Find experienced Data Analysts in Berlin from over 15,000 CVs with the power of AI
Track product metrics, build dashboards in Power BI or Tableau, and turn messy data into clear decisions. From SQL deep dives to KPI reporting and ad hoc analysis, get fast, precise matching with vetted, available freelancers.
About the role
What they do
A Data Analyst turns raw data into clear answers. The work often includes SQL queries, dashboard reporting, KPI tracking, cohort analysis, and ad hoc business questions. Many companies also look for a BI analyst or reporting analyst when they need the same hands-on analysis work.
- Clean and join data from different sources
- Build reports and dashboards for teams
- Analyse funnels, retention, revenue, or operations
- Explain findings in plain language
Core skills
Strong Data Analysts combine careful logic with good business judgment. They work well in Excel, SQL, Power BI, Tableau, Looker, and often Python or R for deeper analysis. They also know how to define metrics, spot bad data, and ask the right follow-up questions.
- SQL for extracting and shaping data
- Data visualisation and dashboard design
- Metric design and KPI tracking
- Clear communication with non-technical teams
Typical projects
Companies bring in freelance Data Analysts for product launches, reporting overhauls, campaign analysis, and short-term backlogs. In Berlin, this often fits startups, scale-ups, agencies, and tech-driven teams that need support without adding permanent headcount.
Freelancers are also useful when a permanent hire would be too slow for a time-sensitive analysis need. They can step in for one team, one dataset, or one decision cycle and leave the team with a process that keeps working.
Good deliverables
A strong analyst does more than send a spreadsheet. The output should help a team decide what to do next and trust the numbers behind it.
- Dashboards and recurring reports
- Clean datasets and documented logic
- Insight summaries with recommendations
- KPI definitions and analysis notes
What sets them apart
The best Data Analysts do not just answer the question they were given. They check the data source, challenge weak assumptions, and show what matters for the business. They can work with product, marketing, finance, and operations without losing precision.
They also know when a simple chart is enough and when the problem needs deeper work. That mix of speed, rigour, and clear writing is what makes freelance support valuable.
When to hire one
Bring in a Data Analyst when reports are inconsistent, dashboards are outdated, or teams argue about the numbers. It also makes sense when you need help preparing board reporting, campaign reviews, experiment readouts, or internal metrics for a new market.
For Berlin-based teams, remote work is often enough, but on-site sessions can help when stakeholders need quick alignment or the data stack is still being defined. The best freelancers adapt to the team’s tools, pace, and level of technical depth.
Meet FRATCH Data Analysts
Anshita Srivastava
Data & Analytics Professional
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.
Douglas Norberto
Independent Data Analyst – Tech & Life Sciences
Last position:
Independent Data Analyst – Tech & Life Sciences at p53-REACT
- Supported partner centers in adopting AI and LLMs-based predictive models for small-molecule discovery and therapeutic response using their genomic databases, designing failure modes for AI, and reducing feature-engineering time by 25%.
- Performed Python analysis and improved domain motion coverage by 30% through integration of free energy data with conformational modeling, mapping heterogeneous protein states for accurate structure–function analysis.
Phil Howson
Data Analyst
Last position:
Data Analyst at Applied Analytics Projects
- Designed and implemented end-to-end data workflows (BigQuery + PowerBI), transforming raw datasets into executive dashboards used for KPI monitoring
- Queried and transformed large-scale datasets using Google BigQuery to support analytical use cases and insight generation
Katia Micello
Data Analyst - minijob
Last position:
Data Analyst - minijob at Protos Technologie GmbH
- Analyzed and interpreted data sets to support business decisions
- Assisted in the development of a LinkedIn API for enhanced data integration and analysis
- Performed data visualization
- Conducted funnel analysis
- Executed segmentation analysis
Andrea Wojtinek
Yoga & Bodywork Instructor & Hospitality & Tourism Specialist
Last position:
Yoga & Bodywork Instructor & Hospitality & Tourism Specialist at Self-Employed
- Conducted private sessions for yoga, bodywork, and meditation
- Performed lagoon yoga and massage services at Sofitel Moorea Kia Ora Spa
- Delivered sound healing and energetic counselling
- Hosted lagoon cruises; facilitated snorkeling with turtles and whales
- Provided childcare services
- Organized events and managed customer service and check-in counters
- Handled project management for community and hospitality-tourism work
Supriya Nalamothu
Data Analyst
Last position:
Data Analyst at Mabsquare Software Technologies Pvt. Ltd
- Utilized advanced data mining, statistical analysis, and modeling techniques to derive actionable insights.
- Performed exploratory data analysis to support business decision making.
- Tools & Skills: Python, Pandas, SQL, Data Visualization, EDA
Johannes Bremen
Cost Manager (Offshore Projects)
Last position:
Cost Manager (Offshore Projects) at 50Hertz Transmission GmbH
Discover over 15,000 top freelancers
Data Analysts statistics
Typical experience
13 years
Average project duration
2.8 years
Certifications per freelancer
2
Top business areas
Business Intelligence, Research and Development, Information Technology
Top industries
Information Technology, Education, Professional Services
Most common languages
German, English, French
Bachelor's degree or higher
100%
Master's degree or higher
67%
Doctorate
50%
Salary / Daily Rate Distribution
The chart shows how the daily rates of freelancers in this role 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. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Average rates for Data Analysts & Seniority distribution
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.
Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Frequently Asked Questions
Have questions? See our quick guide to FRATCH
A Data Analyst collects, cleans, and interprets data so teams can make better decisions. That can include SQL analysis, dashboard work, KPI definitions, and short written insights for stakeholders. The exact scope depends on whether the project is about product, marketing, finance, or operations.
Most clients expect solid SQL, Excel, and one visualisation tool such as Power BI, Tableau, or Looker. Many analysts also use Python or R for deeper exploration and repeatable analysis. The tool stack matters less than the ability to produce reliable, readable results.
A Data Analyst usually focuses on reporting, metrics, and business questions that need clear interpretation. A Data Scientist often works more on modelling and prediction, while a BI Analyst may be more focused on reporting layers and dashboards. In practice, the lines can blur, so the project brief should define the outcome, not just the title.
A freelance Data Analyst is a strong choice when the need is temporary, urgent, or tied to a specific project. That includes backlog cleanup, dashboard rebuilds, board reporting, or a one-off analysis before a launch. It also helps when you need expertise now and do not want a long hiring process.
Yes, most analysis work is remote-friendly because the key inputs are data access, clear scope, and regular feedback. For Berlin companies, remote collaboration works well for startups, agencies, and distributed teams. On-site meetings can still help at the start if the reporting setup is messy or stakeholders need alignment.
Ask for examples of dashboards, analyses, or reporting structures they built, and look for clear reasoning behind the numbers. A strong Data Analyst explains the data source, the method, the limits, and the action you should take. Good communication is as important as technical skill.
Start with the business question, the data sources, and the decision the team needs to make. Share access rules, reporting definitions, and any existing dashboards or spreadsheets. The clearer the brief, the faster a freelancer can produce useful analysis.
Yes, many clients bring in a BI analyst or Data Analyst for focused questions that do not justify a long internal process. That might be a funnel drop-off review, a campaign performance check, or a revenue anomaly. Short, specific tasks are often where freelance support is most effective.
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Philipp Thomaschewski
FRATCH CEO
