Data Scientist Analyst - SQL, Python

Posted 2 Days Ago
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Bengaluru, Karnataka
Hybrid
1-3 Years Experience
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
As a Data Scientist Analyst, you will deliver strategic analytics and insights for the Marketing team, create and optimize reports, analyze marketing data, and monitor key OKRs. You'll work on data quality, present findings to stakeholders, and manage cross-organizational data points.
Summary Generated by Built In

Job Description
Kick-start your career as a Data scientist. Be part of a team that is pushing the boundaries of what's possible.
As a Data Scientist Analyst within the Data and Analytics team, you will be a key member of the Auto Marketing Analytics division. You will work closely with the Marketing team to deliver insights and perform strategic analytics for the marketers. Additionally, you will be responsible for key reporting items that reach the CEO level.
Job responsibilities

  • Create data points using best practices to ensure high data quality and reduced redundancy.
  • Rationalize complex normalized data sets to allow for ease of cross-organizational consumption.
  • Translate data into meaningful insights and present a compelling story to stakeholders for decision-making.
  • Bring experience in the production, optimization, and automation of recurrent reports.
  • Analyze marketing data to understand customer behavior and trends across different channels.
  • Monitor and assess the impact of key marketing OKRs on the business.
  • Take ownership of key marketing reports to help strategize for the business.


Required qualifications, capabilities and skills

  • Minimum of 2 years of analytics experience.
  • Strong SQL/Python skills with the ability to pull data using advanced functions in an enterprise-scale database environment (e.g., Teradata, Hadoop, AWS).
  • Demonstrated initiative and ability to complete projects/tasks independently.
  • Experience with data visualization techniques for analysis and presentation.
  • Ability to explain and convert complex concepts into digestible information for audiences of varying expertise levels.


Preferred qualifications, capabilities, and skills

  • Functional industry experience in operations, marketing, credit/risk, technology, or finance.
  • Intermediate knowledge of machine learning and statistics.
  • Basic skills with JIRA and Confluence.
  • Familiarity with cloud-based data solutions and tools (e.g., AWS, Snowflake).


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

Python
SQL

What the Team is Saying

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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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