Create diagnostics and monitoring dashboards that guide performance and business decisions.
Perform complex data analyses and interpret results for B2B business teams, Customer Service, Sales, and B2B clients.
Integrate into working groups and client squads, providing insights and recommendations and supporting decisions with data.
Conduct exploratory data analysis to identify patterns, trends, and business-relevant insights.
Extract, clean, and transform data from various sources for analysis.

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Engineering, or a related field.
Advanced knowledge of Excel.
Proven experience with data visualization tools, preferably Power BI and Looker.
Strong ability to write SQL queries for data analysis.
Experience using Python for data analysis (data cleaning, automation of analyses, exploration, and data manipulation).
Knowledge of statistics applied to data analysis.
Experience with exploratory data analysis and pattern identification.
Ability to communicate results effectively to diverse audiences.
Skill in translating technical analyses into business recommendations.
Analytical mindset and solution-oriented thinking.
Enthusiasm for AI and innovation, with initiative to explore new technologies and apply them to data analysis and insight generation.
Proactive attitude and ability to work collaboratively in a team.

Flexible working arrangements
Support in promoting a data-driven culture and analytical development across multiple areas
Training and support for internal users on the use of dashboards and BI tools

Data Analyst III

Key skills