Associate - Data, Insights & Analytics

Join the Consumer & Community Banking division at Chase, a leading U.S. financial services firm as a skilled data professional in our Data & Analytics tea

Job Summary:

As an Analytical Solutions Manager within the Consumer and Community Banking (CCB) Finance Data & Insights Team, you will be a part of an agile product team that is responsible for the development, production, and transformation of financial data and reporting across the Consumer and Community Banking division. Your ability and passion to think beyond raw and disparate data will enable you to create data visualizations and intelligence solutions that will be utilized by the organization's top leaders to achieve key strategic imperatives. You will assist in identifying and assessing opportunities to eliminate manual processes and utilize automation tools such as Alteryx or Thought Spot to implement automated solutions. You will be responsible for extracting, analyzing, and summarizing data for ad hoc stakeholder requests, and play a significant role in transforming our data environment to a modernized cloud platform.

Job responsibilities:

• Transform raw data into actionable insights, demonstrating a history of learning and implementing new technologies.
• Lead the Finance Data & Insights Team, an agile product team, taking responsibility for the development, production, and transformation of financial data and reporting across CCB.
• Improve the lives of our people and increase value to the firm by leveraging the power of data and the best tools to analyze data, generate insights, save time, improve processes & control, and lead the organization in developing skills of the future.
• Join an agile product team as an Analytical Solutions Manager on the CCB Finance Data & Insights Team, responsible for the development, production, and transformation of financial data and reporting across CCB.
• Lead conversations with business teams and create data visualizations and intelligence solutions utilized by the organization's top leaders to reach key strategic imperatives.
• Identify and assess opportunities to eliminate manual processes and utilize automation tools such as Alteryx or Thought Spot to bring automated solutions to life.
• Extract, analyze, and summarize data for ad hoc stakeholder requests, playing a role in transforming the data environment to a modernized cloud platform.

Required qualifications, capabilities and skills:

• Minimum 8 years of experience in SQL is a MUST 
• Minimum 8 years of experience developing data visualization and presentations with Thought Spot experience
• Experience with data wrangling tools such as Alteryx 
• Experience with relational databases utilizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses
•  Knowledge of modern MPP databases and big-data (Hadoop) concepts
•  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 function
• Experience with Hive, Spark SQL, Impala or other big-data query tools
• AWS, Databricks, Snowflake, or other Cloud Data Warehouse experience
• Highly motivated, self-directed, curious to learn new technologies

For this particular role, we are unable to sponsor any type of  work visa including but not limited to H1B, H4 – EAD, OPT, TN, or L visas.

This role does not have a relocation allowance tied to it, so all candidates must be local to Jersey City, NJ or Columbus, OH office or willing to relocate on their own immediately upon hiring.  Candidates must be able to physically work in our Jersey City, NJ or Columbus, OH office 3 days a week and remotely from home 2 days per week. The specific schedule will be determined by direct management.