Sr Data Analyst

Target Brands, Inc.
United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Airflow Data Analysis Big Data BigQuery Databases Data Presentation Data Warehousing Decision Support Systems R (Programming Language) Hadoop Distributed File System Apache Hive
+19 more
Python (Programming Language) Open Source Technology Oracle (Applications) SQL Databases Tableau (Software) Teradata SQL Enterprise Data Management Sql Optimization Retrieval-Augmented Generation Large Language Models Prompt Engineering Apache Spark Generative AI Agentic-AI Git Information Technology Looker Analytics Software Version Control Data Pipelines

Job description

  • 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

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 * 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 * Git source code management & experience working in an agile environment.

  5. Strong attention to detail, excellent diagnostic, and problem-solving skills

  6. 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

  7. Competent and curious to ask questions and learn to fill gaps, desire to teach and learn.

  8. Excellent communication, service orientation and strong relationship building skills

  9. Experience with Retail, Merchandising, Marketing will be strong addons

  10. 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

  11. 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.

Benefits & conditions

Competitive benefits

We are proud to provide benefits that support you, your family and your future.

Health and well-being

Target in India (TII) prioritizes our people by offering healthcare support, fitness programs, teleheath benefits (i.e., screenings and consultations) and 24/7 confidential mental well-being telecounseling support.

Financial well-being

Your financial well-being is bright with TII’s comprehensive flexible insurance program, National Pension System, learning assistance program, day care support and much more.

Paid time off

TII encourages work-life balance with paid time off like privilege, casual, bereavement and parental leaves that offer support in all stages of life.

Competitive pay

TII knows our people are everything and proudly provides equitable and competitive pay.

Other benefits

From digitalized cafeteria solutions to transportation services to broadband reimbursement, enjoy special everyday perks. More about pay & benefits

Eligibility requirements may vary based on position, average hours worked, length of service and program requirements. Benefits are subject to change.

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