Service Product Analytics Team - Quant Analytics Senior Associate

JPMorgan Chase & Co. • Jersey City, NJ

1d

About The Position

Join a team of a talented, highly motivated individuals with strong data
analysis and strategic thinking skills to support advanced analytics projects
across Operations functions, channels and products.

As a Quant Analytics Senior Associate, within our Service Product Analytics
Team, you will be 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 and work collaboratively with all functional teams across Operations
as well as Strategic and Analytics teams.

Requirements

• 3+ years of related experience; Bachelor's degree in a quantitative or related field or Graduate degree in a related field preferred
• 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)
• 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
• Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency, with great presentation skills

Nice To Haves

• Familiarity with AWS, data mining, statistical modeling, machine learning and other advanced analytics methods
• Familiarity with Cloud technologies such as Snowflake a plus

Responsibilities

• Support and lead partnerships with key Area Product Owners and Product groups with strong understanding of business drivers, underlying data and processes for the 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, digital) to better understand customer journeys and friction points
• 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.
• 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

Benefits

• 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. 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees