Senior Data Analyst

Role Overview

The Senior Data Analyst will own the semantic layer of the data platform, design and build the semantic model, and contribute to data governance. The role requires collaboration with key business stakeholders to develop impactful analytics solutions.

What You Will Do

Key responsibilities include designing and building the semantic model, owning business metric definitions, contributing to data governance, running diagnostic analyses, building predictive analyses, and delivering reporting and visualizations.

Why It Might Be a Fit

The ideal candidate will have a master’s degree in computer science, engineering, statistics, or a related field, and at least 3 years of experience in data analytics or related fields. The candidate should have advanced SQL skills, experience with dbt, and a strong background in data modelling.

Requirements

• Master’s degree in computer science, Engineering, Statistics, IT, or related field
• At least 3 years of experience in data analytics, analytics engineering, or related fields
• Advanced SQL, and hands-on production experience with dbt
• Strong background in data modelling: dimensional modelling, semantic layers, metric definitions
• Comfortable with Python for statistical and predictive work
• Experience with data governance practices (documentation, ownership, data quality)
• Working knowledge of cloud-based data platforms, preferably Azure Databricks, and of a visualization tool (e.g. Microsoft Power BI)
• Analytical mindset with strong problem-solving aptitude, and a high standard of rigor and precision
• Excellent communication and teamwork abilities, with technical and non-technical stakeholders alike
• Proactive and entrepreneurial, you are embracing challenges with enthusiasm
• Fluent in English, both written and spoken

Benefits

• Grow your career in the new world of digital business
• Lead high-value strategic projects with a tangible business impact
• Work in a young, international, and multicultural environment, with teams across five continents
• Enjoy a flexible working environment, including hybrid work options
• Access a wide range of learning and development opportunities to continuously grow your skills
• Take part in the LittleBig Crew experience through afterworks, team-building activities, and internal and external events

Tagged as: Data Analysis