Sr Data Analyst

1072-28 Target India (Non-USA); Bengaluru; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

Target's Data Analytics team in Bengaluru collaborates with Marketing, Merchandising, Supply Chain and Finance to turn data into insights that drive strategic decisions. You’ll be part of a fast-moving team creating data products and AI-driven analytics to support decision making.

You will develop analytical solutions, model business trade-offs, and translate complex results into clear storytelling for stakeholders, using SQL, Python, and modern data platforms.

Qualifications

• Proficient in SQL and DW/BI concepts.
• Hands-on BI visualization experience (Power BI, Looker, Tableau) or similar.
• Strong knowledge of SQL-based data warehouses and large datasets.
• Experience with Python/R and open-source analytics tools.
• Familiarity with GenAI/LLM-based workflows and AI-driven analytics.

Responsibilities

• Translate business problems into analytical questions and structured approaches.
• Develop AI-driven analytical solutions for decision support and forecasting.
• Partner with stakeholders to validate requirements and present insights clearly.
• Build reliable data pipelines and manage data quality metrics.
• Communicate complex results with data storytelling to non-technical audiences.

Skills

SQL

BI Visualization

Python/R

GenAI / LLM

Data Modeling

Communication

Git / Agile

Big Data Tools

Education

B.Tech / B.E. or Masters in Statistics / Econometrics / Mathematics

Tools

SQL

BigQuery / Spark

Airflow

Job description

About the Role

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

• Translate business problems into well-defined analytical questions and structured approaches
• Support scenario, decision, and action modelling to evaluate business trade-offs and inform recommended actions
• Partner with Target business stakeholders to understand priorities and roadmaps, validate analytical requirements, and present insights and recommendations with clarity and impact
• Develop and deliver analytical and AI-driven solutions (including GenAI, Agent, and Agentic approaches) that enable decision support, forecasting, optimization, and automation
• Apply advanced analytics techniques, including causal, predictive, and prescriptive analytics, to drive deeper understanding of business levers and inform optimal actions
• Work with large-scale datasets using platforms such as GCP BigQuery, Spark, and SQL- based data warehouses; build and maintain reliable data pipelines using Airflow or similar orchestration tools
• Contribute to AI-driven analytical workflows, defining quality metrics (e.g., accuracy, relevance), assessing reliability, and measuring tangible business impact
• Ensure analytical outputs are accurate, scalable, and aligned with business context
• Develop strong data storytelling skills to communicate insights and recommendations to non-technical audiences
• Document analytical methodologies, assumptions, and outputs to support reuse and knowledge sharing
• Adhere to corporate data protection standards and responsible AI practices

Requirements / About You

Experience: Overall 5-8 years exp and relevant 3-5 years exp

Qualification: TI : B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent US : BA/BS in a quantitative degree – Math, Statistics, Econometrics, Data Sciences, Computer Science or equivalent work experience

Skills required

1. Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts.
2. Proven hands-on experience in BI Visualization tool (i.e. PBI, Looker, Tableau) with ability to learn additional vendor and proprietary visualizations tools.
3. Strong knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS). Exposure and extensive hands-on work with large data sets.
4. Hands on experience in R, Python, Hive or other open-source languages/database
5. Hands on experience in any advanced analytical techniques like Regression, Time- series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above
6. Git source code management & experience working in an agile environment.
7. Strong attention to detail, excellent diagnostic, and problem-solving skills
8. Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines
9. Competent and curious to ask questions and learn to fill gaps, desire to teach and learn.
10. Excellent communication, service orientation and strong relationship building skills
11. Experience with Retail, Merchandising, Marketing will be strong addons
12. Hands-on experience leveraging Generative AI (GenAI) and LLM-based solutions (e.g., prompt engineering, Retrieval-Augmented Generation – RAG) to enhance data analysis, automate insight generation, and support business decision-making
13. Ability to integrate AI-driven tools and AI-agent workflows into end-to-end analytical processes, enabling automation, improving productivity, and scaling analytics use cases.

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.

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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.