Career · Recommendations · Education

Matteo Arellano's career, recommendations and education.

I graduated from Rotterdam School of Management in 2018 and moved from European banking and financial risk into global analytics, data engineering, technical SEO, AI visibility, and conversion work. This page brings that journey together in one place.

01 · Career timeline

From financial risk to data-driven website growth

The timeline shows how each stage added a new layer: finance, risk, business intelligence, data engineering, machine learning, growth, technical SEO, and conversion.

  1. 2025-present Mexico, working globally

    Lead SEO & Growth Manager

    Systems Search Studio

    I moved fully into technical SEO, growth analytics, AI visibility, conversion, and website performance. My work includes payment acceptance analysis, event tracking, BigQuery and Amplitude analysis, Google Analytics 4, Google Ads, technical SEO, automation, and custom tools.

    • Technical SEO
    • AI visibility
    • CRO
    • GA4
    • BigQuery
    • Amplitude
    • Payment analytics
  2. 2024-2025 Utrecht, Netherlands

    Financial Analytics Engineer

    PIA Group Nederland

    I built financial and operational reporting for directors, created more than 30 analytical models, developed bronze, silver, and gold data layers with dbt and SQL, and designed internal controls to identify anomalies and balancing issues.

    • Financial reporting
    • dbt
    • SQL
    • Internal controls
    • Data modelling
  3. 2023-2024 Mexico City, Mexico

    Global Financial Analytics Engineer

    Cargill

    I supported global finance reporting across food, agriculture, energy trading, and specialised portfolios. I developed financial APIs and data pipelines, worked on machine-learning anomaly detection, and reduced cloud processing costs by around 90% through faster data technologies.

    • Python
    • Polars
    • AWS
    • Hadoop
    • Machine learning
    • Financial APIs
  4. 2022 Amsterdam, Netherlands

    Financial Analytics Engineer

    Cargill

    I worked on trading-position risk management, forecasting, Power BI models, Impala data structures, and scheduled Hadoop workflows for accounting and financial reconciliation.

    • Power BI
    • Forecasting
    • Impala
    • Hadoop
    • Risk analytics
  5. 2020-2022 Schiphol and Amsterdam, Netherlands

    Finance, management information and data analytics

    Cargill

    I started in financial management and moved into business intelligence and data engineering. I built ETL pipelines, reporting models, and data flows for cocoa, chocolate, bioindustrials, and agricultural supply-chain teams.

    • Finance
    • ETL
    • Power Query
    • DAX
    • Business intelligence
    • Supply chain
  6. 2018-2019 Luxembourg

    Risk, restructuring and financial analysis

    European Investment Fund and European Investment Bank

    After graduating, I worked in European banking on operational risk, key risk indicators, distressed transactions, debt repayment analysis, insolvency research, company fundamentals, and credit analysis.

    • Operational risk
    • Credit analysis
    • Restructuring
    • Financial modelling
  7. 2018 Rotterdam, Netherlands

    Graduated cum laude

    Rotterdam School of Management, Erasmus University

    I completed my Master of Science in Business Administration, specialising in Accounting and Financial Management. This was the point where my career moved from academic finance into applied risk, analytics, data engineering, and later website growth.

    • Accounting
    • Financial management
    • Business administration
    • Research
02 · Recommendations

What colleagues say about working with me

These recommendations come from people who worked with me across growth, finance, analytics, data engineering, Python, machine learning, and complex business projects.

LinkedIn

Matteo has outstanding skills in data and analytics, with expertise in Python. We both work on an ML project where we build, train, test, and deploy statistical models in production, continuously improving model performance and make a significant impact on your project. He is an excellent Python trainer and has strong problem-solving skills, which he applies to tackle complex business challenges. Matteo has great potential, and I am grateful to work with him.

Shalini Kanojia Senior Finance and Data Analytics Engineer Worked with Matteo on the same team
LinkedIn

Matteo has been a great person to work with who always endeavors to drive new innovations and get into the "Why" of a question. I have worked with him on multiple deployments, and its always a learning experience with him.

Abhishek Agarwal Finance Strategy at Deloitte | Risk Management at ICICI Bank | IIM Shillong | Rotary International Youth Leader Awardee Worked with Matteo on the same team
LinkedIn

I had the opportunity to work with Matteo in a Cargill project where we were facing a big challenge to deliver a report for the Government of Argentina, before his involvement many teams tried different solutions, however it was Matteo who was able to provide the best solution that would fit the expectations and comply with the different regulations. Matteo's skills go beyond technical capabilities in Python and data analysis: he is an excellent problem solver, he is proactive, a good communicator, he is a change leader and a technology evangelist. In my 9 years working in Cargill I can say that is one of the top 10 professionals with I had work here.

Jose Laguna Consultant / Senior Data Analyst / Senior Data Analyst / BI Lead / BI Coach / M&E Specialist Worked with Matteo in different teams
LinkedIn

I had the pleasure of working with Matteo when I first joined Cargill, and he was instrumental in helping me understand the intricacies of the business. His expertise spans both data-related topics and corporate finance, making him a well-rounded professional. Matteo is a quick learner and an excellent teacher, able to convey complex concepts clearly and deliver sustainable solutions that drive meaningful business growth.

Lucas Zarpellon Data Science | Advanced Analytics | Power BI | Python | AI Worked with Matteo in different teams
LinkedIn

I'd like to express my sincere appreciation for Matteo as a phenomenal Python developer and an indispensable partner in our projects. His deep expertise and unwavering support have been instrumental in delivering successful outcomes time and again. He consistently goes above and beyond, stepping in whenever our team faces challenges, and his problem-solving skills are second to none.

Working closely with him has not only been productive but also incredibly enriching. His ability to translate complex requirements into efficient solutions is truly commendable, making him a linchpin in our collaborative efforts. I feel fortunate to have such a dedicated and talented colleague on our team.

Our collaboration has been incredibly productive, thanks to his dedication and expertise. It's truly a privilege to work alongside someone who not only excels in their role but also contributes positively to the team dynamic. Here's to many more successful projects together!

Sagar Makhija Data Scientist || Associate Director at Deloitte || Ex Capgemini & Accenture Worked with Matteo across different companies
LinkedIn

Matteo and i had the oppourtinity to work together on a ML project where we came up with the entire model production, from sourcing data from a distributed platform (Hadoop), training the data on aws and piping it back to Hadoop with model results. It was an unsupervised ML model on anamoly detection applied in financial transactions. He is highly aware of different work cultures and excels in collaboration. He is ambitious and thrives working on core business problem. He has great potential and will always be an asset to his team.

Amrita Nandy Senior Analytics Engineer, Cargill Worked with Matteo in different teams
LinkedIn

Matteo's data and technical skills are really outstanding! It's been an honour to have his support in solving data science & engineering related problems. With a deep understanding of coding concepts and architectural data structure, Matteo has been abreast of latest resources in Python and SQL, including internal coding ecosystem on Hadoop. He's a great professional and poses solid skills in Machine Learning and statistical concepts since the basics to the most advanced topics, without loosing the capacity to share his knowledges and goals in a clear and concise way! I'm grateful to work with him!

Pedro P. Mendes Data Science | Quantitative Finance | Data Engineering Worked with Matteo in different teams
LinkedIn

Matteo's technical expertise and his analytical skills solved a problem that has been long lingering in our backlog, which was thought to be currently unsolvable. Exchanging knowledge, creating solutions and understanding the issues make him a great pair in the engineering process, alongside with his great personality. I'm thrilled to work side by side with him.

Nikolay Andonov Senior Analytics Engineer Held a more senior role, without directly supervising Matteo
LinkedIn

Good to have your support in our optimizing process! Beside the technical skills that you already have on understanding data analysis, your eagerness to learn more and more, really appreciate to share your knowledge with me always enthusiastically and positive attitude. Thanks a lot!

Gizem ÜNLÜ Senior Demand Planner Professional recommendation

The recommendation text is reproduced from the original LinkedIn recommendations.

View my LinkedIn profile
Verified feedback

Reviews collected directly through Senja

Additional feedback shared by people who have worked with me on analytics, growth, SEO, data, and technical projects.

03 · University diplomas

Formal education in business, accounting and finance

My university education gave me the financial and business foundation that later shaped my work in analytics, engineering, technical SEO, and growth.

2018 Cum laude

Master of Science in Business Administration

Accounting and Financial Management

Rotterdam School of Management, Erasmus University

Graduate degree focused on accounting, financial management, business analysis, and evidence-based decision-making.

2017 Completed

Bachelor of Science in International Business Administration

International Business Administration

Rotterdam School of Management, Erasmus University

Undergraduate degree covering finance, strategy, operations, international management, and organisational decision-making.

04 · Other studies

Continued learning in data, economics, finance and technology

These studies sit between formal education and applied work. They helped me build the technical range that now connects business questions with code, data, search, and website performance.

Data science programme 2021

Data Scientist Track

Dataquest

A structured programme in Python, data processing, statistics, data analysis, and applied data science completed from March to December 2021.

  • Python
  • Data processing
  • Statistics
  • Data analysis
Intensive university course 2016

China's Economic Growth, Foreign Trade and Investment

LSE-PKU Summer School at Peking University

Completed the EC205 intensive course in Beijing and received a grade of A.

  • International economics
  • Economic growth
  • Trade
  • Investment
University course 2016-2017

Financial Analysis

Graduate School of Management, St. Petersburg State University

Completed a 45-hour financial analysis course. The accompanying academic recommendation highlighted analytical ability, attention to detail, teamwork, facilitation, and curiosity about the financial sector.

  • Financial analysis
  • Teamwork
  • Analytical thinking
Intensive university course 2015

Human Resource Management and Employment Relations

The London School of Economics and Political Science

Completed the MG190 LSE Summer School course and received a grade of A.

  • Human resources
  • Employment relations
  • Management
  • Organisations
Technical certifications

Focused courses completed alongside my work

Shorter courses helped me deepen specific skills in machine learning, finance, data modelling, software environments, and computer science.

  • Linear Regression for Machine Learning
  • Intro to Python for Finance
  • Data Modelling for Power BI
  • Docker Training for the Absolute Beginner
  • Recursion and Trees
Credentials and collaboration

If you want to work together, I am happy to share the credentials mentioned here.

Tell me what you are working on and which background or credential is relevant. I can share the supporting material directly and explain how the experience connects to your project.