Ana Arbulo

Data Analyst @Ebury

Boston, MA, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Oct 2025 — Present

Data Analyst @Ebury

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Madrid, ES

As a Data Analyst at Ebury, I bridge the gap between complex financial data and strategic action. I transform raw data from all parts of the Money Flows domain into compelling insights that drive stakeholder decision-making. My focus is on building scalable, self-service analytics and streamlining data processes to ensure high-accuracy reporting.Key Responsibilities:Developing and maintaining dashboards in Looker Studio Pro and Looker.Building robust analyses using SQL, Git, and dbt.Utilizing Python to manipulate data and model solutions for business requirements.Standardizing data procedures to meet tight deadlines with high attention to detail.Tools: SQL, Python, dbt, Git, Looker, Looker Studio Pro.

EDUCATION

2009 — 2015

Universidad Complutense de Madrid

Journalism, Periodismo

N/A

ICEX Campus

Master of Business Administration - MBA

N/A

Hult International Business School

Master of Science - MS, Business Analytics

ABOUT ANA ARBULO

After working as a Customer Service Analyst, I realized I wanted to learn more of the business world. Which I did by getting an MBA sponsored by the Spanish Ministry of Industry, Trade and Tourism. This launched my 3+ years’ experience in analytics. Now, inspired by an online Python class, I\'m shifting my career towards Tech, by getting a Master of Science in Business Analytics. This has given me the technical skills required of a Data Analyst.I am very passionate about Data Literacy - hence why I\'m always learning something new- and Project Management. Portfolio: https://github.com/aarbuloMicrosoft Office: Pivot Table | XLOOKUP and VLOOKUP | X LOOKUP and V LOOKUP | If statements | SUMIF and COUNTIF | Macros | Chart creation | Data analysis | data validation | advanced filtering | conditional formatting | Index and Match | Data modeling | PowerPivot | Power Query | PowerView | Power Bi | R / Python Integration | PowerPoint | ppt | Pivot Tables |SQL: JOIN | INNER JOIN | OUTER JOIN | LEFT JOIN | RIGHT JOIN | CROSS JOIN | UNION | INSERT | UPDATE | DELETE | CREATE | ALTER | INDEX | TRIGGER | STORED PROCEDURES | CURSOR | TRANSACTION | TEMPORARY TABLE | INDEX | NORMALIZATION | OPTIMIZATION | DDL | DML | DCL | Data warehousing | ETL | Bi | NoSQL | MySQL | SQL Server | Oracle | PostgreSQL | AWS | Agile | ScrumPython: Object-oriented programming (OOP)| Functions, Classes | Modules | Packages | Data structures (lists, dictionaries, sets, tuple)| Control flow (if, else, for loop, while loop)| Exception handling | File I/O | Regular expressions | Numpy | Pandas | Matplotlib | seaborn | Jupyter Notebook | Machine Learning | Data analysis | Data visualization | Data science |Tableau: Dashboard | Calculated Fields | Map | pie chart | bar graph | data source | Worksheet

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