Find the perfect Data Analysts in Germany in minutes from over 15,000 CVs with the power of AI
Support for dashboarding, KPI tracking, SQL analysis, Power BI, Tableau, and clean reporting setups. Get fast, precise matching with vetted, available freelancers who can turn raw data into decisions.
About the role
What they do
Data analysts turn raw data into clear answers. They clean datasets, check data quality, define KPIs, and build reports that help teams act faster. Typical deliverables include dashboards, recurring management reports, ad hoc analysis, and clear readouts for product, sales, finance, or operations.
Core skills
- SQL for querying and joining data across systems
- Excel or Google Sheets for fast analysis and checks
- Dashboard tools such as Power BI, Tableau, or Looker Studio
- Data modeling and KPI definitions that business teams can trust
- Clear communication so findings lead to action
Strong data analysts do more than produce charts. They ask the right questions, spot inconsistencies, and explain what the numbers mean in plain language. A good reporting analyst can also standardize recurring reporting so teams stop working from different versions of the truth.
When to bring one in
Companies usually hire a freelance data analyst when reporting is messy, a new dashboard is needed, or a team needs help with a specific project. This is common during tool changes, launch periods, audit preparation, or when internal teams are too busy to dig into the data properly.
In Germany, data analysts often support international teams, local management, and shared service functions at the same time. That makes clear English and, in some cases, German communication useful, especially when working with finance, logistics, manufacturing, or e-commerce data.
Common focus areas
- Sales and pipeline reporting
- Marketing performance analysis
- Product and user behavior analysis
- Finance, controlling, and variance analysis
- Operations and supply chain reporting
The best freelance BI analysts are precise, pragmatic, and structured. They can work with incomplete data, document assumptions, and hand over analysis that others can continue without confusion.
What good looks like
A strong data analyst delivers answers that are reproducible, easy to audit, and easy to use. They do not just build one-off reports. They create logic that holds up when data sources change, definitions shift, or new stakeholders join the project.
Look for someone who can discuss data sources, edge cases, and trade-offs without getting lost in jargon. If your team needs a reporting analyst, analytics specialist, or business analyst for data-heavy work, the real test is whether the output helps decision-makers move quickly.
Typical freelance fit
Freelancers are a strong fit when you need focused support without adding a permanent role too early. They are also useful when you need a specialist for a short project, such as a dashboard rebuild, CRM cleanup, or an analysis sprint with a fixed business question.
That flexibility matters when different teams need support at the same time. A freelance data analyst can plug into remote workflows, join workshops on site in Germany when needed, and adapt to the tools and reporting standards already in place.
Meet FRATCH Data Analysts
Laurin Hagemann
Software Architect (Freelance)
Last position:
Software Architect (Freelance) at Care4Sure
- Delivered MVP-focused full-stack architecture for a health-sector client: Vite/React frontend, backend services on Google Cloud Run, and Supabase for database plus IAM/authentication.
- Supported product requirements engineering and prioritized cost-aware workload placement, implementing browser-side/edge computation where feasible before moving logic to backend services.
Torsten Feix
Data Analyst, Requirements Manager
Last position:
Data Analyst, Requirements Manager at Isabellenhütte Heusler GmbH
Analysis of the existing reporting platform including processes and governance topics with stakeholders from sales and marketing.
Detailed analysis and evaluation of client-defined requirements for existing reporting and new dashboards.
Supporting stakeholders in managing sales processes and early detection of KPI trends.
Use of Microsoft Power BI as central analysis and reporting platform.
Developing a proposal for the necessary evolution of processes and the Power BI platform.
Gathering current business processes and defining company-wide KPIs in coordination with stakeholders.
Analysis and inventory of the client's Power BI platform.
Analysis of processes and data governance.
Recording and documenting current business processes.
Developing recommendations for process and reporting platform improvements.
Designing and implementing dashboards in Power BI.
Defining company-wide KPIs and aligning them with stakeholders.
Microsoft Power BI.
Data analytics.
KPI definition and reporting.
Dashboard design and data visualization.
Stakeholder management and requirements management.
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.
Suyash Shaha
Business Data Science Intern
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.
Bernd Steckenbauer
Business Data Analyst | PowerBI & Microsoft SQL Server
Last position:
Business Data Analyst | PowerBI & Microsoft SQL Server at think-cell Software GmbH
- Performance optimization and centralization of reporting by creating data models using SSMS (SQL) & SSAS (DAX) and integrating data via SSIS
- Optimizing and extending the current PowerBI dataset (in parallel until the SSAS data model is ready)
- Expanding current reports (migrating reporting to SSAS source after building the SSAS data model)
- Conducting regression analyses, cohort analyses, price/quantity analyses, and strategy project success analyses
- Training internal team members
Tapasvi Mishra
Data Analyst — Working Student
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.
Benedikt Ruske
Experienced Data & Business Analyst with a focus on Power BI and Business Intelligence
Last position:
Power BI developer at Mechanical Engineering (SME 500 emp.)
- KPI dashboards for inventory and goods received quality control & testing ETL, dataset, dataflows and report development, complex DAX solutions
Data sources: Dataverse, RDB, Excel
Tools: ETL, data modeling, data flows, Power Query, M, Power BI, complex DAX
- Capacity: 25%
Willi Ziegenhagel
Data Analyst
Last position:
Data Analyst
- Analysis of process data
- Data preparation with SQL
- Development of reports & dashboards in Celonis
Sara Zarei
Data Analyst / Analytics Engineer
Last position:
Data Analyst / Analytics Engineer at IDG Tech Media GmbH
- Designed, built, and maintained scalable ETL/ELT data pipelines using Python, SQL, REST APIs, AWS Lambda, S3, PostgreSQL RDS, EventBridge, CloudWatch, Docker, Apache Airflow, and BigQuery – integrating data from GA4, Google Ads, Meta Ads, CMS, CRM, newsletters, events, and B2C ordering systems into analytics-ready datasets.
- Built a cross-brand lakehouse architecture from AWS to BigQuery – transforming raw JSON/CSV data into structured, partitioned, and reusable reporting layers with staging, intermediate, canonical, and mart models.
- Designed relational and dimensional data models: 3NF staging models, star schemas, fact tables, dimension tables, daily KPI aggregates, and dashboard-optimized marts for marketing, content, subscription, event, CRM, and revenue analysis.
- Implemented production-grade data quality and pipeline reliability features: incremental loads, idempotent upserts, deduplication, schema validation, row matching, null checks, anomaly detection, freshness monitoring, logging, retries, and error alerts.
- Automated cross-brand reporting processes and data products – pipelines for 73 newsletter campaigns, 31 lead list syncs, 52 event partner reports, and a 500K-record company matching pipeline; reduced manual data preparation by approx. 70% and increased analyst productivity by approx. 30%.
Tobias Holtkamp
SAP Technology Expert / SAP BO Basis Administrator
Last position:
SAP Technology Expert / SAP BO Basis Administrator at Talanx AG/ HDI Versicherung
- Incident Management
- User management: creating, maintaining, and deactivating users as well as maintaining roles
- Updates and upgrades: planning and executing updates and upgrades
- Operations: performance analysis, daily monitoring, and applying SNotes
- Job management: creating, maintaining, and monitoring jobs
- Training of employees
- Development and extension of reports
- Development and extension of universes
- Technologies: SAP BusinessObjects (SAP BO 4.3), Oracle SQL Developer, SAP Information Design Tool, Octane
- Methods: Scrum
Nicolas Valderrama Barrera
Data Analyst & Digital Transformation Consultant
Last position:
Data Analyst & Digital Transformation Consultant at Management Solutions
- Built a Looker-based analytics application with Python preprocessing and AppScript write-back to support client outreach for 50 bankers (scaling to 200).
- Cut manual call-logging time from ~5 minutes to ~1 minute, improving operational efficiency and ensuring audit traceability.
- Delivered dashboards used daily by bankers and weekly by managers to prioritise clients, analyse rejection drivers, and evaluate performance.
- Worked in Agile cycles with stakeholders to iterate data requirements and prepare the platform for rollout to 200+ users.
Elnazossadat Hosseininia
Analytics Engineering | Data Engineering | Automation & Scalable Data Pipelines
Last position:
Data Analyst at Siemens Healthineers
- Developed KPI dashboards using Power BI and DAX for 4+ business units, improving reporting transparency and strategic decision support.
- Migrated enterprise finance data views into dbt models, implementing modular SQL transformations, version-controlled data pipelines, and automated documentation to create a scalable analytics layer.
- Built dimensional data models in Snowflake for enterprise finance data, enabling scalable forecasting and supporting executive decision-making.
- Designed end-to-end ETL/ELT pipelines using Snowflake and SAP HANA, integrating data from 3+ enterprise systems.
- Automated monthly reporting workflows using SQL and Power BI, delivering strong business impact by reducing manual effort by 80%.
- Collaborated with finance stakeholders to translate business requirements into analytical data models, supporting strategic decision-making cycles.
- Delivered ad-hoc financial reports using Power BI, reducing turnaround time by 60%.
- Implemented data validation logic in SQL, resolving 95% of recurring data quality issues.
Matthias Krause
Data Analyst/BI Expert
Last position:
Data Analyst/BI Expert at GTK Kröger Steuerberater PartGmbB
- Data management & analysis of data from leading e-commerce companies
- Requirement gathering
- Visualization (reports and dashboards) of accounting and business data
- Digitalization and automation of accounting and tax processes
- Data modelling and analysis
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
Discover over 15,000 top freelancers
Data Analysts statistics
Typical experience
13 years
Average project duration
3.5 years
Certifications per freelancer
2
Top business areas
Business Intelligence, Information Technology, Project Management
Top industries
Information Technology, Professional Services, Education
Most common languages
German, English, French
Bachelor's degree or higher
100%
Master's degree or higher
69%
Doctorate
11%
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
Want to learn more? Find helpful information about FRATCH
A Data Analyst turns raw data into reports, dashboards, and clear recommendations. The work often includes cleaning data, defining KPIs, checking consistency across sources, and answering specific business questions. Good analysts make sure the output is usable for managers, not just technically correct.
A strong Data Analyst should be comfortable with SQL, Excel, and one or more BI tools such as Power BI or Tableau. They should also know how to validate data, explain assumptions, and present findings clearly. Communication matters as much as technical skill, because the value comes from decisions the team can actually make.
In practice, the roles overlap a lot, and many companies use Data Analyst and BI Analyst almost interchangeably. A reporting analyst usually focuses more on recurring reports and dashboard maintenance, while a BI Analyst may work more on data models, metrics layers, and business intelligence systems. The exact scope depends on the team and the tools in use.
A freelance Data Analyst is a good choice when the need is project-based, urgent, or tied to a specific reporting problem. That can be a dashboard rebuild, a one-off deep dive, or short-term support during a busy phase. A freelancer also helps when you need expertise before committing to a permanent role.
Many Data Analysts can work fully remote because most tasks are done in data tools and shared workspaces. On-site time can help at the start of a project, especially for stakeholder interviews, workshop sessions, or access to local systems. In Germany, many companies use a hybrid setup and mix both formats.
Ask for concrete outputs from the Data Analyst, such as a dashboard, a recurring report, a KPI definition sheet, or an analysis summary with recommendations. It also helps to agree on data sources, naming conventions, and who owns the final numbers. That reduces confusion later and makes handover easier.
Look for answers that are reproducible, well documented, and aligned with the business question. A good Data Analyst explains where the data came from, what was excluded, and how the metric logic works. If the work is solid, another team member should be able to review or continue it without starting from scratch.
In Germany, Data Analysts are often hired by companies in manufacturing, e-commerce, logistics, finance, SaaS, and services. They support teams that rely on accurate reporting across markets, systems, or departments. Companies with a lot of operational data usually feel the need fastest.
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Philipp Thomaschewski
FRATCH CEO
