Data Warehouse Experts in Vienna
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Meet FRATCH Experts in Vienna, who have recently used Data Warehouse
Thomas Pacal
Last position:
Change Manager / Sales Transformation at SEFE
- Organizational Change Management as part of a group-wide, supranational sales transformation, serving as the core of a broad restructuring of business-critical areas, with end-to-end control of the change process and long-term embedding and securing the future readiness of sales.
- Initiation and end-to-end steering of the sales transformation program, including in-depth analysis to identify, assess, and strategically involve all relevant stakeholders, making tactical use of their specific business interests and influence.
- Conducting advanced, detailed change impact analyses to predict the organizational effects of the transformation, deriving a tailored change strategy, and developing a change roadmap and a change story as the core narrative of the campaign.
- Designing and implementing an integrated communication and action plan to ensure maximum transparency, effectively manage unspoken expectations, and actively guide a change process that is clear and understandable for all stakeholders.
- Active management of all transformation phases, including the setup of robust monitoring mechanisms for continuous progress analysis and forecasting based on recommended and jointly defined KPIs.
- Establishing an agile analysis and adjustment cycle to continuously assess the effectiveness of implemented measures, identify challenges early, and fine-tune the change strategy in time.
- Conducting precise gap analyses to identify skill gaps in the sales team in the context of the new strategic direction, and deriving and developing targeted qualification measures (e.g. coaching, training).
- Comprehensive reduction of resistance to change by turning opposing stakeholder mindsets into proactive change-driving change ambassadors.
- Deep and sustainable realignment of sales structures and processes in full alignment with the company’s overall goals.
- Qualitative and quantitative improvement of sales efficiency and performance as a direct result of the implemented transformation initiatives and capability-building programs.
Stefan Dangubic
Last position:
BI Consultant in Controlling at Reutter GmbH
- Extraction, transformation, and cleansing of data from Microsoft Dynamics AX
- Creation of sales reports in Power BI
- Training employees in business intelligence
- Technologies: Power BI, SQL, SQL Server Integration Services (SSIS)
Nikola Neloski
Last position:
Founder and CEO - Senior Business Analyst at fintechno AI GmbH
- Business analysis
- Requirements engineering
- System design
- Various insurance projects
- Technology stack: msg.Billing (in-/ex-collection)
- Product: Pay-per-use car insurance based on blockchain and OBD-II real-time telemetry with AI
Fabio Galvagni
Last position:
IT Architect, Requirements Analyst and Consultant at CANCOM
- Supports CANCOM customers in migrating legacy on-prem systems to Microsoft Fabric and Microsoft Foundry
- Takes over and stabilizes existing solutions after a short handover
- Business analysis and requirements engineering for migration to a new cloud environment
- Optimization of machine learning models for feature extraction and customer profiling
- Ensures data protection and compliance
- Leads the migration of on-prem systems to Microsoft Fabric
- Designs new AI platforms for clients
- Tests the integration of chatbots for document intelligence with Microsoft Foundry, including requirements analysis, implementation, validation, and client communication
Jerry Bousardo
Last position:
Owner at DIGIPM Consulting e.U.
From 02/2023 to 05/2024: IT interim manager within an international construction chemicals group headquartered in Germany as Global TSA Manager in a carve-out project responsible for the IT workstream.
From 06/2024: IT consulting in project management and IT service management areas, providing PM/PMO coaching and support.
Frank Welk
Last position:
Software Development at REI and EMI
- Code review, bug fixing, and new development of program code in PL/SQL and Oracle Forms
- Migration of the database version to Oracle 12/19 and migration of the Oracle Forms environment from client-server to web (6i → 12c)
- Fixing blocking sessions and implementing new workflow requirements
- Use of PL/SQL packages, procedures, functions, database triggers, batch files, and Java applications
- Revision of screen masks based on Oracle Forms and client-side PL/SQL code
- Business handling of issuing and processing vouchers (REI = Reimbursement; EMI = Emission), including billing with acceptance partners
- Agile development based on SCRUM with monthly sprints and weekly coordination meetings
Michael Gonschor
Last position:
Scrummaster at Xenovo
Planning and monitoring sprints and holding the scheduled meetings
Analyzing and resolving issues in the development process
Error analysis, bug management and correction in individual process steps
Stakeholder management
Documentation and improvement of the development process
Tools: JIRA, Confluence
Lorenz Graiff
Last position:
Business Analyst at Wirtschaftsagentur Wien
- Conducting a feasibility study on introducing an in-house DWH as a central data source
- Conducting workshops for current state analysis (processes, reports, KPIs) together with the clients
- Gathering and detailing business requirements including a target concept for an in-house DWH
- Coordinating and clarifying data deliveries and interfaces in meetings with stakeholders and data providers
- Developing initial data models as a basis for data quality and later implementation
- Drafting solution variants including architecture and operation options and decision basis
- Creating the business case including effort estimates, cost-benefit analysis, and decision report
Benjamin Auer
Last position:
Multi-Project Manager at Trading Company
- Setup of a new Data Warehouse (Budget ~€15M 2025 – 2026)
- Backend modernization project (Budget ~€5M 2025 – 2026)
- Standard software rollout with custom programming (Budget ~€9M 2025 – 2026)
Gerald Gastgeb
Last position:
Data Design Authority at Department of Government Enablement
- Responsible for realigning the data architecture of the Abu Dhabi government to achieve a fully AI-driven public administration
- Definition of modeling standards
- Creation of a conceptual and logical model for the entire Abu Dhabi government administration
- Definition of data quality and data security standards
Anton Larch
Last position:
Self-employed at Controlling Lab eU
Business intelligence and digitization projects
Controlling as a Service
Financial accounting and payroll
Interim management
Business Intelligence Competence Team (2025) at a food retail company (EUR 21bn revenue, 52k employees): project work at the interface between the finance department and the IT service provider; various implementation projects in reporting and business intelligence
Consulting services (2025) for a biotech startup (EUR 5m revenue, 25 employees): optimizing and automating accounting and controlling processes; introduction of a central data warehouse system for planning and reporting
Consulting services (2025) in the broadcasting and telecommunications industry (EUR 130m revenue, 200 employees): analysis and troubleshooting of financial processes in the BSS system (customer management and billing system)
Consulting services (2024) in the broadcasting and telecommunications industry (EUR 130m revenue, 200 employees): transfer and implementation of cost accounting into a new database system
Octavian Golea
Last position:
Oracle DWH Analyst at Infomotion Gmbh
Oracle PL/SQL, Oracle SQL, ITIL
Karin Wallner
Last position:
Head of Controlling at Frey-Wille GmbH & Co KG
- Leading the controlling department (1 employee)
- Financial advice to the owner
- Support for mergers & acquisitions and due diligence
- Support in liquidity planning
- Support in monthly and annual financial statements (UGB)
- Preparation of business plans and strategic planning
- Annual planning, budgeting and forecasts
- Strategic sales and production management
- Creation of a new reporting package in Excel (UGB/IFRS) with validation checks and automations
- Creation of a new consolidation package in Excel
- Development of a new inventory process
Qamile Bufaj
Last position:
SAP BI / SAP Analytics Cloud at ARDDEX Group
- Gathering requirements and conceptually designing reporting and planning requirements in controlling (CO) and modeling SAP Analytics Cloud data models for group reporting.
- Designing and implementing reports and dashboards to support planning, forecasting and control processes.
Christian Schön
Last position:
Commercial Manager/CFO at MEV Independent Railway Services GmbH
- CFO, authorized signatory, commercial managing director: finance, HR, IT & organization, funding
- Achieved reorganization and 100% growth in staff and revenue over four years while keeping fixed costs constant
- Improved a negative equity ratio to plus 30%
- Implemented a modern IT and reporting system
Discover over 15,000 top freelancers
Statistics of experts using Data Warehouse
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
2.8 years
Positions per freelancer
12
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Banking and Finance, Manufacturing
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
88%
Doctorate
12%
Certifications per freelancer
4
Most common languages
German, English, French
Speak two or more languages
95%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Vienna 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.
Average rates of experts in Vienna using Data Warehouse
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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Data access
A data warehouse brings data from many systems into one place for analysis. It is built for reporting, dashboards, forecasting, and audit-ready business views. Teams use it when they need stable numbers instead of live application data.
Core work
Typical work includes:
- Dimensional models and star schemas
- ETL and ELT pipelines
- Data quality checks and reconciliation
- Reporting layers for BI tools
Strong specialists understand facts, dimensions, slowly changing data, and how business rules affect metrics.
Tooling
The stack often includes SQL, dbt, orchestration tools, and cloud data warehouses such as Snowflake, BigQuery, or Amazon Redshift. Some companies still run Oracle, SQL Server, or Teradata warehouses on-premises. The right expert knows how to work across both legacy and modern setups.
When to hire
Companies bring in freelance help when a warehouse is slow, inconsistent, or hard to change. They also need support during migrations, new source integrations, or BI rebuilds. In Vienna, this often fits finance, logistics, retail, and other data-heavy teams that need clear reporting across systems.
Strong profiles
Good specialists focus on data models, not just queries. They document business logic, keep pipelines testable, and know how to handle historical data without breaking reports. They also understand security, access control, and how to support both analysts and technical teams.
Working style
Remote work is common for warehouse projects because most tasks happen in SQL, pipelines, and documentation. On-site time can help when source systems, stakeholders, or domain rules are complex. In Vienna, clear English is often enough, though local business context can make handover and workshops easier.
Frequently asked questions
What clients ask us most about Data Warehouse — answered in short.
A data warehouse collects data from different systems and turns it into a consistent base for analysis. It supports dashboards, management reporting, trend analysis, and historical views that are hard to keep stable in operational systems. Companies use it when they need one trusted place for business metrics.
No. A data warehouse is structured for analysis and business reporting, while a data lake usually stores raw or semi-structured data for broader exploration. Many teams use both: the lake for flexible storage and the warehouse for curated, reliable metrics.
Bring in Data Warehouse support when you need a new model, a migration, faster queries, cleaner pipelines, or help untangling reporting issues. Freelance specialists are also useful when the internal team is busy and a delivery deadline is close. This is common during BI changes or source-system integrations.
A strong DWH specialist should also know data modeling, ETL or ELT design, orchestration, testing, and business metric definitions. Cloud warehouse services, dbt, and BI tools are often part of the work. Good documentation and clear communication matter just as much as technical depth.
A data warehouse is the data foundation; Power BI and Tableau are reporting tools that read from it. You do not replace one with the other. If reports are slow or inconsistent, the problem is often in the warehouse model or pipeline, not in the visualization layer.
Most Data Warehouse work can be done remotely because it is built in SQL, pipelines, and documentation. On-site sessions in Vienna can help when business definitions are unclear or when teams need workshops with local stakeholders. Many projects work best with a remote build and a few in-person checkpoints.
Look for clear models, readable SQL, testing, and a strong grasp of source-to-target logic. A good enterprise data warehouse specialist explains why a metric is built a certain way and can show how they prevent breakage in downstream reports. Past work on migrations, performance tuning, or complex business logic is a strong signal.
A data warehouse is common in finance, sales, supply chain, operations, and executive reporting. It is also useful in industries that need traceable numbers and historical analysis across many systems. If a team argues about whose numbers are right, a warehouse often becomes essential.
The average hourly rate of freelancers in Vienna, Austria who have used Data Warehouse in their recent projects is 108 €, which corresponds to a daily rate of about 865 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used Data Warehouse in their recent projects, 100% hold at least a Bachelor's degree, 88% hold at least a Master's degree, and 12% hold a doctorate.
On average, freelancers in Vienna, Austria who have used Data Warehouse in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.8 years.
The most common languages among freelancers in Vienna, Austria who have used Data Warehouse in their recent projects are German (100%), English (95%), and French (35%).
The most common industries among freelancers in Vienna, Austria who have used Data Warehouse in their recent projects are Information Technology (80%), Banking and Finance (70%), and Manufacturing (45%).
The most common business areas among freelancers in Vienna, Austria who have used Data Warehouse in their recent projects are Information Technology (100%), Business Intelligence (80%), and Project Management (80%).
Main locations of FRATCH Experts, who have recently used Data Warehouse
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.
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