Senior Data Analyst - Semantic Layer & Analytics

About the role

LittleBig Connection is looking for an experienced Data Analyst to join its Data and AI team. You will own the semantic layer of the company's data platform: the models, metrics and definitions used by the whole organization. Beyond reporting, you will explain what happened, why it happened, what is likely to happen next and what should be done, working closely with Financial Partners, the Head of Business and Product Managers.

Key responsibilities

• Design, build and maintain the semantic model with dbt: staging, marts, metrics, tests and documentation.
• Own the definition of business metrics so they are consistent, documented and unique across all consumption surfaces.
• Contribute to data governance: ownership, naming conventions, data contracts, catalog and quality standards on the analytics layer.
• Run diagnostic analyses to find root causes behind business variation, and build predictive analyses such as forecasting, scoring and propensity.
• Turn insights into prescriptive recommendations: scenarios, simulations and actionable next steps.
• Deliver reporting and visualizations on top of the semantic model, and collaborate with the data engineering team on pipelines and modelling.

Required profile

• Master's degree in Computer Science, Engineering, Statistics, IT or a related field.
• At least 3 years of experience in data analytics, analytics engineering or related fields.
• Strong background in data modelling: dimensional modelling, semantic layers and metric definitions.
• Experience with data governance practices (documentation, ownership, data quality).
• Analytical mindset, strong problem-solving ability, excellent communication with technical and non-technical stakeholders, and fluent written and spoken English.

Required skills

• Advanced SQL and hands-on production experience with dbt.
• Python for statistical and predictive work.
• Working knowledge of cloud data platforms, preferably Azure Databricks, and a visualization tool such as Microsoft Power BI.

What we offer

• Flexible working environment, including hybrid work options.
• A wide range of learning and development opportunities.
• Team-building activities and events.
• High-value strategic projects in a young, international and multicultural environment.