PaySky is looking for a talented Data Analyst to join Yalla Super App marketing team with the below details:
Job requirements:
- +2 years of total experience in data and analytics.
- Experience in working with senior business and IT stakeholders, as well as end-users.
- Solid knowledge of the data and analytics landscape and recent trends.
- Ability to work with under extreme uncertainty and deal with tight deadlines
- Knack for identifying bottlenecks and reporting them
- Technical writing experience in relevant areas, including queries, reports, and presentations
- Experience managing medium to large-scale software/technology initiatives
- Desire to learn & expand your comfort zone whenever a new technological trend in Data & Analytics arises
- Strong SQL, JavaScript & Power BI skills
- Solid Analytical Skills.
- Knack for identifying bottlenecks and reporting them
- Strong Knowledge of Cloud Data Platforms, Data Warehousing, Data Lakes.
- Python is a Plus.
- Intermediate or higher English level, both spoken and written.
Job description:
- Data Collection:
•Own data collection from different sources including internal and external stakeholders.
•Validate the data collected from different data sources.
•Evaluate internal processes for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data
•Have a data sensitive approach, making sure all information is stored and transferred to our database.
•Run regular data integrity audits. - Data Analysis:
•Drive analytical insights through deep dives and dashboard development.
•Validate key results from different sources, to support different divisions with key insights. - Data Visualization:
•Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources.
•Present appropriate analysis and commentary to technical and non-technical audience.
•Develop the dashboard in a way to give insights to different business levels, with different level of data.