Responsibilities:

• Dive deep into large business datasets to uncover valuable insights that can be turned into actionable hypotheses.

• Design and develop reports/visualizations.

• Create automated analytical solutions using programming skills that provide models from raw data and implement the logic of KPIs.

• Perform proactive investigations of data sources to discover new trends, opportunities, or problems.

• Present data in a way that is understandable to those with limited data knowledge or experience.

• Write queries to produce data sets answering requests as accurately and completely as possible—this includes evaluating available data, formatting, cleaning, and validating data

Requirements:

• Bachelor or master's degree in Statistics, Mathematics, Econometrics, Business Analytics, Computer Science or any related field of study.

• At least 2 years experience in the related field.

• Experience building reports on BI tools like Tableau, PowerBI .

• Excellent oral and written communication skills; Ability to clearly explain concepts and actionable insights

• High proficiency with MS Excel and ability to analyze large data sets, ability to collect and review data in complex spreadsheets.

• A curious person that gets motivated by solving data challenges, understanding customer behavior, and exploring the complexity of digital payment data.

• Excellent problem-solving skills and attention to detail.

• Experience in Python and most common data manipulation and data science packages (e.g. Pandas, Numpy, SKLearn, …)