Quant Analytics Sr Associate
1 month ago
Join our Consumer & Community Banking division at Chase, a leading financial services firm offering a range of services including personal banking, credit cards, and mortgages. We're a leader in credit card sales, deposit growth, and digital solutions, committed to fostering engaged, lifelong relationships with our customers. We value diversity and inclusion, and amidst the COVID-19 pandemic, we've earned the “WELL Health-Safety Rating” for our global locations.
Job Description
As a Quant Analytics Senior Associate in the Data and Analytics team, you will be a key member of the connected commerce Analytics team. You will work closely with Product Owners to deliver insights in terms of descriptive, diagnostic, predictive, and prescriptive analytics. You will strive to build consensus with Product Owners on if, where, when, how, and whom to promote customer engagement by defining metrics, sourcing data, developing queries, and creating reports
Job responsibilities
Understand and translate business needs into data models supporting long-term solutions Create data points using best practices to ensure high data quality and reduced redundancy Rationalize complex normalized data sets allowing for ease of cross org consumption Partner closely and collaborate with Product teams, Data management teams, Strategy teams, Technology Teams and broader D&A organization resources across multiple functional units to understand business requirements and objectives Translate data into meaningful insights and present a compelling story to stakeholders for decision making Bring in experience in the production, optimization and automation of recurrent reportsRequired qualifications, capabilities and skills
Adobe Analytics knowledge and degree in quantitative or related field Being able to demonstrate initiative, completing projects/tasks independently is highly desire Experience with visualization techniques for data analysis and presentation Basic knowledge of SQL, Alteryx and Tableau Experience with Hadoop, Teradata, Oracle and SQL DBs Adept at explaining and converting complex concepts into digestible information to be consumed by audiences of varying levels of expertise Intellectually curious and eager to learn new things with an eye for innovation Being able to demonstrate initiative, completing projects/tasks independently is highly desire Highly organized and able to prioritize multiple tasks Good written and oral communication skills Operational business knowledge of processes, data, controls, and technology platformsPreferred qualifications, capabilities and skills
Bachelors with 8+ years of analytics experience Functional industry experience in operations, marketing, credit/risk, technology or finance Intermediate knowledge of Machine Learning Strong SQL skills with the ability to pull data using multiple joins, sub-queries, and advanced functions in an enterprise-scale database environment (Teradata, Hadoop, AWS, Demonstrated experience with business intelligence and data wrangling tools such as SAS EG, SAS Viya, Python, Snowflake and Alteryx is key Experience with visualization techniques for data analysis and presentation (Tableau preferred) Basic skills with JIRA, Confluence Familiarity with Cloud (AWS, Snowflake) based data solutions and tools Proficiency in Microsoft Word, Excel, PowerPoint-
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