Responsibilities:
- Data Modeling and Management: Design, develop, and maintain data models and data marts.
- Data Quality Assurance: Ensure data quality and consistency through data profiling and cleansing.
- Data Pipeline Development: Collaborate with data engineers to establish robust data pipelines.
- Advanced Analytics: Conduct in-depth data analysis, build predictive models, and perform time series analysis.
- Reporting and Visualization: Create high-quality data visualizations (dashboards, reports) and develop interactive dashboards to enable self-service analytics.
- Data Self-Service Platform: Manage and maintain the data self-service platform (e.g., Metabase) to empower business users.
- Data Governance: Adhere to data governance policies and security best practices.
- Collaboration: Work closely with data engineers, business analysts, and other stakeholders.
- Automation and Scripting: Automate data analysis tasks and workflows using scripting languages like Python.
Qualifications:
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
- Strong analytical and problem-solving skills.
- Proficiency in data analysis tools (SQL, Python) and visualization tools (Tableau, Power BI, Looker Studio, Metabase, or similar).
- Strong understanding and experience with data warehousing and data lakes.
- Understanding of data pipelines and ETL processes.
- Knowledge of statistical analysis and simulation models
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
- Excellent communication and presentation skills.
- 2-4 years of experience in data analysis or a related field.
Reporting Line: