Senior Data Analyst
3 days ago
We are seeking an experienced Analytics Engineer to join our analytics team. The successful candidate will be responsible for developing, implementing, and maintaining data pipelines that support our business intelligence and analytics efforts.
This role requires close collaboration with data scientists, data analysts, and other stakeholders to ensure data is accessible, reliable, and actionable. We are looking for someone who is passionate about creating scalable data solutions and enabling data-driven decisions.
- Data Pipeline Development: Design, build, and maintain robust ETL (Extract, Transform, Load) pipelines to collect, transform, and integrate data from various sources.
- Data Modeling: Develop and maintain clean, reusable, and reliable data models to support analytics, reporting, and machine learning.
- Data Governance: Ensure data quality, integrity, and consistency through regular monitoring, testing, and validation processes.
- Stakeholder Collaboration: Work closely with data analysts, data scientists, and business stakeholders to understand requirements and deliver solutions that meet business needs.
- Tool Optimisation: Optimize analytics workflows and tool usage for scalability and efficiency.
Education / Experience
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent experience).
- 3+ years of experience in data engineering, analytics engineering, or a similar role.
- Strong proficiency in SQL, with the ability to write complex queries and optimize for performance.
- Experience with ETL tools and data orchestration frameworks (e.g. dbt, Apache Airflow, Prefect).
- Solid understanding of data warehousing concepts and data modeling techniques (e.g. star schema, snowflake schema).
- Familiarity with cloud data platforms (e.g. Snowflake, BigQuery, Redshift).
- Experience with version control systems like Git and familiarity with CI/CD pipelines.
- Ability to work independently and manage multiple tasks while meeting deadlines.
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