Quant Analytics Manager - Offers and Shopping

Job Description
This is your chance to excel in your career at one of the world's leading financial institutions.
As a Quant Analytics Manager within the Offers and Shopping Data & Analytics team, you will play a pivotal role in collaborating with key stakeholders to establish quantifiable objectives and devise strategies to meet these targets. Your responsibilities will include sales forecasting, budget management, campaign lift reporting, and providing insights into pre/post campaign performance. Your role will be instrumental in promoting and scaling Offers through the development of direct relationships with merchants.
Job responsibilities:

• Works closely with Sales, Operations, Product and D&A groups to define objectives and deliverables
• Develops timely and accurate sales forecast to sales team to help drive effective conversations between sales team and merchants
• Provides timely operation forecast to ops team to help accurate budget management
• Develops merchant facing lift reports, pre/post campaign performance for merchant campaign insights
• Converts data to actionable insights and leverage data visualization tools to effectively tell a story
• Measures the business performance and provide executive presentation to senior leadership

Required qualifications, capabilities, and skills.

• 10 + years of experience with excellent SQL, Python, Alteryx and Tableau skills
• Bachelor's degree in statistics, economics, mathematics or any engineering field involving significant quantitative research and data analysis.
• Critical and analytical thinking with a strong attention to detail
• Capable of defining metrics, evaluating results, drawing conclusions and business insights
• Excellent written and verbal communication skills
• Able to multi-task and prioritize, with strong organizational and problem-solving skills.
• Excellent written and verbal communication skills

Preferred qualifications, capabilities, and skills

• Experiences in ad tech preferred
• Diagnose and resolve data-related challenges, applying analytical skills to identify root causes and implement effective solutions.
• Support the development and instrumentation of frameworks and processes to create efficient and scalable data solutions addressing complex business problems.
• To enhance productivity and learning, document relevant knowledge, ensuring information is captured, organized, and accessible

About Us
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
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.