Data Analyst

- Data Analysis: Analyze large datasets to extract meaningful insights and trends. Develop and implement statistical models and algorithms for data analysis.

- Dashboard Development: Design and create interactive dashboards and reports using visualization tools (e.g., QlikSense Tableau, Power BI) to present data-driven insights. Collaborate with stakeholders to understand reporting requirements.

- Data Visualization: Create visually compelling charts, graphs, and visualizations to communicate complex data concepts clearly.

- Data Mining: Apply data mining and machine learning techniques to discover patterns and correlations in data.

- Data Quality Assurance: Implement and maintain data quality checks to ensure the accuracy and reliability of analytical results.

- Collaboration and Stakeholder Management: Collaborate with cross-functional teams, including business analysts, data engineers, and decision-makers.

Good to have Skills:

- Migration strategies from one database to another, both on premises and using cloud infrastructure.

- Experience in defining and running Extract, Transform, and Load (ETL) pipelines.

- Expertise in various database technologies with the ability to apply technology to use cases.

1. Experience in data analytics and visualization.

2. Proficiency in data visualization tools (e.g., QlikSense, Tableau, Power BI).

3. Strong programming skills, especially in Python or R.

4. Experience with statistical analysis and machine learning techniques.

5. Capability to create data pipelines for KPI Dashboards.