Power Query Experts in Munich
for clean, connected data with fast AI matchingHire experts who transform complex sources, build reliable M queries and connect Excel, Power BI or Fabric workflows. FRATCH matches you quickly and precisely with vetted, available freelancers suited to your project.
Meet FRATCH Experts in Munich, who have recently used Power Query
Deepa K.
Last position:
Data Analyst – BI Lead Engineer at Novartis
- Leading enterprise BI transformation across Power BI & Microsoft Fabric, delivering scalable data models, automated reporting, and high-performance analytics solutions for commercial and operational leadership.
- Building and optimizing Power BI Dataflows, Fabric Lakehouse datasets, semantic models, and automated reporting pipelines to improve data scalability, governance, and reporting performance.
- Driving dashboard modernization and KPI governance by translating complex business requirements into executive-level insights, interactive visualizations, and decision-ready analytics.
- Designing end-to-end Microsoft Fabric architectures integrating data ingestion, transformation, virtualization, and enterprise reporting across cross-functional business domains with SAP BW to Qlik to Power BI migration.
- Delivering AI-enabled reporting capabilities, threshold-based alerting, and automation frameworks within the Power BI ecosystem to accelerate business decision-making.
- Partnering with commercial leadership, analytics teams, and IT stakeholders to standardize KPIs, optimize BI strategy, and deliver scalable, business-critical reporting solutions.
- Recognized for combining strong stakeholder leadership, technical architecture expertise, and business-driven analytics to deliver impactful enterprise BI transformation initiatives.
Krisztina T.
Last position:
Head of Finance and Accounting at Segula Technology Services GmbH
- Led a 16-person finance and accounting organization during a restructuring phase; strengthened closing discipline, financial control, cash transparency and accountability.
- Supported cost programs with approximately €2 Mio. in annual savings; established regular KPI reviews for P&L, working capital, POC and cash topics.
- Responsible for monthly, quarterly and annual closing under HGB/IFRS, management/group reporting, audit, tax and GoBD compliance.
- Finance automation with clear business benefits: 13-week liquidity planning, cash flow reporting, P&L versus plan, variance analysis and bank reconciliation; reduced manual work by 40–60 %.
- Improved accounts payable processes through OCR-supported invoice processing and three-way matching with exception handling.
- Sparring partner to management on restructuring, liquidity, working capital, risks and process simplification.
Ajay Kumar D.
Last position:
Senior BI and Analytics Engineer at Novartis
- Led enterprise reporting modernization by migrating legacy SSRS reporting solutions to Power BI, supporting 500+ business users while ensuring full GDPR/DSGVO compliance.
- Designed and optimized Power BI and Microsoft Fabric semantic models using star schema, dimensional modeling, advanced DAX, and performance optimization techniques, reducing query latency by 25%.
- Delivered 20+ executive and operational dashboards featuring KPI scorecards, drill-through, bookmarks, and row-level security, improving reporting efficiency by 20%.
- Enabled self-service analytics through governed Power BI datasets, dataflows, and gateway architecture, increasing business-led reporting adoption by 35%.
- Configured an incremental refresh policy and query folding for a 50+ million row sales dataset, reducing daily report refresh times by 85%.
- Deployed automated ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, and Snowflake, reducing reporting delivery timelines by 40% through workflow automation.
- Spearheaded Microsoft Fabric analytics modernization initiatives including lakehouse architecture, OneLake integration, and centralized data platform development, reducing data latency from 2 hours to 20 minutes.
- Translated business requirements from 15+ stakeholders into scalable Power BI semantic models and dashboards, improving reporting consistency and reducing ad-hoc reporting requests by 25%.
- Applied Microsoft Copilot and generative AI tools to accelerate SQL development, DAX authoring, technical documentation, and testing activities, reducing development effort by approximately 15 hours per week.
Miruna S.
Last position:
Senior Data Analyst / Analytics Engineer
- Develop data products as part of a Data Mesh / Medallion architecture on Databricks and Azure Synapse.
- Build Power BI dashboards using consolidated data from multiple source systems (sales, service, contracts, inventory data).
- Define KPIs and reporting standards in close collaboration with business stakeholders.
Xinyang M.
Last position:
Sales Operations Analyst Intern at Capgemini
- Developed and maintained 5 Power BI dashboards for pipeline tracking, forecasting, revenue-gap, quota-achievement, and deal-performance analysis.
- Delivered weekly, monthly, and quarterly reporting used by approximately 100 stakeholders across Sales, Finance, and Marketing.
- Built semantic data models and ETL workflows using Power Query, DAX, and SQL; integrated Salesforce, SharePoint, internal data warehouse, and Excel sources.
- Automated data ingestion, cleaning, transformation, format standardization, KPI calculations, dashboard refresh, and reporting preparation using Power Query, DAX, and Power BI, eliminating several hours of recurring manual data preparation and reporting work.
- Standardized KPI calculations and built interactive reports with row-level security, drill-through, and Waterfall analysis for business reviews and forecasting.
Tapasvi M.
Last position:
Data Analyst — Working Student at DENSO Automotive Deutschland GmbH
- Built and maintained Power BI dashboards (DAX, Power Query, data modeling) tracking KPIs across 15+ global manufacturing sites — primary reporting tool for EU leadership decision-making.
- Developed a multi-screen Power Apps application (configurator-style tool) with SharePoint-based workflow integration for the sales team — designed jointly with business stakeholders and IT.
- Built and maintained automated Power Automate workflows connecting to SQL databases; independently identified and deployed an LLM-driven automation use case that eliminated 90% of manual reporting effort — self-pitched to leadership and taken end-to-end into production.
- Built a Python-based data pipeline (SQL) extracting, modeling, and validating data across 10+ EU plants — establishing reliable data models and KPIs for cross-site reporting.
Marco B.
Last position:
Business Analyst | IT Project Manager at Mercedes-Benz Group AG
- Coordination of implementing IT projects, subprojects, and enhancements within DevOps
- Management of IT service providers and responsibility for the quality of IT systems while meeting strategic guidelines
- Assisting in the creation of security-relevant IT documents, including security profiles, Data@Cloud, SCA, and penetration tests
- Full project management responsibility: monitoring and ensuring adherence to resources (scope, schedule, cost, and quality)
- Defining requirement profiles for external service providers and reviewing and evaluating proposals
- Supporting the setup and management of Windows and Linux servers in collaboration with Infosys, including configuring and enabling network ports
Kerstin B.
Last position:
Reporting and analytics for HR at Apobank
- Designing and implementing an interactive evaluation system for top executives to rate core competencies such as goal orientation, team culture, and strategic alignment.
- Integrating control mechanisms to enforce feedback limits and store evaluations in a central system to ensure data integrity.
- Optimizing data processing for personnel development by automating the merging of various information sources for form letters.
- Implementing technical data preparation and analysis for the annual compensation comparison in the financial sector.
- Developing automated processes for data preparation in Excel using Power Query, ensuring data integrity and anonymization according to data protection requirements.
- Automating personnel cost analysis by developing a solution to process data from the Paisy system into an SAP-compatible Excel file.
- Creating test cases, user documentation, and test plans for all developed systems.
- Technologies: Power Query, MS Office 2016 (Word, Excel, PowerPoint), Paisy, SAP, VBA.
Gurpreet D.
Last position:
Anonymous – German building materials manufacturer
- Creation of the profit center report and statistical metrics report
- Gathering and analysis of requirements regarding the forecast for revenue and costs
- Implementation of various time series analyses and optimization of forecasts
- SAP process knowledge, SQL, Python
- Python with various libraries for time series analysis and Machine Learning
Stephan H.
Last position:
President (CEO) at Lenermia eG
- Consulting, CFO-as-a-Service, Interim Management
- Supporting companies across various industries (e.g. IDnow, Vizrt, EasyVista)
- (Financial) controlling, FP&A, process optimization, PMI
Jonas B.
Last position:
Freelance Management Consultant & Interim Manager at Jonas Bücherl Consulting (JoBuCon)
Konstantin G.
Last position:
Senior Business Analyst, Requirements Engineer, Project Manager at Perelyn GmbH
Discover over 15,000 top freelancers
Statistics of experts using Power Query
Aggregated from the professional profiles of matched freelancers.
Experience
14 years (Germany: 16 years)
Position duration
1.9 years (Germany: 3 years)
Positions per freelancer
8 (Germany: 10)
Top business areas
Business Intelligence, Information Technology, Operations
Top industries
Automotive, Information Technology, Professional Services
Certification focus areas
Business Intelligence, Information Technology, Project Management
Bachelor's degree or higher
91% (Germany: 96%)
Master's degree or higher
73% (Germany: 76%)
Doctorate
9% (Germany: 7%)
Certifications per freelancer
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 Munich 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 Munich 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.
- Automotive (58%)
- Information Technology (50%)
- Professional Services (50%)
- Banking and Finance (42%)
- Healthcare (42%)
- Manufacturing (42%)
- Media and Entertainment (42%)
- Energy (33%)
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 cleans, combines and reshapes data before analysis. Its interface supports repeatable steps instead of manual spreadsheet work, while the M language provides deeper control.
Microsoft ecosystem
Power Query is built into Excel, Power BI, Power Platform and Microsoft Fabric. Strong specialists understand how queries behave across these products and how refresh, credentials, gateways and dataflows affect delivery. They may also work with SQL Server, SharePoint, Azure services and APIs.
Typical deliverables
- Import and standardise data from spreadsheets, CSV files, databases and APIs
- Create reusable transformations for reporting and financial models
- Combine files or tables with joins, appends and parameterised queries
- Prepare Power BI datasets and Excel workbooks for dependable refreshes
- Document query logic and hand over maintainable M code
When to bring in expertise
Companies often need freelance support when manual reporting has become slow, inconsistent or difficult to audit. A specialist can replace repeated copy-and-paste routines, structure a new reporting workflow or repair queries after source systems change. In Munich, this can support finance, manufacturing, logistics, retail and professional services teams working across German and international operations.
Skills that matter
Quality work combines data modelling, source-system knowledge and careful transformation design. Look for experience with M language, query folding, error handling, privacy settings and refresh performance. Useful adjacent skills include SQL, Excel formulas, Power BI modelling, DAX, APIs and Microsoft Fabric. A strong professional explains trade-offs clearly and leaves behind readable steps.
Working with specialists
Power Query projects can usually be delivered remotely when access, documentation and review routines are clear. On-site collaboration in Munich may help when stakeholders, legacy workbooks or sensitive processes require workshops. Before engaging someone, review a comparable transformation, ask how they test refreshes and confirm who will maintain the queries after handover.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Power Query.
Power Query is used to connect to data sources, clean and reshape information, and load consistent results into tools such as Excel or Power BI. Companies use it for recurring reporting, data consolidation, migration preparation and self-service analysis.
Power Query offers a visual workflow that business teams can inspect and maintain, while SQL is often stronger for database-side processing and Python supports broader programming tasks. The right choice depends on data volume, source systems, governance and the skills available on the team.
A strong Power Query professional often also understands Excel, Power BI, SQL, DAX and data modelling. Experience with APIs, SharePoint, Microsoft Fabric, gateways and access controls is useful when queries must refresh reliably in a shared environment.
A simple Excel cleanup may need focused knowledge of Power Query and the source files. Complex work involving APIs, incremental refresh, query folding, security or multiple dataflows calls for a specialist who has handled similar production conditions and can document the result.
Yes. Power Query work is often suitable for remote collaboration when sample data, access permissions and business rules are available. On-site sessions in Munich can still help with workshops, legacy reporting processes or coordination between German-speaking stakeholders and international teams.
Bring in a Power Query specialist when recurring reports depend on manual copying, source formats keep changing or internal teams cannot stabilise refreshes. Freelancers are also useful for setting up a new reporting foundation, reviewing existing queries or transferring knowledge before an internal handover.
Ask a Power Query professional to explain the data flow, transformation choices and failure handling in plain language. Check whether the queries use clear names, reusable steps, appropriate validation and documented assumptions rather than relying on opaque fixes.
Power Query behaves within the context of its host product, so connection options, refresh limits and credential handling can differ between Excel, Power BI and Fabric. Professionals should clarify the target environment early and understand how M code, dataflows and deployment practices fit together.
The average hourly rate of freelancers in Munich, Germany who have used Power Query in their recent projects is 99 €, which corresponds to a daily rate of about 794 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Power Query in their recent projects, 91% hold at least a Bachelor's degree, 73% hold at least a Master's degree, and 9% hold a doctorate.
On average, freelancers in Munich, Germany who have used Power Query in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Munich, 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 Munich, Germany who have used Power Query in their recent projects are Automotive (58%), Information Technology (50%), and Professional Services (50%).
The most common business areas among freelancers in Munich, Germany who have used Power Query in their recent projects are Business Intelligence (83%), Information Technology (75%), and Operations (67%).
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.
Berlin 
Hamburg 
Cologne 
Frankfurt Request a free demo
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Philipp Thomaschewski
FRATCH CEO
