Looker Experts in Germany
matched in minutes with vetted specialists and the power of AIHire experts who design LookML models, build trusted dashboards and Explores, and connect Looker to BigQuery, Snowflake, or dbt. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Looker
Dmitry Pankov
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 Banuvaram
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.
Christine Tantschinez
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
Chisom N.
Last position:
Founder & Analytics Engineer at Museni Nexus
- 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.
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
Jens Sander
Last position:
Marketing Consultant – [New customer acquisition (B2B), Social Media, SEO] at Manufacturer of precision parts made of metal [confidential]
Strategic Marketing / New Customer Acquisition (B2B):
- Market and competition analysis: Identified competitors, developed evaluation grids, sketched provider landscape with potential customers, competitors and partners
- Concept for a cross-media, personalized multi-touch campaign
- Developed the multi-touch strategy in different variants with several stages, defined touchpoints, target companies and target people, developed the ideal customer profile and contact ideas
- Designed all individual measures: developed concepts for letters, postcards, landing pages, emails, phone calls and downloads
- Visualized the logic of the contact sequences (flowchart)
- Described the distinction from "account-based marketing"
- Implementation planning: Researched providers for packaging, shipping and landing page software, negotiated terms, recommended tools and partners
Social Media Marketing:
- Target categorization, definition and recommendation for action
- Review and selection of channels
- Concept for channel management
- Developed an 11-week editorial plan (Instagram & LinkedIn)
- Created, implemented and published image and video posts
- Campaign launch, ongoing monitoring and optimization
Search Engine Optimization (SEO):
- Website audit with indexing check
- Ranking, backlink, traffic and competition analysis
- Analyzed search and user behavior
- Consulting on SEO risks during relaunches with domain changes
- Keyword research and recommendations for action
Nitin Bhardwaj
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
Alans Cevers
Last position:
B2B Account Manager at 3 Oaks Gaming
- Grew a T1 client's monthly GMV by 40% in 4 months via a weekly marketing campaign schedule, while running our 1st South African product exclusivity campaign which generated 30% of the account's total GMV during launch month.
- Managed a portfolio of 13 T1 and T2 client accounts across the UK and South African markets, holding full P&L accountability for major brands including BetVictor, DAZN, and Entain.
- Expanded existing accounts into 4 new regulated markets to grow portfolio revenue organically, while successfully resolving a critical product configuration dispute to preserve a key T1 partnership.
- Onboarded 3 major clients by orchestrating cross-functional alignment across legal, tech, marketing, and sales teams. Tailored launch and growth plans, secured premium product placement and marketing activities on the client side from day one.
Torsten Feix
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
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.
Markus Kümpel
Last position:
Online Marketing Expert at S2 Software GmbH & Co. KG
- Lead generation for S2 Software in 10 European countries
- Google Ads (& Bing) and funnel optimization (A/B testing, copywriting, etc.)
- Increased leads by 250% between October and April (the company has been on the market for 10+ years)
- Responsible for the performance of 8 lead-gen websites and 2 online shops
Steffen Seitz
Last position:
Senior Technical PM, CRM Core Experience & AI at Propstack GmbH (Scout24 S.E.)
- Built a JTBD-based prioritization framework for 3,000+ accumulated feature requests, identified 27 broker jobs, validated 8 through 25 user interviews, and used the resulting job map as a live prioritization filter for all incoming channels (Upvoty, CSAT, consulting tickets).
- Responsible for the Scout24 Lighthouse initiative: Document Intelligence with full RAG architecture (semantic chunking, bge-m3 embeddings, pgvector, BM25+Dense hybrid retrieval).
- Reduced lead time of customer feature requests to 3.1 days through code analysis, ticket specification, and independent implementation using a coding agent (Codex).
- Developed an LLM-based support agent (GPT-4o mini, Codex-generated merge requests) that reduced 3rd-level escalations from 40% to 5% of all monthly tickets.
- Integrated six partners through technical coordination, specification, backlog and release management, and led seven full stack developers.
- Eliminated regulatory exposure for brokers in six weeks through risk analysis (BGH ruling on distance selling/GDPR), new audit features, and coordination with legal and data protection officers.
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.
Jörg Reger
Last position:
Marketing Consultant at Freelance
- Strategic and operational marketing consulting for companies (positioning, lead generation, building marketing structures)
- Development of marketing strategies including responsibility for operational execution
- Concept for a productized service offer for SMEs
- Building AI-supported workflows and automations for marketing and sales
Selin Ekici
Last position:
Project Manager & Entity PMO Lead at Valeo Switches and Sensors GmbH
- Lead and coordinate complex cross-functional projects within LiDAR and software development environments.
- Develop and maintain critical project schedules, monitor work packages, track project baselines, and manage milestone progression via Gantt plans.
- Drive robust project controls by preparing detailed project forecasts, cost analyses, workload planning, and resource tracking.
- Monitor and report core KPIs related to cost, timing, quality, and delivery performance to ensure alignment with organizational goals.
- Design and present executive dashboards, management reports, and steering committee presentations for senior leadership.
- Facilitate seamless communication and alignment between R&D, Quality, Purchasing, Manufacturing, Finance, and international stakeholders.
- Proactively identify risks, maintain comprehensive risk registers, and contribute to mitigation planning and escalation processes.
- Coordinate engineering change requests, assessing their operational impact on project scope, timing, resources, and budgets.
- Drive efficiency through AI-powered process improvements using LEA Suite, structured prompting, workflow automation, and automated meeting documentation.
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About the technology
Semantic modeling
Looker is used to build a governed analytics layer on top of cloud data warehouses. Specialists use LookML to define metrics, dimensions, joins, and reusable business logic so teams see one version of the truth. That makes reporting more consistent across finance, sales, product, and operations.
Core deliverables
- LookML models and explores
- Dashboards and scheduled reports
- Row-level access rules and user attributes
- Derived tables and reusable measures
- Data definitions that match business language
Ecosystem fit
Strong Looker work usually sits close to BigQuery, Snowflake, Redshift, Databricks, and dbt. Professionals also know how to work with Git-based workflows, deployment practices, and SQL tuning. They understand how to keep the semantic layer aligned with the warehouse and the source systems.
When to bring in help
Companies often hire freelance Looker specialists when a dashboard layer has grown messy, a model needs redesign, or a new warehouse is being introduced. In Germany, this often comes up in SaaS, manufacturing, retail, and finance teams that need clear reporting across local and global setups. Remote collaboration works well when data access is structured.
What strong specialists do
Good specialists do more than create charts. They ask how each metric should be defined, check how filters behave, and make sure content is reusable instead of copied into many places. They also document business rules so analysts and decision-makers can trust the numbers.
Quality signals
Look for professionals who can explain the difference between dashboards, Explores, and LookML models in plain language. They should be comfortable reviewing SQL, debugging joins, and simplifying a complex reporting layer without losing control. The best work in Looker is stable, readable, and easy for teams to maintain.
Frequently asked questions
Not sure where to start with Looker? These answers cover the essentials.
Looker is used to create a governed semantic layer over warehouse data. It helps teams define business metrics once and reuse them in dashboards, self-service analysis, and scheduled reporting. That matters when different departments need the same figures to mean the same thing.
Looker is usually chosen when the company wants metrics defined in code and managed close to the data warehouse. Tableau and Power BI are often stronger for highly visual, ad hoc exploration and desktop-style reporting. If consistency and reusable business logic matter most, Looker often fits better.
A strong Looker specialist should also know SQL, data modeling, and warehouse concepts. Experience with dbt, Git, and access control is very useful too. They need to understand business definitions, not just the tool itself.
A Looker project can start with a focused specialist if the scope is small and the data model is already clean. Larger rollouts need someone who can design the semantic layer, manage governance, and guide reporting standards. The more teams depend on the same metrics, the more important deep experience becomes.
Yes, Looker work is often done remotely, including for teams in Germany. The key is good access to warehouse schemas, sample data, and clear business owners for definitions. On-site workshops can help at the start, but ongoing modeling and dashboard work usually fits remote collaboration well.
You may need a Looker expert when dashboards disagree, metric definitions are copied in many places, or users do not trust the numbers. Another sign is slow changes because the model has become hard to maintain. A specialist can usually simplify the structure and restore confidence.
Review whether the Looker work is readable, reusable, and documented. Good models separate business logic from presentation logic, use clear naming, and avoid repeated SQL. Ask for examples of how they handled joins, permissions, and metric definitions.
Yes, Looker still adds value when you need a shared analytics layer on top of dbt and the warehouse. dbt helps shape data in the warehouse, while Looker helps present governed metrics to business users. Many teams use both because they solve different parts of the reporting stack.
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
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