate with peers and stakeholders to drive platform modernization and automation initiatives.
Job responsibilities

• Write, review, and maintain data quality rules using the Data Quality Rules platform
• Migrate rules from testing to production environments
• Troubleshoot rule and platform issues and enforce best practices
• Support transition of legacy data quality rules to cloud platforms
• Design, build, and maintain dashboards and reports in Tableau
• Automate data workflows using Alteryx and SQL across multiple data sources
• Communicate status and insights to management and stakeholders

Required qualifications, capabilities, and skills

• Bachelor's degree or equivalent experience in Finance, Engineering, Business Management, or Information Technology
• Six years of relevant experience in data quality, analytics, or related fields
• Strong working knowledge of SQL language
• Two years of experience building business rules and decision logic in platforms such as Ab-initio, Collibra, Informatica, or AWS Glue Data Quality
• Experience querying data from AWS Cloud and Snowflake
• Experience in data management using tools like Toad, Oracle/PL SQL, or Teradata
• Two years of experience working with Mortgage, Credit Card, Auto, or Student Loan operations processes, data, or technology platforms

Preferred qualifications, capabilities, and skills

• Hands-on experience building dashboards and reports in Tableau
• Hands-on experience working with Alteryx
• Ability to understand data types and create pseudo-technical language
• Strong analytical, problem-solving, and communication skills

About Us
JPMorganChase, 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. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.