# Sr Data Analyst

**Company**: Target
**Location**: Bangalore, Bangalore 540065
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Retail

**Apply**: https://target.wd5.myworkdayjobs.com/en-US/targetcareers/job/L4-Manyata-Embassy-Business-Park-Racenahali--Nagawara-Villages-Outer-Ring-Rd-Bangalore-540065/Sr-Data-Analyst_R0000444688-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/sr-data-analyst-4d31f8b9-4fe/

## Description

As a Sr Data Analyst for Target's Data Analytics team, you'll support the leadership team with critical data analysis to inform profitable business decisions. You'll enable faster, smarter, and more scalable decision-making to help Target compete and win in the modern retail market.

**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 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, to enable decision support, forecasting, optimization, and automation

- Apply advanced analytics techniques, such as causal, predictive, and prescriptive analytics, to drive deeper understanding of business levers and inform optimal actions

- Work with large-scale datasets using platforms like 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, 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:**

- Overall 5-8 years of experience and relevant 3-5 years of experience

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

- Skills required:

+ Extensive exposure to Structured Query Language (SQL), SQL Optimization, and DW/BI concepts   + Proven hands-on experience in BI Visualization tools (e.g., PBI, Looker, Tableau)   + Strong knowledge of structured and unstructured databases, including Hadoop Distributed File System (HDFS)   + Hands-on experience in R, Python, Hive, or other open-source languages/databases   + Experience with advanced analytical techniques, such as Regression, Time-series models, Classification Techniques, etc.   + Git source code management and experience working in an agile environment   + Strong attention to detail, excellent diagnostic, and problem-solving skills   + Highly self-motivated with a strong sense of urgency to work independently and in team settings   + Excellent communication, service orientation, and strong relationship-building skills   + Experience with Retail, Merchandising, Marketing will be strong add-ons   + Hands-on experience leveraging Generative AI (GenAI) and LLM-based solutions   + Ability to integrate AI-driven tools and AI-agent workflows into end-to-end analytical processes

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## Skills

### Required
- SQL
- Data Warehousing
- BI Visualization
- Python
- R
- Hive
- Agile Environment
- Git
- Regression
- Time-series models
- Classification Techniques
- Generative AI
- LLM-based solutions

### Nice to have
- Retail
- Merchandising
- Marketing

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Source: [Apply at target.wd5.myworkdayjobs.com](https://target.wd5.myworkdayjobs.com/en-US/targetcareers/job/L4-Manyata-Embassy-Business-Park-Racenahali--Nagawara-Villages-Outer-Ring-Rd-Bangalore-540065/Sr-Data-Analyst_R0000444688-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)