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Find the perfect Data Analysts in Frankfurt in minutes from 15,000 CVs with the power of AI

Cover dashboard reporting, SQL analysis, Excel models, BI tools like Power BI or Tableau, and ad hoc deep dives for finance, logistics, and marketing teams. Get fast, precise matching with vetted, available freelancers.

About the role

What they do

Data Analysts turn raw business data into clear answers. They clean datasets, build reports, track KPIs, and explain what changed and why. In freelance work, they often step in for reporting backlogs, new dashboard builds, campaign analysis, or short-term support during system changes.

Typical deliverables

  • SQL queries and data extracts
  • Power BI, Tableau, or Looker dashboards
  • Excel models and recurring reports
  • Funnel, cohort, and trend analysis
  • Data quality checks and documentation
  • Clear findings for management or teams

Core skills

A strong Data Analyst combines business sense with solid data handling. They should be comfortable with SQL, Excel, and at least one BI tool. Many also work with Python, dbt, Google Analytics, CRM data, or ERP exports. Good analysts do more than build charts. They frame the question, check the data, spot gaps, and turn results into actions.

When companies bring one in

Freelance support makes sense when internal teams are busy, a reporting project needs a fresh pair of hands, or specialist know-how is needed fast. In Frankfurt, this often comes up in finance, banking, logistics, consulting, and SaaS teams that need reliable analysis but do not want to hire permanently for a limited scope. Remote work is common, but on-site sessions can help when data sources, stakeholders, or processes are complex.

What strong analysts look like

  • They ask sharp questions before building reports
  • They verify source data instead of trusting it blindly
  • They explain insights in plain language
  • They can work with messy, incomplete data
  • They connect analysis to a business decision
  • They document logic so others can reuse it

How they fit with other roles

A Data Analyst focuses on understanding performance and communicating insights. That is different from a data engineer, who builds pipelines, or a data scientist, who works more heavily with models and prediction. Some companies also call this role BI analyst, reporting analyst, or business analyst when the work is centered on analysis and dashboards rather than process design.

Meet FRATCH Data Analysts

Torsten Feix

Torsten Feix

Data Analyst, Requirements Manager

Dreieich

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.

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Benedikt Ruske

Benedikt Ruske

Experienced Data & Business Analyst with a focus on Power BI and Business Intelligence

Bad Homburg vor der Höhe

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%
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Judith Beyrle

Judith Beyrle

Power BI / Tableau / SQL / GA4 Data Analyst & BI Developer

Frankfurt am Main

Last position:

BI & Analytics Consulting

  • Analysis of web and campaign performance to derive actionable insights for marketing and growth optimization
  • Implementation and maintenance of tag management solutions to ensure reliable and consistent data collection
  • Continuous development and optimization of reporting structures with a focus on scalability and data quality
  • Conducting regular deep-dive analyses and leading monthly stakeholder sessions to present findings and align on optimization measures
  • Designing and managing end-to-end data flows from data collection to visualization
  • Tools: GA4, Google Tag Manager, Looker Studio, Airbyte, BigQuery
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Eric Bouendeu

Eric Bouendeu

Quality Manager / Test Manager / Senior Test Analyst / Senior Data Analyst / Statistical Programmer

Kelkheim (Taunus)

Last position:

Quality Assurance Lead (QSV) at Federal Employment Agency

  • Supported the International Web Presence project of the Federal Employment Agency (IntWeb) in quality management, taking on responsibility for the quality of processes and project deliverables while adhering to BA standards. The project's main goals are to give professionals abroad a quick overview of their chances to move to Germany and to enable them to take the necessary steps in a consistently digital way.

  • Set the fundamental guidelines using the QA handbook

  • Summarized test results in QA reports for PLA

  • Analyzed project outcomes for improvement opportunities

  • Quality management of requirements analysis (especially processes, methods and tools)

  • Ensured compliance with SERA guidelines

  • Created a cross-project test concept

  • Agreed on sprint completion reports

  • Conducted formal reviews of deliverables according to guidelines and/or project plan

  • Acted as contact person for internal audit and external audits by auditors or the Federal Audit Office (BRH)

  • Technologies: JIRA, Confluence, MS Office, GitLab, Kubernetes

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Yevgeniy Österle

Yevgeniy Österle

Business & Data Analyst

Bad Vilbel

Last position:

Tester, Test & Data Analyst at NORD/LB

  • Analyze system requirements and mapping concepts (ETL requirements) for data flows and transformation logic in the bank's DWH
  • Analyze data in DB tables and views of the DWH using SQL (DB2)
  • Independently define, create, and execute test cases in JIRA Xray (SIT)
  • Write SQL queries in DB2 to verify data scenarios and mappings
  • Create test plans for SAP FSDP and concurrent projects
  • Conduct error and root cause analyses in coordination with business analysts, developers, test managers, and the infrastructure team
  • Thoroughly document test results in JIRA Xray
  • Coordinate between business analysis, development, DB infrastructure, business units, and external vendors
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Karsten Courtin

Karsten Courtin

20+ years Experience || Freelance Data Analytics & Strategy Expert, Project Management, Interim Teamlead

Rüsselsheim

Last position:

Freelance Adobe Analytics Expert at David & Martin

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Discover over 15,000 top freelancers

Data Analysts statistics

Aggregated from the professional profiles of matched freelancers.

Experience

21 years

Position duration

2 years

Positions per freelancer

16

Top business areas

Business Intelligence, Information Technology, Marketing

Top industries

Insurance, Information Technology, Telecommunication

Certification focus areas

Business Intelligence, Finance, Information Technology

Bachelor's degree or higher

100%

Master's degree or higher

75%

Doctorate

25%

Certifications per freelancer

2

Most common languages

German, English, French

Speak two or more languages

100%

Daily Rate Distribution

0 2 4 6 8
<€720 €720-760 €760+

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.

800
600
400
200
Rate comparison chart
Daily rate avg. 770 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

800
600
400
200
Rate comparison chart
Median rate 780 €

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.

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Frequently Asked Questions

Looking for clear information? Everything important about FRATCH is here

A Data Analyst usually works on reporting, dashboarding, ad hoc analysis, and data checks. The role often includes SQL queries, Excel models, BI dashboards, and clear written summaries for decision-makers. In many projects, the analyst also helps define the right metrics before any report is built.

Strong SQL and Excel skills are the baseline for most Data Analyst work. BI tools such as Power BI, Tableau, or Looker are also common, along with good business understanding and clear communication. Python, dbt, and familiarity with CRM, web analytics, or ERP data can be a plus when the project is more technical.

A Data Analyst works closer to the business question and the output users need. A data engineer focuses on data pipelines, storage, and reliable delivery of data. A data scientist usually builds models, forecasts, or predictive systems, while the analyst explains what the data already shows.

A freelancer is often the better choice when the need is project-based, urgent, or tied to a temporary workload peak. That includes dashboard rollouts, reporting cleanup, migration support, or backlog reduction. It also helps when a team needs specialist BI or SQL support without adding a full-time role.

Yes, most Data Analysts can work remotely if they get secure access to the relevant data sources and a clear brief. For Frankfurt-based companies, hybrid setups are common when stakeholders want workshop sessions, data reviews, or close alignment with finance and operations teams. The best setup depends on how sensitive the data is and how often decisions need live discussion.

Ask which data sources they have worked with, which BI tools they use, and how they handle data quality issues. A good BI analyst should also explain how they validate numbers and how they document logic so others can maintain the work. If the role is called reporting analyst, check whether they can move beyond simple output and still interpret the results.

Look for clean logic, accurate numbers, and answers that connect data to a decision. A strong Data Analyst does not just deliver charts; they explain assumptions, flag gaps, and make the work reusable. Good signs are clear questions at the start, well-structured output, and a calm approach when the source data is messy.

Frankfurt companies often need a Data Analyst in finance, banking, logistics, consulting, and software teams. These environments usually depend on regular reporting, reliable KPI tracking, and fast answers for management. The role is especially useful when many stakeholders need one clear version of the numbers.

The average hourly rate for Data Analysts in Frankfurt is 96 €, which corresponds to a daily rate of about 770 € based on an 8-hour working day.

Of the freelancers working as Data Analysts in Frankfurt, 100% hold at least a Bachelor's degree, 75% hold at least a Master's degree, and 25% hold a doctorate.

On average, freelancers working as Data Analysts in Frankfurt have 21 years of professional experience, with a single engagement typically lasting around 2 years.

The most common languages among freelancers working as Data Analysts in Frankfurt are German (100%), English (100%), and French (50%).

The most common industries among freelancers working as Data Analysts in Frankfurt are Insurance (67%), Information Technology (67%), and Telecommunication (67%).

The most common business areas among freelancers working as Data Analysts in Frankfurt are Business Intelligence (100%), Information Technology (100%), and Marketing (67%).

FRATCH Data Analysts main locations

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 Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

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Philipp Thomaschewski

FRATCH CEO

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