Overview
Data Analyst & Analytics Engineer Jobs in Tripoli, Tripoli, Libya at Presto
Title: Data Analyst & Analytics Engineer
Company: Presto
Location: Tripoli, Tripoli, Libya
We Are Hiring : Data Analyst & Analytics Engineer
Location: Tripoli, Libya
Employment Type: Full-Time
Working Hours: Sunday – Thursday, 9:00 AM – 5:00 PM
Residency in Tripoli is required
About Presto
Presto is one of Libya’s leading on-demand delivery platforms, serving customers through restaurants, grocery stores, and retail partners. We are building a modern data platform and a data-driven culture that enables fast, reliable, and informed decision-making across the company.
We are looking for a Data Analyst & Analytics Engineer to support business reporting and analytics while contributing to the development of Presto’s modern data platform and ELT-based data warehouse.
Key Responsibilities
Reporting & Business Support
- Manage and maintain daily, weekly, and monthly reporting processes.
- Handle ad-hoc analytical requests from Operations, Marketing, Commercial, Product, Finance, and Customer Support teams.
- Deliver timely and actionable insights to stakeholders.
- Monitor key performance indicators (KPIs) and identify trends, anomalies, and business opportunities.
- Define and maintain reporting metrics and business definitions.
SQL & Analytics
- Write, optimize, and maintain SQL queries using Metabase and analytical databases.
- Conduct exploratory data analysis and root cause investigations.
- Build reusable analytical queries and data models.
- Ensure data quality and consistency across reports and dashboards.
Dashboards & Data Visualization
- Design and maintain dashboards using Power BI and Metabase.
- Create visualizations that clearly communicate insights to both technical and non-technical audiences.
- Present findings and recommendations to stakeholders.
Data Engineering & ELT Platform Support
- Assist in building and maintaining Presto’s modern ELT-based data platform.
- Support data ingestion, transformation, and modeling processes.
- Collaborate with Data Engineers to build and maintain analytical datasets and semantic models.
- Develop SQL-based transformations and data models following ELT principles.
- Contribute to the design and documentation of data warehouse layers (Bronze, Silver, and Gold).
- Validate and test data pipelines to ensure accuracy and reliability.
- Support data cataloging and documentation initiatives.
- Assist in migrating data from operational databases to the analytical data warehouse.
- Contribute to data quality monitoring and reporting automation initiatives.
- Work closely with engineering teams to improve scalability and performance.
Process Improvement & Automation
- Automate recurring reporting and analytical tasks.
- Improve reporting efficiency and self-service analytics capabilities.
- Develop and maintain reporting and analytics documentation and best practices.
- Continuously identify opportunities to improve processes and data quality
Required Qualifications
Technical Skills
- Strong proficiency in SQL.
- Experience using Metabase.
- Experience with Power BI or similar data visualization tools.
- Proficiency in Microsoft Excel and Google Sheets.
- Basic knowledge of Python for data analysis and automation.
- Familiarity with Generative AI tools and Prompt Engineering concepts.
- Understanding of data warehousing and ELT principles.
- Basic knowledge of data modeling concepts, including Star Schema, Fact Tables, and Dimension Tables.
Analytical Skills
- Strong problem-solving and critical thinking abilities.
- Ability to translate business requirements into analytical solutions.
- High attention to detail and commitment to data quality.
- Ability to manage multiple priorities and requests effectively.
Communication Skills
- Ability to communicate insights effectively to both technical and non-technical stakeholders.
- Strong documentation and organizational skills.
- Ability to work independently and collaboratively within a team environment.
Preferred Qualifications
- 1–3 years of experience in Data Analytics, Business Intelligence (BI), or Analytics Engineering.
- Experience with MySQL, PostgreSQL, or Amazon Redshift.
- Familiarity with ETL/ELT concepts and modern data stack tools.
- Knowledge of data warehouse design and dimensional modeling.
- Experience with dbt is a plus.
- Familiarity with AWS services such as S3, Glue, Redshift, DMS, and Athena is a plus.
- Experience using Git and version control systems.
- Experience in food delivery, e-commerce, logistics, or multi-sided digital platforms is a plus.
Apply Now
Please send your CV to:
