Skip to main content
🇩🇪GDPR-compliant
Find experienced

Data Quality Experts in Switzerland

matched in minutes with vetted, available freelancers

Hire experts who profile datasets, define validation rules, resolve duplicates and build reliable data quality processes across CRM, ERP, analytics and regulatory workflows. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your project.

Meet FRATCH Experts in Switzerland, who have recently used Data Quality

Verified expert

Tomas H.

View profile

Six Sigma Process Excellence Leader | Process Optimization, Continuous Improvement & Root-Cause Analysis (Six Sigma Black Belt)

Altendorf
Tomas H.

Last position:

Senior Advisor at Private Equity company (Business Integration)

Engaged to build governance, risk and process-improvement capabilities from scratch across approximately 30 fast-growing, decentralised lines of business in Germany, driving quality and productivity gains across business and functional teams.

  • Applied Six Sigma root-cause analysis methodology (5-Why, Fishbone/Ishikawa) to lead investigations and process-improvement initiatives across the organisation’s finance, risk, IT and procurement functions, driving corrective actions and process redesign through to verified, sustained closure.
  • Delivered structured training programmes to approximately 1,200 employees, for Compliance topics, incl. Six Sigma analysis and process-improvement methodology, building a continuous-improvement mindset and self-assessment capability across business and functional leaders.
  • Analysed and optimized finance, risk and procurement processes across approximately 30 decentralised lines of business, developing and implementing continuous-improvement strategies and collaborating with cross-functional stakeholders (Finance, Controlling, IT, Procurement) to achieve measurable quality and productivity gains.
Verified expert

Paulo M.

View profile

Power BI & Microsoft Fabric Specialist | AI & Copilot | SAP BI

Zürich
Paulo M.

Last position:

Power BI / Fabric & SAP BI Consultant at Financial Bank

  • Developed Power BI semantic models, DAX and RLS, improving reporting performance and security.
  • Designed Fabric Lakehouse with Medallion Architecture (Bronze/Silver/Gold), accelerating data processing and improving maintainability and scalability.
  • Built Fabric Data Factory pipelines and PySpark transformations, reducing processing time by 40%.
  • Delivered automated Power BI KPI dashboards, accelerating reporting and decision-making.
  • Supported SAP BO 4.3 → 2025 migration across 2,000+ Webl reports and 34 universes, reducing testing effort by 35% and improving migration quality and reliability.
  • Optimized UNX universes, reducing query execution time by 40%.
  • Optimized SAP BO reporting solutions, improving reliability and reducing manual effort.

Environment: Power BI, Microsoft Fabric (Lakehouse, Warehouse, Pipelines, PySpark), Tabular Editor, DAX Studio, SAP BI (BO 4.3/2025, Webl, UNX Universes), 360Suite, InfoBurst, GitHub, JIRA.

Verified expert

Francesca L.

View profile

Martech Data Lead

Ecublens
Francesca L.

Last position:

EMEA CDP Community Lead at Merkle Switzerland AG

Founded and scaled Merkle's CDP community, and built the foundation of a Centre of Excellence

  • Cultivated strong connections with C-levels of the company, securing their support and ensuring the community's efforts align with organizational goals (and vice versa when needed)
  • Nurtured vendor relationships ensuring top support to the teams and recognition for opportunities
  • Drove community growth (+100 members), cross-country collaboration, enablement, best practices, and knowledge sharing across 7+ countries, positioning Merkle as leader in CDP implementations.
Verified expert

Patrick B.

View profile

Senior Software Engineer

Zürich
Patrick B.

Last position:

Senior Software Engineer at On AG

  • Since August 2025 I'm working on the Conversational AI team. We are developing an internal platform for the future of Conversational Ecommerce, powering other teams to use the Agents in their user experience. I'm deeply focused on the architecture of this project, with a particular focus on the monitoring and live evaluation of the agents.
  • Played a pivotal role in business-critical operations, including Adyen client upgrades, multi-account configuration for app releases, domain migration support, and implementing a crucial BFCM hotfix to resolve a 10-minute update query (on the checkout workflow) that was blocking sales.
  • Served as a key member of the On-Call rotation for over a year, leading >15 incidents, contributing to system stability, and enhancing distributed tracing via New Relic integration, deepening system-wide understanding and operational excellence.
  • Conceived and delivered an MVP for a "Low Stock in Key Variants" (LSKV) index within two weeks as part of the Conversion Rate Taskforce, using statistical analysis of size curves to identify OOS products; this initiative led to a (0.9%) CVR improvement post-handover.
  • Led major performance and stability initiatives, including a Ruby upgrade (YJIT, Jmalloc) that slashed average response times from 220ms to <100ms, and initiated an "Order Table Cleanup" project to manage 10M+ order records, ensuring SOX compliance and database health.
  • Architected and delivered a scalable CloudFlare Worker solution for critical Apple Pay domain validation, mitigating operational risks and establishing a best-practice, automated workflow that was subsequently leveraged by multiple teams, demonstrating cross-functional impact
  • Drove substantial evolution of the core e-commerce backend through consistent, high-impact contributions (130+ merged PRs), spanning critical feature delivery, complex system optimizations, and enhancing platform stability."
Verified expert

Charles S.

View profile

Data & Analytics Product Manager | AI-Augmented Data Products | Executive BI Delivery | Financial Services

Zürich
Charles S.

Last position:

Data Delivery Lead at Westpac

  • Owned and managed the product roadmap and backlog for the Consumer Banker reporting framework, prioritising features and driving iterative delivery of banker scorecards and network performance reporting in an agile environment.
  • Developed and iterated portfolio financial reporting on a weekly cadence based on stakeholder feedback, replacing manual PowerPoint packs and saving the program hours of effort weekly.
  • Integrated Generative AI (MS Copilot) to automate data lineage documentation across a large legacy codebase, eliminating est. 6 months of analyst effort and accelerating data governance outcomes.
  • Led a unified data delivery approach and standards across five UNITE initiatives (~CHF 115m portfolio) supporting consolidation of legacy systems into the Digital Banker platform.
  • Led cross-functional delivery team of 3 while also drawing on BA and DA talent pools, coordinating analytical resource across workstreams to accelerate data, reporting & governance outcomes.
Verified expert

Fatima D.

View profile

Clinical Data Manager

Fatima D.

Last position:

Clinical Data Manager at Consultant – Clinical Data Management & Clinical Operations

  • Served as a DM contractor for Mirum Pharmaceuticals between 2025-02-01 and 2026-05-31, leading end-to-end clinical data management activities
  • Coordinated a significant networking event for HEMEX (Swiss CRO), fostering connections within the Swiss biotech ecosystem
  • Engaged with stakeholders to explore innovative models that simplify execution and reduce operational burdens for clinical trials
Verified expert

Lenka P.

View profile

Enterprise HR Project Manager | Workday Solution Architect

Zürich
Lenka P.

Last position:

Workday Technical Architect at Swisscom

(Project Assignment via consulting company HighPerfPeople)

  • Lead the Workday Optimization Board, defining and presenting the Workday enhancement roadmap; drive prioritization based on stakeholder input, system analysis, and identified capability gaps.
  • Challenge business requirements and proposed solutions to ensure alignment with long-term architecture principles, platform strategy and operational sustainability.
  • Own the complete lifecycle of Workday enhancements from business discovery and solution design through implementation governance, testing strategy, deployment and stabilization.
  • Act as functional/technical lead for key product areas including Peakon, Workday Learning, and Talent/Performance processes (e.g., year-end cycle, goal setting).
  • Define and implement Workday branding and communication standards (templates, notification design, messaging structure) to improve consistency and employee experience.
  • Build and enhance manager- and HR-facing tools (reports, dashboards, guidance/Journeys, process support assets) to reduce manual effort and improve decision-making.
  • Translate complex system behavior, security/privacy constraints, and process implications into clear options for business stakeholders and leadership.
  • Drive cross-functional collaboration with HR process owners, IT/security, and vendors to resolve issues and enable scalable solutions.
  • Strong focus on adoption: ensure changes are usable, understandable, and actionable for employees, managers, and HR teams.
Verified expert

Kawahya T.

View profile

Public Health Expert - Contract

Geneva
Kawahya T.

Last position:

Public Health Expert - Contract at Mercor

  • Contributed to Project Atlas as a domain expert supporting the design of realistic, long-horizon professional tasks for AI agent evaluation. Developed complex, public health-relevant workflows that test an AI agent's ability to navigate ambiguous prompts, synthesise information across distributed files and systems, manage multi-step dependencies, handle errors, and produce high-quality professional deliverables.
  • Applied public health expertise to design task scenarios involving emergency preparedness, operational readiness, health systems strengthening, risk assessment, surveillance, and policy-oriented decision-making. Responsibilities included creating task prompts, golden solutions, rubrics, and evaluation criteria aligned with real-world professional standards. At the same time, ensuring outputs were action-focused, ethically grounded, and suitable for assessing advanced AI performance in realistic organisational environments.
Verified expert

Hanspeter J.

View profile

Lead Consultant Salesforce DACH

Zug
Hanspeter J.

Last position:

Lead Consultant Salesforce DACH at DXC Technology

  • Recording, validating and coordinating customer requirements
  • Analyzing commercial processes at customers, as well as designing and implementing solution designs in Salesforce
  • Designing and developing Salesforce architectures based on Sales and Service Cloud
  • Maintaining and expanding own competence in order to know the new functions of Salesforce
  • Taking an active role in the pre-sales phase and working closely with the sales and pre-sales teams
  • Building and consolidating maturity within the team in new topics
  • Actively helping to define and align own role within the DXC Best Practice
  • MC Growth implementation
  • AI Agentforce Agents Builder
  • Agent Designer with elements.cloud
  • Salesforce ORG assessments
  • Process configuration mining
  • Single point of contact for SFDC contacts global
  • Project coordination with the EMEA and global head
  • Proposal presales work with Salesforce AE and client partners for global accounts
Verified expert

Monika E.

View profile

Tax Specialist

Oberengstringen
Monika E.

Last position:

Tax Specialist at Julius Bär / Bosshard & Partner

  • Operational responsibility in tax relief at source
  • Took over and stabilized a complex department during a project phase
  • Analysis, review, and optimization of existing processes and workflows
  • Updating and further development of the specialist manual
  • Analysis and resolution of individual cases in an international tax environment
Verified expert

Gwang Jin K.

View profile

Data Scientist / Applied AI, Automation & Data Systems Researcher

Zürich
Gwang Jin K.

Last position:

Data Scientist / Applied AI, Automation & Data Systems Researcher at Independent

  • Built and explored applied GenAI, RAG, GraphRAG, local LLM, agentic AI and document-intelligence prototypes for structured analysis, evidence extraction, semantic search, technical reasoning and decision-useful reporting
  • Developed private local-LLM workflows and AI system patterns focused on privacy, reproducibility, reviewability, low-cost inference and practical user control
  • Built reproducible Python/R workflows for data analysis, automation, API-driven tooling, validation logic, technical documentation and AI-assisted software development
  • Designed workflows around explicit assumptions, traceable inputs, reviewable outputs and failure-mode awareness rather than black-box “looks good” demonstrations
  • Supported RAHN AG in a chemical/regulatory environment with data extraction and processing around WERCS, a regulatory application for chemical product and compliance data
  • Explored complex application/database schemas and wrote nested SQL queries to extract information for mixture calculations, component relationships, regulatory rules and reporting logic
  • Continued hands-on development in Git/GitHub/GitLab/Bitbucket, Docker/Linux deployment patterns, REST/API workflows, error handling, technical writing and fast AI-assisted prototyping
  • Built technical writing and documentation workflows that turn complex systems into clear runbooks, checklists, decision notes and user-facing explanations
Verified expert

Arthur B.

View profile

Co-CEO / Owner

Laufenburg
Arthur B.

Last position:

Co-CEO / Owner at Ettiksoft GmbH

  • Delivering smart, scalable solutions tailored to clients’ real needs with a team of 100+ highly skilled professionals.

  • Embedded software solutions

  • AI solution consulting & development

  • Microsoft Power Automate & process optimization

  • Web development & lightweight applications

Verified expert

Mandy G.

View profile

Founder & Principal Consultant

Biel/Bienne
Mandy G.

Last position:

Founder & Principal Consultant at MGH Consulting

  • Established an independent consulting practice offering transformation, strategy, AI enablement and operational design to organisations across Switzerland and internationally
  • Delivering pro-bono and paid engagements with NGOs, foundations, trusts and SMEs across Switzerland
  • Service offering spans governance design, digital transformation, AI tools training and data visualisation
  • Building a Swiss-based team with a vision to employ internationally experienced consultants
Verified expert

Max M.

View profile

Qualtrics CXM Solutions Expert

Zürich
Max M.

Last position:

Qualtrics CXM Solutions Expert at Freelancing

  • Support with the introduction and implementation of the Qualtrics XM platform in the consulting and service environment for customers, e.g. in the banking sector, focusing on data quality, parameterization, technical coordination, and implementation support

  • Technical validation of configurations, feedback flows, and reporting setups

  • Review and assurance of data quality (mapping, mandatory fields, regulatory-relevant fields)

  • Performance of UAT, functional tests, and data checks in collaboration with the department and IT

  • Coordination with stakeholders from consulting, service, compliance, IT, and product management

  • Clarification of technical requirements with the business side and derivation of adaptation requirements in the platform

  • Creation of documentation, test protocols, and quality-related artifacts

  • Support in the preparation of internal approvals and rollouts

  • Successful technical acceptance of the new feedback and reporting functionalities

  • Increase in data quality in the relevant fields (e.g., feedback classification, assignment to the consulting process)

  • Stable implementation of the platform in the consulting environment with clear handover to IT and specialist departments

Discover over 15,000 top freelancers

Statistics of experts using Data Quality

Aggregated from the professional profiles of matched freelancers.

Experience

21 years

Data Quality experts in Switzerland have 21 years of professional experience on average.

Position duration

2.7 years

Data Quality experts in Switzerland stay in a single position for 2.7 years on average.

Positions per freelancer

11

Data Quality experts in Switzerland have completed 11 positions on average over the course of their careers.

Top business areas

Information Technology, Project Management, Quality Assurance

Data Quality experts in Switzerland have gathered most of their hands-on project experience in Information Technology, Project Management, and Quality Assurance.

Top industries

Information Technology, Banking and Finance, Professional Services

Data Quality experts in Switzerland are most in demand in Information Technology, Banking and Finance, and Professional Services.

Certification focus areas

Information Technology, Project Management, Business Intelligence

Data Quality experts in Switzerland earn their certifications most often in Information Technology, Project Management, and Business Intelligence.

Bachelor's degree or higher

95%

95% of Data Quality experts in Switzerland hold at least a Bachelor's degree.

Master's degree or higher

70%

70% of Data Quality experts in Switzerland hold at least a Master's degree.

Doctorate

10%

10% of Data Quality experts in Switzerland have a doctorate (PhD).

Certifications per freelancer

3

Data Quality experts in Switzerland hold 3 professional certifications on average.

Most common languages

English, German, French

Data Quality experts in Switzerland most often speak English, German, and French.

Speak two or more languages

96%

96% of Data Quality experts in Switzerland speak two or more languages.

Based on our profile pool as of 29 Oct 2026.

Daily rate distribution

0% 25% 50% 75% 100%
9% of Data Quality experts in Switzerland charge less than €800 per day.
55% of Data Quality experts in Switzerland charge between €800 and €1200 per day.
32% of Data Quality experts in Switzerland charge between €1200 and €1600 per day.
5% of Data Quality experts in Switzerland charge €1600 or more per day.
<€800 €800-​1200 €1200-​1600 €1600+

The chart shows how the daily rates of experts in this technology in Switzerland 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.

Average rates of experts in Switzerland using Data Quality

Rates are based on recent contracts and do not include FRATCH margin.

1200
900
600
300
Rate comparison chart
Daily rate avg. 1000 €

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

1200
900
600
300
Rate comparison chart
Median rate 976 €

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.

Data Quality 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 (74%)
  • Banking and Finance (59%)
  • Professional Services (56%)
  • Manufacturing (48%)
  • Healthcare (37%)
  • Energy (30%)
  • Insurance (30%)
  • Education (26%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

What Data Quality covers

Data Quality is the discipline of making data accurate, complete, consistent, timely, valid and fit for its intended use. It covers the rules, controls and processes that keep customer, product, financial and operational records trustworthy across their full lifecycle.

Where it is used

Companies apply Data Quality to improve reporting, master data, migration projects and automated decisions. Typical work includes:

  • Profiling customer, supplier and product records
  • Detecting duplicates, missing values and conflicting formats
  • Validating data before analytics, integrations or system migration
  • Monitoring quality across recurring data flows

Ecosystem and tooling

Specialists work across databases, warehouses, lakes, CRM and ERP systems. They may use SQL, Python, spreadsheets, data catalogs and observability tools, alongside platforms such as Informatica, Talend, Ataccama, Collibra or Great Expectations. The right tooling depends on data volume, ownership and control requirements.

When companies need specialists

Freelance expertise is useful when internal teams discover unreliable dashboards, failed integrations or repeated manual cleansing. It also supports mergers, ERP and CRM changes, cloud migrations, regulatory reporting and the creation of a data governance operating model. Switzerland-based teams may benefit from professionals who can collaborate on-site or remotely and work across English, German, French or Italian contexts.

What strong professionals deliver

Effective specialists connect business definitions with technical checks. They establish data quality dimensions, map critical data elements, set measurable rules, trace issues to their source and document ownership. They also create exception workflows and monitoring that remain useful after the initial remediation project ends.

How quality improvements last

A durable Data Quality program combines prevention, detection and accountability. Strong professionals help teams embed validation in ingestion pipelines, integrations and user workflows instead of relying only on cleanup exercises. They explain trade-offs clearly, prioritize defects by business impact and leave behind documented rules, dashboards and handover guidance.

Published on:
FRATCH GPT

FRATCH GPT delivers freelancer proposals with clear reasoning and transparent pricing in minutes, helping your hiring department quickly and compliantly find the best talent.

Give it a try:

Try FRATCH GPT

Frequently asked questions

Questions about Data Quality? Start with the answers below.

Data Quality is used to make information accurate, complete, consistent, valid and timely enough for business use. Companies apply it to customer records, master data, reporting, analytics, integrations, migrations and automated decisions.

Data Quality is broader than data cleansing. Cleansing fixes existing issues such as duplicates or invalid values, while Data Quality also defines standards, prevents defects, monitors performance and assigns ownership for ongoing control.

A strong Data Quality specialist often combines SQL, Python, data profiling, data governance and master data management. Experience with ETL or ELT pipelines, APIs, databases, cloud warehouses, CRM or ERP systems is also valuable.

The right level for Data Quality depends on scope and risk. A focused profiling or cleansing task may need one specialist with strong SQL and business understanding, while an enterprise program calls for experience with governance, metadata, controls, stakeholder alignment and change management.

Data Quality work is often suitable for remote collaboration because profiling, rule design and monitoring can be performed securely online. On-site workshops can still help with process discovery, especially when teams in Switzerland need to align across German, French, Italian or English.

Ask a Data Quality freelancer to explain how they would profile a dataset, prioritize defects and prove that a fix worked. Look for clear reasoning about business impact, reproducible checks, documentation, ownership and monitoring rather than a tool list alone.

Data Quality projects may use SQL and Python together with tools such as Great Expectations, Informatica, Talend, Ataccama or Collibra. The choice should follow the data landscape, integration needs, governance model and team capability, not brand familiarity.

A typical Data Quality engagement can produce a profiling report, agreed quality dimensions, validation rules, issue registers, remediation workflows and monitoring dashboards. It should also document critical data elements, owners, thresholds and the process for handling future exceptions.

The average hourly rate of freelancers in Switzerland who have used Data Quality in their recent projects is 125 €, which corresponds to a daily rate of about 1,000 € based on an 8-hour working day.

Of the freelancers in Switzerland who have used Data Quality in their recent projects, 95% hold at least a Bachelor's degree, 70% hold at least a Master's degree, and 10% hold a doctorate.

On average, freelancers in Switzerland who have used Data Quality in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2.7 years.

The most common languages among freelancers in Switzerland who have used Data Quality in their recent projects are English (96%), German (85%), and French (41%).

The most common industries among freelancers in Switzerland who have used Data Quality in their recent projects are Information Technology (74%), Banking and Finance (59%), and Professional Services (56%).

The most common business areas among freelancers in Switzerland who have used Data Quality in their recent projects are Information Technology (85%), Project Management (78%), and Quality Assurance (67%).

Main locations of FRATCH Experts, who have recently used Data Quality

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.

Zurich Geneva Basel Bern

Countries:

Request a free demo

Get in touch with the FRATCH team and we will get back to you within 4 hours.

Contact form

Would you rather directly get in touch?
We always have the time for a call or email!

FRATCH CEO avatar

Philipp Thomaschewski

FRATCH CEO

LinkedInFRATCH