Power Query Expert in Berlin
in minutes with vetted, available freelancers and precise AI matchingHire experts who prepare reliable data models, automate recurring transformations and connect business sources across Excel, Power BI and Microsoft Fabric. FRATCH matches you quickly and precisely with vetted, available freelancers suited to your project.
Meet FRATCH Experts in Berlin, who have recently used Power Query
William N.
Last position:
Power BI Solutions Architect/Engineer & AI Consultant at AVERDUNG GmbH
- Redesign of the company's BI infrastructure: replacement of a fragmented landscape of manually maintained Excel solutions and CSV imports with a centralized Power BI environment featuring a unified data model as the company-wide single source of truth
- Consolidation of previously isolated reporting logic into a central semantic model – eliminating redundant files, manual data transfers, and inconsistent metrics between departments
- Forecasting & planning: Design and implementation of company-wide liquidity planning in Power BI – from business logic to a fully automated, data-source-driven planning model replacing the previous manual Excel process; enables rolling forecasts and continuously up-to-date cash flow transparency for management
- Optimization of existing Power BI dashboards in terms of performance, structure, and analytical value using an AI-native approach
- Analysis and improvement of the data model, including data quality analyses, data cleansing, and consistent modeling using star schema, DAX, and Power Query
- Incident & anomaly analysis: Identification, investigation, and explanation of data anomalies, including root-cause analysis and concrete recommendations for action
- AI solution architecture: Connecting Business Central and Power BI to LangDock via MCP (Model Context Protocol) for AI-supported data usage
- Creation of a historical data layer as a basis for trend and time-series analyses
- AI-supported automation: Design and development of AI skills, agents, loops, and processes for the automated analysis and interpretation of reports
- Automated reporting workflow: Setup of scheduled, automated email distribution of AI-generated analyses and recommendations to stakeholders
- Gathering and documentation of business requirements and coordination with business departments and IT as part of requirements engineering / product owner activities
- Breaking down overall requirements into clearly defined work packages and tasks
- Definition, prioritization, and management of milestones throughout the entire project lifecycle
Tools: POWER BI, M365, Copilot Studio, MIRO, Microsoft Business Central, Microsoft Fabric, Claude AI, ChatGPT, LangDock, MS VS Code
Nisanthan S.
Last position:
Business Intelligence Consultant (freelance) at NBIC – Nisanthan BI Consulting
Advising companies on building, migrating and optimising BI and reporting landscapes (Power BI, SQL, Python, ETL)
5 client engagements in real estate and finance since 05/2025: taking over and stabilising existing reporting, automating recurring standard and management reports, building cash-flow models
Proposal and feasibility assessments for BI and reporting projects
Using AI-assisted development (Claude Code) to accelerate automation, tooling and web/app development
Custom ERP system
Problem: A client's core processes ran on scattered, siloed Excel files with no central data storage – error-prone, hard to scale and impossible to analyse end-to-end.
Approach: Captured the business processes and requirements, modelled the data and developed iteratively together with the business team.
Implementation: Built a tailored, web-based ERP system with a central database, role-based modules and automated reporting – delivered using AI-assisted development in Claude Code.
Timesheet app
Starting point: Time tracking based on an overgrown, macro-heavy Excel template – maintenance-intensive, single-user and error-prone.
Implementation: Migrated all functionality and VBA macros into a standalone web app with central data storage, multi-user support and automated reporting.
Cash-flow modelling
Starting point: The existing cash-flow model covered standing investments only; project developments were missing from steering.
Implementation: Built and extended the CF model to include project-development cash flows.
Optimisation: Reviewed and optimised existing CF models and expanded the KPI outputs for reporting and steering.
Anshita S.
Last position:
Business Intelligence Developer and Data Analyst at Deloitte Consulting
Specialize in turning complex data from diverse environments into actionable business value through compelling visual storytelling. I am an expert in generating actionable insights and presenting recommendations to business stakeholders. My technical proficiency in SQL, Python, and leading data visualization tools like Tableau and Power BI allows me to deliver a new generation of self-service tools and analytics services.
- Data Visualization & Storytelling: Created impactful data visualizations and dashboards in Tableau and Power BI, effectively communicating findings and presenting actionable recommendations to C-suite stakeholders and business leaders.
- Stakeholder Management: Built effective working relationships with key business stakeholders, data engineers, and other partners to achieve common data-driven goals and targets.
- Insights & Recommendations: Generated actionable insights from complex data analysis for funnel conversion, marketing performance, and ROI, directly influencing business performance and strategy.
- Data Collaboration & Empowerment: Worked closely with cross-functional teams to support the ongoing data needs of internal partners, helping to optimize internal data processes and workflows.
- BI & Data Expertise: Applied extensive experience in data modeling, data collection, data mining, and analysis to deliver end-to-end analytical solutions from stakeholder discovery to production.
Simon S.
Last position:
Co-Founder and CEO at Sabana Studio & Ventures GmbH
Hands-on CFO services, including but not limited to restructuring financial departments, the development, automation, and optimization of financial tools and processes, implementation of IFRS, and financial consolidation.
Interim management and advising companies in business expansion as well as strategy.
Clients such as DEKOM, HYGH, Choco, SmartPractice, Vagabund, RailWatch, Majestic Records, Impact Plus Ventures, Advocado, Quandoo, or FinCompare
Santina W.
Last position:
Business Analyst & BI Strategist - Comparison Portal at dataweys (self-employed)
- Assessment of the existing reporting landscape and strategic bundling of needs
- Migration and consolidation of reports to Metabase, connected to ClickHouse as the data foundation
- Building and maintaining data pipelines
Stack: Metabase · ClickHouse · Appsmith · Airflow
Robert F.
Last position:
Interim Director of Accounting at Foodspring
- Leading accounting team of 6 FTEs
- Training and development of employees
- Automation of accounting processes with SQL, Python and PowerQuery
- Owning year and month end close
- Taxation topics
- Audits
- Netsuite Admin and further development
Lasya M.
Last position:
Data Engineer at Carelon Global Solutions (Elevance Health)
- Designed and implemented scalable ETL/ELT pipelines using Python, SQL, dbt, AWS and Informatica to ingest data from sources such as APIs, relational databases, and flat files into Snowflake, reducing pipeline runtime by ~30%.
- Migrated high-volume datasets from on-premises Teradata to Snowflake using AWS services (S3, Glue, Step Functions, IAM), ensuring data consistency and integrity.
- Applied Kimball methodology to design star and snowflake schemas, improving query performance and reducing Snowflake compute costs.
- Implemented automated data quality checks using SQL-based dbt tests and the Great Expectations framework to detect anomalies and enforce data correctness before production loads.
- Orchestrated ETL workflows in Airflow using Python and managed code deployments via Git with CI/CD best practices to increase deployment reliability and maintain pipeline uptime.
- Built interactive Power BI dashboards and curated datasets to enable data-driven decision-making for stakeholders.
- Maintained technical documentation in Confluence for ETL workflows, and led knowledge-sharing sessions for new joiners.
Deependra P.
Last position:
Data Specialist at Cloud Factory
- As a Data Specialist, I leveraged analytical expertise to transform raw data into actionable insights, driving strategic decision-making and operational improvements. My role encompassed data interpretation, reporting automation, and cross-functional collaboration, utilizing advanced tools such as Microsoft Excel, Power BI, and Python for comprehensive data analysis.
- Implemented Python scripts to validate and reconcile large datasets, reducing manual errors and improving data reliability.
- Utilized Python (Pandas, NumPy, Matplotlib/Seaborn) to automate data cleaning, analysis, and visualization, improving efficiency and accuracy in reporting.
- Developed interactive dashboards in Power BI to present key metrics, trends, and performance indicators, facilitating real-time decision-making.
- Designed and executed automated reports using Excel (Pivot Tables, Power Query, VBA) and Power BI, ensuring data accuracy and consistency across departments.
- Data Analysis: Excel (Advanced Pivot Tables, Power Query), Power BI (DAX, Data Modeling), Python (Pandas, NumPy, Visualization Libraries)
- Automation & Reporting: Power BI Dashboards, Excel Macros (VBA), Python Scripting.
Juan R.
Last position:
Financial & Project Controller at Velero GmbH
- Project controlling including budget monitoring, forecasting, and profitability analyses
- Analyzing financial and project data and making recommendations for action
- Identifying optimization potential in controlling and business processes
- Preparing management reports and dashboards
Philipp E.
Last position:
Finance Manager at Gesellschaft im Wandel gGmbH
- Preparation of monthly and annual financial statements (HGB)
- Forecasting, budgeting and liquidity planning
- Supervision of the use of funds
- Cooperation with funding agencies, auditors, and tax advisors
Tarek S.
Last position:
Cloud Engineering at Freelancer
- Development, operation and support of BI platforms and microservice architectures
- Development of an open-source BI scheduling tool
Discover over 15,000 top freelancers
Statistics of experts using Power Query
Aggregated from the professional profiles of matched freelancers.
Experience
10 years (Germany: 15 years)
Position duration
2.1 years (Germany: 3 years)
Positions per freelancer
7 (Germany: 10)
Top business areas
Business Intelligence, Information Technology, Project Management
Top industries
Information Technology, Professional Services, Manufacturing
Certification focus areas
Information Technology, Business Intelligence, Accounting
Bachelor's degree or higher
100% (Germany: 94%)
Master's degree or higher
73% (Germany: 75%)
Doctorate
9% (Germany: 7%)
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 95%)
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Berlin 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 Berlin 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 19 Sep 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 (73%)
- Professional Services (64%)
- Manufacturing (55%)
- Banking and Finance (36%)
- Education (27%)
- Food and Beverage (27%)
- Retail (27%)
- Advertising (18%)
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 lets teams connect to files, databases, web services and business systems, then clean, reshape and combine data through a repeatable process. The same logic can support Excel workbooks, Power BI reports and other Microsoft data products.
Core capabilities
Experts use the M language and Power Query Editor to turn inconsistent source data into dependable inputs for analysis. Typical work includes:
- Connecting Excel, CSV, SQL and cloud sources
- Removing duplicates and correcting data types
- Merging, appending and filtering queries
- Creating reusable parameters and functions
- Documenting refresh and transformation logic
Microsoft ecosystem
Power Query sits across Excel, Power BI, Power BI Dataflows and Microsoft Fabric. Strong specialists understand how query steps affect semantic models, refresh behaviour, gateways and downstream reports. They may also work with SharePoint, Azure data services, SQL Server and APIs, while keeping permissions and source dependencies clear.
When expertise matters
Companies usually bring in freelance professionals when manual spreadsheet preparation has become slow, fragile or difficult to audit. Power Query expertise is useful during reporting migrations, dashboard programmes, finance automation and the consolidation of operational data. In Berlin, specialists may support local teams on-site, remotely or in a blended setup, with clear documentation for German- and English-speaking stakeholders.
Practical project work
A specialist can assess existing queries, design a transformation pattern and improve refresh reliability without disrupting reports already in use. They may also establish naming conventions, parameter handling, error checks and handover materials. Good project planning separates source issues from query issues and defines who owns credentials, gateways and ongoing maintenance.
Quality signals
Look for professionals who can explain each transformation in business terms and trace a report value back to its source. They should test edge cases, account for changing columns and distinguish Power Query logic from DAX or data-model concerns. Clear M code, predictable refreshes, sensible performance choices and a useful handover are stronger quality signals than a polished dashboard alone.
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 or reporting. It is common in Excel, Power BI, Power BI Dataflows and Microsoft Fabric, especially when information comes from several inconsistent sources.
Power Query replaces many repetitive copy, paste and formatting steps with a recorded transformation process. Unlike manual preparation, the logic can be refreshed when source data changes and reviewed as a sequence of defined steps.
Power Query prepares and transforms data before it reaches the final model or report. SQL is usually executed close to the database, while DAX is mainly used for calculations within a Power BI or Analysis Services model; strong professionals know when to assign work to each layer.
A strong Power Query specialist often understands Excel, Power BI data models, DAX, SQL and Microsoft Fabric. Familiarity with APIs, SharePoint, gateway configuration and data quality controls can also matter when sources are distributed across business systems.
Power Query work can range from cleaning a single workbook to establishing reusable dataflows for a reporting function. The right level of experience depends on source complexity, refresh requirements, governance and how many teams will maintain the result.
Power Query projects are often suitable for remote collaboration because queries, requirements and test results can be reviewed online. Berlin-based companies may still prefer on-site workshops for source discovery or stakeholder alignment, while delivery and documentation can remain remote.
Review whether Power Query steps are understandable, repeatable and resilient to normal source changes. Ask for evidence of refresh testing, error handling, performance checks and documentation, not only a finished report.
Before starting with Power Query, clarify the source systems, authentication method, expected refresh schedule and ownership of gateways or dataflows. Also confirm whether the scope includes the data model, DAX measures, report changes or only query transformations.
The average hourly rate of freelancers in Berlin, Germany who have used Power Query in their recent projects is 97 €, which corresponds to a daily rate of about 774 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Power Query in their recent projects, 100% hold at least a Bachelor's degree, 73% hold at least a Master's degree, and 9% hold a doctorate.
On average, freelancers in Berlin, Germany who have used Power Query in their recent projects have 10 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Berlin, Germany who have used Power Query in their recent projects are German (100%), English (100%), and Spanish (36%).
The most common industries among freelancers in Berlin, Germany who have used Power Query in their recent projects are Information Technology (73%), Professional Services (64%), and Manufacturing (55%).
The most common business areas among freelancers in Berlin, Germany who have used Power Query in their recent projects are Business Intelligence (91%), Information Technology (91%), and Project Management (64%).
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.
Hamburg 
Munich 
Cologne 
Frankfurt Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
