Senior Data Analyst - Ops & Fleet
Hybrid Cairo Full-time Senior Data Analysis & BI
At a glance
Senior Data Analysis & BI role at Bosta. Cairo · full-time.
Pay not stated Data Analyst salary
RoleData Analysis & BI
SenioritySenior
LocationCairo
WorkplaceHybrid
EmploymentFull-time
PostedFeb 15, 2026 · 8mo ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain SQL databases, keeping data reliable and coordinating with data engineers on performance issues
- Write SQL queries to handle data requests and develop extraction processes from different sources
- Create Tableau visualizations that communicate findings and support decisions across the organization
- Work with Operations, Fleet and planning teams to analyze their data needs and recommend ways to improve efficiency
What you bring
- A bachelor's degree in data science, statistics, computer science or another relevant field
- Three to five years working as a data analyst
- Strong SQL database management skills and advanced Tableau ability for dashboards and visualizations
Who this fits
This senior analyst role suits someone who can turn complex data and business needs into practical recommendations for Operations and Fleet. It is based in Cairo, Egypt, with a hybrid arrangement.
From the employer
About Bosta:
Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience altogether to provide a one-stop-shop for delivery solutions.
We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system.
Job Code: 2026DATA-071
Job Overview:
As a Senior Data Analyst, you will 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 will transform raw data into actionable insights that empower stakeholders to make informed decisions. This role will have a strong focus on supporting our Operations and Fleet teams, helping them to analyze data, uncover insights, and make data-driven decisions.
Job Responsibilities:
- 1-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.
- 2- 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.
- 3- Team Collaboration and Support:
- Collaborate with cross-functional teams to understand business requirements and provide data-driven insights and recommendations.
- Work closely with the Operations and Fleet teams to understand their data needs, analyze operational and fleet data and operations challenges, and provide insights to improve efficiency and decision-making.
- Partner with the planning/performance team.
- 4- Additional Duties:
- 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.
Job Requirements:
- Bachelor's degree in a relevant field such as Data Science, Statistics, or Computer Science.
- It's preferred to have tech startup experience.
- 3-5 Years of experience as a Data Analyst.
- Strong proficiency in SQL database management
- Advanced proficiency in Tableau for building dashboards and visualizations (required).
- Working knowledge of Python, Power BI or any other tools for data analytics 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.