Description

Be an essential member of a diverse team of professionals dedicated to making a lasting impact!

As a Finance Data & Insights Associate on the Marketing Finance Data & Insights team, you will play a key role in designing, developing, and optimizing data solutions that support the Marketing Finance & Business Management functions. This position requires strong collaboration with business stakeholders and cross-functional teams to deliver a robust DataMart, efficient ETL processes, and insightful analytics and reporting solutions.

Job responsibilities

• Design and implement comprehensive and efficient data mart schemas that consolidate key data categories from various source systems, tailored to the needs of the Marketing Finance & Business Management functions.
• Collaborate with Business stakeholders to understand requirement and accordingly map source & calculation logic.
• Collaborate with cross-functional teams, including data engineers, data analysts, and technical specialists, to gather and analyze business requirements.
• Develop, implement, and optimize data workflows, Extract Transform Load (ETL) processes, and data pipelines using Databricks.
• Utilizing Databricks and ThoughtSpot tools, create a robust and efficient reporting environment for marketing Finance data analytics and reporting.
• Work closely with your business domain Product teams and business stakeholders to: 1) design and develop insightful reporting and analytics solutions that drive informed decision-making; 2) apply design led thinking to meet their needs, including making data discoverable and accessible for analytical needs.
• Maintain up-to-date documentation on data mart architecture, data models, ETL processes, and data governance policies.

Required qualifications, capabilities, and skills

• 5+ years of experience in data management, data engineering, data lineage, data dictionaries, and making data discoverable.
• Bachelor's degree in Computer Science, Information System, or related discipline.
• Good Knowledge of data architecture, data warehousing, and data integration, with a focus on the retail banking or financial services industry.
• Expertise in designing and implementing scalable and efficient data mart architectures, including star schema, snowflake schema, and other data modeling techniques.
• Experience with Python, Databricks, Snowflake, or other Cloud Data Warehouse, Data Engineering, Data Modeling, ERWIN.
• Ability to deliver complex data projects in a fast-paced, dynamic environment.
• ThoughtSpot, Tableau, Alteryx, or Essbase experience.

About Us

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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.

Equal Opportunity Employer/Disability/Veterans

About the Team

\n 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.\n
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\n 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.\n