Marcel Wiechmann

Marcel is a Data School Consultant combining business intelligence expertise with analytical rigor. With a Ph.D. in Psychology and over eight years in statistical consulting, he brings a research-grounded approach to practical business analytics—translating complex requirements into clear, actionable insights.

Marcel delivers end-to-end analytics solutions from data preparation through to interactive dashboards. He excels at identifying business needs, designing solutions collaboratively with stakeholders, and translating complex requirements into clear, actionable insights. His approach balances technical depth with user accessibility, making data work for decision-makers at all organizational levels.

Client Placements

Financial Services Client (Healthcare Sector)

December 2024 - Present

Working on operational analytics and business intelligence for specialized financial services provider. Focus on dashboard development, process optimization, and data quality improvement.

Key Projects:

  • Resource Planning & Capacity Analysis: Designed and implemented dashboard with complex multi-source data integration and advanced filtering & highlighting logic, enabling scenario-based capacity planning for operations teams.

  • Compliance Monitoring System: Proactively identified operational tracking need and collaborated with management to design dashboard solution for monitoring workflow categorization, improving process visibility across teams.

  • Performance Optimization: Optimized company's most-used production dashboard, reducing load times for typical use cases from 37 seconds to 6 seconds through strategic data pipeline refactoring.

Technical Skills

  • Data Visualisation & Reporting: Tableau, Power BI

  • Data Preparation & Automation: Alteryx, Tableau Prep, SQL

  • Statistical Analysis & Methods: regression analysis, factor analysis, structural equation modelling (SEM), multilevel modelling, latent class analysis, survey analytics

  • Statistical Software: SPSS, MPlus

  • Programming (basic proficiency): Python, R

Key Competencies

  • Dashboard Design & Data Storytelling

  • Clear Communication of Complex Concepts

  • Requirements Gathering & User Story Development

  • Advanced Statistical Analysis & Research Methodology

  • Workshop Facilitation & Statistical Training

Short-Term Projects

  • HR Analytics (Food & Retail Industry): Recruitment channel effectiveness dashboard

  • Market Basket Analytics (E-Commerce Industry): Led team as project manager developing product co-occurrence dashboard

  • Complaint Management Analytics (Financial Services Industry): Interactive complaint tracking with branch-level analytics

  • Digital Marketing Performance Analytics: Period-over-period campaign comparison

  • Sales & Campaign Analytics: Lead performance across marketing channels

Before Data School

  • Completed Ph.D. in Political Psychology (extensive quantitative research and statistical analysis)

  • Delivered workshops and training courses in advanced statistical analysis and research methodology

  • Conducted statistical consulting projects for academic and business clients—e.g., clustering analysis, market segmentation, survey analytics, and process optimisation

Certifications

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