Digital Authentication Analytics- Associate - Mumbai, India - JPMorgan Chase Bank, N.A.
Description
Digital Authentication Analytics is tasked with measuring and analyzing the current customer experience when using the bank's various interaction channels contact center, branch, and web and mobile products and to provide actionable recommendations to enhance the consumer experience in order to build long term, profitable customer relationships.
You will be responsible for delivering against the Digital Analytics agenda and working with partners in Digital Authentication and across the Consumer Bank.
Key constituents will include Fraud Risk Management, Digital Management, Product Management, Customer Experience Design, the various consumer lines of business, risk, compliance, and controls.
You will be responsible for building relationships with Product partners and delivering actionable Business Intelligence in clear and compelling terms.
- Work with partners across Digital functions and LOB's to provide data insights to support Digital strategic direction and growth
- Provide consultative support for Digital Authentication Product partners delivered by factbased findings
- Evolve and refine measurement frameworks and KPIs for Customer Measurement
- Provide analysis and associated data visualization and storytelling
- Focus and prioritize the analytics agenda to align with overall strategy and business value
- Collaborate within Digital Analytics to enhance the quality and value of team deliverables
- Work with Data Services, Risk and Core Analytics partners to enhance overall performance of Digital Analytics team
- 46 years relevant experience analyzing customer experiences, digital experience preferred.
- Expertise in extracting and manipulating terabytes of data sets from multiple databases (Oracle, Teradata, Microsoft SQL Server),
- Ability to write complex but efficient SQL scripts, capability to connect to databases from both Windows and Unix environments using SQL tools as well as SAS, combining datasets using SAS Datastep, SQL and Hash Object, proficiency in detecting and remediating gaps commonly seen in business/customer data (missing value, extreme values and outliers).
- Demonstrated ability to define business KPIs and establish measurement frameworks. Structured thinker with passion for analyzing results and digging deeper.
- Hands on experience with behavioral and transactional analytics tools and techniques.
- Experience working with Business Intelligence (BI) platforms to deliver reports and scorecards. Experience with Adobe Analytics, Tableau, Alteryx, and SQL preferred.
- Ability to communicate effectively with executives, business partners, and technical resources in analytics and data management.
- Strong PowerPoint and slidewriting skills to deliver analytical insights preferred.
- Post MBA Strategy and/ or Management Consulting experience preferred.
- Ability and desire to work in a startup paced environment and culture.
- Hadoop Hive and Teradata experience a plus
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.
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 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.
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