Power Query Expert in Munich
for trusted data preparation, matched in minutes with vetted and available freelancersHire experts who connect data sources, shape reliable transformations and automate refreshable reporting workflows across Excel and Power BI. FRATCH matches you quickly and precisely with vetted, available freelancers who fit 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.
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.
Suyash S.
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 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.
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.
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
- Support of companies from 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
12 years (Germany: 15 years)
Position duration
1.7 years (Germany: 3 years)
Positions per freelancer
8 (Germany: 10)
Top business areas
Business Intelligence, Information Technology, Operations
Top industries
Automotive, Information Technology, Manufacturing
Certification focus areas
Business Intelligence, Information Technology, Project Management
Bachelor's degree or higher
100% (Germany: 94%)
Master's degree or higher
80% (Germany: 75%)
Doctorate
10% (Germany: 7%)
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 19 Sep 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 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.
- Automotive (55%)
- Information Technology (55%)
- Manufacturing (55%)
- Professional Services (55%)
- Healthcare (45%)
- Banking and Finance (36%)
- Insurance (36%)
- Media and Entertainment (36%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Power Query does
Power Query is Microsoft's data connection and transformation technology for importing, cleaning and combining information before analysis. It is built into Excel and Power BI, and is also available through Power Query Online and other Microsoft data services. Its M language records repeatable transformation logic instead of relying on manual spreadsheet steps.
Typical delivery
Power Query specialists turn inconsistent source data into dependable, refreshable datasets.
- Connect Excel workbooks, CSV files, databases, APIs and SharePoint sources
- Remove duplicates, fix data types and standardize fields
- Merge and append tables across business systems
- Prepare models for Power BI reports and Excel analysis
- Document queries and design refresh-ready workflows
Ecosystem and skills
Strong professionals understand the wider Microsoft analytics stack, not only the query editor. They work with Excel, Power BI, Power Pivot, SQL databases, SharePoint, data gateways and workspace permissions. Knowledge of M helps them create reusable functions, parameters and controlled exception handling when visual steps are not enough.
When companies need help
Companies often bring in freelance expertise when manual reporting has become fragile or source systems have changed. A specialist can replace copy-and-paste routines, diagnose refresh failures and establish a consistent transformation layer between operational data and business reporting. In Munich, this can support teams that need close collaboration on-site while keeping delivery remote where suitable.
- Reports depend on recurring manual cleanup
- Different teams use conflicting definitions or formats
- Queries fail after a source, credential or schema change
- Analysts need a maintainable handover before a reporting launch
What quality looks like
A capable Power Query professional makes every transformation understandable, testable and efficient. They preserve source data, use clear naming, limit unnecessary steps and account for privacy, credentials and refresh behavior. They also explain trade-offs between query logic, the data model and downstream DAX measures, so the solution remains useful after handover.
Project collaboration
A good engagement starts with a clear inventory of sources, desired outputs, refresh expectations and access constraints. Experts should be able to work with business owners, data teams and IT, clarify ambiguous fields and validate results against trusted records. For Munich-based projects, agree early on language, working hours, access procedures and whether workshops require on-site attendance or can happen remotely.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Power Query.
Power Query is used to connect, clean, reshape and combine data from sources such as Excel files, databases, APIs and SharePoint. Companies use it to create repeatable inputs for Power BI reports, Excel models and other analysis workflows.
Power Query centralizes repeatable data preparation in a refreshable query rather than spreading logic across cells or macros. Formulas remain useful for calculations, while VBA can control broader Excel actions; Power Query is usually better suited to structured imports and transformations.
A strong Power Query specialist often also understands Power BI, Excel, Power Pivot, DAX and SQL. Experience with data gateways, SharePoint, APIs, access permissions and source-system structures helps when a query must run reliably beyond a local workbook.
The right level depends on source complexity, refresh needs and the consequences of incorrect data. A simple workbook cleanup may need focused Power Query knowledge, while multi-source reporting requires a professional who can design M logic, validate results and manage operational dependencies.
Yes, Power Query work is often suitable for remote collaboration when data access, credentials and validation responsibilities are clearly arranged. Munich companies may still prefer on-site workshops for requirements or handover, so clarify availability, working hours and German or English communication at the start.
Ask a Power Query freelancer to explain source handling, transformation steps, error behavior, refresh credentials and documentation. Review whether the output matches trusted records, whether queries remain readable and whether another professional could maintain them without hidden manual steps.
Power Query may be a poor fit when transformations require continuous event processing, very large-scale distributed computation or complex orchestration better handled by dedicated data engineering tools. A specialist should compare source volume, refresh timing, governance and maintenance needs before recommending it.
Before using Power Query, a freelancer should confirm the source systems, expected outputs, field definitions, refresh schedule and access method. They should also identify who owns validation, how exceptions are handled and what documentation the company expects at handover.
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, 80% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers in Munich, Germany who have used Power Query in their recent projects have 12 years of professional experience, with a single engagement typically lasting around 1.7 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 French (27%).
The most common industries among freelancers in Munich, Germany who have used Power Query in their recent projects are Automotive (55%), Information Technology (55%), and Manufacturing (55%).
The most common business areas among freelancers in Munich, Germany who have used Power Query in their recent projects are Business Intelligence (91%), Information Technology (82%), and Operations (73%).
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
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
