• Analyze data extracted from SAP systems (ECC or S/4HANA), ensuring the quality, consistency and reliability of the information. • Develop management reports, dashboards and KPIs from SAP data to support tactical and strategic decisions. • Perform analyses involving business process data (e.g., production, logistics, finance, supply chain, sales). • Collaborate with business areas, translating operational needs into analytical requirements. • Support the definition of metrics, indicators and data governance criteria. • Work in partnership with IT, BI and Data Engineering teams on data extraction, transformation and modeling. • Ensure correct interpretation of SAP data, considering business rules and integrations between modules. • Support projects to evolve the analytical environment, migrations (e.g., ECC to S/4HANA) and digital transformation initiatives. • Serve as a senior technical reference for SAP data within the organization.

• You operate at the interface between data analysis, data engineering and business units. • Analyze and prepare complex data from various sources • Build, develop and optimize data pipelines and data models • Develop meaningful reports, dashboards and data-driven decision support • Work closely with business units to translate requirements into data solutions • Ensure data quality, performance and scalability • Improve processes and standards for handling data

• Own enterprise client onboarding for agentic AI implementations, including data analysis, topic clustering, coverage planning, and workflow/action design • Design, implement, and optimize prompts, conversation flows, agent logic, and knowledge configurations for production AI agents • Deliver AI solutions end-to-end, from solution design through UAT, production launch, and post-go-live optimization • Own post-launch AI performance at the client level, driving improvements in containment, resolution quality, and handoff reduction • Analyze conversation data, quality signals, and DSAT drivers to identify root causes and optimization opportunities • Implement iterative improvements across prompts, workflows, actions, guardrails, and knowledge bases based on data and evaluation results • Collaborate with AI Quality & Evaluation teams to validate response accuracy, conversation quality, and regression risk • Partner with Client Analytics and ML-Ops teams to act on insights, platform changes, and production issues • Mentor junior analysts and engineers through design reviews, solution feedback, and applied AI best-practice guidance

Title: Sr Data Analyst - Digital Ecommerce (Math/Stats, A/B testing, ML)(Remote Or Hybrid) Location: MN-Minneapolis, Sunnyvale, CA Job Description: - 1000 Nicollet Mall, Minneapolis, MN, US 55403-2542 - Marketing & Digital - Full-time - $88,000 - $190,000 USD annually Job Id: R0000437997 100 Mathilda Place, Sunnyvale, CA The pay range is $88,000.00 - $190,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests 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. JOIN TARGET AS A SR DATA ANALYST - DIGITAL About us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. Data & Analytics—Business Insights & Analytics Behind one of the world’s best loved brands is a uniquely capable and brilliant team of applied data scientists, engineers and data 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 Search 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. A role with our Digital Analytics and Insights group means being part of a team that enables data-driven decision-making to enhance business performance in the modern retail landscape. As a Senior Digital Analyst, you will leverage data, statistics, and visualization to generate actionable insights that drive value across multiple business functions. In this role, you will utilize market-leading tools, data automation, and analytical methodologies to support reporting and performance measurement. You will collaborate with cross-functional teams to analyze trends, optimize digital strategies, and provide clear recommendations for business growth. We are looking for an analytical thinker with hands-on experience in data extraction, transformation, and visualization. The ideal candidate should be comfortable working with large datasets, building scalable reports, and simplifying complex data to enable efficient decision-making. If you are passionate about analytics, can work independently as well as in a team, and have a keen eye for identifying opportunities through data, you will thrive in our team! Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you: - 4-year degree or equivalent experience - 3+ years of experience as a Data Analyst in industry with strong performance in a quantitative field or equivalent experience - Advanced SQL experience writing complex queries and accomplished in Python or R - Demonstrated experience in analytics tools such as: SQL, Hadoop, Hive, Spark, Power BI, Adobe Analytics (or Google Analytics) and/or equivalent technologies - Knowledge of A/B Testing methods and time series forecasting models including statistical analysis - Builds detailed reports and dashboards using various tools, designs and implements data visualizations to communicate complex data clearly. Prepare data models and analysis to identify, analyze and interpret trends or patterns in complex data sets for values and new opportunities. - Experience leveraging advanced analytics and AI-driven approaches (e.g., predictive modeling, machine learning, or AI-enabled tools) to enhance decision-making - Works closely with cross functional teams to understand data needs, value opportunities and delivers solutions in partnership with digital technology and data engineering teams to ensure data integrity and accuracy - Ensures the accuracy, consistency, and security of data across all reports and analysis - Solid problem solving, analytical skills, data curiosity, data mining, Data creation and consolidation - Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them - Cultivates and maintains positive partners relationships to understand their data needs, provides insights and finds improvement opportunities, and ensures reporting solutions address key objectives This position may be considered for a Remote or Hybrid (known internally at Target as "Flex for Your Day") work arrangement based on Target's needs.  A Remote work arrangement means the team member works full-time from home or an alternate location that's not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year.  A Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a Target location depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.