Quant Analytics Associate - Digital Product Analytics

We’re driven by curiosity, passion, optimism, and the belief that everybody can grow.

As a Quant Analytics Associate on the O&S Data & Analytics Team, you will (a) deliver timely and actionable insights to a diverse group of stakeholders to drive customer engagement and business performance, (b) work closely with colleagues in Product, Design, Tech, and D&A groups to define objectives and key results that can be measured, and create appropriate deliverables to track them accordingly, as well as (c) nurture a culture of test & learn by proactively and purposefully driving the agenda for, and removing hurdles to, continuous experimentation.

Job Responsibilities:

• Synthesize data from a number of different sources to identify timely and actionable insights to enhance customer engagement.
• Collaborate with Product & Design teams to test and implement changes aimed at enhancing user experience and increasing adoption.
• Collaborate with UX/UI teams to test and implement changes aimed at enhancing user experience and increasing conversion rates.
• Analyze web and mobile customer behavior to measure the performance and provide executive reporting to senior leadership on key trends. 
• Evaluate and implement new tools and technologies to improve data collection, analysis and reporting.

Required qualifications, capabilities, and skills

• Bachelor's degree in statistics, business analytics, finance, economics, mathematics or any engineering field involving significant quantitative research and data analysis. 
• 2+ years (with Bachelors) analytics experience within digital, product or marketing analytics
• Proficiency writing code to query data (Snowflake SQL/Python) 
• Experience with digital analytics tools (Adobe Analytics/Google Analytics)
• Ability to work in a fast paced environment & independently navigate loosely defined business problems
• Excellent written and verbal communication skills with the ability to present data insights to non-technical audiences.

Preferred qualifications, capabilities, and skills

• Masters Degree preferred, in statistics, business analytics, finance, economics, mathematics or any engineering field involving significant quantitative research and data analysis. 
• 1+ years (with Masters) analytics experience in digital, product or marketing analytics. 
• Experience with experimentation tools like Split, Optimizely, Adobe Target etc.
• Experience designing analytics implementation design to improve data collection.

***Hybrid role, requires 3 days in office and no relocation support is offered for this role***

 

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 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