Hands-On Data Strategist - Focus on Microsoft Fabric and Power BI
Aktualisiert am 22.01.2025
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 03.02.2025
Verfügbar zu: 100%
davon vor Ort: 100%
MS Power BI
Data Analyst
Datawarehouse
SQL
Dashboard
Data Modeling
Azure
German
Muttersprache
English
fluent
Spanish
Intermediate
Dutch
Intermediate

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

11 months
2023-11 - 2024-09

Rollout of Microsoft Fabric

Business Intelligence Developer and Data Strategist DAX Power Query Warehousing ...
Business Intelligence Developer and Data Strategist
  • Implemented Microsoft Fabric solutions, spanning Power BI, Data Factory, Warehouse and Lakehouse architecture and Real-time intelligence
  • Data Model Development: Responsibility for building and optimizing data models supporting business intelligence initiatives, ensuring scalability and efficiency to accommodate the growing needs of the business.
  • Report and Dashboard Creation: Development and maintenance of detailed reports and interactive dashboards, ensuring clear and accurate visualizations of key business metrics for informed decision-making by stakeholders.
  • Data Warehouse Setup: Advising and guiding teams in setting up Data Warehouse (DHW) solutions, ensuring alignment with business needs and optimization for easy data storage, accessibility, and performance.
  • DAX and M Query Utilization: Extensive use of DAX (Data Analysis Expressions) and M queries for creating sophisticated calculations and transformations, enhancing data processing and analysis across reports and dashboards.
  • Data Analysis: Analysis of large, complex datasets to uncover trends, patterns, and actionable insights that inform business strategies and drive operational improvements.
  • Stakeholder Collaboration: Regular collaboration with stakeholders across departments to understand their business needs, translating those requirements into effective BI solutions for tactical and strategic objectives.
  • Automated Reporting: Design and implementation of automated reporting processes that streamline data flow, reduce manual intervention, and improve efficiency and consistency in reporting.
  • Ad-hoc Analysis: Performance of ad-hoc analyses to answer specific business questions, providing timely and relevant insights to support key strategic initiatives and resolve operational challenges.
  • User Training and Support: Provision of training and ongoing support to end-users, ensuring proficiency in using BI tools and dashboards to drive performance and business outcomes.
MS Power BI Microsoft Fabric Azure Data Factory Azure Synapse Real-Time Analytics Azure Devops
DAX Power Query Warehousing Lakehouse Architecture Data Engineering SQL Data Strategy Development CI/CD Data Governance Dashboarding and Visualization
Cologne
1 year 3 months
2022-07 - 2023-09

Implementation of Power BI

Business Intelligence Developer Power Query DAX SQL ...
Business Intelligence Developer
  • Built scalable and efficient data models to support business intelligence initiatives.
  • Designed and maintained interactive dashboards and detailed reports for key metrics visualization.
  • Guided teams in setting up Data Warehouse solutions aligned with business needs.
  • Leveraged DAX and M queries for advanced data calculations and transformations.
  • Collaborated with stakeholders to translate business needs into effective BI solutions.
  • Streamlined data flow and reporting processes through automation.
  • Performed ad-hoc analyses to address specific business questions and strategic objectives.
  • Provided training and support to end-users for efficient use of BI tools and dashboards.
MS Power BI Dataflows Power Query MS Excel Tabular Editor DAX Studio
Power Query DAX SQL Dashboarding Data Warehousing
Cologne
4 years 5 months
2018-01 - 2022-05

Core Platform Rebuilding

TEAM LEAD BUSINESS INTELLIGENCE
TEAM LEAD BUSINESS INTELLIGENCE
  • Core Platform Rebuilding: Key role as an influencer during the company?s rebuilding of core platforms, ensuring alignment of business intelligence systems with evolving business objectives and technical requirements for greater efficiency and scalability.
  • Data Platform Solutions: Conceptualization and design of data platform solutions and infrastructure, providing a solid foundation for data operations and enabling seamless integration and accessibility across various business intelligence processes.
  • Data Privacy and Governance: Successful addressing of issues surrounding data privacy and governance through implementation of best practices, ensuring compliance with relevant data protection regulations, and maintaining the integrity and security of sensitive business data.
  • BI Strategy Development: Development and execution of business intelligence strategies aligned with the company?s long-term objectives, driving data-driven decision-making and delivering valuable insights across multiple business functions.
  • Cross-Functional Collaboration: Close collaboration with cross-functional teams, including IT, data engineers, and business stakeholders, ensuring BI solutions were designed and implemented to meet both technical specifications and business needs.
  • Data Integration and Automation: Management of the integration and automation of complex data processes, streamlining workflows, reducing manual intervention, and improving the speed and accuracy of data delivery across the organization.
  • Performance Monitoring: Continuous monitoring of the performance of business intelligence tools and systems, identification of opportunities for optimization, and implementation of improvements to enhance overall system efficiency and user experience.
  • Stakeholder Communication: Maintenance of effective communication with key stakeholders, presenting actionable insights and BI findings that directly influenced business decisions and informed the company?s strategic direction.
  • Team Leadership: Leadership of a team of six employees, providing ongoing guidance, mentorship, and performance management to ensure successful execution of BI projects while fostering a collaborative and high-performing team environment.
  • Reporting and Dashboard Oversight: Oversight of the creation and maintenance of detailed reports and interactive dashboards, ensuring accurate, real-time insights that helped stakeholders make informed, strategic decisions.
Learnship
Cologne
10 months
2017-03 - 2017-12

Project Management

BUSINESS INTELLIGENCE SPECIALIST
BUSINESS INTELLIGENCE SPECIALIST
  • Project Management: Comprehensive requirements gathering sessions and financial project management from initiation to completion, ensuring alignment of financial systems, processes, and tools with organizational goals and stakeholder needs.
  • Data Modeling for Analysis: Sophisticated data models for in-depth financial analysis, creation of tools and alert systems enabling the organization to monitor key financial metrics and make data-driven decisions.
  • Implementation of Power BI: Successful implementation of Power BI across the organization, integration into financial reporting processes to enhance data visualization, provide real-time insights, and improve decision-making capabilities.
  • Data Engineering / Data Warehousing: Development and maintenance of data engineering processes and data warehousing solutions, ensuring organization and accessibility of financial data optimized for efficient analysis.
  • Dashboarding: Creation and management of a variety of financial dashboards, providing clear, real-time visualizations of key metrics and performance indicators to help stakeholders make informed decisions.
  • Quality Assurance: Establishment and management of rigorous quality assurance  processes to ensure accuracy, integrity, and reliability of financial data, mitigating risks and ensuring compliance with industry standards.
  • Financial Reporting: Preparation and review of comprehensive monthly, quarterly, and annual financial reports, ensuring accuracy, regulatory compliance, and actionable insights for senior leadership decision-making.
  • Budgeting and Forecasting: Leadership of budgeting and forecasting efforts across departments, collaboration with department heads to develop accurate financial plans aligned with organizational objectives.
  • Compliance and Regulatory Adherence: Ensuring strict compliance with accounting standards, financial regulations, and internal policies, minimizing risks and guaranteeing adherence to legal and regulatory frameworks.
  • Financial Analysis and Advisory: Provision of detailed financial analysis and strategic advice to senior leadership, guiding key business decisions, optimizing financial performance, and enhancing resource allocation across departments.
Learnship
Cologne
1 year 8 months
2015-07 - 2017-02

Financial Reporting Systems Implementation

FINANCIAL CONTROLLER
FINANCIAL CONTROLLER
  • Financial Reporting Systems Implementation: Implementation of comprehensive financial reporting systems across the organization, ensuring consistency, accuracy, and timely delivery of financial information.
  • Reporting Software Deployment: Deployment of advanced reporting and consolidation software, streamlining the collection, consolidation, and presentation of financial information across various departments, improving reporting efficiency.
  • Monthly Reporting Management: Management of the monthly reporting process, preparation of detailed financial statements, and validation of transactions, reconciliations, and supporting documentation to ensure accuracy and compliance.
  • Finance Process Optimization: Analysis and optimization of finance department processes, identification of inefficiencies, and implementation of streamlined workflows, improving team productivity, reducing costs, and facilitating faster financial reporting and decision-making.
  • Budget and Forecast Automation: Development and automation of budgeting and forecasting processes, integration of real-time financial data and historical trends for more accurate financial plans, enabling better financial decisions.
  • Financial Analysis Oversight: Oversight of financial analysis efforts, monitoring key performance metrics, and analyzing financial trends, providing senior leadership with actionable insights supporting business strategy and performance improvements.
  • Regulatory Compliance Assurance: Assurance that all financial practices adhered to relevant regulatory standards, accounting principles, and corporate policies, mitigating compliance risks and maintaining the organization?s financial integrity.
  • Audit Supervision: Supervision of internal and external audits, preparation of financial documentation, and collaboration with auditors to ensure all audit requirements were met efficiently and within deadlines.
  • Cash Flow Management: Monitoring and management of the organization?s cash flow, ensuring adequate liquidity to meet operational needs, optimizing working capital, managing debt, and safeguarding financial stability.
  • Strategic Financial Advisory: Provision of strategic financial advisory services to senior management, offering insights derived from financial data, informing key business decisions, and supporting resource allocation and long-term corporate goals.
Picanova
Cologne

Aus- und Weiterbildung

Aus- und Weiterbildung

1 year
2014-09 - 2015-08

Finance

MASTER OF SCIENCE (MSC), Maastricht University, Maastricht, Netherlands
MASTER OF SCIENCE (MSC)
Maastricht University, Maastricht, Netherlands
4 years
2010-09 - 2014-08

International Business

BACHELOR OF SCIENCE (BSC), Hogeschool Zuyd, Maastricht, Netherlands
BACHELOR OF SCIENCE (BSC)
Hogeschool Zuyd, Maastricht, Netherlands

Position

Position

  • Currently I build scalable and efficient data models to support business intelligence initiatives.
  • Reponsible for designing and maintaining interactive dashboards and detailed reports for key metrics visualization.
  • Guiding teams in setting up Data Warehouse solutions aligned with business needs.
  • Leveraging DAX and M queries for advanced data calculations and transformations.
  • Analyzinng large datasets to uncover trends, patterns, and actionable insights.
  • Collaborating with stakeholders to translate business needs into effective BI solutions.
  • Streamlining data flow and reporting processes through automation.
  • Performing ad-hoc analyses to address specific business questions and strategic objectives.
  • Providing training and support to end-users for efficient use of BI tools and dashboards.

Kompetenzen

Kompetenzen

Top-Skills

MS Power BI Data Analyst Datawarehouse SQL Dashboard Data Modeling Azure

Schwerpunkte

Power BI
Experte
Power Query
Fortgeschritten
Data Warehousing
Fortgeschritten
Microsoft Fabric
Fortgeschritten
Dashboarding
Experte
Data Modeling
Experte
Azure Stack
Fortgeschritten
Microsoft Excel
Experte

Produkte / Standards / Erfahrungen / Methoden

SUMMARY

  • Achievement-focused and versatile Microsoft Fabric Ecosystem Strategist with a strong background in blending business intelligence tools with financial expertise to deliver actionable insights.
  • Experienced in leading cross-functional teams, integrating BI landscapes and ensuring data governance within the organization. Skilled in leveraging the unified analytics capabilities, including OneLake, Synapse Analytics and Power BI to interpret complex datasets and streamline processes.
  • Adept at translating business needs into analytical solutions, ensuring data integrity and supporting organizational goals.
  • Data Strategist, serving as the bridge between technical teams and various departments, enabling everyone to focus on their respective missions while leveraging data effectively.


Business Intelligence

  • Data Modeling
  • Data Warehousing
  • Data Integration
  • Dashboarding and Visualization
  • Data Governance
  • Cloud Migration
  • Lakehouse Architecture


Technical Skills

  • Microsoft Fabric
  • Power BI
  • DAX Studio
  • Tabular Editor
  • Microsoft Excel
  • SQL Server Management Studio
  • PostgreSQL
  • MySQL
  • Data Factory
  • OneLake
  • Synapse Analytics
  • Real-Time Analytics
  • CI/CD (Azure DevOps, Git)


Project Management

  • Process Optimization
  • Project Management
  • Digital Transformation
  • Data Strategy Development


Soft Skills

  • Team Leadership
  • Strategic Thinking
  • Bird?s eye perspective


Finance

  • Financial Reporting
  • Budgeting and Forecasting
  • Variance Analysis
  • KPI Development
  • Financial Analysis
  • Reporting Automation
  • Business Decision Support


HIGHLIGHTS

  • Cloud Migration Efficiency: Spearheaded the migration of a company?s BI landscape to the cloud, achieving a 30% improvement in data processing efficiency and reducing operational costs by 25%.
  • Microsoft Fabric Implementation: Implemented Microsoft Fabric solutions, spanning Power BI, Data Factory, Warehouse and Lakehouse architecture and Real-time intelligence, resulting in streamlined reporting processes, increasing data accessibility by 40% and saving over 600 employee hours per month.
  • Integration Success: Led the seamless integration of BI landscapes for three acquired companies, unifying data systems and ensuring full compliance with GDPR and data governance standards.
  • Financial Reporting Automation: Designed and automated financial reporting systems with Power BI, cutting monthly reporting time by 50% and enhancing accuracy to support strategic decision-making.
  • Team Leadership and Development: Trained and mentored a team of six BI analysts and engineers, boosting productivity by 20% and improving responsiveness to business intelligence demands.

Programmiersprachen

DAX
Experte
M (Power Query)
Experte
SQL
Fortgeschritten

Datenbanken

Microsoft SQL Server
Fortgeschritten
Postgre SQL
Fortgeschritten
MySQL
Fortgeschritten

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

11 months
2023-11 - 2024-09

Rollout of Microsoft Fabric

Business Intelligence Developer and Data Strategist DAX Power Query Warehousing ...
Business Intelligence Developer and Data Strategist
  • Implemented Microsoft Fabric solutions, spanning Power BI, Data Factory, Warehouse and Lakehouse architecture and Real-time intelligence
  • Data Model Development: Responsibility for building and optimizing data models supporting business intelligence initiatives, ensuring scalability and efficiency to accommodate the growing needs of the business.
  • Report and Dashboard Creation: Development and maintenance of detailed reports and interactive dashboards, ensuring clear and accurate visualizations of key business metrics for informed decision-making by stakeholders.
  • Data Warehouse Setup: Advising and guiding teams in setting up Data Warehouse (DHW) solutions, ensuring alignment with business needs and optimization for easy data storage, accessibility, and performance.
  • DAX and M Query Utilization: Extensive use of DAX (Data Analysis Expressions) and M queries for creating sophisticated calculations and transformations, enhancing data processing and analysis across reports and dashboards.
  • Data Analysis: Analysis of large, complex datasets to uncover trends, patterns, and actionable insights that inform business strategies and drive operational improvements.
  • Stakeholder Collaboration: Regular collaboration with stakeholders across departments to understand their business needs, translating those requirements into effective BI solutions for tactical and strategic objectives.
  • Automated Reporting: Design and implementation of automated reporting processes that streamline data flow, reduce manual intervention, and improve efficiency and consistency in reporting.
  • Ad-hoc Analysis: Performance of ad-hoc analyses to answer specific business questions, providing timely and relevant insights to support key strategic initiatives and resolve operational challenges.
  • User Training and Support: Provision of training and ongoing support to end-users, ensuring proficiency in using BI tools and dashboards to drive performance and business outcomes.
MS Power BI Microsoft Fabric Azure Data Factory Azure Synapse Real-Time Analytics Azure Devops
DAX Power Query Warehousing Lakehouse Architecture Data Engineering SQL Data Strategy Development CI/CD Data Governance Dashboarding and Visualization
Cologne
1 year 3 months
2022-07 - 2023-09

Implementation of Power BI

Business Intelligence Developer Power Query DAX SQL ...
Business Intelligence Developer
  • Built scalable and efficient data models to support business intelligence initiatives.
  • Designed and maintained interactive dashboards and detailed reports for key metrics visualization.
  • Guided teams in setting up Data Warehouse solutions aligned with business needs.
  • Leveraged DAX and M queries for advanced data calculations and transformations.
  • Collaborated with stakeholders to translate business needs into effective BI solutions.
  • Streamlined data flow and reporting processes through automation.
  • Performed ad-hoc analyses to address specific business questions and strategic objectives.
  • Provided training and support to end-users for efficient use of BI tools and dashboards.
MS Power BI Dataflows Power Query MS Excel Tabular Editor DAX Studio
Power Query DAX SQL Dashboarding Data Warehousing
Cologne
4 years 5 months
2018-01 - 2022-05

Core Platform Rebuilding

TEAM LEAD BUSINESS INTELLIGENCE
TEAM LEAD BUSINESS INTELLIGENCE
  • Core Platform Rebuilding: Key role as an influencer during the company?s rebuilding of core platforms, ensuring alignment of business intelligence systems with evolving business objectives and technical requirements for greater efficiency and scalability.
  • Data Platform Solutions: Conceptualization and design of data platform solutions and infrastructure, providing a solid foundation for data operations and enabling seamless integration and accessibility across various business intelligence processes.
  • Data Privacy and Governance: Successful addressing of issues surrounding data privacy and governance through implementation of best practices, ensuring compliance with relevant data protection regulations, and maintaining the integrity and security of sensitive business data.
  • BI Strategy Development: Development and execution of business intelligence strategies aligned with the company?s long-term objectives, driving data-driven decision-making and delivering valuable insights across multiple business functions.
  • Cross-Functional Collaboration: Close collaboration with cross-functional teams, including IT, data engineers, and business stakeholders, ensuring BI solutions were designed and implemented to meet both technical specifications and business needs.
  • Data Integration and Automation: Management of the integration and automation of complex data processes, streamlining workflows, reducing manual intervention, and improving the speed and accuracy of data delivery across the organization.
  • Performance Monitoring: Continuous monitoring of the performance of business intelligence tools and systems, identification of opportunities for optimization, and implementation of improvements to enhance overall system efficiency and user experience.
  • Stakeholder Communication: Maintenance of effective communication with key stakeholders, presenting actionable insights and BI findings that directly influenced business decisions and informed the company?s strategic direction.
  • Team Leadership: Leadership of a team of six employees, providing ongoing guidance, mentorship, and performance management to ensure successful execution of BI projects while fostering a collaborative and high-performing team environment.
  • Reporting and Dashboard Oversight: Oversight of the creation and maintenance of detailed reports and interactive dashboards, ensuring accurate, real-time insights that helped stakeholders make informed, strategic decisions.
Learnship
Cologne
10 months
2017-03 - 2017-12

Project Management

BUSINESS INTELLIGENCE SPECIALIST
BUSINESS INTELLIGENCE SPECIALIST
  • Project Management: Comprehensive requirements gathering sessions and financial project management from initiation to completion, ensuring alignment of financial systems, processes, and tools with organizational goals and stakeholder needs.
  • Data Modeling for Analysis: Sophisticated data models for in-depth financial analysis, creation of tools and alert systems enabling the organization to monitor key financial metrics and make data-driven decisions.
  • Implementation of Power BI: Successful implementation of Power BI across the organization, integration into financial reporting processes to enhance data visualization, provide real-time insights, and improve decision-making capabilities.
  • Data Engineering / Data Warehousing: Development and maintenance of data engineering processes and data warehousing solutions, ensuring organization and accessibility of financial data optimized for efficient analysis.
  • Dashboarding: Creation and management of a variety of financial dashboards, providing clear, real-time visualizations of key metrics and performance indicators to help stakeholders make informed decisions.
  • Quality Assurance: Establishment and management of rigorous quality assurance  processes to ensure accuracy, integrity, and reliability of financial data, mitigating risks and ensuring compliance with industry standards.
  • Financial Reporting: Preparation and review of comprehensive monthly, quarterly, and annual financial reports, ensuring accuracy, regulatory compliance, and actionable insights for senior leadership decision-making.
  • Budgeting and Forecasting: Leadership of budgeting and forecasting efforts across departments, collaboration with department heads to develop accurate financial plans aligned with organizational objectives.
  • Compliance and Regulatory Adherence: Ensuring strict compliance with accounting standards, financial regulations, and internal policies, minimizing risks and guaranteeing adherence to legal and regulatory frameworks.
  • Financial Analysis and Advisory: Provision of detailed financial analysis and strategic advice to senior leadership, guiding key business decisions, optimizing financial performance, and enhancing resource allocation across departments.
Learnship
Cologne
1 year 8 months
2015-07 - 2017-02

Financial Reporting Systems Implementation

FINANCIAL CONTROLLER
FINANCIAL CONTROLLER
  • Financial Reporting Systems Implementation: Implementation of comprehensive financial reporting systems across the organization, ensuring consistency, accuracy, and timely delivery of financial information.
  • Reporting Software Deployment: Deployment of advanced reporting and consolidation software, streamlining the collection, consolidation, and presentation of financial information across various departments, improving reporting efficiency.
  • Monthly Reporting Management: Management of the monthly reporting process, preparation of detailed financial statements, and validation of transactions, reconciliations, and supporting documentation to ensure accuracy and compliance.
  • Finance Process Optimization: Analysis and optimization of finance department processes, identification of inefficiencies, and implementation of streamlined workflows, improving team productivity, reducing costs, and facilitating faster financial reporting and decision-making.
  • Budget and Forecast Automation: Development and automation of budgeting and forecasting processes, integration of real-time financial data and historical trends for more accurate financial plans, enabling better financial decisions.
  • Financial Analysis Oversight: Oversight of financial analysis efforts, monitoring key performance metrics, and analyzing financial trends, providing senior leadership with actionable insights supporting business strategy and performance improvements.
  • Regulatory Compliance Assurance: Assurance that all financial practices adhered to relevant regulatory standards, accounting principles, and corporate policies, mitigating compliance risks and maintaining the organization?s financial integrity.
  • Audit Supervision: Supervision of internal and external audits, preparation of financial documentation, and collaboration with auditors to ensure all audit requirements were met efficiently and within deadlines.
  • Cash Flow Management: Monitoring and management of the organization?s cash flow, ensuring adequate liquidity to meet operational needs, optimizing working capital, managing debt, and safeguarding financial stability.
  • Strategic Financial Advisory: Provision of strategic financial advisory services to senior management, offering insights derived from financial data, informing key business decisions, and supporting resource allocation and long-term corporate goals.
Picanova
Cologne

Aus- und Weiterbildung

Aus- und Weiterbildung

1 year
2014-09 - 2015-08

Finance

MASTER OF SCIENCE (MSC), Maastricht University, Maastricht, Netherlands
MASTER OF SCIENCE (MSC)
Maastricht University, Maastricht, Netherlands
4 years
2010-09 - 2014-08

International Business

BACHELOR OF SCIENCE (BSC), Hogeschool Zuyd, Maastricht, Netherlands
BACHELOR OF SCIENCE (BSC)
Hogeschool Zuyd, Maastricht, Netherlands

Position

Position

  • Currently I build scalable and efficient data models to support business intelligence initiatives.
  • Reponsible for designing and maintaining interactive dashboards and detailed reports for key metrics visualization.
  • Guiding teams in setting up Data Warehouse solutions aligned with business needs.
  • Leveraging DAX and M queries for advanced data calculations and transformations.
  • Analyzinng large datasets to uncover trends, patterns, and actionable insights.
  • Collaborating with stakeholders to translate business needs into effective BI solutions.
  • Streamlining data flow and reporting processes through automation.
  • Performing ad-hoc analyses to address specific business questions and strategic objectives.
  • Providing training and support to end-users for efficient use of BI tools and dashboards.

Kompetenzen

Kompetenzen

Top-Skills

MS Power BI Data Analyst Datawarehouse SQL Dashboard Data Modeling Azure

Schwerpunkte

Power BI
Experte
Power Query
Fortgeschritten
Data Warehousing
Fortgeschritten
Microsoft Fabric
Fortgeschritten
Dashboarding
Experte
Data Modeling
Experte
Azure Stack
Fortgeschritten
Microsoft Excel
Experte

Produkte / Standards / Erfahrungen / Methoden

SUMMARY

  • Achievement-focused and versatile Microsoft Fabric Ecosystem Strategist with a strong background in blending business intelligence tools with financial expertise to deliver actionable insights.
  • Experienced in leading cross-functional teams, integrating BI landscapes and ensuring data governance within the organization. Skilled in leveraging the unified analytics capabilities, including OneLake, Synapse Analytics and Power BI to interpret complex datasets and streamline processes.
  • Adept at translating business needs into analytical solutions, ensuring data integrity and supporting organizational goals.
  • Data Strategist, serving as the bridge between technical teams and various departments, enabling everyone to focus on their respective missions while leveraging data effectively.


Business Intelligence

  • Data Modeling
  • Data Warehousing
  • Data Integration
  • Dashboarding and Visualization
  • Data Governance
  • Cloud Migration
  • Lakehouse Architecture


Technical Skills

  • Microsoft Fabric
  • Power BI
  • DAX Studio
  • Tabular Editor
  • Microsoft Excel
  • SQL Server Management Studio
  • PostgreSQL
  • MySQL
  • Data Factory
  • OneLake
  • Synapse Analytics
  • Real-Time Analytics
  • CI/CD (Azure DevOps, Git)


Project Management

  • Process Optimization
  • Project Management
  • Digital Transformation
  • Data Strategy Development


Soft Skills

  • Team Leadership
  • Strategic Thinking
  • Bird?s eye perspective


Finance

  • Financial Reporting
  • Budgeting and Forecasting
  • Variance Analysis
  • KPI Development
  • Financial Analysis
  • Reporting Automation
  • Business Decision Support


HIGHLIGHTS

  • Cloud Migration Efficiency: Spearheaded the migration of a company?s BI landscape to the cloud, achieving a 30% improvement in data processing efficiency and reducing operational costs by 25%.
  • Microsoft Fabric Implementation: Implemented Microsoft Fabric solutions, spanning Power BI, Data Factory, Warehouse and Lakehouse architecture and Real-time intelligence, resulting in streamlined reporting processes, increasing data accessibility by 40% and saving over 600 employee hours per month.
  • Integration Success: Led the seamless integration of BI landscapes for three acquired companies, unifying data systems and ensuring full compliance with GDPR and data governance standards.
  • Financial Reporting Automation: Designed and automated financial reporting systems with Power BI, cutting monthly reporting time by 50% and enhancing accuracy to support strategic decision-making.
  • Team Leadership and Development: Trained and mentored a team of six BI analysts and engineers, boosting productivity by 20% and improving responsiveness to business intelligence demands.

Programmiersprachen

DAX
Experte
M (Power Query)
Experte
SQL
Fortgeschritten

Datenbanken

Microsoft SQL Server
Fortgeschritten
Postgre SQL
Fortgeschritten
MySQL
Fortgeschritten

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