Alexandros Siormpas, Management Consultant in Amsterdam, Netherlands
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Alexandros Siormpas

Verified Expert  in Management Consulting

Management Consulting Expert

Amsterdam, Netherlands

Toptal member since December 15, 2016

Expertise
Pricing AnalysisMarket SizingFP&AFinancial ModelingM&ABusiness ModelingPortfolio ManagementBudgeting ConsultingFinancial ReportingPricing
Bio

Alex is a highly committed and results-driven pricing professional with a track record of significant top and bottom-line impact across Tier 1 eCommerce, marketplaces, and consumer goods businesses (Samsung, Philips, and eBay). He now freelances to contribute his 10+ years of deep expertise in engaging and challenging pricing and financial modeling projects.

Career Highlights

Principal Pricing Analyst
StorioGroup
Pricing Manager
eBay
Commercial Analytics Manager
Philips

Education Highlights

Master of Business Administration Degree (MBA)
Vrije Universiteit Amsterdam
Master's Degree
Aristotle University of Thessaloniki

Certification Highlights

Distribution, Market Power and Investigations
Baker McKenzie

Case Studies

Expertise

  • Artificial Intelligence (AI)
  • Data Science
  • Market Research & Analysis
  • Price Analysis
  • Pricing
  • Pricing Models
  • Pricing Strategy
  • SaaS

Work Experience

Principal Pricing Analyst

2022 - PRESENT
StorioGroup
  • Led the post-merger pricing integration strategy for the Storio Group (Albelli and Photobox merger), shaping a unified pricing approach across 14 brands.
  • Defined and executed brand and tech consolidation, driving a streamlined pricing framework that enhanced consistency and operational efficiency.
  • Integrated Albelli's pricing algorithms across the merged tech stack, unlocking €24.7 million in annual profit contribution.
  • Consolidated three pricing platforms into one, improving operational scalability and reducing complexity in pricing analytics.
  • Pioneered AI-driven competitive intelligence by leveraging Amazon BedRock, automating the scraping of competitor promotions and discount data.
  • Developed and launched personalized ML-driven discounting, generating an additional €4.3 million per year.
  • Expanded pricing algorithms to revenue and volume forecasting, achieving 99.1% accuracy with an advanced ML tech stack, improving financial planning.
  • Collaborated with cross-functional teams, including business managers, product owners, marketing, engineering, data, and legal, across seven hubs.
  • Established and led the monthly pricing governance committee with CEO, CFO, CMO, and CTO, ensuring strategic alignment of pricing strategy and technology.
Focus areas: Pricing, Algorithms, Artificial Intelligence (AI), Pricing Strategy, Market Sizing, Price Analysis, Financial Modeling, Market Research, SaaS, Mergers & Acquisitions (M&A), Financial Planning & Analysis (FP&A), Forecasting, Analytics, Monetization, Data Analysis, Strategy, SWOT Analysis, Price Sensitivity, R, Python, Neural Networks, Data Science, Monte Carlo Simulations, EMEA, Google Slides, Google Sheets, United States, United Kingdom, Startups

Senior Pricing Analyst

2019 - 2022
Albelli
  • Delivered €6.7 million incremental P&L impact by optimizing 6,500+ price points across multiple brands.
  • Led end-to-end pricing data product lifecycle, from business requirements to deployment, ensuring robust and scalable solutions.
  • Developed AI-based pricing algorithms leveraging R, Python, and SQL, optimizing price elasticity and revenue growth.
  • Trained neural networks with reinforcement learning, balancing exploration-exploitation trade-offs in dynamic pricing.
  • Redesigned pricing data feeds, enabling closed-loop pricing automation across internal platforms.
  • Optimized CRM and website retention campaigns using multi-armed bandit experiments.
  • Enhanced acquisition promotions in paid channels (SEA/Facebook) with non-linear regression models.
  • Automated A/B/n testing analyses via R/Python, reducing manual effort and improving decision speed.
  • Developed a state-of-the-art revenue forecasting engine, achieving 99.1% accuracy (TBATS, ETS, NNETAR, ARIMA, STLM).
  • Partnered cross-functionally with business owners, product managers, software engineers, marketing, and legal to drive pricing innovation.
Focus areas: Algorithms, Machine Learning, Artificial Intelligence (AI), Pricing Models, Pricing, Data Science, Price Analysis, P&L Forecasting, Forecasting, Regression Modeling, Netherlands, Microsoft PowerPoint, SaaS, Pricing Strategy, Microsoft Excel, Market Research & Analysis, Business Planning, Business Strategy, Monetization, Market Sizing, Financial Modeling, Market Research, Financial Planning & Analysis (FP&A), Analytics, Data Analysis, Strategy, SWOT Analysis, Price Sensitivity, R, Python, Neural Networks, Monte Carlo Simulations, EMEA, Google Slides, Google Sheets, United States, United Kingdom, Startups

Pricing Manager

2017 - 2019
eBay
  • Led a cross-functional pricing transformation, partnering with business development, data science, product, engineering, marketing, finance, and legal.
  • Managed and optimized 20,500+ price points using prescriptive analytics, A/B testing, and multi-armed bandit experiments.
  • Designed AI-driven pricing models in R, incorporating supervised learning, nonlinear regression, and stochastic simulation.
  • Drove 21.2+% revenue growth (€6.1+ million per year) through pricing initiatives.
  • Launched a Freemium pricing model, boosting revenue by €3.8 million annually.
  • Increased GMV take-rate by 1.2%, countering the entrance of Facebook Marketplace.
  • Expanded customer base by 24.7% through targeted promotions and improved product adoption by 13.4% using cross-elasticity pricing optimization.
  • Introduced dynamic price-drop communications via push notifications on iOS and Android apps.
  • Implemented multi-objective optimization, balancing monetization, market share, and customer acquisition. Reduced financial risk in pricing strategy through Monte Carlo simulations.
  • Developed predictive revenue models based on exponential smoothing and deseasonalized time series, achieving a 0.86% error rate.
Focus areas: Pricing Strategy, Profitability Analysis, Market Research, Pricing, Data Science, P&L Forecasting, Forecasting, Regression Modeling, Netherlands, Microsoft PowerPoint, SaaS, Microsoft Excel, Pricing Models, Market Research & Analysis, Price Analysis, Business Planning, Business Strategy, Monetization, Market Sizing, Financial Modeling, Financial Planning & Analysis (FP&A), Algorithms, Artificial Intelligence (AI), Analytics, Data Analysis, Strategy, SWOT Analysis, Price Sensitivity, R, Python, Monte Carlo Simulations, EMEA, Google Slides, Google Sheets, United States, United Kingdom, Middle East

Commercial Analytics Manager

2014 - 2017
Philips
  • Led pricing, business, and market analysis for a €900 million business, providing key insights to managing directors and VP commercial.
  • Designed go-to-market strategies for expansion in the Middle East and Africa, driving market penetration.
  • Optimized P&L through cost-to-serve analysis, increasing EBITDA by 3.1+%.
  • Enhanced GM percentage by 10.8% through price elasticity and pocket-price waterfall modeling.
  • Developed a product portfolio roadmap, aligning pricing strategies with market demand.
  • Implemented customer lifetime value and ROI analysis, strengthening data-driven marketing.
  • Boosted channel profitability by 9.4%, optimizing product mix through cross-channel pricing strategies.
  • Conducted competitive benchmarking against LG, Sony, Samsung, and new market entrants.
  • Led due diligence for multi-brand portfolio creation, ensuring strong commercial viability.
  • Delivered high-impact executive presentations for internal quarterly business reviews.
Focus areas: Business Planning, Budgeting, Customer Lifetime Value (CLV), Price Analysis, Profitability Analysis, P&L Forecasting, Forecasting, Regression Modeling, Netherlands, Microsoft PowerPoint, Pricing Strategy, Pricing, Microsoft Excel, Pricing Models, Market Research & Analysis, Business Strategy, Monetization, Market Sizing, Financial Modeling, Market Research, Financial Planning & Analysis (FP&A), Algorithms, Analytics, Data Analysis, Strategy, SWOT Analysis, Price Sensitivity, R, Python, Pocket Price Waterfall Analysis, SaaS, Data Science, Monte Carlo Simulations, EMEA, Google Slides, Google Sheets, United States, United Kingdom, Middle East

Market Intelligence Analyst

2013 - 2014
Samsung European HQ
  • Delivered strategic market insights for smartphones, tablets, and wearables across the EU.
  • Benchmarked Samsung’s portfolio against competitors, identifying key market opportunities.
  • Enabled Samsung to surpass Apple as the number one tablet brand in the EU through market intelligence and pricing analysis.
  • Shaped go-to-market strategies for new business segments (B2B, IoT), supporting growth initiatives.
  • Developed an innovative KPI dashboard endorsed by the EU executive team for real-time decision-making.
  • Collaborated with country offices and Korea HQ, ensuring strategic alignment of regional and global product and pricing strategies.
Focus areas: Portfolio Analysis, Data Analysis, Price Analysis, Market Research, P&L Forecasting, Forecasting, Regression Modeling, Microsoft PowerPoint, SaaS, Pricing Strategy, Pricing, Microsoft Excel, Pricing Models, Market Research & Analysis, Business Planning, Business Strategy, Market Sizing, Financial Modeling, Financial Planning & Analysis (FP&A), Algorithms, Analytics, Monetization, Strategy, SWOT Analysis, Price Sensitivity, R, Python, Data Science, Monte Carlo Simulations, EMEA, Google Slides, Google Sheets, United States, United Kingdom, Middle East

MBA Intern

2013 - 2013
Philips
  • Generated monthly sales and market share reports for all European countries.
  • Supported commercial strategy development, including pricing, benchmarking, and competition.
  • Proactively restructured reporting processes, improving efficiency by 36%.
Focus areas: Market Research, Price Analysis, Financial Reporting, Regression Modeling, Netherlands, Microsoft PowerPoint, Pricing Strategy, Pricing, Microsoft Excel, Pricing Models, Market Research & Analysis, Business Planning, Business Strategy, Market Sizing, Financial Modeling, SaaS, Financial Planning & Analysis (FP&A), Forecasting, Analytics, Monetization, Data Analysis, Strategy, SWOT Analysis, Price Sensitivity, R, Python, Data Science, Monte Carlo Simulations, EMEA, Google Slides, Google Sheets, United Kingdom, Middle East

Education

2012 - 2013

Master of Business Administration Degree (MBA) in Business Administration

Vrije Universiteit Amsterdam - Amsterdam, The Netherlands

2005 - 2010

Master's Degree in Engineering

Aristotle University of Thessaloniki - Thessaloniki, Greece

Certifications

SEPTEMBER 2016 - PRESENT

Distribution, Market Power and Investigations

Baker McKenzie

Skills

Finance

Data Analysis, Revenue Optimization, Forecasting, P&L Forecasting, Pricing, Pricing Strategy, Ratio Analysis, Profitability Analysis, Price Analysis, Financial Planning & Analysis (FP&A), Financial Modeling, Market Research, Mergers & Acquisitions (M&A), Discounted Cash Flow (DCF), Customer Lifetime Value (CLV), Budgeting, Portfolio Analysis, Financial Reporting

Output Software

Microsoft PowerPoint, Microsoft Excel, Google Slides, Google Sheets

Data & Analysis Software

R, SQL, Looker

Industry Expertise

Consumer Products, Telecommunications, Retail & Wholesale

Geographic Expertise

EMEA, Netherlands, United States, United Kingdom, Middle East

Other

Business Planning, Artificial Intelligence (AI), Algorithms, Price Sensitivity, SWOT Analysis, Strategy, Regression Modeling, Pricing Models, Optimization, Monte Carlo Simulations, Pro Forma Analysis, Competitor Analysis & Profiling, Market Research & Analysis, Pocket Price Waterfall Analysis, Customer Analysis, Cost to Serve Analysis, Market Sizing, Python, SaaS, Machine Learning, Neural Networks, Random Forest Regression, Data Science, Analytics, Business Strategy, Monetization, Startups, Business Models, Break-even Analysis, Portfolio Management, Customer Segmentation, Strategic Planning & Execution, Benchmarking, Industry Analysis, Product Strategy, Competitive Intelligence, Business Modeling, Google Analytics, Pitch Decks, Adobe Analytics, Snowflake

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