Plan, execute, and deliver customer-centric analytical projects, including:
A segmentation framework, with varying levels of granularity, to deeply understand customers at scale
Attributes that describe customers' financial needs and behaviors
Data assets that define customer archetypes and describe them (e.g., market share, engagement, performance)
Strategic analyses for a variety of segment-focused use cases (e.g., marketing, servicing, personalization)
Segment-level dashboards that inform executives on critical KPIs
Become a trusted partner and thought leader on customer data and data science & analytics techniques
Establish and manage relationships with internal partners
Deliver rapid and scalable solutions that generate high quality output
Invent creative and innovative ways to answer key business questions by leveraging existing data assets or creating new ones
Build expertise on customer data from all Chase lines of business
Synthesize analytical findings for senior business executives in written and verbal formats and influence decisions that impact customers across Chase lines of business
Core Skillset–
Proven analytics skills – should have strong hands-on experience(at least 3+ years of relevant exp.) in analyzing data, extracting insights, preparing stories, recommending business the suitable solutions/strategy .
Demonstrated experience in Analytics and ML applications (K-means, XGB, CART, Logistic Regression). Experience inclustering / segmentationprojects is a plus.
Good problem solving skills, combined with the ability to synthesize and effectively communicate findings inside the D&A team and other stakeholders
Technical Skills Required–
SQL (at least 4 years of hands-on exp.)
Python (at least 2 years of hands-on exp.)
Excel (intermediate to advanced knowledge)
Data Wrangling (at least 3 years of hands-on exp.)
Data Visualization (beginner to intermediate)
Qualifications
5-7 years of hands on experience in data and analytics, or related consulting in consumer financial services, with a proven record of high performance.
Experience in at least one of the following required: Credit Cards, Personal Lending, Home Lending or Deposits/Investments.
Demonstrated experience of Machine Learning and AI applications (K-means, XGB), with a record of delivering analytics that drive business value.
Familiarity working in cloud based environments and developing production level code to execute applications. Tableau knowledge a plus.
Exceptional problem solving and analysis skills, combined with the ability to synthesize and effectively communicate findings inside the D&A team and other stakeholders
Experience working independently as well as in teams in agile environments