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Chase · 2 months ago

Service Product Analytics Team - Quant Analytics Senior Associate

1111 Polaris Pkwy, Columbus, OH, 43240, US

Full-time

Onsite

Mid Level

3+ years exp

Chase is seeking a Quant Analytics Senior Associate to join their Service Product Analytics Team. This role involves deriving insights about customer journeys and implementing innovative analytics solutions to enhance customer and service agent experiences across Operations functions.

BankingFinancial Services

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

Qualification

SQLData analytics toolsAgile methodologyRPythonTableauAlteryxHadoopMachine learningPresentation skillsCommunication skills

Required

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