Service Product Analytics Team - Quant Analytics Senior Associate
Company: JPMorganChase
Location: Columbus
Posted on: April 6, 2026
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Job Description:
Description 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. Job
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 Required Qualifications, Capabilities, and Skills: 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 Preferred Qualifications, Capabilities, and
Skills: Familiarity with AWS, data mining, statistical modeling,
machine learning and other advanced analytics methods Familiarity
with Cloud technologies such as Snowflake a plus
Keywords: JPMorganChase, Elyria , Service Product Analytics Team - Quant Analytics Senior Associate, IT / Software / Systems , Columbus, Ohio
