SAP Analytics Consultant
Anywhere in United States
Description
The SAP Analytics Consultant is part of Rizing’s Strategic Analytics practice, responsible for helping Rizing’s clients shift to data-driven decision-making and achieve true insights from their data. As an analytics subject matter expert and consultant, you will be supporting the implementation of Rizing and SAP analytics solutions for customers and may also be involved in internal product and solution accelerator development.
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/ tensorflow)
- 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