Data Analytics (SQL, Altreyx & Tableau)- Associate

Posted 2 Days Ago
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Bengaluru, Karnataka
Hybrid
5-7 Years Experience
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
The Data Analytics Associate will work with the team to analyze customer financial behaviors and interactions with products. Responsibilities include extracting business value from data, building business cases, analyzing customer journeys, developing performance metrics, and creating tools for real-time insights. The role requires extensive experience in database management and strong analytical skills.
Summary Generated by Built In

Job Description
Become an integral part of our Data Analytics team! Each day will be unique - bring a positive attitude, entrepreneurial spirit and get ready to roll up your sleeves. This position is an essential part of the team and will have exposure to several aspects of running a banking office.
Job Summary:
As a Data Analytics you will be responsible for central in understanding customers' financial needs and their interactions with our products, services, and channels.
Job Responsibilities
This is a vital hands-on role so we're looking for exceptionally creative, ambitious, \"data curious\" thinkers who can help to extract true business value from data. A typical day might include:

  • Searching for collections of behaviors and events that individually are innocuous but collectively indicate a likely next action in order to enable timely, relevant outreach
  • Support & lead partnerships with key Operations stakeholders and Operations Product groups with strong understanding of business drivers, underlying data and processes
  • Build business cases, construct test designs, and identify populations for pilot programs; analyze program performance and derive insights to help inform future customer strategies
  • Analyze customer interactions and events across a variety of channels (calls, branch, online, mobile) to better understand customer journeys and friction points
  • Lead development and reporting of Ops performance metrics & KPIs. Use analytical tools and quantitative methods such as trend analysis, segmentation, forecasting, optimization, and other techniques to improve business function performance.
  • Creating self-serve tools to put real-time information in the hands of decision-makers


Required qualifications, skills and capabilities:

  • Bachelor's / Master's Degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field with 5+ years of data science experience
  • Flexibility/adaptability, ability to listen and defend or change direction based upon team and stakeholder consensus
  • Experience in wrangling large, complex datasets, strong database skills and ability to write, optimize and tune complex SQL scripts
  • Experience delivering analytics solutions under strict timelines quick turn-around time
  • Hands-on experience writing code and automating processes to source, transform and analyze data from multiple sources including structured and unstructured data preferred
  • Hands-on experience with standard data analytics tools and technologies ( at least four of SQL, Python, SAS, Tableau, Alteryx)
  • Proven track record in solving business problems through fact-based and scientific analytics, like to focus on solving problems
  • Have a demonstrated ability to think both independently and collaboratively to implement creative solutions that solve business problems, being diligent in the detail while maintaining focus on broader purpose and business objectives
  • Recognize the stories in the data and tell them in ways that illuminate which customers are likely to do what next
  • Are comfortable summarizing key information and presenting recommendations to multiple stakeholders to influence senior management
  • Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency


Preferred qualifications, skills and capabilities:

  • Previously worked in an insights function at a financial services firm or consulting firm supporting Financial firms.
  • Have a strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies


About Us
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. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Top Skills

Alteryx
Python
SAS
SQL
Tableau

What the Team is Saying

Nick S.
Lupe C.
Edwin T.
Dawn T.
Meng M.
The Company
HQ: New York, NY
289,097 Employees
Hybrid Workplace
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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