Description

I help companies turn messy data into clear decisions — through Power BI dashboards, automated reporting pipelines, and AI-powered workflows.

With 5+ years of experience in data analytics and business intelligence, I specialize in building end-to-end solutions: from SAP-connected Power BI reports and P&L dashboards to n8n automation workflows and AI integrations. I've built finance and marketing dashboards used by international teams at companies like Epson, and I bring that same structured, business-first thinking to every freelance project.

What I typically help with:

Power BI dashboard design & DAX development

Data automation with n8n, Power Automate, and Make

Marketing & finance reporting (revenue, A&P, P&L)

AI workflow integrations for business processes

I work fast, communicate clearly, and deliver solutions that your team can actually maintain. Based in the Netherlands, available for only remote projects.

Industry field of expertise

Languages

English
Native or bilingual
Dutch
Conversational
Urdu
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Epson BV
Data Solutions Specialist
DIGITAL AND IT
September 2025 - Today (10 months)
Amsterdam, Netherlands
• Independently built and automated financial reporting workflows using Power BI, transforming time-consuming manual processes into reliable, real-time dashboards for the Finance department.
• Developed and maintained data pipelines by leveraging SAP BW and SQL to ensure accurate, consistent data flow across financial reports, significantly reducing data errors.
• Engineered Power Automate flows to eliminate repetitive finance tasks, freeing up the team to focus on higher-value analysis and decision-making.
• Introduced and embedded tools like Power BI and Copilot across the Finance team, translating complex technology into practical, accessible solutions for non-technical colleagues.
• Acted as the go-to problem solver for data and automation challenges, independently identifying inefficiencies and designing end-to-end solutions that improved reporting accuracy and operational efficiency.
SQL Microsoft Power BI Data analysis artificial intelligence
Wittenborg University
Data Analyst
EDUCATION AND E-LEARNING
June 2022 - September 2025 (3 years and 3 months)
Amsterdam, Netherlands
•Utilized SQL and Excel to analyze student data across Bachelor’s and Master’s programs, monitoring key metrics such as enrollment, retention, and graduation rates.
• Compiled and analyzed quarterly performance reports, evaluating student demographics, program effectiveness, and institutional KPIs to support data-driven decision-making.
• Designed interactive Power BI dashboards to visualize enrollment trends, student demographics, and faculty allocation, enabling stakeholders to easily interpret complex data.
• Conducted data modeling using the ACADEM reporting system to enhance institutional performance tracking and reporting accuracy.
• Partnered with IT, marketing, and sales departments to streamline database management systems and improve reporting tools, enhancing operational efficiency.
• Developed weekly dashboards for Key Performance Indicators (KPIs) using advanced visualization tools like Power BI & Excel, effectively presenting data-driven insights to senior management to guide strategic decisions.
• Strategically planning resource savings and efficiency improvements, utilizing predictive analytics and operational research to enhance university resource efficiency by up to 20%, significantly reducing costs and improving resource allocation.
•Leveraged data analysis (Scientia, Osiris, Excel) to optimize course scheduling and resource allocation for students and faculty across 3 campuses (Amsterdam, Apeldoorn, Munich)
•Data-Driven Problem Solver for academic operations. Analyzed staff, student, management, software, and data issues, leveraging data insights to develop solutions that improved resource efficiency by 15% and ensured a smooth academic experience across 3 campuses.
SQL Microsoft Power BI Data visualization
HappyPrinting
Marketing Analyst
E-COMMERCE
June 2020 - August 2021 (1 year and 2 months)
Utrecht, Netherlands
Spearheaded channel program development through A/B testing and experimentation, implementing key product features based on data insights to optimize marketing effectiveness.
•Expanded reach through targeted Google Ads campaigns in Mexico, New Zealand, Georgia, UK, and Japan.
•Developed and executed multi-channel marketing strategies, utilizing Facebook Ads, email marketing via Mailchimp, and web analytics tools (Hotjar) to drive customer engagement and sales across Happy Printing's webshops.
•Empowered future marketing leaders by training new interns and providing them with comprehensive guidance on marketing management principles at Happy Printing.
•Championed collaborative marketing efforts across Happy Printing franchises in Bulgaria, Philippines, New Zealand, Georgia, UK, Japan, and Mexico, ensuring synchronized campaigns and brand consistency.
Google AdWords Google Analytics E-mail Marketing Mailchimp Data analysis

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Waleed J.

Data Specialist

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