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7 days ago
We are seeking a skilled data professional to join our team as a Senior Analytics Engineer.
Key Responsibilities:- Data Analysis and Interpretation (30%):
- Analyze large datasets to identify trends, opportunities, and areas for improvement.
- Develop and maintain data models to support analytics and reporting.
- Design dimensional models and star schemas to effectively organize retail data.
- Data Quality Management & Governance(20%):
- Develop and implement comprehensive data quality frameworks and monitoring systems to ensure accuracy, completeness, and consistency of retail and e-commerce data.
- Implement data cleansing and enrichment processes to improve the overall quality of historical and incoming data.
- Project and Team Management (30%) :
- Lead end-to-end analytics projects from initiation to delivery, ensuring adherence to timelines, budgets, and quality standards.
- Mentor junior team members and provide technical guidance on analytics engineering best practices and methodologies.
- Education: Bachelor's degree in Computer Science, Data Science, Engineering, or related field.
- Experience: 6+ years of experience in analytics.
- Proficiency in SQL and database technologies
- Core expertise with dbt (data build tool).
- Experience with data pipeline tools (e.g., Apache Airflow).
- Familiarity with cloud platforms (e.g., AWS, Google Cloud).
- Knowledge of Python or R.
- Experience with data visualization tools (e.g., Tableau, Power BI).
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