Description

In this role, you will work closely with various teams to turn business questions into actionable insights through data analysis. Your day-to-day responsibilities will involve analyzing trends, improving KPIs, and providing recommendations that drive informed decision-making.

Requirements

• •4+ years of relevant work experience
• •Proficiency in SQL, Python, and Tableau
• •Knowledge in R, Jupyter, or similar languages
• •Strong understanding of databases, data modelling, and data integration
• •Excellent analytical and problem-solving skills
• •Strong communication and presentation abilities
• •Familiarity with git, docker, or dbt
• •Background or familiarity in Data Science projects
• •Experience in the AdTech industry or in mobile app analytics

Tasks

• •Collaborate with stakeholders to translate business questions into analytical solutions
• •Analyze data using statistical methods and visualization to identify trends, risks, and opportunities
• •Define, track, and improve KPIs aligned with business objectives
• •Provide clear, data-driven recommendations to support decision-making
• •Suggest and evaluate product and business experiments
• •Ensure data availability, quality, and effective usage across teams
• •Contribute to the design and maintenance of analytical data models with the Analytics Engineer
• •Support ETL processes and data transformations for analysis
• •Perform ad-hoc analyses with a focus on accuracy and relevance
• •Contribute to improving team workflows, tools, and analytical processes
• •Mentor junior team members as needed

Tools & Technologies

Benefits