Target is looking to develop and maintain financial planning models using SAP Analytics Cloud (SAC) to improve data accuracy, timely data integration, and provide a seamless end-user experience for planning and forecasting routines, ultimately supporting data-driven decision-making across the organization.
Requirements
- 3+ years of experience with financial forecasting technology (e.g. Anaplan, Adaptive, SAP Analytics Cloud, SAP BPC); SAP Analytics Cloud preferred
- Experience in using SAC Excel Add-in and/or Analysis for Office or similar reporting tools
- Experience working with SQL, ETL tools and reporting or visualization tools (e.g. Power BI or Domo or similar tools)
- Experience working with scripting for custom reporting using JavaScript, React or Python
- SAP Certification in SAP Analytics Cloud or related technologies
- Experience in retail or e-commerce analytics
Responsibilities
- Collaborate with the Lead Data Analyst and FP&A teams to design and develop new SAC models that align with evolving business needs.
- Design, optimize, and maintain SAC data actions, stories and data pipelines in accordance with industry’s best practices.
- Maintain, enhance, and support existing SAP Analytics Cloud (SAC) planning models, including stories, data actions, and integration pipelines.
- Oversee and manage data load processes and refresh schedules to ensure accuracy, performance, and reliability.
- Develop and support both inbound and outbound data integrations between SAC and multiple data sources, including SAP ERP, SAP BW, and third-party systems.
- Troubleshoot and resolve user-reported issues related to forecasting, planning, and month-end close activities.
- Leverage advanced scripting and calculations within SAC to address complex business scenarios.
Other
- Undergraduate degree in Business, Finance, Information Technology, Information Systems, Computer Science, or related fields or related work experience
- 3+ years of experience working with Financial Planning and Forecasting Data Domain or related field
- Solid problem solving, analytical, data curiosity, data mining, data creation and consolidation skills
- Support conclusions with a clear, understandable story that leverages descriptive statistics, basic inferential statistics, and data visualizations
- Willingness to ask questions about business objectives and the measurement needs for a project workstream, and be able to measure objectives & key results
- Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them
- This role will require 2 days/week in the office in MN HQ Location.
