Senior Data Analyst

About the role

The Senior Data Analyst will design, implement and maintain scalable data pipelines, turning large raw datasets into actionable insights. You will work closely with cross‑functional teams to develop AI‑driven analytics, visualisations and data products that support business decisions.

Key responsibilities

• Design, implement and maintain ETL pipelines for large datasets.
• Create algorithms and statistical models to extract actionable insights.
• Develop data models for base tables and dashboards.
• Analyse upstream source systems and data trends.
• Query massive data sets to interpret complex relationships.
• Build logic for attributes, metrics and feature banks.
• Leverage GenAI and machine‑learning techniques to enhance analysis.
• Develop, test, deploy and monitor AI pipelines.
• Create visualisations and dashboards to communicate insights.
• Package and serve data products across reporting outlets.
• Ensure compliance with information‑security and privacy mandates.
• Implement best practices for data governance, quality and documentation.
• Maintain data architecture, integrity, security and performance.

Required profile

• Bachelor's degree in IT, Computer Engineering, Computer Science or Data Science.
• 2‑5 years of relevant experience.
• Relevant certifications (SQL, Python, Hadoop/Data Lakehouse).

Required skills

• Data warehousing and data modelling principles
• SQL (any variant)
• Linux and OS administration
• Python (including pandas and scikit‑learn)
• Apache Airflow
• Apache Spark
• Hadoop ecosystem
• Power BI or similar visualisation tools
• GenAI and machine‑learning techniques