
Looker Experts in Germany
for trusted analytics, matched in minutes with vetted freelance specialistsHire experts who model business data, build governed dashboards and connect Looker to modern cloud warehouses. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your technical and delivery needs.
Meet FRATCH Experts in Germany, who have recently used Looker
Matthias S.
Last position:
Technology Lead & Co-Founder at LegalMind GmbH
- Redesign of legal operations: standardised workflows reducing routine effort by up to 80%, with source citation, hallucination check as quality gate, role model, logging and audit trail.
- Compliance-by-design operating model (EU AI Act readiness, GDPR, eIDAS) with documented, releasable process steps.
- Roadmap, sprint planning and release management for an agentic RAG platform with counsel-in-the-loop approval, audit trail and German hosting.
- EU AI Act readiness, GDPR and eIDAS requirements managed as first-class project deliverables; go-to-market for two customer verticals.
Ebru A.
Last position:
Product Analytics & App Tracking Consultant at EnBW mobility+ AG & Co. KG
- Product Analytics, Mobile App Tracking & Tracking Governance (B2C Mobility App) – agile project management (Scrum/Kanban)
- Product Ownership for Product Analytics and Mobile App Tracking of the EnBW mobility+ app; gathering, prioritizing, and translating business requirements into actionable concepts and Azure DevOps user stories with acceptance criteria.
- Derivation of tracking requirements when introducing new app features (including Resilient Map), definition of tracking parameters (screens, events, custom definitions), and ensuring privacy-compliant tracking (Firebase, GA4, Adjust) based on the tracking concept.
- Design and adaptation of dashboards and funnel reporting for campaigns (GA4 validation, onboarding and order flow analyses, conversion funnels, charging start flow) to identify drop-off points and optimization potential.
- Management of the technical raw data export (Adjust to BigQuery) and connection to the data warehouse/data lakehouse, including data mapping; collaboration with international development teams, Data Engineering, Marketing/Sales, and Product Management.
- Establishment of standardized tracking architecture, naming conventions, and governance; analysis and expansion of tracking (new features and “blind spots”), test design, handover to testers, and quality assurance and approval before releases; documentation in Conceptboard.
Dmitry P.
Last position:
Freelance Digital Marketing Analyst at Freelance
- Marketing Strategy: Lead the end-to-end analysis and evaluation of cross-channel marketing campaigns across the entire Customer Journey. My focus is identifying optimization potential and deriving clear, actionable recommendations that drive measurable business impact.
- Data Science & AI: Advanced predictive modeling (Churn, LTV), market basket analysis, clustering, and real-time AI-powered audience discovery utilizing RAG/LLMs.
- Marketing Analytics & Measurement: End-to-end attribution analysis, Marketing Mix Modeling (MMM), audience segmentation, conversion path analysis, and A/B testing across all major platforms.
- Data Engineering & Reporting: Designing and managing robust, multi-platform data pipelines (BigQuery, GCP) for data consolidation, automated dashboard generation, and critical API integrations.
Swetha B.
Last position:
Project Management at the sandblasters GmbH
- Planning and concept development for building a new business model, including structuring and implementing business processes.
- Coordination and management of external service providers as well as interface management.
- Introduction and implementation of new digital tools and processes to optimize operational workflows.
Thomas D.
Last position:
Business Analyst / Digital Transformation Consultant at Stadtwerke Rostock
- End-to-end analysis and optimization of existing processes in campaign management, contract management and district heating construction/construction coordination
- Development of automated contract management and transformation scenarios, including software selection and integration
- Analysis of ERP, chat, RCS messaging, consent management and tracking
- Preparation of recommendations, decision proposals and presentations for the executive board
- Use of AI for process optimization
- Tools: Apple Office, Microsoft 365, Teams, Claude, ChatGPT
Michael B.
Last position:
Product Analytics Consultant - Trust & Safety at Kleinanzeigen
- Detecting fraud patterns and implementing effective anti-fraud rules while maintaining acceptable false positive rates to ensure a balance between safety and a frictionless user experience
- Supporting ideation and roll-out of new trust and safety features to the platform to block fraudulent activity and increase user awareness for fraud
- Supporting Product, Development and Customer Support with BI reports and further guidance to identify and fight fraud and policy violations
Nitin B.
Last position:
Financial Analytics Lead at Independent Consultant
Led FP&A tech transformation for a 9-figure business – from resolving legacy technical debt to leading AI-native EPM implementation
- Driving end-to-end FP&A transformation, from architecture redesign through EPM tool selection to rollout
- Ran evaluation of 12+ EPM platforms, from vendor negotiation to selection framework tied to long-term planning
- Diagnosed constraints in financial planning architecture, presented findings to the CFO, and secured executive mandate to redesign FP&A infrastructure from the ground up
Chisom N.
Last position:
Founder & Analytics Engineer
- Client — Podimo ApS (podcast & audiobook streaming): build the finance reporting layer on BigQuery + dbt + Airflow, including the core revenue-transaction fact tables used across finance reporting.
- API automation: design and build a BigQuery → Airflow → Microsoft Dynamics 365 Business Central REST-API pipeline to automate sales-invoice posting, with idempotency and master-data sync between systems.
- Delivery: sole engineer on the engagement — requirements, modelling, orchestration and stakeholder communication with the client finance team, end to end.
Marc H.
Last position:
Own AI Product Project & AI Training at Self-employed
- Built and validated SupportPiloten, an AI-powered content operations service; won the first paying pilot customer
- Tested agentic workflows with Claude Code and Codex for analysis, research, documentation, and prototyping
- Continued developing my own AI product; training in AI governance, AI compliance, and the EU AI Act (ongoing)
Christine T.
Last position:
Communications Consulting at Storytrend
Most mid-sized companies already have their numbers. What is missing is the translation: a dashboard with forty tiles does not answer a single question that is actually asked in management.
Analysis
- Evaluation of existing data with Python and SQL
- Checking data quality and methodology before making a statement
- The result is an analysis that leads toward a concrete decision
Preparation
- Reports in Power BI and Tableau
- Interactive calculators and visualizations on the web
- Presentations and specialist texts for customers, sales and the public
- Analysis and communication from one source — that
Torsten F.
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 customer-defined requirements for existing reporting and new dashboards to be established.
Support for stakeholders in managing sales processes and identifying KPI trends at an early stage.
Use of Microsoft Power BI as the central analysis and reporting platform.
Development of a proposal for the required further development of processes and the Power BI platform.
Documentation of AS-IS business processes and derivation of company-wide KPIs, including coordination with stakeholders.
Analysis and assessment of the customer's Power BI platform.
Analysis of processes and data governance.
Documentation of AS-IS business processes.
Development of recommendations for further developing processes and the reporting platform.
Design and implementation of dashboards in Power BI.
Development of company-wide KPIs and coordination with stakeholders.
Microsoft Power BI.
Data analytics.
KPI definition and reporting.
Dashboard design and data visualization.
Stakeholder management and requirements management.
Abdulla A.
Last position:
Principal AI Product Consultant at Recare
- Shipped Recare Voice Desktop from 0 to 1 in two months, including multi-language clinical documentation that auto-transcribes into structured German medical notes.
- Reduced LLM inference costs by 60–70% across Docs and Extract through prompt caching architecture.
- Built the AI workbench used by PMs/engineers for prompt experimentation and the Langfuse eval stack (10k+ traces evaluated).
Yvonne S.
Last position:
AI Trainer & Consultant at Public Administration
- AI adoption project in the field of public administration
- Development of a multi-stage format for introducing AI: keynote, workshops for employees and managers, deep dives on IT and legal topics
- Coordination and content alignment with external subject-matter experts (IT + legal)
- Focus on sustainable use in everyday work instead of a one-time training session
Anshita S.
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.
Christoph P.
Last position:
Head of Marketing & Comms at Caspar Health (GOREHA GmbH)
- Led marketing and corporate communications team (8 FTE) with budget and team responsibility to 250+ clinic customers and 150K patients, managing all aspects of marketing, brand messaging and public relations
- Led development of multi-channel demand gen and partner marketing with Sales and CSM (LinkedIn, webinars, email, field marketing, medical briefings in orthopedics, neurology, long-covid, oncology), achieving +180% leads, +120% webinar signups, +35% MQL conversion
- Architected new PLG/app marketing playbook with Product and Data to streamline and leverage product launches, achieving +150% 5-star app reviews from patients and +10 NPS
- Launched ingredient branding strategy, securing two major clinic chain partnerships and patient testimonials. Led proactive PR media and KOL campaigns (+20% sentiment)
- Introduced MarTech AI for marketing automation and campaign efficiency (SFDC, ActiveCampaign, Plausible, Figma), aligned with Legal on GDPR, PDSG, ISO:27001 compliance
Discover over 15,000 top freelancers
Statistics of experts using Looker
Aggregated from the professional profiles of matched freelancers.
Experience
14 years

Position duration
2.1 years

Positions per freelancer
9

Top business areas
Marketing, Information Technology, Business Intelligence

Top industries
Information Technology, Retail, Professional Services

Certification focus areas
Information Technology, Business Intelligence, Marketing
Bachelor's degree or higher
96%
Master's degree or higher
64%
Doctorate
6%

Certifications per freelancer
2

Most common languages
English, German, Spanish

Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Discover detailed Looker rate benchmarks:
Explore rate insightsAverage rates of experts in Germany using Looker
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Looker experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (75%)
- Retail (56%)
- Professional Services (55%)
- Advertising (42%)
- Media and Entertainment (40%)
- Banking and Finance (36%)
- Healthcare (32%)
- Education (31%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Looker does
Looker is a business intelligence and data platform for exploring governed data, creating dashboards and embedding analytics into products. Its semantic modeling layer, LookML, defines metrics and relationships so teams can work from consistent business logic instead of disconnected spreadsheet calculations.
Core use cases
Companies use Looker to turn warehouse data into reusable analytics for operational and strategic decisions.
- Build executive dashboards and self-service reports
- Define revenue, retention and supply-chain metrics in LookML
- Embed analytics in customer portals and internal applications
- Schedule alerts, reports and data delivery for business teams
Ecosystem and tooling
Looker commonly connects with BigQuery, Snowflake, Databricks, Amazon Redshift and other SQL warehouses. Strong work also involves LookML projects, Git workflows, SQL, APIs, permissions, content validation and deployment through Looker’s development and production environments. Google Cloud Looker and Looker Studio may appear together, but they serve different purposes.
When companies need specialists
Freelance expertise is useful when a warehouse is ready but trusted reporting is not, or when an existing instance has become difficult to govern.
- Create a semantic model from complex source tables
- Migrate fragmented reports into governed Looker content
- Improve dashboard performance and query efficiency
- Set up access policies, documentation and release workflows
Looker in Germany
German companies in manufacturing, retail, logistics, financial services and SaaS use governed analytics to connect operational data with business planning. A Germany-based specialist can support on-site workshops and German-language stakeholder sessions, while remote collaboration works well when requirements, warehouse access and review routines are clearly defined.
What strong professionals bring
The best specialists combine data modeling with business understanding. They ask how a metric should behave across filters, time periods and user groups before writing LookML. They test joins, prevent fanout errors, document definitions and make dashboards useful for their audience. Experience with access control, embedded analytics and warehouse cost awareness is valuable when Looker becomes part of a wider data product.
Frequently asked questions
Not sure where to start with Looker? These answers cover the essentials.
Looker is used to explore warehouse data, define governed metrics and deliver dashboards, reports and embedded analytics. Companies use it to give business teams controlled self-service access without duplicating metric logic across every report.
Looker puts its semantic model and LookML layer at the center of analytics, while Tableau and Power BI often emphasize visual authoring and desktop-led workflows. The right choice depends on the warehouse architecture, governance needs, user preferences and existing skills.
A strong Looker specialist usually brings SQL, dimensional modeling and experience with cloud data warehouses such as BigQuery or Snowflake. Knowledge of Git, APIs, access controls, dbt, data quality checks and embedded analytics can also be important.
The required experience depends on the scope. A focused dashboard or model extension may need a specialist who can work within an established project, while a new semantic layer requires deeper skill in warehouse design, LookML architecture, testing and governance.
Looker supports remote delivery because models, content and review processes can be managed through shared development workflows. For German teams, remote work is effective when access permissions, documentation, meeting language and stakeholder feedback are agreed early; on-site workshops can help with complex metric definitions.
Ask for examples of governed models, dashboard design and metric documentation rather than only visual screenshots. A capable Looker freelancer should explain join behavior, filter scope, permissions, testing and how they would investigate a slow or inconsistent result.
Looker Studio is a separate reporting and visualization product, formerly known as Google Data Studio. Looker is the broader governed analytics platform with LookML, reusable semantic models and stronger controls for complex warehouse-based analytics.
A quality Looker implementation produces consistent metrics, clear model documentation, reliable permissions and dashboards that answer defined business questions. Teams should also review query performance, content ownership, validation practices and whether users can find trusted data without specialist help.
The average hourly rate of freelancers in Germany who have used Looker in their recent projects is 94 €, which corresponds to a daily rate of about 750 € based on an 8-hour working day.
Of the freelancers in Germany who have used Looker in their recent projects, 96% hold at least a Bachelor's degree, 64% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Germany who have used Looker in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Germany who have used Looker in their recent projects are English (99%), German (99%), and Spanish (22%).
The most common industries among freelancers in Germany who have used Looker in their recent projects are Information Technology (75%), Retail (56%), and Professional Services (55%).
The most common business areas among freelancers in Germany who have used Looker in their recent projects are Marketing (76%), Information Technology (75%), and Business Intelligence (72%).
Main locations of FRATCH Experts, who have recently used Looker
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.
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!

Berlin
Hamburg
Munich
Cologne
Frankfurt