Power Query Experts in Berlin
, vetted and matched in minutesHire experts who clean, combine and transform data across Excel, Power BI and Microsoft Fabric, creating reliable refreshable workflows with M language and query governance. FRATCH matches you quickly with precise, vetted and available freelancers.
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 using a unified data model as the company-wide single source of truth
- Consolidation of previously isolated reporting logic in a central semantic model – elimination of redundant files, manual data transfers and inconsistent metrics across 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; enabling 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 specific recommendations for action
- AI Solution Architecture: Connecting Business Central and Power BI to LangDock via MCP (Model Context Protocol) for AI-supported data usage
- Development 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 delivery 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.
Özlem A.
Last position:
Adjunct Lecturer at Whitecliffe University of Applied Sciences
- Teaching Introduction to Data Science Course in MBA Programme
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.
Mahboobeh S.
Last position:
Senior Analytics Engineer at Jadoosoft
Engaged as an independent BI consultant for a FinTech SaaS platform, building and maintaining the end-to-end Microsoft Azure and Fabric analytics stack behind a multi-tenant accounting product used by business owners to track their own financial performance.
- Partnered with finance stakeholders to translate complex accounting workflows into real-time BI dashboards (P&L, Cash Flow, Balance Sheet), helping 2000+ business owners track cash flow and overall financial health effortlessly.
- Developed 10+ interactive dashboards, giving each business owner personalized, real-time visibility into their own sales performance, accounts receivable aging, and operational costs.
- Enforced strict enterprise data governance by implementing dynamic Row-Level Security (RLS) via DAX to isolate each business owner's data within the shared multi-tenant model.
- Maintained and extended an Azure ELT pipeline (Azure Data Factory, Azure SQL Database, Azure Synapse) that automated data ingestion and transformation.
- Contributed to a team-wide platform migration from Azure to Microsoft Fabric to optimize capacity licensing costs.
- Designed and implemented a Microsoft Fabric ELT pipeline (Lakehouse, Pipelines, PySpark) that automated data ingestion and transformation, replacing the prior Azure pipeline.
- Modeled cleansed data into a Star Schema within the data warehouse using T-SQL, powering the Power BI Semantic Model.
- Leveraged AI tools, including Copilot and Claude, as development partners across the entire ELT pipeline, from data ingestion to KPI reporting and visualization.
- Supported agile delivery processes, using Jira to track development tasks and Confluence to maintain technical and project documentation.
Uditha W.
Last position:
Data Science Tutor at University of Europe for Applied Sciences
- Taught Python, Pandas, data analysis, visualization and Power BI to 250+ students.
- Guided practical projects from data preparation and exploratory analysis through visualization and dashboard creation.
- Explained complex analytical concepts clearly to audiences with different levels of technical experience.
Maha E.
Last position:
Senior Sales Operations Analyst at Brimore Company
- Designed and fully automated an end-to-end reporting workflow in Google Sheets, eliminating 100% of manual reporting and data-processing effort for sales team performance tracking.
- Built dynamic dashboards to visualize sales KPIs and performance trends, significantly increasing transparency into team performance for leadership.
- Analyzed profitability and performance data for approximately 75,000 customers generating ~3M EGP in monthly revenue, supporting data-driven sales decisions.
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
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
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
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
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
Discover over 15,000 top freelancers
Statistics of experts using Power Query
Aggregated from the professional profiles of matched freelancers.
Experience
12 years (Germany: 16 years)
Position duration
2.4 years (Germany: 3 years)
Positions per freelancer
7 (Germany: 10)
Top business areas
Business Intelligence, Information Technology, Project Management
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Business Intelligence, Marketing
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
81% (Germany: 76%)
Doctorate
13% (Germany: 7%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, Spanish
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 Berlin 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 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 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 (69%)
- Banking and Finance (44%)
- Professional Services (44%)
- Education (38%)
- Manufacturing (38%)
- Food and Beverage (25%)
- Retail (25%)
- Advertising (19%)
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 sources and business systems, then cleans and reshapes data before analysis. Its visual interface generates M language steps that can be reviewed, edited and reused.
Microsoft ecosystem
Power Query is built into Excel and Power BI and also appears across Microsoft Fabric, Power Platform and other Microsoft data products. Strong specialists understand Power BI semantic models, Excel workbooks, dataflows, gateways, SharePoint, SQL sources and refresh settings. They know when to use the interface and when to write clear M code.
Common deliverables
Companies use Power Query to create repeatable data flows instead of manual spreadsheet routines.
- Combine monthly files, folders or departmental extracts
- Remove duplicates, fix types and standardise values
- Join operational data with reference tables
- Prepare datasets for Power BI reports and Excel models
- Document transformations for reliable handover
When specialists help
Freelance expertise is useful when reporting depends on inconsistent source data, fragile workbook logic or manual copy-and-paste work. Specialists can replace slow routines with governed queries and reusable dataflows. In Berlin, they often support teams across finance, operations, retail, manufacturing and professional services, working remotely or alongside local stakeholders.
Skills that matter
Effective Power Query work requires more than knowing transformation buttons. Look for professionals who can trace data lineage, profile source quality and design steps that remain stable when files or schemas change. SQL, Excel modelling, DAX, Power BI administration and API or database integration are valuable adjacent skills.
- Design readable, modular M transformations
- Handle errors, nulls, locale settings and changing schemas
- Configure refresh, credentials and gateways safely
- Test outputs against business rules
- Explain assumptions in clear documentation
Choosing the right expert
Ask for examples of queries that combine multiple sources and survive routine refreshes. A strong professional can explain why a transformation belongs in Power Query, SQL, a dataflow or the reporting model. They should also define ownership, refresh expectations and acceptance checks before changing production reports. Clear English is usually sufficient for distributed work, while German can help with local business users.
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 records, combine tables and reshape information for analysis. Companies commonly use it in Excel, Power BI, Microsoft Fabric and Power Platform workflows.
Power Query offers a visual, accessible way to prepare data and is useful when analysts work across files, APIs and databases. SQL is often better for transformations close to a database, while a good solution may use both to balance performance, control and maintainability.
A strong Power Query specialist often understands Excel modelling, Power BI, DAX, SQL and dataflows. Experience with APIs, SharePoint, gateways, data quality checks and Microsoft Fabric can also be important when sources and refresh processes are complex.
The right level depends on the data sources and the consequences of errors. A focused workbook cleanup may need a specialist who can profile data and build robust transformations, while enterprise reporting usually calls for experience with refresh, permissions, gateways and production handover.
Yes. Power Query projects are often suitable for remote collaboration when source access, documentation and review routines are arranged in advance. On-site sessions in Berlin can still help with stakeholder workshops, sensitive data processes or handover to local reporting teams.
Ask the specialist to explain the query steps, source assumptions and expected output when the input changes. Good Power Query work uses clear names, sensible data types, controlled errors, repeatable refreshes and documentation that another professional can maintain.
Power Query is a strong choice when teams need governed preparation inside the Microsoft ecosystem without building a separate application. For high-volume transformations, complex orchestration or strict real-time needs, SQL, data engineering services or dedicated integration tools may be more suitable.
A Power Query project often includes discovery, source profiling, transformation design, testing and documentation rather than only writing M steps. Freelancers should clarify access rights, refresh ownership, privacy constraints, stakeholder language expectations and how the finished queries will be supported.
The average hourly rate of freelancers in Berlin, Germany who have used Power Query in their recent projects is 90 €, which corresponds to a daily rate of about 718 € 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, 81% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Berlin, Germany who have used Power Query in their recent projects have 12 years of professional experience, with a single engagement typically lasting around 2.4 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 (25%).
The most common industries among freelancers in Berlin, Germany who have used Power Query in their recent projects are Information Technology (69%), Banking and Finance (44%), and Professional Services (44%).
The most common business areas among freelancers in Berlin, Germany who have used Power Query in their recent projects are Business Intelligence (94%), Information Technology (81%), and Project Management (56%).
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
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