Looker Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Looker
Philipp Grunert
Last position:
Data Scientist & ML Engineer at Data-Science Factory GmbH
- Building, implementing and selling automated Data Science solutions such as Scorecard Factory and Forecast Factory
- Implementation of automated end-to-end cloud processes
- Development of LLM and NLP models
- Creation of interactive reports
- Support for national and international large corporations as well as medium-sized companies in implementing ML projects
Suyash Shaha
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.
Yannik Süß
Last position:
Freelance - IT Data Project Manager at Messe München GmbH
- Integrated data from various sources into the Datawarehouse using Microsoft SQL Server, ensuring data integrity and optimizing performance
- Developed and implemented multiple data visualization solutions in PowerBI, Excel, and Looker Studio, focusing on scalability and efficiency
- Managed close stakeholder relationships, ensuring consistent communication and understanding of data needs
- Conducted thorough requirement analysis to align with business objectives
- Led cross-functional teams to deliver data-driven projects on time
Elisa Heidrich
Last position:
Senior Digital Analyst at Self-employed
- Working as a freelancer with a focus on website analysis, conversion rate optimization, and mouse-tracking tools
- Tools: Asana, Clarity, Jira, Contentsquare, Google Analytics, Hotjar, Shopify, VWO
Florian Forster
Last position:
Senior Director, Global Education Excellence at IU.org - International University Group
Led agile transformations of 170 FTEs for Germany, the UK, and Canada, boosted efficiency by +15% and employee NPS by +36 bps.
Directed a 20-member AI/SaaS team to develop GenAI solutions for video/text development, cutting costs by 75% and increasing productivity by +50% through process training and workflow optimization.
Managed a €12M P&L, achieving €1.3M annual OpEx savings via organizational and process optimization and partner collaboration.
Bengisu Yapar
Last position:
Freelance BI, AI & Digital Strategy Consultant at Various Clients
- Delivered AI-driven business and marketing strategies to global clients across various sectors.
- Supported small businesses and entrepreneurs with social media content creation, web design, UX/UI improvements, and digital marketing strategies.
- Automated analytics workflows and developed dashboards to monitor campaign performance and engagement metrics.
- Helped clients enhance their digital presence by combining creative storytelling with measurable insights.
- Advised on AI integration in marketing workflows to boost productivity and creative efficiency.
Oliver Stalmann
Last position:
Project Manager / PMO at Agicap SAS
- Owning the entire hiring funnel: defining the requirements, conducting the interview process and aligning with the talent acquisition team for hiring capacity
- Planning and monitoring resources: building an initial business plan in close coordination with the finance team and revisiting this on a monthly basis to control the achievement
- Alignment with the core team: setting up rules and processes together with the team leads of the core team in order to ensure a value driven collaboration
- Reporting to C-Level: weekly updates with CEO & COO with presentations and status reports in order to show advancements and challenges
- Creating incentive schemes: creating new incentive schemes for the different team members in order to align them with the common goal
- Coordinating ad campaign with the paid marketing team
- Coordinating webinars which highlighted new aspects of the products with the marketing team
- Coordinating specific dashboards to monitor performance with the data team
Martin Svítek
Last position:
Business Intelligence Data Analyst at webeet
- Optimized SQL data pipelines for clean insights.
- Analyzed and visualized trends with Python.
- Improved dashboards and automations.
- Worked with Google Sheets, GCP, Snowflake, dbt, Spreadsheets/Excel, Databricks, PySpark, and Fivetran.
Slavina Vasileva
Last position:
Marketing Director at Permanent Entertainment GmbH
- Full P&L responsibility for pricing strategy, sales, and marketing with a focus on growth and efficiency
- Leading and scaling a high-performance team (5 FTE): establishing clear KPI structures, data-driven decision processes, and agile sprint setups to maximize team efficiency and output
- Developing and implementing a performance marketing architecture across all channels (SEA, paid social, programmatic, SEO, CRM, PR) to maximize revenue growth
- Increased ROAS by 32%, reduced CAC by 11%, and achieved 23% revenue growth YoY through data-driven budget allocation, cross-channel campaign optimization, and conversion rate testing
- Optimized the customer journey through conversion rate tests and audience segmentation
- Successfully integrated brand and performance marketing (SEO, organic, paid media, retention) to significantly boost brand awareness and sustainably improve ROAS
Stefan Toxby
Last position:
Freelancer for Programmatic Advertising & Ad Tech Solutions at toxby consulting
- Clients: REWE Group, Matterkind, Target Video, Payback, Saint Elmo's, Cookie Labs
Discover over 15,000 top freelancers
Statistics of experts using Looker
Aggregated from the professional profiles of matched freelancers.
Experience
16 years
Position duration
2.1 years
Positions per freelancer
7
Top business areas
Business Intelligence, Marketing, Information Technology
Top industries
Information Technology, Media and Entertainment, Professional Services
Certification focus areas
Business Intelligence, Marketing, Information Technology
Bachelor's degree or higher
100%
Master's degree or higher
70%
Doctorate
20%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
About the technology
Looker in practice
Looker is used to turn warehouse data into governed dashboards, self-serve analysis, and trusted metrics. Companies use it to give business teams a clear view of sales, operations, finance, and product performance. Strong specialists know how to keep reporting consistent across every team.
Core skills
- Build and maintain LookML models
- Design explores, dimensions, measures, and persistent derived tables
- Set up dashboards, alerts, and scheduled reports
- Work with SQL, dbt, and modern cloud warehouses
The best experts understand both analytics logic and data modeling. They make sure content is easy to use, stable to maintain, and clear for non-technical stakeholders.
When to hire
Bring in freelance Looker professionals when a reporting layer is slow, messy, or hard to trust. They are also useful during warehouse migrations, KPI redesigns, or when an internal team needs help with LookML conventions and governance. In Munich, this often matters for companies working across finance, SaaS, manufacturing, and mobility data.
Looker ecosystem
Looker often sits on top of BigQuery, Snowflake, Redshift, or Databricks. Specialists may also work with dbt, Git, APIs, and BI governance patterns that support reusable analytics. Google Cloud teams often look for people who can connect business logic to the warehouse without creating duplicate metrics.
What strong specialists do
A strong Looker expert writes clean, reusable model code and documents business logic clearly. They separate metric definitions from dashboard layout, reduce brittle SQL, and help teams keep access controls and content delivery in order. They also know when to improve the model versus when to simplify the reporting request.
Collaboration style
Freelance Looker work can be remote or on-site, depending on how much workshop time the project needs. Remote work fits modeling, dashboard cleanup, and ongoing support well. On-site time helps when teams need fast discovery, stakeholder alignment, or a shared review of business definitions.
Frequently asked questions
Quick answers to the questions that come up most around Looker.
A strong Looker specialist is usually brought in to build governed reporting, clean up messy dashboards, or define metrics in LookML. They also help when a team needs better self-serve analysis on top of a warehouse such as BigQuery or Snowflake. The common goal is reliable reporting that business teams can trust.
Looker is often chosen when a company wants a semantic layer close to the data warehouse, not just visual dashboards. Compared with Tableau or Power BI, it puts more weight on modeling, reusable business logic, and controlled metric definitions. That makes it a strong fit for teams that want one source of truth.
No. Looker is the enterprise analytics and modeling product, while Looker Studio is a separate reporting tool from Google Cloud. Many searchers mix the names, so a good specialist should understand both, but the project work for each product is different.
A solid Looker freelancer usually knows SQL very well and understands how cloud warehouses structure data. dbt, Git, and data governance are also common adjacent skills. If the project touches APIs or embedded analytics, those are useful too.
Simple dashboard updates may only need a specialist who knows the current model and content structure. Larger work, such as rebuilding metrics or redesigning the semantic layer, needs someone who can think in business logic, warehouse design, and access control. The harder the governance problem, the more important deep Looker experience becomes.
Most Looker work can be done remotely because modeling and dashboard work live in the warehouse and the Looker instance. On-site time in Munich is useful for workshop-heavy projects, stakeholder interviews, or sensitive reporting topics. Many teams use a mix of both.
Look for clean LookML, consistent metric definitions, and a model that is easy to extend. A strong Looker professional explains trade-offs clearly and avoids hard-coded logic scattered across dashboards. Good signs are good documentation, reusable views, and a calm way of handling business questions about numbers.
Google Cloud Looker projects often involve warehouse-connected dashboards, governed KPI layers, embedded analytics, and content migration from older reporting tools. Teams also hire specialists to improve query performance, standardize naming, or support a move to a more controlled analytics setup. In Munich, these projects often sit close to product, finance, or operations reporting.
Of the freelancers in Munich, Germany who have used Looker in their recent projects, 100% hold at least a Bachelor's degree, 70% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Munich, Germany who have used Looker in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Munich, Germany who have used Looker in their recent projects are German (100%), English (100%), and French (30%).
The most common industries among freelancers in Munich, Germany who have used Looker in their recent projects are Information Technology (80%), Media and Entertainment (60%), and Professional Services (60%).
The most common business areas among freelancers in Munich, Germany who have used Looker in their recent projects are Business Intelligence (80%), Marketing (80%), and Information Technology (70%).
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.
Berlin 
Hamburg 
Frankfurt Request a free demo
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Philipp Thomaschewski
FRATCH CEO
