Job Description
Job Overview:As a Data Analyst, you play a crucial role in extracting insights from complex datasets to inform strategic decision-making and drive business growth.
With a keen eye for detail and strong analytical skills, you transform raw data into actionable insights that empower stakeholders to make informed decisions.
Main Resposnibilities
- SQL Database Management:
- Build and maintain SQL databases, ensuring data integrity, security, and optimal performance.
- Oversee the maintenance of databases and coordinate with data engineers to address any performance issues.
- optimizing data performance.
- Handling all data extraction requests by creating queries on our SQL database.
- Data Extraction and Visualization:
- Develop and implement efficient data extraction processes from various sources.
- Create visually appealing and insightful data visualizations to effectively communicate findings to stakeholders.
- Apply data visualization best practices to enhance data-driven decision-making across the organization.
- Additional Duties:
- Collaborate with cross-functional teams to understand business requirements and provide data-driven insights and recommendations.
- Working closely with the planning/performance team.
- Stay updated on emerging trends, tools, and technologies in the field of data analytics.
- Foster a data-driven culture within the organization, promoting the use of data for decision-making at all levels.
Who you are!
- Bachelor's degree in a relevant field such as Data Science, Statistics, or Computer Science.
- It's preferred to have tech startup experience.
- 2-3 Years of experience as a Data Analyst.
- Strong proficiency in SQL database management.
- The ability to use data visualization using tools such as Python, Tableau, or Power BI is a plus.
- Knowledge of Python coding for data analytics and automation is a plus.
- Strong analytical and problem-solving skills, with the ability to interpret complex data and drive actionable insights.
- Strong business acumen and the ability to translate business requirements into analytical solutions.
