Power Query Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Power Query
Ajay Kumar Deekonda
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.
Suyash Shaha
Last position:
Data Analyst - Reporting & Analytics at SIXT SE
- Developed & maintained customer analytical reporting solutions to identify revenue trends, performance drivers, risks & optimization opportunities to ensure data driven decision making across Sales, Finance, Product, Data Engineering & Controlling.
- Defined & analyzed customer trends & performance metrics to identify root causes behind variances, anomalies & emerging risks across business domains to deliver actionable recommendations.
- Developed & owned analytical data models & reporting layers to ensure scalability, performance & analytical robustness to support executive & operational reporting across business domains.
- Planned, tracked & executed projects by ensuring adherence to timelines, data accuracy, consistency, deliverables, reliability & data quality standards through rigorous validation & reconciliation processes.
- Raised the analytical maturity by formalizing analytical workflows, documenting data processes & standard operating procedures (SOPs) & conducting training sessions to drive adoption of self-service analytics & embed a data driven culture across operational and business teams.
- Took ownership of the end-to-end lifecycle roadmap from requirement gathering, collection, transformation, developing robust business logics to data storytelling & stakeholder delivery.
- Converted complexity into structured clarity by translating requirements & business processes into analytical recommendations to ensure alignment between non-technical & technical stakeholders.
- Conducted advanced SQL based analysis of complex business datasets to uncover trends, correlations & performance improvement opportunities.
- Drove process automation & efficiency improvements by leveraging Python, SQL optimization & AI assisted tools to reduce processing time & increase reliability across analytical & operational workflows.
- Standardized KPI definitions & reporting logic to ensure consistency & trust across reporting solutions.
- Developed process monitoring dashboards & analyses to identify inefficiencies, bottlenecks & compliance deviations across end-to-end business processes to derive actionable recommendations for process improvement & automation.
Tapasvi Mishra
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 Bloch
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 Burgen
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.
Stephan Hartl
Last position:
President (CEO) at Lenermia eG
- Consulting, CFO-as-a-Service, Interim Management
- Support of companies from various industries (e.g. IDnow, Vizrt, EasyVista)
- (Financial) controlling, FP&A, process optimization, PMI
Gurpreet Dhami
Last position:
Anonym – German building materials manufacturer
- Creation of the profit center report and statistical key figures report
- Gathering and analyzing requirements regarding the forecast for revenue and costs
- Implementation of various time series analyses and optimization of predictions
- SAP process knowledge, SQL, Python
- Python with various libraries for time series analysis and machine learning
Jonas Bücherl
Last position:
Freelance Management Consultant & Interim Manager at Jonas Bücherl Consulting (JoBuCon)
Konstantin Gaertner
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: 15 years)
Position duration
1.8 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
100% (Germany: 94%)
Master's degree or higher
88% (Germany: 74%)
Doctorate
13% (Germany: 7%)
Certifications per freelancer
3 (Germany: 2)
Most common languages
German, English, Spanish
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 Munich 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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Data shaping
Power Query is the layer that turns raw files, exports, and feeds into usable tables. It is used in Excel, Power BI, and related Microsoft data workflows to clean columns, merge sources, and prepare data for reporting. Strong specialists know how to make that logic repeatable, not fragile.
Typical work
- Combine CSV, Excel, SQL, and web data
- Clean text, dates, and missing values
- Merge and append tables for reporting
- Build refreshable steps in the Power Query Editor
- Write or review M language transformations
Ecosystem fit
Power Query sits close to Excel, Power BI, and the Microsoft stack. It often connects to SharePoint, OneDrive, SQL Server, Dataverse, and other source systems that teams already use. The best professionals understand how refresh behavior, permissions, and source structure affect the final result.
When specialists help
Companies bring in freelance Power Query experts when reporting breaks, source files change often, or manual cleanup takes too long. They also help when a team needs a better data prep layer before dashboards, month-end reports, or finance work. In Munich, this is common in manufacturing, mobility, finance, and other data-heavy teams that work in English and German.
What strong experts do
A good specialist does more than click through steps. They name queries clearly, reduce duplicated logic, and keep transformations easy to maintain. They also know when to use the UI and when to edit M directly for more control.
Quality signals
- Clear query structure and readable step names
- Stable refresh after source changes
- Fewer manual fixes in Excel or Power BI
- Documented logic for later handover
- Solid grasp of joins, grouping, and type handling
Frequently asked questions
The facts hiring teams ask for most often when it comes to Power Query.
Power Query is used to import, clean, reshape, and combine data before it reaches reports or models. Teams use it in Excel and Power BI to replace manual copy-paste work with repeatable transformation steps. It is especially useful when source files arrive in different formats or change often.
Power Query handles data preparation better than worksheet formulas when the task involves multiple files, joins, or repeatable cleanup. Formulas are useful inside a sheet, but Power Query is better when you need a refreshable process. Many teams use both together.
Power Query is not the same as Power BI, but it is a core part of the Power BI data preparation flow. You can also use it in Excel, so it is often the shared skill behind both reporting environments. A freelancer who knows both tools can move faster across teams.
A strong Power Query specialist usually knows Excel, Power BI, and the M language. SQL is often important too, because many projects start with database data before it is shaped in Power Query. Good data modeling and source-system understanding also matter.
Bring in Power Query help when refreshes fail, logic has grown messy, or the team spends too much time fixing source data by hand. Freelancers are also useful for short cleanup projects, reporting rebuilds, or handover work after internal changes. They can quickly stabilize the logic and document it.
Simple Power Query tasks may only need a specialist who can clean and combine data well. Projects with many sources, complex joins, or M code usually need someone who has worked on larger reporting flows. The more business-critical the refresh process, the more important proven experience becomes.
Yes, Power Query work is often done remotely because the main tasks are inside Excel, Power BI, and shared source files. For Munich-based teams, remote collaboration works well when access, file structure, and reporting rules are clear. On-site sessions can help at the start if source data or business rules are still changing.
Look for clean query design, stable refresh behavior, and clear naming that another specialist can understand. A good Power Query freelancer explains trade-offs, avoids unnecessary complexity, and can show how the logic will survive source changes. If they can also document the steps and hand them over cleanly, that is a strong sign.
The average hourly rate of freelancers in Munich, Germany who have used Power Query in their recent projects is 100 €, which corresponds to a daily rate of about 800 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Power Query in their recent projects, 100% hold at least a Bachelor's degree, 88% hold at least a Master's degree, and 13% 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 1.8 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 (22%).
The most common industries among freelancers in Munich, Germany who have used Power Query in their recent projects are Automotive (56%), Information Technology (56%), and Professional Services (56%).
The most common business areas among freelancers in Munich, Germany who have used Power Query in their recent projects are Business Intelligence (89%), Information Technology (78%), and Operations (78%).
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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