Power Query Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used Power Query
Justina Kmiecik
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.
Torsten Feix
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 client-defined requirements for existing reporting and new dashboards.
Supporting stakeholders in managing sales processes and early detection of KPI trends.
Use of Microsoft Power BI as central analysis and reporting platform.
Developing a proposal for the necessary evolution of processes and the Power BI platform.
Gathering current business processes and defining company-wide KPIs in coordination with stakeholders.
Analysis and inventory of the client's Power BI platform.
Analysis of processes and data governance.
Recording and documenting current business processes.
Developing recommendations for process and reporting platform improvements.
Designing and implementing dashboards in Power BI.
Defining company-wide KPIs and aligning them with stakeholders.
Microsoft Power BI.
Data analytics.
KPI definition and reporting.
Dashboard design and data visualization.
Stakeholder management and requirements management.
Andreas Flegel
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
Benedikt Ruske
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%
Jana Chalak
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
Petru Kisalita
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
23 years (Germany: 15 years)
Position duration
1.5 years (Germany: 3 years)
Positions per freelancer
17 (Germany: 10)
Top business areas
Business Intelligence, Information Technology, Project Management
Top industries
Information Technology, Transportation, Professional Services
Certification focus areas
Business Intelligence, Information Technology, Accounting
Bachelor's degree or higher
100% (Germany: 94%)
Master's degree or higher
50% (Germany: 74%)
Certifications per freelancer
3 (Germany: 2)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 95%)
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Frankfurt 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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Data prep
Power Query is the data preparation layer used in Excel, Power BI, and other Microsoft tools. It is built to connect to files, databases, APIs, and cloud sources, then shape raw data into tables that are ready for analysis. Companies use it for repeatable import flows instead of manual copy and paste.
Common work
- Clean and filter source data
- Merge and append tables
- Change types and handle errors
- Build refreshable data import steps
- Create M queries for more complex logic
It is especially useful when the same transformation has to run again and again without breaking.
Skills that matter
Strong Power Query specialists understand the M language, query folding, and how refresh behaves across different sources. They also know Excel tables, Power BI data models, and how to keep steps simple enough for others to maintain. Good work is readable, stable, and easy to extend.
When to bring help
Many companies bring in freelance expertise when reports become slow, messy, or inconsistent. That often happens after a lot of manual spreadsheet work, or when data comes from several systems that do not line up. In Frankfurt, this is common in finance, logistics, consulting, and shared service teams that rely on clean reporting.
Ecosystem fit
Power Query usually sits next to Excel, Power BI, SQL sources, SharePoint, CSV exports, and web data. It can support monthly reporting, operational dashboards, and data staging before modeling. A strong specialist knows how to choose the right source, reduce refresh issues, and keep transformations close to the data where possible.
What good looks like
A strong professional makes transformations clear and durable. Look for someone who documents steps well, avoids unnecessary complexity, and can explain why a query folds or does not fold. For teams in Frankfurt, good remote communication matters too, especially when business users and data owners need to review the logic together.
Frequently asked questions
Quick answers to the questions that come up most around Power Query.
Power Query is used to connect to data sources, clean the data, and turn it into a format that can be refreshed and reused. Teams use it for Excel reporting, Power BI preparation, and routine data shaping that would otherwise be done by hand. It is a good fit when the same transformation has to run again and again.
Power Query is the transformation layer, while Excel and Power BI are the tools that use it. In Excel, the feature is often called Get & Transform, and in Power BI it is part of the data import process. People searching for Power Query often mean the same M-based query editor across these Microsoft tools.
A strong Power Query specialist should be able to build clean import steps, combine sources, manage data types, and write or edit M when needed. They should also understand refresh behavior, error handling, and query folding. If the work touches Power BI, they should know how preparation choices affect the data model.
A project usually needs Power Query help when spreadsheets have grown too manual, refreshes fail, or multiple data sources must be aligned. It also helps when business users need a query set that others can maintain without deep technical support. External experts are often brought in to stabilize existing reporting rather than start from scratch.
Power Query is often faster to use for business reporting because the steps are visual and tied to Excel or Power BI. SQL is usually better when the transformation belongs in the database, and Python is better for broader automation or advanced logic. Many teams use Power Query for preparation and keep SQL or Python for heavier processing.
The most useful skills alongside Power Query are Excel, Power BI, SQL, and a solid understanding of data sources such as CSV, SharePoint, and relational databases. Knowledge of data modeling helps too, because poor preparation can make later analysis harder. For larger setups, familiarity with refresh schedules and source permissions is important.
Yes, Power Query work often fits remote collaboration well because queries, source steps, and sample files can be reviewed in shared sessions. In Frankfurt, teams often work across business, finance, and analytics functions, so clear documentation and German or English communication may matter. On-site workshops can help at the start, but ongoing work is usually easy to handle remotely.
Look for someone who builds Power Query steps that are easy to read, refresh reliably, and do not rely on fragile manual edits. Good specialists explain trade-offs, keep the M code tidy, and can show how they tested edge cases and bad source data. Ask for examples where they improved an existing query set, not just new ones.
The average hourly rate of freelancers in Frankfurt, Germany who have used Power Query in their recent projects is 96 €, which corresponds to a daily rate of about 770 € 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 23 years of professional experience, with a single engagement typically lasting around 1.5 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 (50%).
The most common industries among freelancers in Frankfurt, Germany who have used Power Query in their recent projects are Information Technology (83%), Transportation (67%), and Professional Services (67%).
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 (83%).
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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Hamburg 
Munich 
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Philipp Thomaschewski
FRATCH CEO
