Affluent Card Analytics team is part of Card D&A which provides cutting edge analytical solutions and works closely with Card Product Leadership. The team utilizes Data Science, Machine Learning and Visualization capabilities to generate insights and work closely with the business to drive innovation and business impact.
As a Lead Data Scientist within the Sapphire Products team, you will collaborate closely with Product Owners to provide crucial insights through descriptive, diagnostic, predictive, and prescriptive analytics. Your role will involve building consensus with Product Owners on the promotion of customer engagement by defining metrics, sourcing data, developing queries, and generating reports.
Job responsibilities
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- 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
- 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 reports
- Analyze travel-related data to understand customer behavior and trends across different channels.
- Monitor and assess the impact of guardrails on customer journeys to ensure a seamless booking experience.
- Identify key entry points in the customer journey and optimize them for improved conversion rates.
- Design and conduct experiments to measure the effectiveness of new features or changes in the travel booking flow.
- Collaborate with Product team, other Data & Analytics teams, and Channels team, to gain insights into customer behavior and preferences from an end-to-end experience.
- Develop and maintain Adobe Analytics dashboards to track key metrics and performance indicators.
- Utilize heatmaps and other visualization tools to identify areas of improvement in the user experience.
Required qualifications, capabilities and skills
- Bachelors degree in quantitative or related field with 8+ years of analytics experience
- Strong Adobe Analytics knowledge
- Intermediate 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
- Highly organized and able to prioritize multiple tasks
- Good written and oral communication skills
- Operational business knowledge of processes, data, controls, and technology platforms
Preferred qualifications, capabilities and skills
- 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, etc.)
- 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
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, discretionary incentive compensation which may be 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
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.