SAP Analytics Cloud Experts
to turn business data into decisions with fast, precise AI matchingHire experts who connect SAP and non-SAP data, design planning models, and deliver interactive dashboards in SAP Analytics Cloud. FRATCH matches you quickly with vetted, available freelancers who fit your technical and business requirements.
Meet FRATCH Experts who have recently used SAP Analytics Cloud
Isabella S.
Last position:
Founder & Consultant at ISA ADVISE
- Independent consulting at the intersection of HR, Finance and IT
- Focus on People Analytics, HR Controlling, Pay Transparency, Compensation & Benefits and HR Transformation
- Analysis of complex HR and business data and development of reliable decision-making foundations for management and HR
- Design of KPI, reporting and BI solutions as well as data-based management models
- Consulting from analysis and concept development through implementation of transformation and optimization projects
- Focus on SAP Analytics Cloud, SAP BW and Power BI
- ISA = Insight · Structure · Alignment
Songül D.
Last position:
Freelance SAP BW Consultant at DKV Mobility Services
- Designed and implemented enhancements in SAP BW on HANA 7.5 in the context of CRM migration and S/4HANA and BW/4HANA transformation programs
- Migrated SAPI data sources to the ODP framework as part of the S/4HANA migration
- Delivered SAP ECC data to Snowflake using BW data models and Calculation Views for Power BI analytics
- Integrated SAP and non-SAP data sources (including MS Dynamics)
- Improved reporting transparency through consolidated data models
- Optimized data loading processes for FI-CO data sources, significantly improving load times and system performance
Mladen B.
Last position:
Senior SAP BW/4HANA / BPC / SAC Consultant – Freelancer at Company in Berlin and Belgium in the utilities sector
- Implementation of data models in BW/4HANA, ABAP CDS Views, HANA Calculation Views, AMDP Scripts, OData Services, object-oriented ABAP in BW, SAC.
- Adjustments in BPC for BW/4HANA.
Daryoosh D.
Last position:
FP&A Data & AI Architect at Epta Group
Scope: Embedded as FP&A Data & AI Architect within the Finance function of a major European refrigeration manufacturer, leading the transformation of manual, fragmented financial reporting into an automated, governance-driven intelligence platform. Driving the shift from Excel-based controlling to structured data architecture, Power BI analytics, and AI-assisted financial operations.
Financial Data Integrity & ERP Governance
- Initiated and led GL vs. subledger reconciliation investigations, identifying and resolving structural mismatches between General Ledger and subledger data that had gone undetected prior to engagement
- Conducted asset analysis to identify items missing from General Ledger postings, surfacing gaps in fixed asset tracking and period-end completeness
- Validated SAP reports, establishing baseline data quality standards for Finance team consumption
- Established systematic SAP data validation framework ensuring ongoing integrity between ERP postings and downstream reporting outputs
Finance Reporting Transformation
- Designed and implemented a structured Transformation Project approach for converting manual Finance reports into fully automated processes
- Created and owns the Data Reporting Audit Log; a centralized tracking system capturing report owners, stakeholders, data sources, manual effort estimates, and automation opportunity scores across the Finance function
- Mapped the full reporting landscape identifying quick-win automation targets and strategic Power BI migration candidates
- Actively reducing manual Excel and PowerPoint dependency across FP&A workflows; replacing point-in-time snapshots with live, governed data models
Power BI & Analytics Enablement
- Introduced and presented Power BI as the strategic reporting platform to Finance leadership, building internal buy-in for the BI transformation roadmap
- Designed initial Power BI architecture aligned with SAP, Salesforce and Oracle data structures and FP&A reporting requirements
- Established report ownership, governance documentation, and data lineage standards enabling sustainable self-service analytics across the Finance team
Transformation Infrastructure & Collaboration
- Configured and deployed Jira as the transformation project management hub, establishing structured sprint workflows, backlog management, and progress visibility for Finance IT initiatives
- Proposed and initiated a dedicated FP&A Communication & Transformation Hub, a structured cross-functional forum aligning Finance, IT, and business stakeholders around the reporting transformation roadmap
- Positioned the Finance function as an active driver of data governance and digital transformation within the broader organization
Outcomes
- GL/subledger reconciliation gaps identified and investigation framework established within first two weeks of engagement
- Data Reporting Audit Log deployed; first structured inventory of Finance reporting landscape in company history
- Power BI transformation roadmap presented and approved by Finance leadership
- Jira-based project governance live; Finance transformation now tracked with full sprint visibility
Technologies: SAP FI/CO · Power BI · DAX · SQL · Excel (advanced) · Power Query (M) · Power Automate · VBA · Jira · Microsoft 365 · SharePoint · Salesforce (Sales Data) · Oracle HCM · Python
Ajay Kumar D.
Last position:
Senior BI and Analytics Engineer at Novartis
- Led enterprise reporting modernization by migrating legacy SSRS reporting solutions to Power BI, supporting 500+ business users while ensuring full GDPR/DSGVO compliance.
- Designed and optimized Power BI and Microsoft Fabric semantic models using star schema, dimensional modeling, advanced DAX, and performance optimization techniques, reducing query latency by 25%.
- Delivered 20+ executive and operational dashboards featuring KPI scorecards, drill-through, bookmarks, and row-level security, improving reporting efficiency by 20%.
- Enabled self-service analytics through governed Power BI datasets, dataflows, and gateway architecture, increasing business-led reporting adoption by 35%.
- Configured an incremental refresh policy and query folding for a 50+ million row sales dataset, reducing daily report refresh times by 85%.
- Deployed automated ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, and Snowflake, reducing reporting delivery timelines by 40% through workflow automation.
- Spearheaded Microsoft Fabric analytics modernization initiatives including lakehouse architecture, OneLake integration, and centralized data platform development, reducing data latency from 2 hours to 20 minutes.
- Translated business requirements from 15+ stakeholders into scalable Power BI semantic models and dashboards, improving reporting consistency and reducing ad-hoc reporting requests by 25%.
- Applied Microsoft Copilot and generative AI tools to accelerate SQL development, DAX authoring, technical documentation, and testing activities, reducing development effort by approximately 15 hours per week.
Prem Chander A.
Last position:
Product owner for SAP PP, QM, APO, MM, MES and ABAP at Husqvarna Group (at HCLTech)
Development and Implementation
- Conceptualization and implementation of the various requirements.
- Experience and ability to collaborate with other delivery teams
- Lead a team of 15 people taking care of matters including monitoring operations, delegating tasks and managing budgets.
- Act as product owner and represent the product vision, strategy and priorities in the area of production operations.
- Work closely with the members of the area including developers, analysts and QA to ensure the successful delivery of logistics features and improvements.
- Lead the process design and lead the build team for the SAP implementation (EU countries) and post-merger integration in SAP PP, QM, MM, APO and SD modules.
- Implemented and optimized MRP Live (MD01N) for multiple plants, improving planning runtime
- Worked with business users to transition from classic MRP to MRP Live
- Implemented SAP QM module, including quality planning and inspection lot processing, resulting in a 20% improvement in product quality compliance.
- Developed and tested custom reports using SAP Query and ABAP for MES data analytics, improving visibility into yield rates and resource utilization.
- Translate production requirements into clear and actionable user stories, acceptance criteria and technical specifications.
- Skilled in discrete, and process/manufacturing (PP-PI) environments; deep understanding of master data, production & process orders, recipe management, batch management, capacity & scheduling, shop floor control, and integration with QM, MM, EWM, MES.
- Worked in Variant configuration (VC)
- Supported international rollouts and transformation projects for SAP PP, QM, PPDS, aATP, EWM, and Variant Configuration within a global strategy.
- Tested functionalities for various business scenarios include interface systems
- Involved in SIT and UAT and cutover activities
Technology: Project Management, SAP PP, QM, MM, APO, ABAP OO, HANA Modelling, FIORI, SAP UI5, AMDP, SAP SD, SAP FICO and S4 HANA Emedded analytics
Amelie M.
Last position:
Project Manager | Agile Coach at Einhundert Energie GmbH
- Reorganizing and structuring business units in line with agile frameworks
- Scaling agile ways of working across multiple teams and departments
- Advising and supporting teams in forming squads and introducing new meeting structures
- Introducing agile portfolio management to align strategic initiatives
- Implementing metrics and KPIs to measure agile maturity and success
- Assisting in integrating agile methods into existing company processes
Minal B.
Last position:
Business Intelligence Specialist at Coster Special Technologies S.p.A.
- Designed and developed interactive SAP Analytics Cloud (SAC) dashboards and reports for Finance, Supply Chain, Logistics, Procurement, HR, and Manufacturing, covering KPIs such as Profit & Loss, Balance Sheet, Fixed Costs, Headcount, Personnel Expenses, Stock Analysis, OTIF, Production Volume, BOM, Spend, and Compliance to Schedule.
- Built and optimized end-to-end ABAP CDS data models (Basic, Composite, and Consumption Views) using the VDM approach, integrating data from key SAP S/4HANA tables. Strong expertise in ABAP CDS, SQL, SAP data modeling,
- Collaborated with cross-functional teams to define KPI logic, standardized user story templates, resolved BI requests through JIRA, improved reporting performance, and delivered scalable, secure, and business-focused analytics solutions that enhanced decision-making and operational efficiency.
- Trained business stakeholders across various countries on SAP Analytics Cloud (SAC) dashboard usage and developed comprehensive training manuals to promote user adoption and enable self-service analytics.
Björn S.
Last position:
External IT Director SAP / IT Transformation Manager at Finanzministerium Berlin
IT infrastructure / SAP Grantor / SAP BTP transformation project at the Berlin Ministry of Finance to digitalize public funding programs. The goal was a clean-core-oriented SAP BTP solution architecture with CAP/RAP services, APIs, integrations, and operational readiness for run, AMO, and AMS structures.
- Industry: Federal authority, FM Berlin
- Budget 2026: 5 million EUR
- Planned budget for 2027: 8.7 million EUR
- Team size: 45 FTE
Gregor P.
Last position:
Engineering Data Management Project Manager
Technical and commercial risk assessment for an investment project in the hardware sector (scaling potential, liability risks, operational processes) Process consulting for two SMEs in the engineering environment, focusing on workflow digitization, PLM
Bruno M.
Last position:
Enterprise Architect at Hornbach
- Lead enterprise architecture, data and AI strategy initiatives across business domains, value streams, SAP, cloud, integration, process intelligence and governance, aligning transformation roadmaps with strategic business outcomes.
- Define enterprise data and knowledge strategy across business domains and enterprise taxonomy, including knowledge graph, data governance with focus on ownership, metadata frameworks, business glossaries, data product orientation, interoperability and AI-enabling architecture.
- Shape AI governance and decision-intelligence strategy using autonomous enterprise concepts, including policies, guardrails, reference architectures and knowledge-based patterns for responsible AI adoption and enterprise knowledge reuse.
- Support SAP S/4HANA cloud migration strategy and evaluate the future SAP ecosystem, including SAP BTP, Integration Suite, Business Data Cloud, SAP Analytics Cloud and Datasphere.
- Drive architecture debt management, portfolio transparency and application rationalization through architecture principles, governance models, decision frameworks and LeanIX-based Enterprise Architecture Management.
- Align business architecture and process intelligence using Signavio to connect value chains, capabilities, processes, data strategy, knowledge flows and transformation roadmaps.
- Define operating models for data governance, architecture governance, cloud, integration, API management, AI governance and knowledge sharing.
- Act as trusted advisor to executive stakeholders and business domain leaders across product, sales, finance, logistics, customer care and shared services.
Diana G.
Last position:
Interim Project-Controller at Supplying industry defence
- Developed organization, task descriptions, processes and systems of the controlling system to improve activities.
- Harmonized ERP software within the group across IT procurement, plan data, controlling and reporting.
- Designed the basis for an agile and modern IT control system.
- Set up budget plans and supported master data and planning.
- Monitored and validated projects in the PM tool Sciforma, covering OPEX and CAPEX in line with legal requirements and group rules.
- Performed PMO assistance activities including meeting minutes, presentations and reports.
- Tools: SAP FI/CO, SAP MM, SAP PPM, PM-Tool Sciforma, MS Office 365.
Joel E.
Last position:
Interim Vice President Group Financial Development & Transition at Viessmann Climate Solutions Group
- Climate solutions, approx. 14,800 employees, approx. €3.9 billion revenue
- Led and managed the carve-out of Viessmann Climate Solutions from the Viessmann Group into the publicly traded US group Carrier Global Corporation
- Responsible for adapting and converting monthly, quarterly, and annual financial statements to US GAAP, including group reporting to Carrier Group
- Further developed, restructured, and optimized group reporting, commercial processes & structures; implemented Fast Close & Power BI; and developed and coached finance departments
Lorena P.
Last position:
Director Financial Planning & Analysis at Calibre Scientific Germany GmbH
- Directed FP&A and Controlling across 11 entities in Germany, Spain and Italy (~€90M revenue, ~€22M OPEX) aligning financial strategy with Private Equity value-creation targets.
- Generated ~€4M annual OPEX savings (~18%) by consolidating 5 entities into 2 in Spain and 5 into 3 in Germany, while steering the integration of 4 acquisitions.
- Increased EBIT by 2pp through pricing optimization, strategic planning, and operational efficiency initiatives.
- Coordinated post-acquisition integration across Europe, harmonizing systems, processes, and finance operations.
- Led finance initiatives and coordinated an international finance team of 7 in a matrix structure, supporting the S/4HANA finance workstream and process harmonization across entities.
- Delivered investor-grade reporting, KPI narratives, and strategic insights to CFO, Board, and Managing Directors; granted Prokura to safeguard operational continuity during leadership transition.
Stefan R.
Last position:
Corporate Controller / Private Equity Controller (PE) interim at Amedes Medical Services GmbH
- Responsibility for group-wide financial management with a focus on management, PE, and lender reporting.
- Focus on an integrated financial model (P&L, balance sheet, cash flow), robust liquidity and covenant management, and preparation of decision-ready materials for financiers, auditors, and rating stakeholders.
- Establishment of reporting standards, data logic, and closing routines for high-frequency scalability.
- Further development of an integrated financial model (P&L/BS/CF), including scenario capabilities, sensitivities, and driver-based forecasting logic.
- Design and management of a rolling liquidity plan (short-/mid-term), including working capital mechanisms and financing instruments.
- Preparation and quality assurance of lender reporting, including covenant calculations, bridge analyses, and variance explanations.
- Support for the CFO agenda in financier and stakeholder communication (Q&A, documentation logic, key messages, data consistency).
- Coordination and content input for rating- and financing-related deliverables (e.g., presentations, data rooms, management commentary).
- Management of IFRS/accounting topics (e.g., IFRS 16 lease logic, accrual and reconciliation concepts) to ensure reporting and audit readiness.
- Standardization of reporting structures, templates, and KPI definitions across entities to increase transparency, comparability, and speed.
Discover over 15,000 top freelancers
Statistics of experts using SAP Analytics Cloud
Aggregated from the professional profiles of matched freelancers.
Experience
21 years

Position duration
2.3 years

Positions per freelancer
14

Top business areas
Information Technology, Business Intelligence, Project Management

Top industries
Information Technology, Professional Services, Manufacturing

Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
95%
Master's degree or higher
67%
Doctorate
12%

Certifications per freelancer
3

Most common languages
German, English, French

Speak two or more languages
100%
Based on our profile pool as of 10 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts using SAP Analytics Cloud
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 10 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
SAP Analytics Cloud experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (80%)
- Professional Services (80%)
- Manufacturing (64%)
- Automotive (54%)
- Energy (44%)
- Banking and Finance (42%)
- Pharmaceutical (34%)
- Transportation (32%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What SAP Analytics Cloud does
SAP Analytics Cloud, often called SAC, combines business intelligence, planning, and predictive analytics in one cloud service. Companies use it to explore operational data, create dashboards, model scenarios, and align financial or business plans with actual performance. It supports governed self-service analysis while keeping data and processes connected to the wider SAP landscape.
Core use cases
SAC projects range from executive reporting to detailed planning workflows. Typical deliverables include:
- Interactive dashboards for finance, sales, procurement, and operations
- Financial planning, budgeting, forecasting, and variance analysis
- Data models that combine SAP and external sources
- Predictive insights and scenario-based decision support
- Analytic applications with guided navigation and user actions
Ecosystem and tooling
Strong specialists understand SAP S/4HANA, SAP BW/4HANA, SAP Datasphere, and SAP HANA, as well as connections to non-SAP systems. They work with live connections and imported data, dimensions, measures, hierarchies, stories, analytic applications, and planning models. Knowledge of identity management, data access controls, transport processes, and SAP security is also important for reliable production use.
When freelance expertise helps
Companies often bring in freelance professionals during a new SAC implementation, a migration from spreadsheets or SAP BusinessObjects, or a redesign of existing reporting. External expertise is useful when internal teams need a planning model, a fast proof of concept, or a clean connection between finance processes and operational data. Specialists can also review performance, governance, and adoption before a wider rollout.
What strong professionals deliver
Quality work starts with clear business definitions rather than attractive charts alone. A capable SAC professional translates planning and reporting requirements into maintainable models, documents data lineage, tests calculations, and controls access by business role. They also challenge inconsistent source data, explain trade-offs between live and imported models, and make dashboards useful for the people who act on them.
Choosing the right specialist
Look for relevant delivery experience across the parts of SAC your project needs: reporting, planning, predictive analysis, data integration, or administration. Ask for examples of model design, performance troubleshooting, and stakeholder workshops, not only visual samples. Confirm familiarity with your SAP architecture, source systems, security approach, and release process. The best fit combines hands-on SAC knowledge with an understanding of finance or the operational domain behind the data.
Frequently asked questions
Before you brief your next project: the most common questions about SAP Analytics Cloud.
SAP Analytics Cloud is used for dashboards, business reporting, financial planning, forecasting, and predictive analysis. It can combine information from SAP and external systems so teams can examine performance and plan actions in one environment.
SAP Analytics Cloud is especially suited to organizations that rely on SAP data, planning processes, and governed enterprise reporting. Power BI and Tableau may be preferred for broader visualization ecosystems or different self-service workflows, so the right choice depends on data architecture, planning needs, governance, and existing skills.
A strong SAP Analytics Cloud specialist may also work with SAP S/4HANA, SAP BW/4HANA, SAP Datasphere, SAP HANA, and SAP Integration Suite. SQL, data modeling, financial planning, identity management, and SAP security are valuable supporting skills.
The required background depends on the scope. A dashboard build may need a specialist focused on stories and data connections, while an enterprise planning rollout calls for deeper skills in model design, workflows, security, testing, and change management. Ask for examples that match your use case rather than relying on a generic profile.
SAP Analytics Cloud supports both live connections and imported data models. Live access can help keep information close to its source, while imported data may offer additional modeling flexibility and performance options; the decision depends on latency, governance, source capabilities, and reporting complexity.
Yes. SAP Analytics Cloud work is often well suited to remote collaboration because requirements, model reviews, configuration, and testing can be handled through shared environments and video workshops. On-site sessions can still help with process discovery, stakeholder alignment, and training for complex planning programs.
Ask how the SAP Analytics Cloud specialist handles data lineage, calculation logic, access control, performance, testing, and documentation. A good professional can explain why they chose a live or imported model and can show how business requirements became maintainable reports or planning workflows.
SAP Analytics Cloud was previously known as SAP BusinessObjects Cloud. The abbreviation SAC is widely used today, but a specialist should understand both names when reviewing older documentation, project records, or migration requirements.
The average hourly rate of freelancers who have used SAP Analytics Cloud in their recent projects is 122 €, which corresponds to a daily rate of about 972 € based on an 8-hour working day.
Of the freelancers who have used SAP Analytics Cloud in their recent projects, 95% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 12% hold a doctorate.
On average, freelancers who have used SAP Analytics Cloud in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers who have used SAP Analytics Cloud in their recent projects are German (98%), English (98%), and French (34%).
The most common industries among freelancers who have used SAP Analytics Cloud in their recent projects are Information Technology (80%), Professional Services (80%), and Manufacturing (64%).
The most common business areas among freelancers who have used SAP Analytics Cloud in their recent projects are Information Technology (94%), Business Intelligence (82%), and Project Management (80%).
Main locations of FRATCH Experts, who have recently used SAP Analytics Cloud
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
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