Service Product Analytics Team - Quant Analytics Senior Associate

Testing Site - JPMC; Columbus (OH); On-site; USD 95,000 - 140,000; Full time

Job summary

Testing Site - JPMC seeks a Quant Analytics Senior Associate to derive insights across Operations and customer journeys. You will develop and implement advanced analytics strategies to improve customer and service agent experiences, collaborating with Operations, Strategic and Analytics teams.

Responsibilities include leading KPI reporting, leveraging SQL, Python, R and visualization tools to inform decisions.

Qualifications

• 3+ years of related analytics experience; Bachelor's degree in a quantitative or related field, or Graduate degree preferred.
• Proficiency in SQL for data querying and manipulation.
• Hands-on experience with analytics tools: 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 data from multiple sources including structured and unstructured data.

Responsibilities

• Support and lead partnerships with Area Product Owners and Product groups for demand mitigation by providing data and analytics leadership.
• Lead development and reporting of Ops performance metrics & KPIs using trend analysis, segmentation, optimization, etc.
• Analyze customer interactions across channels to understand journeys and friction points.
• Contribute to business cases, design tests, and identify populations for pilots; analyze performance to inform strategies.
• Create dashboards and visualizations to measure product impact and enable self-service insights for management.
• Deliver analytics using Agile processes, build business cases, explore enhancement opportunities, and craft data stories for stakeholders.
• Leverage enterprise data to develop automated data solutions using diverse data sources.

Skills

SQL

Python

R

Tableau

Alteryx

Agile Methodologies

Communication with Leaders

Data storytelling

Education

Bachelor's degree in quantitative field

Graduate degree preferred

Tools

Hadoop

Hive

Spark

Impala

Sqoop

Snowflake

AWS

Job 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