Business Intelligence Analyst
3 weeks ago
Company’s Profile
We are delivering the best Digital Experience. We enable over 100+ companies across telecom, media, fintech, retail, manufacturing & public sector verticals to test their digital experience on the widest variety of devices, locations and networks.
Through synthetic testing, end-to-end automation and on-field infrastructure, our report and diagnostic tools allow you to monitor and identify failure points in your digital journey. Our analytics help you access, analyse, and enhance your global digital experience. We are a global company supporting and collaborating with regulators, public entities, enterprises, operators, and people worldwide.
Job Description:
As a Business Intelligence Analyst, You will work closely with cross-functional teams to understand their data needs and deliver high-quality reports and dashboards using tools like Amazon QuickSight and Google Looker. Your expertise in databases such as RDS and MongoDB will be crucial in ensuring data accuracy and integrity.
Key Responsibilities:
- Data Analysis: Analyze large and complex data sets to identify trends, patterns, and insights that drive business decisions.
- Reporting and Visualization: Develop and maintain interactive dashboards and reports using Amazon QuickSight and Google Looker.
- Database Management: Ensure data accuracy and integrity by managing and querying databases such as RDS and MongoDB.
- Documentation: Document data processes, methodologies, and findings to ensure transparency and reproducibility.
Qualifications:
- Experience: 2-3 years of experience in business intelligence, data analysis, or a related field.
- Technical Skills: Proficiency in Amazon QuickSight, Google Looker, and database management (RDS, MongoDB).
- Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data sets.
- Communication Skills: Excellent verbal and written communication skills, with the ability to present findings to non-technical stakeholders.
- Education: Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
Preferred Qualifications:
- Experience with other BI tools and technologies.
- Knowledge of SQL and data warehousing concepts.
- Familiarity with data modeling and ETL processes.
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