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IBM Planning Analytics Experts in Germany

for faster, clearer planning with vetted specialists matched by AI

Hire experts who design TM1 models, automate TurboIntegrator processes and connect financial planning with reporting and enterprise data. FRATCH matches you quickly with precise, vetted and available freelance specialists for remote or on-site work in Germany.

Meet FRATCH Experts in Germany, who have recently used IBM Planning Analytics

Verified expert

Michael K.

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Freelance Consultant

Blaichach
Michael K.

Last position:

Freelance Consultant at Tepo – Gebäudedienste GmbH

  • Replacement and renewal of the existing client PCs with an upgrade to Windows 11 and mobile workstations with laptops and docking stations
  • Introduction of Office365 with OneDrive use
  • Introduction of e-invoicing with DATEV accounting software
  • Revision of the standard office applications in daily use
  • File storage in SharePoint instead of local data storage
  • New authorization structure for users
  • Use of Microsoft accounts to synchronize profiles
  • Reorganization of the document scanning process with storage in SharePoint
  • New backup concept in addition to the Microsoft cloud solution
  • Introduction of new data structures: review and separation of data into active, inactive, private, business
  • Simplification of processes
  • Increased data security and improved security
  • Permanent data availability at all internal and external workplaces
Verified expert

Michael S.

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Prof. Dr. Michael Serejenkov

Hanover
Michael S.

Last position:

Data Scientist at CompuGroup Medical Deutschland AG, docmetric GmbH

Development of AI-based and classical models for analyzing medical and patient data, including medication analyses, diagnosis analyses, forecasts, procedure analyses, dosage analyses, comorbidity analyses, prescription analyses, patient potential analyses, and referral profile analyses. Analyses in the area of Real World Evidence.

  • Gathering customer requirements
  • Planning the subproject
  • Designing and defining KPIs
  • Designing and developing models and visualizations of the results using customer dashboards
  • Developing and implementing DWH adjustments
  • Deriving recommendations for action

Methods, technologies: Simulation, Artificial Intelligence, Python, R, SQL, Microsoft Power BI, Amazon Web Services, Elasticsearch, PostgreSQL, Databricks, Multivariate Statistics

Verified expert

Fahad R.

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AI Platform Engineer | MLOps | Kubernetes | Cloud Infrastructure

Bonn
Fahad R.

Last position:

Data Science – Operations Optimization at Netto-marken

Project: Digitalization of Warehouse Processes | Building a Data Analytics Platform.

  • Built a web-based workforce allocation system that digitized daily shift planning by matching worker expertise to operational zones, replacing manual coordination with a structured workflow adopted across the site, saving supervisors time on daily planning.
  • Developed a real-time operational visibility dashboard giving supervisors a live view of task throughput and outstanding workload across warehouse zones throughout the day, helping reduce overtime and idle labour costs.
  • Developed a slotting optimization solution to improve warehouse picking efficiency and reduce picking time per order, working directly with operations teams from concept through production deployment.

Technologies used: Python, Django, PostgreSQL, Pandas, NumPy, HTML, Java, JavaScript, Docker, Kubernetes, AWS, Power BI, GitHub Actions CI/CD, GitOps, Claude, OpenAI

Verified expert

Oscar S.

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Interim Manager

Stralsund
Oscar S.

Last position:

Project Manager at ZWILLING J.A. Henckels AG

  • Shifted roles from Business Analyst to Project Manager: steering delivery instead of gathering requirements.
  • Led the make-or-buy decision and presented it to the Group IT management.
  • Provided functional input for procurement contract negotiations, followed by sprint-based partner management.
  • Evaluated the low-code platform OutSystems against the complete requirements catalog.
  • Transferred the requirements catalog to Jira: ten epics, more than 140 issues, and acceptance criteria in Given-When-Then notation.
  • Assessed three implementation partners.
  • Implementation is progressing in sprints based on the delivered backlog.

Methods and approaches: Make-or-buy assessment, user stories with Gherkin, sprint management, migration planning

Enterprise systems: OutSystems, SAP S/4HANA, PCM, Snowflake, IBM Planning Analytics (TM1), Jira

Technologies and tools: Python, Microsoft Excel, Claude (Anthropic API)

Verified expert

Carsten F.

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Interim Controller & Power BI Developer

Waldbronn
Carsten F.

Last position:

Interim Controller / Knowledge Transfer at Mid-sized manufacturing company in the construction industry, existing client

Focus areas: Knowledge transfer, reporting, cost analysis Responsibilities

  • Ensuring knowledge transfer from the departing controller
  • Documentation of key controlling processes
  • Operational controlling (liquidity planning, reporting)
  • Simplification of the cost center structure to improve cost analysis Results
  • Transparent knowledge transfer and sustainable documentation of controlling processes
  • Improved cost analysis and more efficient reporting
Verified expert

Axel K.

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Data Engineer & Business Analyst

Munich
Axel K.

Last position:

Data Engineer & Business Analyst at Metafinanz

  • Migration of existing data jobs from Cognos Data Manager to Tibco/IBI Datamigrator
  • Migration data jobs parametrisation for dynamic runs
  • Optimisation and cutting-back
  • Regression tests
  • Knowledge transfer and documentation
Verified expert

Umut G.

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Freelancer

Frankfurt
Umut G.

Last position:

Data Architect at BA Technology

I am an experienced data engineer specializing in end‑to‑end data integration, cloud DWH architectures, and high‑quality, governed data products.

I delivered following projects and engagements as a freelancer.

  • Data Migration of CRM System for AL-FA Objekt Service Gmbh
  • Microsoft Software Resales Partnership

I am looking for freelance roles like: Freelance Data Engineer Cloud Data Warehouse Architect Data Modeling & Architecture Consultant MDM & Data Governance Specialist BI & Analytics Developer

Technical Focus Areas

  • Data Engineering & Integration: SQL Server/SSIS, Informatica PowerCenter/IDQ, Talend, Kafka, Azure Data Factory – Delta/CDC/ELT patterns, robust pipelines, monitoring/recovery, data lineage & impact analysis, medallion architecture Bronze/Silver/Gold layers
  • DWH & Cloud: Azure SQL / Data Lake / Synapse, AWS Redshift/S3, on‑prem SQL/Oracle – scalable data marts with a strong cost/benefit focus.
  • Data Modeling: Atomic (Inmon) and Dimensional (Kimball), Data Vault (Linstedt), Domain‑Driven Design, clear lineage & contracts.
  • MDM & Governance: Informatica MDM, IBM MDM, stewardship processes, data quality rules, survivorship/XREF, catalog/glossary, SIF/BES/REST publication.
  • Analytics/BI: Power BI, SSAS, Cognos – business‑ready, maintainable data products.
Verified expert

Henok A.

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Founder and Managing Director

Essen
Henok A.

Last position:

Founder and Managing Director at Afworki GmbH IT-Consulting

  • The goal of Afworki GmbH IT-Consulting is to make small and medium-sized companies more competitive by overcoming challenges in digitalization, automation, and data management.

  • Tailored technology, strategy, and specialist consulting designed to meet the individual needs of each company.

  • Analyzing the company's current situation and developing the best possible solution together with the client.

  • Using both agile and classical IT project management methods to deliver projects on time and within budget.

  • Focusing on automating and orchestrating all data flows in a data warehouse to create a unified and standardized data foundation.

  • Considering the dependencies between IT and business to achieve sustainable positive effects.

  • Employing modern strategies and tools specifically tailored to the company's needs.

  • Supporting digitalization, the introduction of agile working methods, and the creation of up-to-date reports and analyses.

  • Objective: streamlining management and enabling well-founded, data-driven decision-making.

Verified expert

Norbert G.

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Support for implementing the Pimcore CMS as well as support assistance and partner management

Vaterstetten
Norbert G.

Last position:

Support for implementing the Pimcore CMS as well as support assistance and partner management at Akademisch Arbeitsgemeinschaft GmbH

  • Support for implementing the Pimcore CMS, support assistance, and partner management for the existing application landscape.
  • Know-how transfer to the existing application landscape.
  • Advising stakeholders on the new implementation.
  • Support in data modeling for Pimcore.
  • Designing and overseeing data migrations from Salesforce to Pimcore using ESB.
  • Creating user stories.
  • 3rd level support for business-critical processes.
  • Technologies: Salesforce Marketing, Sales, and Service Cloud; Talend ESB; Pimcore; Shopware; ERP system Move; DB2; MySQL; MS Office; MS Visio; Jira; Confluence.
Verified expert

Moez S.

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Data Engineer

Königswinter
Moez S.

Last position:

Data Engineer at Loschelder Rechtsanwälte Partnerschaftsgesellschaft mbB

  • Designed a future-proof client database for marketing purposes
  • Analyzed requirements, designed, and modeled an entity-relationship model
  • Consolidated and optimized a client file from various data sources for targeted marketing campaigns
  • Worked closely with marketing and IT in an agile environment to iteratively develop the solution
  • Technologies and methods: MS Office (mainly Excel), MS Dynamics CRM, MS SharePoint
Verified expert

Andrei B.

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Head of Group Performance and Strategy

Grevenbroich
Andrei B.

Last position:

Head of Group Performance and Strategy at SPEIRA GmbH

  • While running FP&A processes, initiated and implemented changes therein, improving depth, speed, and accuracy: performance analysis; monthly reporting to the shareholders; forecasting/estimating; annual planning/budgeting
  • Quantified and formulated a strategic plan for the Group
  • Provided insights leading to operational and strategic decisions
  • Ensured timely progress in strategic projects
  • Corporate Finance
  • Data Analytics
  • Presentation/Pitching
  • Stakeholder Management
  • Strategic Planning / Budgeting
Verified expert

Michael S.

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Application Operations

Erding
Michael S.

Last position:

Application Operations at Hausbank

  • Configuration and expansion of monitoring
  • Setup of a monitoring test instance and inclusion of Windows and Linux servers
  • Creation of documentation for the checkmk environment
  • Handover to operations
  • Administration, installation, documentation
  • IT environment: Windows Server 2019, Ubuntu Server, Checkmk
Verified expert

Diana G.

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Interim Project-Controller

Munich
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.
Verified expert

Maximilian T.

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Controlling Consultant

Stödtlen
Maximilian T.

Last position:

Controlling Consultant at The better green GmbH

  • Development of a planning workbook for P&L and balance sheet items

  • Introduction of planning workshops with management, procurement, and plant construction managers

  • Mapping the original plan into an SKR04 structure

  • Analysis and optimization of the payment run process, implementation of CANDIS.IO and Datev

  • Determination of capital requirements for all entities until 2025

  • Implementation of planning structures

  • Setup of a basic actual vs. target reporting, resulting in higher cost transparency

Discover over 15,000 top freelancers

Statistics of experts using IBM Planning Analytics

Aggregated from the professional profiles of matched freelancers.

Experience

23 years

IBM Planning Analytics experts in Germany have 23 years of professional experience on average.

Position duration

1.8 years

IBM Planning Analytics experts in Germany stay in a single position for 1.8 years on average.

Positions per freelancer

15

IBM Planning Analytics experts in Germany have completed 15 positions on average over the course of their careers.

Top business areas

Business Intelligence, Information Technology, Project Management

IBM Planning Analytics experts in Germany have gathered most of their hands-on project experience in Business Intelligence, Information Technology, and Project Management.

Top industries

Information Technology, Manufacturing, Professional Services

IBM Planning Analytics experts in Germany are most in demand in Information Technology, Manufacturing, and Professional Services.

Certification focus areas

Information Technology, Business Intelligence, Project Management

IBM Planning Analytics experts in Germany earn their certifications most often in Information Technology, Business Intelligence, and Project Management.

Bachelor's degree or higher

100%

100% of IBM Planning Analytics experts in Germany hold at least a Bachelor's degree.

Master's degree or higher

54%

54% of IBM Planning Analytics experts in Germany hold at least a Master's degree.

Doctorate

12%

12% of IBM Planning Analytics experts in Germany have a doctorate (PhD).

Certifications per freelancer

4

IBM Planning Analytics experts in Germany hold 4 professional certifications on average.

Most common languages

German, English, Spanish

IBM Planning Analytics experts in Germany most often speak German, English, and Spanish.

Speak two or more languages

93%

93% of IBM Planning Analytics experts in Germany speak two or more languages.

Based on our profile pool as of 19 Sep 2026.

Daily rate distribution

0 3 6 9 12
One of the IBM Planning Analytics experts in Germany charges less than €480 per day.
One of the IBM Planning Analytics experts in Germany charges between €640 and €800 per day.
10 of the IBM Planning Analytics experts in Germany charge between €800 and €960 per day.
8 of the IBM Planning Analytics experts in Germany charge between €960 and €1120 per day.
6 of the IBM Planning Analytics experts in Germany charge €1120 or more per day.
<€480 €640-​800 €800-​960 €960-​1120 €1120+

The chart shows how the daily rates of freelancers in this technology in Germany 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 in Germany using IBM Planning Analytics

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 968 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 960 €

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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

IBM Planning Analytics 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%)
  • Manufacturing (70%)
  • Professional Services (70%)
  • Banking and Finance (63%)
  • Automotive (43%)
  • Retail (43%)
  • Energy (40%)
  • Food and Beverage (40%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

Planning and performance management

IBM Planning Analytics is a platform for financial planning, budgeting, forecasting and management reporting. Its multidimensional models help organisations analyse revenue, costs, workforce plans and operational drivers in one connected environment. The technology is widely known through its TM1 engine and supports controlled, repeatable planning processes.

TM1 models and data

Specialists structure cubes, dimensions, hierarchies, rules and feeder logic so business users can plan with consistent definitions. They also design input forms, views and workflows for different departments, legal entities and reporting needs. Strong model design keeps calculations transparent and makes future changes easier to manage.

Ecosystem and tooling

The ecosystem commonly includes Planning Analytics Workspace, Planning Analytics for Excel and TurboIntegrator. Professionals may connect the platform with IBM Cognos Analytics, relational databases, data warehouses and enterprise resource planning systems. Useful adjacent skills include SQL, data modelling, financial reporting, security design and integration monitoring.

  • Build budgeting and forecasting models
  • Create TurboIntegrator data loads
  • Configure Planning Analytics Workspace applications
  • Connect source systems and reporting layers

When companies need specialists

Companies bring in freelance expertise during a new implementation, model redesign or migration from an older TM1 environment. External support is also valuable when planning cycles are slow, manual spreadsheets create conflicting figures or internal teams need a reliable operating model. In Germany, remote collaboration is common, while workshops may benefit from on-site availability and German business communication.

Delivery and governance

A capable professional starts with planning requirements, chart-of-accounts structures, data ownership and approval rules. They document model logic, test calculation paths and establish security by user group, dimension and application. They also prepare clear handover material so finance teams can maintain the solution after delivery.

Choosing the right professional

Look for practical evidence across modelling, integration and user enablement rather than familiarity with product terminology alone. Ask how the specialist handles sparse data, rule performance, time dimensions, scenario versions and changing hierarchies. The strongest professionals connect technical decisions to planning processes and explain trade-offs clearly to finance and IT stakeholders.

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Frequently asked questions

Everything clients usually want to know about IBM Planning Analytics, in one place.

IBM Planning Analytics is used for budgeting, forecasting, management reporting and scenario analysis. Its TM1-based models let finance and operational teams work with shared dimensions, assumptions and planning workflows instead of disconnected spreadsheets.

IBM Planning Analytics is centred on multidimensional planning models, write-back and governed financial processes. Power BI is primarily used for analytics and visualisation, while Anaplan is a cloud planning alternative; the right choice depends on modelling depth, existing IBM systems, deployment preferences and user needs.

An IBM Planning Analytics specialist should understand financial planning, SQL, data warehouses and enterprise resource planning data. Experience with TurboIntegrator, Planning Analytics Workspace, Planning Analytics for Excel, Cognos Analytics and security design is also valuable.

The required experience depends on the scope and risk of the model. A simple enhancement may suit a specialist familiar with a defined TM1 environment, while a global planning redesign calls for a professional who has handled complex dimensions, integrations, security and user adoption.

Yes. IBM Planning Analytics work is often suitable for remote collaboration because modelling, configuration, testing and documentation can be managed through shared environments. German-language workshops or on-site sessions may still be useful when requirements involve local finance teams and stakeholders in Germany.

Ask for examples of model structures, integration approaches and documentation practices, while protecting confidential information. A strong IBM Planning Analytics professional can explain rules and feeders clearly, demonstrate testing discipline and connect technical choices to measurable planning needs.

No. IBM Planning Analytics can support sales, workforce, supply chain and operational planning when those processes share data and assumptions with finance. Its multidimensional structure helps teams model drivers, scenarios and responsibilities across an organisation.

Freelancers working with IBM Planning Analytics should be comfortable translating finance requirements into TM1 models and documenting decisions for audit and handover. Projects in Germany may involve German-language communication, local reporting structures and collaboration with distributed IT and business teams.

The average hourly rate of freelancers in Germany who have used IBM Planning Analytics in their recent projects is 121 €, which corresponds to a daily rate of about 968 € based on an 8-hour working day.

Of the freelancers in Germany who have used IBM Planning Analytics in their recent projects, 100% hold at least a Bachelor's degree, 54% hold at least a Master's degree, and 12% hold a doctorate.

On average, freelancers in Germany who have used IBM Planning Analytics in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 1.8 years.

The most common languages among freelancers in Germany who have used IBM Planning Analytics in their recent projects are German (97%), English (93%), and Spanish (20%).

The most common industries among freelancers in Germany who have used IBM Planning Analytics in their recent projects are Information Technology (80%), Manufacturing (70%), and Professional Services (70%).

The most common business areas among freelancers in Germany who have used IBM Planning Analytics in their recent projects are Business Intelligence (93%), Information Technology (87%), and Project Management (87%).

Main locations of FRATCH Experts, who have recently used IBM Planning Analytics

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.

Countries:

Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

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