Service Product Analytics Team - Quant Analytics Senior Associate

Aumni; Wilmington (DE); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Comprehensive health care coverage

On-site health and wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

Chase seeks a Quant Analytics Senior Associate to drive analytics across Operations, channels and products, deriving insights to improve customer journeys and reduce operating costs. You will lead lifecycle activities from data lineage to presenting findings that influence strategic decisions.

You will build dashboards, perform agile analytics, and leverage enterprise data to create automated data solutions using customer, account, digital, telephony, financial and operational data.

Qualifications

• Bachelor's degree in a quantitative or related field; 5+ years of related experience.
• Proficiency in SQL for data querying and manipulation.
• Hands-on experience with standard data analytics tools such as SQL, R, Python, Tableau, Alteryx, Hadoop, Hive, Spark, Impala, Sqoop, RDBMS, Trifacta.

Responsibilities

• Support and lead partnerships with Area Product Owners and Product groups using data to drive decisions.
• Lead development and reporting of Ops performance metrics & KPIs and use trend analysis to improve performance.
• Analyze customer interactions across calls, branches, online, and mobile to understand journeys and friction points.
• Prepare and deliver presentations summarizing insights for executives in analytics meetings.

Skills

SQL

Python

R

Tableau

Alteryx

Hadoop

Hive

Spark

Impala

Sqoop

RDBMS

Trifacta

Agile

AWS

Education

Bachelor's degree in a quantitative or related field

Tools

SQL

R

Python

Tableau

Alteryx

Hadoop

Hive

Spark

Impala

Sqoop

RDBMS

Trifacta

Job description

Join a team that supports advanced analytics projects across Operations functions, channels and products and is responsible for deriving insights about our customers’ journey across Service Operation by developing and implementing innovative strategies and advanced analytics solutions to improve the customer and service agent experience.

As a Quant Analytics Senior Associate, with the Service Product Analytics Team, you will lead initiatives focused on improving the customer and product experience, reducing operating expenses for Ops Product Groups and be involved in all phases of the analytics lifecycle, including documenting data lineage, analysis scoping, data development, hypothesis development, data analysis, generating insights, developing and delivering presentations of findings.

Job Responsibilities

• Support and lead partnerships with key Area Product Owners and Product groups with strong understanding of business drivers, underlying data and processes and support demand mitigation programs by providing data and analytics leadership across the servicing organization
• Lead development and reporting of Ops performance metrics & KPIs. Use analytical tools such as trend analysis, segmentation, optimization, and other techniques to improve business function performance.
• Analyze customer interactions and events across a variety of channels (calls, branch, online, mobile) to better understand customer journeys and friction points and contribute to business cases, construct test designs, and identify populations for pilot programs; analyze program performance and derive insights to help inform future customer strategies
• Prepare and deliver presentations summarizing sharp insights and conclusions, often for executives, in regularly-scheduled analytics meetings chaired by the analyst in this role
• Support the creation of dashboards and visualizations to measure the impact of implemented products and provide management with self-service tools to explore and report on current trends of key metrics
• Leverage the agile process to deliver on a wide range of business and product-focused analytics including building and updating business cases, exploratory analysis to identify product enhancement opportunities, generating feature performance metrics and dashboards, and crafting data stories and presentations of key findings to stakeholders
• Leverage enterprise data to develop the right automated data solutions using a mix of customer, account, digital, telephony, financial and operational data

Required qualifications, capabilities, and skills

• Bachelor's degree in a quantitative or related field; 5+ years of related experience
• Proficiency in SQL for data querying and manipulation
• Hands-on experience with standard data analytics tools and technologies (SQL, R, Python, Tableau, Alteryx, Hadoop, Hive, Spark, Impala, Sqoop, RDBMS, Trifacta)
• Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology
• Hands-on experience writing code and automating processes to source, transform and analyze data from multiple sources including structured and unstructured data preferred
• Familiarity with AWS, data mining, statistical modeling, machine learning and other advanced analytics methods

Preferred qualifications, capabilities, and skills

• Familiarity with Cloud technologies such as Snowflake a plus
• Graduate degree in a related field preferred

We do not offer any type of employment-based immigration sponsorship for this position. Likewise, JPMorganChase , will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).

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, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility.

• comprehensive health care coverage
• on-site health and wellness centers
• a retirement savings plan
• backup childcare
• tuition reimbursement
• mental health support
• financial coaching

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

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.

Supports advanced analytics projects across Operations functions, channels and products and is responsible for deriving insights about our customers’ journey across Service Operation by developing and implementing innovative strategies and advanced analytics solutions to improve the customer and service agent experience.