Sr Data Analyst at Target

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

25 May, 26

Salary

0.0

Posted On

24 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Visualization, Analytical Skills, React.js, JavaScript, HTML5, CSS3, Webpack, Vite, Parcel, Redux, Zustand, RESTful APIs, GraphQL, Domo, PowerBI, Postgres

Industry

Retail

Description

Role Overview We are looking for a Senior Data Analyst (L5) with strong data visualization and analytical skills to support complex business questions and drive insights across teams. This role requires the ability to work independently, support analytical efforts within cross-functional projects, and proactively identify risks and dependencies across systems and teams. Key Responsibilities: Deliver end-to-end analytical and data visualization projects with minimal direction 5+ years of hands-on experience in front-end development Strong proficiency in React.js (Hooks, Context API, component lifecycle) Deep understanding of JavaScript (ES6+), HTML5, and CSS3 Experience with Babel and modern build tools (Webpack, Vite, Parcel) Familiarity with state management libraries (Redux, Zustand, or similar) Experience working with RESTful APIs and/or GraphQL Solid understanding of responsive design and CSS frameworks or methodologies Advanced data visualization experience with Domo, Greenfield, and PowerBI Experience with Postgres Strong proficiency in SQL Strong analytical and problem-solving skills Strong debugging and performance optimization skills Experience with version control systems like Git Good understanding of browser rendering behavior and performance Nice to have Hands-on experience building applications with R Shiny Experience with Python and/or R for analysis Familiarity with Google Cloud Platform (GCP) Core Skills & Attributes Strong written and verbal communication skills Demonstrated ability to work independently and lead analytical work as part of a larger team Curious mindset with a willingness to dive deep into data and uncover root causes Comfortable influencing stakeholders through data and clear storytelling Strong documentation habits to support transparency, continuity, and scale Ability to anticipate risks, dependencies, and cross-team impacts. Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging Target is one of the world’s most recognized brands and one of America’s leading retailers. We make Target our guests’ preferred shopping destination by offering outstanding value, inspiration, innovation and an exceptional guest experience that no other retailer can deliver. Target is committed to responsible corporate citizenship, ethical business practices, environmental stewardship and generous community support. Since 1946, we have given 5 percent of our profits back to our communities. Our goal is to work as one team to fulfill our unique brand promise to our guests, wherever and whenever they choose to shop. We'll contact you if you're selected for next steps. In the meantime, follow us at A Bullseye View for the latest news. Our Benefits We care about and invest in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

Responsibilities

The Senior Data Analyst will be responsible for delivering end-to-end analytical and data visualization projects with minimal direction to support complex business questions. This role involves proactively identifying risks and dependencies across systems and teams while supporting analytical efforts within cross-functional projects.