Dive deep into large business datasets to uncover valuable insights that can be turned into actionable hypotheses.
Design and develop reports/visualizations using Tableau.
Create automated analytical solutions using programming skills that provide models from raw data and implement the logic of KPIs.
Proactively investigate data sources to discover new trends, opportunities, or problems.
Present data in an understandable way to those with limited data knowledge or experience.
Write queries to produce data sets answering requests as accurately and completely as possible, including evaluating available data, formatting, cleaning, and validating data.
Requirements:
Bachelor's or Master's degree in Statistics, Mathematics, Econometrics, Business Analytics, Computer Science, Computer Engineering, or any related field.
At least 5 years experience in the related field.
Experience providing reports on BI tools like Tableau, and Power BI.
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 who 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, etc.) is a must.