Rizing, Consumer Industries is seeking an experienced Senior S/4 Consultant - SAC and Group Reporting.
Essential Functions:
- Involved in process and functional/technical design activities
- Involved in analysis of as-is and to-be processes
- Running analytics workshops and programs, including KPI definition, analytics systems implementations, data governance, and analytics competencies
- Creating functional or technical requirements and documentation as an input to application design
- Involved in application build, test, and deploy activities
- Plans and executes data conversion, extraction, wrangling, and cleansing activities
- Develops and tests detailed functional and technical designs for business solution components
- Drives test planning and execution break-fix, enhancements, and problem management delivery
Essential Functions (Continued):
- Develops analytics stories in canvas, responsive, grid, advanced story designing blending data, formulas, cross calculations, input controls, and linked analysis
- Connect data sources to SAP to enable live feeds
- Builds analytics and planning models, and visualizations with their usage charts, tables, maps, filters, dropdown menus, hiding functions, interactive objects, and pictures
- Supports business development processes as a subject matter expert
- Performs other duties as assigned
Required Qualifications:
- Bachelor’s degree in computer science, business, or statistics, or a related field
- SAP Analytics Cloud certification (or WFA certification and willing to attain SAC certification
- SAP Data Warehouse Cloud certification and/or acquired experience and expertise
- Experience creating Dashboards on several SAP systems (e.g. S/4 HANA, SAC, SuccessFactors) as well as Non-SAP systems (Flat Files, other non-SAP Data sources
- Must have worked on a minimum of 2 implementation projects in either SAP Analytics Cloud or WFA as well as SAP Data Warehouse Cloud
- Experience in creating models, Interactive Stories/Dashboards, and storyboards using Input controls, filters, tables, charts, geo maps, smart data insight, smart discovery, and mobile-enabled dashboards
- Experience in SAP Analytics Cloud and/or WFA security concepts, SAP Data Warehouse Cloud security concepts, authorizations, roles, and collaborations
- Fluency in English, with professional communication skills
Desired Qualifications:
- SAP Analytics Cloud Planning experience and certification
- SAP Data Warehouse Cloud experience and certification
- Experience with tools and languages including R, Python, SQL, R, Power BI, Tableau, and in the design and implementation of data pipelines that support the continuous delivery of insights
- SAP Workforce Analytics certification and experience
- Experience using SAP platforms, including SuccessFactors, S/4 Hana, and C/4
- Advanced knowledge of MS Office programs including Word, Excel, and PowerPoint
- Advanced knowledge of R and Python is preferred
- Understand business requirements through interacting with data analysts and end-users
- Ability to build strong relationships with customers and senior stakeholders
Desired Qualifications (Continued):
- Knowledge of data modeling and preparing datasets, merging, custom calculations, formatting values, dimensions, and measures
- Demonstrable track record of dealing well with ambiguity, ability to self-motivate, prioritizing needs, and delivering results in a dynamic environment
- Combination of deep technical skills and business savvy to interface with all levels and disciplines within our and our customer’s organizations
- Ability to extract, manipulate, transform, and analyze large volumes of data with a high level of accuracy
- Excellent at presenting data visually and attention to detail
Knowledge, Skills, and Abilities:
- Strong Process knowledge and Functional knowledge Technical Tools (Data Modeling/Warehousing/Intelligence (Products like SAP BI/BW, HANA, BW on HANA, BW/4 HANA, DWC; SQL, Snowflake, Databrick, Data Factory experiences), Reporting/Visualization (SAC, S/4 multidimensional reporting, BOBJ. Good to have: PowerBI, Qlikview, tableau), Data Integration/Streaming (BTP integration suit, SDI/SDA, KAFKA, obdc/jdbc/DB connect based integrations), Data Virtualization, Cloud Modeling/ Cloud Storage
- Data Lake/Pipeline (Azure, Data Mesh GCP) Data lifecycle
- Hyperscale Data platform management (preferred)
Knowledge, Skills, and Abilities (Continued:
- Transformation & Modeling Scripts, SQL Script, CDS modeling/Associations/AMDP scripting, Embedded Analytics, HANA Virtual Modeling/Analytical Privileges, Service modeling (data based), Statistical Model implementation using APL/DI (preferred), Data Frame knowledge, HANA Dataframe/Python/etc.
- Planning tools: IBP experience (Order Based Planning/Sales/Financial Planning, SAC based What-if-Analysis/ Smart discovery, Predictive/Forecast Analysis, Configurations & Administrations capabilities, Optimizations & Fine-Tuning Experience
