Data Analyst

Target
Bengaluru East, Karnataka, India

About The Role

Join the Data Analytics (DA) team at TII across domains such as Marketing and Digital, Merchandising, Supply Chain and Logistics, Store Operations, Finance and more. Here you'll collaborate with business leaders to turn data into insights that drive strategic decisions. You’ll be part of a fast-moving, high-impact environment focused on leveraging business intelligence and advanced analytics to solve real-world problems.

This role combines technical expertise with business understanding to uncover and communicate actionable insights using cutting-edge statistical and analytical techniques.

Behind one of the world’s best loved brands is a uniquely capable and brilliant team of data scientists, engineers and analysts. The Target Data & Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content. We’re also the source of the data and analytics behind Target’s Internet of Things (iOT) applications, fraud detection, Supply Chain optimization and demand forecasting. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com.

Key Responsibilities

 Execute data analysis to support merchandising decisions using established frameworks and

methodologies

 Assist with scenario and decision analysis by preparing data, running analyses, and

summarizing results

 Work closely with senior analysts and stakeholders to understand business questions and

analytical requirements

 Develop and maintain reports, dashboards, and basic models to track business performance

and trends

 Apply foundational predictive and diagnostic analytics techniques under guidance

 Query and analyze large datasets using SQL and data platforms such as GCP BigQuery or

similar tools

 Support data pipeline development and validation in partnership with data engineering

teams

 Ensure accuracy, consistency, and quality of analytical outputs

 Clearly communicate findings through AI summaries and basic data storytelling

 Document analysis logic, definitions, and assumptions to support transparency and reuse

 Follow corporate data governance, privacy, and responsible AI guidelines

Requirements / About You

Experience: Overall 2-6 years exp and relevant 1-3 years exp

Qualification

TI : B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent

US : Bachelors

Skills Required

  • Hands on experience to Structured Query Language (SQL) syntax, including joins,

volatile tables, and basic query tuning. And deep understanding of core DW/BI

concepts.

  • Experience in at least 1 BI Visualization tool (i.e. PBI, Looker, Tableau) with ability to

learn additional vendor and proprietary visualizations tools.

  • Working knowledge of structured (Oracle, Hive) and unstructured databases

including Hadoop Distributed File System (HDFS)

  • Exposure to large-scale datasets using tools like GCP BigQuery, Spark, or SQL-based

warehouses and data pipelines (using Airflow or similar tools)

  • Exposure to R, Python, Hive or other open-source languages/database
  • Understanding of analytical techniques (like Regression, Time-series models,

Classification Techniques, etc.) to discover and measure key business drivers

  • Git source code management & experience working in an agile environment
  • Problem solving skills
  • Self-motivated and able to work in team settings in a fast-paced environment
  • Competent and curious to ask questions and learn to fill gaps
  • Good communication.
  • Experience with Retail, Merchandising, Marketing will be strong addons
  • Basic understanding of Generative AI (GenAI) and Large Language Model (LLM)

based applications, including prompt engineering, RAG and AI-assisted workflows

  • Ability to leverage AI-powered tools to improve analytical productivity, automate

Know More About Us Here

  • 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 Tech: https://tech.target.com/

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Questions about this job

How do I apply for the Data Analyst job at Target?

Use the apply link on this page: you apply directly with Target on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Target want for this Data Analyst role?

The job description asks for Structured Query Language (SQL), BI Visualization tool, Oracle, Hive, Hadoop Distributed File System (HDFS), GCP BigQuery, Spark and R. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at Target?

Apply to the Target roles that match your experience, and tailor your resume to each job description: for this role that means showing Structured Query Language (SQL), BI Visualization tool, Oracle. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Data Analyst job remote or onsite?

This is based in Bengaluru East, Karnataka.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with Target, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

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