Power Query Experts in Berlin
matched in minutes from over 15,000 CVs with the power of AIHire experts who clean source data, build repeatable ETL flows, and shape reliable Excel and Power BI datasets with Power Query, M, and Get & Transform. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used Power Query
Nisanthan Sivarajah
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 Srivastava
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.
William Nguyen
Last position:
Senior Business Analyst/Requirements Engineer at Finanzen.Net/Finanzen.Zero
- Analysis of complex business processes and end-to-end user journeys in digital product and platform environments
- Gathering, structuring, and prioritizing business and technical requirements (Functional / Non-Functional Requirements)
- Translating business goals into actionable requirements, user stories, and acceptance criteria
- Conducting stakeholder interviews, workshops, and reviews with business teams, IT, UX, and management
- Creating and maintaining requirement artifacts (BRD, FRD, user stories, process models, decision papers)
- Ensuring consistency between business needs, technical implementation, and product vision
- Close collaboration with development teams to clarify business questions during implementation
- Support with impact analyses (A/B tests), change requests, and scope management
- Quality assurance of implemented requirements including acceptance criteria and business testing
- Advising on the further development of product strategy and roadmap structure
- Prioritizing backlog items based on business value
- Defining and sharpening product goals, KPIs, MVP definition, and other success metrics
- Evaluating new features, tools, and initiatives from a user and business perspective
- Facilitating decision-making between business, product, and technology
- Supporting go-to-market considerations and product positioning
- Sparring partner for product and stakeholder decisions at management level
- Dashboard creation, data modeling, BI report administration, and data analysis in Power BI
Lasya Marella
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.
Simon Sprock
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 Wey
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 Fuhrmann
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
Deependra Pokhrel
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 Rammo
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 Einsele
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 Salha
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: 74%)
Doctorate
9% (Germany: 7%)
Certifications per freelancer
1 (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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Data prep
Power Query is used to pull data from files, databases, APIs, and cloud sources, then shape it into tables that are ready for analysis. It is common in Excel and Power BI work where raw data needs filtering, merging, unpivoting, and refreshable logic instead of manual cleanup.
What it handles
- Importing CSV, Excel, SQL, and web data
- Cleaning blanks, duplicates, and bad formats
- Combining tables with joins and appends
- Creating reusable steps for refresh
- Loading outputs for reporting and dashboards
Skills around it
Strong Power Query professionals know the editor, query dependencies, parameters, and the M language behind each step. They also understand source connectivity, data types, folding, and how to keep transformations stable when source systems change.
When to bring help
Companies often bring in freelance specialists when reports break, refreshes fail, or spreadsheet work has grown into messy manual routines. In Berlin, this often comes up in finance, operations, analytics, and reporting teams that need clean data without rebuilding every workbook from scratch.
Good project fit
A good Power Query expert can standardize messy exports, build monthly reporting pipelines, and prepare data for Power BI models. They also help with migration from legacy Excel cleanup logic or older Get & Transform setups to a maintainable flow.
What strong experts do
- Ask where the data comes from and how it changes
- Keep steps readable and easy to maintain
- Reduce manual edits and brittle formulas
- Test refresh behavior before handover
- Document queries so others can support them
Frequently asked questions
Quick answers to the questions that come up most around Power Query.
Power Query is used to turn messy source data into clean tables that can be refreshed and reused. Teams rely on it for file imports, database pulls, joins, filters, unpivoting, and other repeatable preparation work before analysis in Excel or Power BI.
Power Query is the transformation layer, not the reporting tool itself. It is built into Excel and Power BI, so people often meet it there first, but the logic focuses on connecting, shaping, and loading data rather than building charts or dashboards.
Power Query is better when the same cleanup has to happen again and again. VBA can automate more general tasks, but Power Query is usually clearer for data shaping, easier to refresh, and less fragile than hand-editing spreadsheets.
A strong Power Query specialist usually knows data modeling basics, SQL, Excel, and Power BI. M language knowledge matters too, especially when transformations need parameters, custom logic, or support for changing source structures.
The right level depends on the source data and how stable the process is. Simple file cleanup may need only a focused Power Query specialist, while multi-source reporting, refresh failures, and complex transformation logic call for someone who has handled more demanding setups.
Yes. Power Query work is often remote because the main tasks are reviewing sources, building queries, testing refreshes, and documenting logic. A Berlin team may still want on-site sessions for workshops, source-system access discussions, or handover with local reporting teams.
A good Power Query expert writes steps that are easy to read, avoids unnecessary complexity, and explains refresh risks clearly. Look for stable query design, careful handling of nulls and data types, and a clean handover that others can maintain.
Power Query is often referred to as Microsoft Power Query or, in older Excel contexts, Get & Transform. Search terms vary, but they usually point to the same core workflow: connecting to sources, shaping data, and preparing it for analysis.
The average hourly rate of freelancers in Berlin, Germany who have used Power Query in their recent projects is 96 €, which corresponds to a daily rate of about 768 € 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
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Philipp Thomaschewski
FRATCH CEO
