Posting description

Customer Analytics is a newly formed team that is responsible for (1) understanding customer needs across and (2) generating insights around those needs that are customer-centric, segment-focused, and actionable. Customer Segmentation Analytics will power the broader team and influence business decisions by (1) using data science and machine learning to build strategic customer segments, archetypes, and attributes, and (2) driving strategic segment-focused analytics on a variety of use cases like marketing, servicing, personalization, among others.

As an experienced practitioner in data science and analytics you will independently contribute to (1) partner with other Data & Analytics teams to understand customer data and business priorities, (2) generate insights based on impactful segmentation and analytics, and (3) influence business decisions that impact customers across all lines of business. You will have an opportunity to work with big data technologies (Hadoop, Spark, Hive, Python, Cloud technologies) and to apply analytical, data science skills and strategic skills to broad range of challenges faced by the enterprise.

Job responsibilities

• 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 lines of business
• Synthesize analytical findings for senior business executives in written and verbal formats and influence decisions that impact customers across lines of business

Required qualifications, capabilities, and skills

• Around 5 years of hands on experience in data and analytics,(SQL,Python,Data Wrangling) or related consulting in consumer financial services
• Proven analytics skills - should have strong hands-on experience(at least 5+ 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) with a record of delivering analytics.. Experience in clustering / segmentation projects is a plus.
• Experience in at least one of the following required: Credit Cards, Personal Lending, Home Lending or Deposits/Investments.

• Familiarity working in cloud based environments and developing production level code to execute applications. Tableau knowledge a plus. Excel (intermediate to advanced knowledge ) Data Visualization (beginner to intermediate)

• Experience working independently as well as in teams in agile environments

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world\'s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants\' and employees\' religious practices and beliefs, as well as any mental health or physical disability needs.