
Power Query Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used Power Query
Helmut G.
Last position:
(Interim) CFO at Eutecma
Asset of GPP (Private Equity)
- B2B, Provider of cooled packaging solutions for the pharmaceutical industry
- €20m in revenue, 50 employees, 2 locations
Responsibilities:
- Responsibility for all commercial and financial activities
- Establishment of a finance and reporting structure
- Carve-Out / Post-closing transition management
Achievements:
- Preparation of investor reporting package (sales, financials, cash) using Power BI
- Development of a sales funnel
- Business process redesigns and implementation of regular business reviews
Felix T.
Last position:
Data Engineering and Power BI at Wesernetz Bremen
Independently built a data platform with cross-system process monitoring.
- Designed the Bronze/Silver/Gold architecture and Python-based pipelines for diverse operational sources.
- Cleaned, harmonized, and validated data; processed and stored it in Parquet format.
- Tracked data history and built business-focused fact and dimension models for traceable reporting.
- Automated data delivery with Python and Power Automate (desktop and cloud); used SharePoint for archiving and data access.
- Developed the Power BI solution from data preparation through to visualizing process statuses, work progress, and deviations.
Technologies: Python, SQL, Parquet, Power BI, Power Query, Power Automate, SharePoint, Copilot
Torsten F.
Last position:
Data Analyst, Requirements Manager at Isabellenhütte Heusler GmbH
Analysis of the existing reporting platform, including processes and governance topics, with stakeholders from Sales and Marketing.
Detailed analysis and evaluation of customer-defined requirements for existing reporting and new dashboards to be established.
Support for stakeholders in managing sales processes and identifying KPI trends at an early stage.
Use of Microsoft Power BI as the central analysis and reporting platform.
Development of a proposal for the required further development of processes and the Power BI platform.
Documentation of AS-IS business processes and derivation of company-wide KPIs, including coordination with stakeholders.
Analysis and assessment of the customer's Power BI platform.
Analysis of processes and data governance.
Documentation of AS-IS business processes.
Development of recommendations for further developing processes and the reporting platform.
Design and implementation of dashboards in Power BI.
Development of company-wide KPIs and coordination with stakeholders.
Microsoft Power BI.
Data analytics.
KPI definition and reporting.
Dashboard design and data visualization.
Stakeholder management and requirements management.
Justina K.
Last position:
Freelance Consultant for Change & Data Transformation at Freelance Fast Data Consulting
Project, Strategic Consulting – building the Data Strategy and Data Governance Policy for the German branch, client (private bank Julius Bär, headquarters Zurich), March 2026 – present
- Design and negotiation of the data strategy with key stakeholders, including obtaining board sign-off (strategic consulting) – in this context, regulatory advice on data regulations in the EU and specifically for Germany. The data strategy includes: Data Lifecycle Management: data capture, data storage, data usage, data retention policy, data quality incident management
- Definition of milestones and technical feasibility for implementing TOM for the data strategy, data quality checks, metrics, and a metadata inventory to ensure the bank’s compliance with DORA, BCBS239, and MaRisk requirements.
Core project data change, client: (ING Bank, Frankfurt am Main), March – December 2025
- Concept development and solution design for new end-to-end processes including technical interfaces
- Definition of synchronization logic and data flows between legacy and target systems (decommissioning of legacy systems)
- Analysis and validation of data models
- Stakeholder communication with product owners, feature engineers, UX designers, and operational teams for decision-making
- Analytics and impact assessments, e.g. to assess downstream effects and regulatory requirements
- Documentation and comments on technical and business requirements to support implementation in agile squads
Project digitalization of a user group, client: (ING Bank, Frankfurt am Main), as Interim Product Owner, Jan 2025 – present
- Co-shaping key decisions on data architecture and process logic in the context of historized data and user login functionality
- Development of business solution concepts for migration to the target system, including system integration and data flows
- Support with analytics and impact analyses, especially regarding the ability to provide information to law enforcement authorities
- Active coordination with stakeholders from different squads to support decision-making and ensure regulatory requirements are met
- Creation of test scenarios for operational teams and backend systems in the area of API management using Postman and Bruno.
Andreas F.
Last position:
CRM Consultant, BI Expert, Project Manager, Coach at start-up / dermatology and wellness products
- Analyze business situation: stagnation of sales, small recurring customer rate, huge number of visitors but little conversion rate, average order value does not increase, no customer segmentation or targeting, performance marketing approach fails to acquire the right customer
- Advise on sales and marketing strategies and improve operations; agile coach advice with key business strategy using Scrum and Kanban
- Acquire key requirements and derive user stories for e-shop product owner development and customer data analysis
- Develop comprehensive 360 degree customer data model using Shopify and Amazon; implement data feeds from more than 10 systems (Klaviyo, Typeform)
- Develop meaningful ad-hoc data analysis detailing aspects of Triple Whale customer behavior using standard e-commerce KPIs such as AOV, Google Analytics, churn, conversion and abandoned checkout rates, ROAS, CPA, CPC; tools: SQL, Power Query
- Derive clear and data-driven customer segmentation and targeting; ETL processes and Power BI
- Introduce and feed new content agency with customer insights using GraphQL and Postman; improve messages, frequency, and targeted audience; Microsoft Planner
- Provide crystal clear data proof to steer new performance marketing approach
- Develop standard business operations reporting
Jana C.
Last position:
Freelance Business Intelligence Consultant at Superprof Germany & Upwork
- Design an interactive Tableau dashboard to analyze historical aviation accidents using data from the Federal Bureau of Aircraft Accident Investigation
- Develop visualizations to provide actionable insights to improve aviation safety measures employing data modeling and transformation techniques
- Develop a Power BI dashboard to monitor sales KPIs and product performance integrating data from multiple sources
- Design a star schema data model and implement advanced DAX measures for high-performance and dynamic reporting
- Design a comprehensive BI architecture solution focusing on ETL pipelines, data integration, and data governance
- Recommend Power BI as the central tool and create a security-compliant implementation roadmap
Benedikt R.
Last position:
Power BI developer at Mechanical Engineering (SME 500 emp.)
- KPI dashboards for inventory and goods received quality control & testing ETL, dataset, dataflows and report development, complex DAX solutions
Data sources: Dataverse, RDB, Excel
Tools: ETL, data modeling, data flows, Power Query, M, Power BI, complex DAX
- Capacity: 25%
Petru K.
Last position:
Architect & Technical Team Lead & Senior Developer at Goetel GmbH
- Design, architecture & development/programming of ETL/ELT data pipelines, DWH, BI solution
- Technical project lead, POC – proof-of-concept creation
- Liaison between business units and technical teams
- Azure DevOps Boards & Jira
- Data modeling & data engineering – data warehouse & data mart
- Azure (Data Factory, Azure SQL, Azure DevOps CI/CD, Azure Data Lake V2, Business Central REST API, OData API, OAuth2 tokens)
- SharePoint lists & API for ADF, Firebird DB, Postgres DB, DB2
- Power BI (Power Query), DAX, Excel PBI add-on, GIS data
- Automated ETL process monitoring/logging, performance monitoring, error monitoring – capturing & resolution
- Index performance tuning & statistics monitoring, Transact-SQL
- Data security – MFA (multi-factor authentication) & OAuth2, MS Graph, Azure networks & firewalls, gateways, roles, user groups – with read/write permissions
- Sources – Vario Bill, Camunda, Radius, Geo Database, OTRS, PAST, MS Dynamics Business Central, Azure Blob Data Lake, SharePoint lists
Discover over 15,000 top freelancers
Statistics of experts using Power Query
Aggregated from the professional profiles of matched freelancers.
Experience
24 years (Germany: 16 years)

Position duration
1.6 years (Germany: 3 years)

Positions per freelancer
16 (Germany: 10)

Top business areas
Business Intelligence, Information Technology, Project Management

Top industries
Information Technology, Professional Services, Energy

Certification focus areas
Business Intelligence, Information Technology, Accounting
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
50% (Germany: 76%)

Certifications per freelancer
2 (Germany: 3)

Most common languages
German, English, French

Speak two or more languages
100% (Germany: 96%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Frankfurt are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Frankfurt using Power Query
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Power Query 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 (88%)
- Professional Services (75%)
- Energy (50%)
- Transportation (50%)
- Retail (50%)
- Banking and Finance (38%)
- Food and Beverage (38%)
- Insurance (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Data transformation
Power Query is Microsoft’s data preparation and transformation technology. It connects to files, databases, web services and business applications, then applies repeatable steps such as filtering, joining, grouping, pivoting and type conversion. The result is structured data ready for analysis in Power BI, Excel and other Microsoft tools.
Core ecosystem
Experts work across the Power Query interface and its M language. Their projects may involve Power BI Desktop, Excel, Power BI Service, SQL Server, SharePoint, Azure data services and gateway configuration. Strong specialists understand query folding, refresh behavior, credentials, parameters and reusable functions rather than relying only on manual interface steps.
- Connect varied source systems
- Build maintainable M transformations
- Configure refresh and gateway requirements
- Prepare models for Power BI or Excel
Typical projects
Companies use Power Query to replace fragile spreadsheet routines and standardize recurring data preparation. It supports sales reporting, finance close processes, supply chain analysis, operational dashboards and customer reporting. A specialist can combine monthly files, reconcile inconsistent fields, and create a controlled flow from source data to reporting model.
- Consolidate workbooks and CSV files
- Clean and harmonize master data
- Combine database and API sources
- Automate recurring reporting inputs
When to bring in expertise
Freelance expertise helps when refreshes fail, transformations become difficult to maintain, or several teams prepare the same data differently. It is also useful during a Power BI migration, a reporting redesign, a source-system change or an Excel process review. Frankfurt companies can choose on-site collaboration for workshops and remote delivery for build and documentation work, depending on access and security needs.
Practical skills
Good professionals clarify business definitions before writing transformations. They profile source data, preserve data types, handle nulls and exceptions, and separate reusable logic from report-specific steps. They also document dependencies, test refresh scenarios and explain the result to analysts who will maintain it after handover.
- Translate reporting rules into clear transformations
- Diagnose slow or broken refreshes
- Protect sensitive source data
- Document queries, parameters and dependencies
Choosing a specialist
Review examples that show more than a polished dashboard. Ask how the specialist handled changing schemas, duplicate records, query folding limits and scheduled refreshes. A strong portfolio should demonstrate readable M code, sensible source design, clear validation checks and a handover that another professional can operate. Experience with German and English stakeholder communication can also matter for Frankfurt-based teams.
Frequently asked questions
Quick answers to the questions that come up most around Power Query.
Power Query is used to connect, clean and reshape data before analysis. Companies use it in Power BI and Excel to combine files, query databases, standardize fields and create repeatable refresh processes.
Power Query offers a visual workflow and the M language, which makes many transformations accessible to reporting teams. SQL can be more efficient for database-side processing, while Python is better suited to advanced scripting and statistical work; the right choice depends on source systems, scale and maintenance needs.
A strong Power Query professional often understands Power BI data modeling, Excel, SQL, DAX, APIs and data quality practices. Knowledge of gateways, permissions and scheduled refresh is valuable when the work must run reliably after delivery.
The required experience depends on source complexity and the consequences of incorrect reporting. A simple workbook consolidation may need focused transformation skills, while a multi-source Power BI environment calls for proven knowledge of M, query folding, refresh dependencies and testing.
Yes. Power Query work is often suitable for remote collaboration when the specialist can access approved sources and documentation. On-site workshops in Frankfurt can still help with requirements, stakeholder alignment and secure handover, especially when several teams own the data.
Power Query is usually preferable when the same cleaning and combining steps must be repeated. It records transformations as a refreshable process, reducing copy-and-paste work and making changes easier to review than manual spreadsheet operations.
Ask to see how the professional handles missing values, changed columns, duplicate records and failed refreshes. High-quality Power Query work uses clear query names, appropriate data types, reusable logic, documented assumptions and validation against trusted results.
A Power Query assignment often involves more than writing transformations. Freelancers need to clarify definitions, respect access controls, communicate with data owners and leave behind documentation so analysts can maintain queries, refreshes and dependencies without hidden manual steps.
The average hourly rate of freelancers in Frankfurt, Germany who have used Power Query in their recent projects is 98 €, which corresponds to a daily rate of about 786 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Power Query in their recent projects, 100% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Frankfurt, Germany who have used Power Query in their recent projects have 24 years of professional experience, with a single engagement typically lasting around 1.6 years.
The most common languages among freelancers in Frankfurt, Germany who have used Power Query in their recent projects are German (100%), English (100%), and French (38%).
The most common industries among freelancers in Frankfurt, Germany who have used Power Query in their recent projects are Information Technology (88%), Professional Services (75%), and Energy (50%).
The most common business areas among freelancers in Frankfurt, Germany who have used Power Query in their recent projects are Business Intelligence (100%), Information Technology (100%), and Project Management (75%).
Main locations of FRATCH Experts, who have recently used Power Query
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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