Sr Data Analyst - Planning & Inventory Management
Role details
Job location
Tech stack
Job description
As a Sr Data Analyst for Target's Planning & Inventory Management, Data Analytics team you'll leverage data, analytics, and insights to support critical business capabilities including Assortment & Inventory Planning, Forecast Management, In-Season Management, Key Event Management, and Strategy & Enablement. This role partners across planning, inventory, merchandising, and technology teams to transform data into actionable insights and provides recommendations that improve inventory availability, enhance forecasting accuracy, optimize inventory investments, and support profitable growth. Through advanced analytics, reporting, and performance measurement, you will help deliver a joyful Guest experience while enabling efficient inventory management and enterprise decision-making., * 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
- BA/BS or equivalent experience (Math, Statistics, Econometrics, Data Sciences, Computer Science, etc.) or equivalent work experience
- 3+ years of work experience in data analysis or masters level education in business analytics, data science, etc.
- Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts
- Proven hands-on experience in BI Visualization tool (i.e. Power BI, Looker, Tableau) with ability to learn additional vendor and proprietary visualizations tools
- 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
- Experience in R, Python, Hive or other open-source languages/database
- 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
- Strong attention to detail, excellent diagnostic, and problem-solving skills
- 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
- Competent and curious to ask questions and learn to fill gaps, desire to teach and learn
- Excellent communication, service orientation and strong relationship building skills
- Experience in Retail, Merchandising, Marketing preferred
- 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
- 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., Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D
Benefits & conditions
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Competitive benefits
We are proud to provide benefits that support you, your family and your future.
Health and well-being
Target offers comprehensive medical, dental and vision insurance plans. Plus, get free 24/7 virtual care and mental health support.
Financial well-being
Your financial future is bright with TGT 401(k) offering 5% eligible contribution matching and more discount and reimbursement programs.
Paid time off
Target encourages work-life balance by offering eligible team members vacation time and paid national holidays, sick time and family leave.
Education assistance
Target's industry-leading education assistance benefit, Dream to Be, offers tuition-free programs to support your growth.
Market-leading pay
Target is a proud pay leader in retail and highly competitive with other large companies, providing equitable and competitive pay for all.
Team Target discount
Team members get a 10% discount at all Target stores and Target.com, along with 20% off wellness products and 20% off adult owned-brand apparel and accessories. Plus, get an additional 5% savings with a Target Circle Card. 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.