26 Performance Analyst jobs in Egypt

Key Responsibilities

• Track and analyze logistics performance metrics (on-time delivery, cost per order, delivery accuracy).
• Monitor and evaluate Delivery Associate (DA) performance including incentive schemes and shift adherence.
• Design and generate reports/dashboards to support management decision-making.
• Identify operational bottlenecks and recommend improvement initiatives.
• Work with dispatch and vendor teams to ensure accurate and timely order assignments.
• Support in developing incentive schemes to improve DA productivity and retention.
• Monitor customer satisfaction metrics related to logistics and delivery.
• Collaborate with finance to validate logistics costs, variances, and efficiency drivers.

Skills & Qualifications

• Bachelor's degree in Supply Chain Management, Logistics, Business Analytics, or related field.
• 2–4 years of experience in logistics, supply chain, or operations analysis.
• Strong analytical skills with proficiency in Excel, SQL, and BI tools (Power BI, Tableau, etc.).
• Excellent communication and reporting skills for cross-functional collaboration.
• Ability to design and monitor incentive schemes for delivery associates.

Company Description

Are you ready to join a dynamic team that's transforming the way small businesses manage their finances? At mazeed, we're not just offering a service; we're providing a lifeline to micro and small-sized enterprises. Our multi-faceted platform is the key to helping these businesses keep their financial records in check, issuing invoices promptly, and making informed decisions. We're the trusted extension of their team, their Finance & Accounting Department.

Our core values of Integrity, People Growth, Customer Centric, Global Mindset, Innovation, and Adaptability are the foundation upon which we've built our success. We're not just looking for someone who can fill a role, but someone who can align with these values, adding their unique perspective to our team.

Job Summary:

The Sr. Performance Executive is responsible for the planning, execution, and optimization of paid advertising campaigns across all major platforms (Meta, X (formerly Twitter), TikTok, Google Ads, etc.). This role requires a deep understanding of digital marketing best practices, a data-driven approach, and a strong focus on achieving measurable results.

Job Description

Purpose of the job:

As a Business Performance Analyst, you will play a critical role in driving operational excellence across multiple regions (EG, UAE, KSA) within a financial services and SaaS business environment. Leveraging your expertise in business analysis and SaaS ecosystems, you will evaluate and optimize operational processes, ensuring efficiency, scalability, and alignment with business goals.

This role will involve analyzing client lifecycle workflows (onboarding, billing, renewals, and support), identifying inefficiencies, and implementing data-driven improvements using insights derived from the Mazeed CRM solution and other SaaS management platforms. You will collaborate closely with cross-functional teams including Operations, Finance, Sales, and Customer Success to deliver actionable insights that enhance service delivery and support sustainable growth.

The ideal candidate will possess strong analytical skills, deep knowledge of SaaS and financial services operations, and hands-on experience with CRM solutions. A proven track record of implementing process improvements in a multinational environment and the ability to translate complex data into strategic recommendations are essential for success.

Monthly Closing Cycle:

• Collaborate with the Finance department to support the monthly closing cycle.
• Generate and validate MRR/ARR reports from Mazeed CRM solution, ensuring accuracy, consistency, and alignment with both financial services and SaaS business objectives.

Process Monitoring and Improvement

• Monitor SaaS subscription cycles, billing, renewals, and financial transaction flows across EG, UAE, and KSA using the Mazeed CRM solution.
• Analyze operational workflows (onboarding, customer success, billing, collections, and support) to identify inefficiencies.
• Implement process improvements to enhance client experience, operational efficiency, compliance, and scalability.

Data Analysis and Reporting:

• Leverage data-driven insights from Mazeed CRM and financial reporting systems to define and track key performance indicators (MRR growth, churn, retention, onboarding SLA, renewal rates, and financial accuracy).
• Utilize Power BI to build advanced reports and dashboards, enabling leadership to monitor performance in real time.
• Provide actionable insights that directly support strategic decisions for both financial services operations and SaaS subscription growth.

System Management:

• Manage and optimize Mazeed CRM solution to ensure seamless data accuracy across client lifecycle management and financial operations.
• Coordinate with Operations to monitor and optimize the process deployment .

Performance Analysis:

• Conduct in-depth performance analysis of onboarding, renewals, cancellations, collections, and customer success activities across EG, UAE, and KSA.
• Use reliable data to make informed recommendations that improve retention, reduce churn, optimize financial performance, and ensure sustainable revenue growth.

Assurance of Workflow and Process Implementation:

• Ensure defined workflows, SOPs, and operational processes are implemented consistently across financial services and SaaS operations.
• Monitor execution against agreed SLAs, identify deviations, and recommend corrective actions.
• Maintain updated documentation to support consistent application of processes across regions.

Dashboard Development:

• Design and maintain interactive Power BI dashboards to provide clear visibility into performance metrics across financial services and SaaS units.
• Identify strengths and weaknesses, enabling leadership teams to drive targeted improvements across regions.

Qualifications

• A bachelor's degree in accounting or finance is required
• Proficiency in Microsoft Office, particularly with Excel, Power BI
• Familiar with ERP systems
• Strong communication skills, both written and verbal
• strong organizational and stress management skills
• 8+ years' experience overall with 2 years of experience managing employees.
• Working knowledge of Financial services and SaaS business
• Leading team experience
• C1 in English level

Additional Information

If you're excited to embark on this journey with us, to be part of an innovative team that's changing the game for small businesses, we encourage you to apply. At mazeed, we don't just hire employees; we welcome team members who share our values and vision. Join us in making a real impact on the financial well-being of small enterprises while advancing your own career. Your success is our success, and together, we'll reach new heights in the world of finance and accounting.

Join our mazeed Family and enjoy a comprehensive benefits package that includes competitive compensation, comprehensive health coverage, professional development opportunities, work-life balance initiatives, an inclusive company culture, and performance bonuses and incentives. We prioritize the well-being and growth of our employees and strive to create a supportive and rewarding work environment.

Company Description

The Institute of Management Professionals (IMP) was established in 2014 as an independent professional institute. It partners with consultation companies in various fields to deliver comprehensive management and business training. IMP is dedicated to advancing professional development through a wide range of training programs designed to meet industry needs.

Role Description

This is a full-time hybrid role for a Data Analysis Trainer at IMP. The role is based in Giza, with some flexibility for working from home. The Data Analysis Trainer will be responsible for delivering training on data analytics and statistics, developing training materials, conducting workshops, and providing hands-on guidance to participants. The trainer will also be responsible for creating data modeling exercises and ensuring effective communication of complex analytical concepts.

Qualifications

• Strong Analytical Skills and proficiency in Data Analytics
• Knowledge of Statistics and Data Modeling techniques
• Excellent Communication skills
• Experience in creating and delivering training materials and workshops
• Ability to simplify and communicate complex analytical concepts
• Familiarity with relevant analytics tools and software
• Bachelor's degree in Data Science, Statistics, or related field

Company Description

Staffinity Outsourcing is a next-generation recruitment and talent empowerment company that combines smart technology with deep human insight to create precise and personalized career journeys. We design tailored pathways to help individuals unlock their full potential, find their ideal role, and grow sustainably in an ever-changing world. Powered by innovation and driven by a passion for excellence, Staffinity is the launchpad for talents who aspire to build unique futures. Our mission is to empower exceptional talents to discover and own their career journeys with faster and smarter hiring experiences.

Role Description

This is a full-time on-site role for a Data Analysis Instructor - 1, located in Cairo, Egypt. The Data Analysis Instructor - 1 will be responsible for teaching data analysis concepts to students, developing course materials, and providing hands-on training in data analytics tools and techniques. The instructor will also be responsible for creating a collaborative learning environment, evaluating student performance, and staying up-to-date with the latest industry trends and tools in data analysis.

Job Qualifications

• Strong Analytical Skills and proficiency in Data Analytics
• Experience in Statistics and Data Modeling
• Excellent Communication skills
• Ability to create a conducive learning environment and engage with students effectively
• Aptitude for teaching and mentoring
• Strong organizational skills and attention to detail
• Experience with data analytics tools such as Python, R, or SQL is preferred
• Previous teaching experience or instructional design is a plus
• Bachelor's degree in data science, Statistics, Computer Science, or a related field

If you're Interested In & qualified for the Above Criteria, Please Send Your Updated CV, & We Will Get in Touch with You As Soon As Possible."

Best Of Luck

Talent Acquisition Team

A leading Engineering Training Company is seeking Data science & AI instructor

to join our team.

As a Data Science Instructor, you'll play a pivotal role in our trainees' development.

Responsibilities:

• Develop and refine engaging session materials that resonate with diverse learning styles.

• Curate and prepare relevant datasets for practical exercises and impactful projects.

• Deliver clear, concise, and compelling explanations of complex technical concepts.

• Provide timely and insightful support to trainees through various communication channels.

• Evaluate progress and offer constructive mentorship, guiding trainees through their learning journey.

• Stay at the forefront of industry trends, continuously updating your knowledge of new technologies and tools.

Skills for Success:

Qualifications and requirements

-5 years of experience in, Data Science and related fields

-Educational background in relevant fields such as Engineering, Computer Science, Statistics, or Business.

-Communication Skills Articulate complex ideas clearly and effectively.

-Outstanding Presentation Skills

-Command attention and inspire learning.

-High Commitment Level Dedicated to trainee success and program excellence.

Strong Leadership Skills: -Guide and motivate aspiring professionals.

Technical Skills:

• Python Programming

• Data Analysis

• Deep Learning

• Machine Learning with Python

How to Apply:

If you're passionate about technology and eager to contribute to an innovative engineering training company, please send your CV to:

-

Company Description

AMIT, which stands for "Association of Management and Information Technology," is a leading company specializing in training and consulting. As a service provider, AMIT places great importance on delivering high-quality service, recognizing that the company's success is directly tied to service excellence. The company is at the forefront of new training methodologies, continuously reviewing market trends and engaging with clients to forecast and identify growth areas in training. AMIT constantly strives to stay contemporary and innovative in its training offerings.

Role Description

This is a full-time on-site role for a Data Analysis Instructor located in Qesm El Maadi. The Data Analysis Instructor will be responsible for teaching data analytics and statistics courses, developing course materials, assessing student performance, and providing feedback. The instructor will also mentor students, assist with curriculum development, and stay up-to-date with industry trends. The role requires excellent communication skills to effectively convey complex information to students.

Key Responsibilities:

• Deliver live and engaging sessions
• Break down complex concepts into easy-to-understand lessons
• Guide learners through hands-on projects, assignments, and exams
• Provide mentorship and feedback
• Collaborate with the academic team to improve course material

Support students during their capstone and real-world projects

Job Qualifications:

• Minimum of 2 years of hands-on experience in Data Analysis or Data Science
• Proven ability to work with:
• Microsoft Excel (Advanced level – PivotTables, Charts, Functions)
• Python (with Pandas, Plotly, Dash)
• SQL (PostgreSQL, MySQL, or similar)
• Power BI (ETL, DAX, Data Modeling & Dashboards)
• Tableau (Data Visualization & Storytelling)
• Strong communication and presentation skills
• Teaching or training experience is a strong plus
• Ability to guide learners through practical labs, workshops, and final projects
• Passion for education and helping others succeed in the field of data

If you're Interested in & Qualified for the Above Criteria, Please Send Your Updated Resume, & The Talent Acquisition Team Will Contact You As Soon As Possible

Best Of Luck

Talent Acquisition Team

Company Description

AMIT, which stands for "Association of Management and Information Technology," is a leading company specializing in training and consulting. As a service provider, AMIT places great importance on delivering high-quality service, recognizing that the company's success is directly tied to service excellence. The company is at the forefront of new training methodologies, continuously reviewing market trends and engaging with clients to forecast and identify growth areas in training. AMIT constantly strives to stay contemporary and innovative in its training offerings.

Role Description

This is a full-time on-site role for a Data Analysis Instructor located in Qesm El Maadi. The Data Analysis Instructor will be responsible for teaching data analytics and statistics courses, developing course materials, assessing student performance, and providing feedback. The instructor will also mentor students, assist with curriculum development, and stay up-to-date with industry trends. The role requires excellent communication skills to effectively convey complex information to students.

Key Responsibilities:

• Deliver live and engaging sessions
• Break down complex concepts into easy-to-understand lessons
• Guide learners through hands-on projects, assignments, and exams
• Provide mentorship and feedback
• Collaborate with the academic team to improve course material

Support students during their capstone and real-world projects

Job Qualifications:

• Minimum of 2 years of hands-on experience in Data Analysis or Data Science
• Proven ability to work with:
• Microsoft Excel (Advanced level – PivotTables, Charts, Functions)
• Python (with Pandas, Plotly, Dash)
• SQL (PostgreSQL, MySQL, or similar)
• Power BI (ETL, DAX, Data Modeling & Dashboards)
• Tableau (Data Visualization & Storytelling)
• Strong communication and presentation skills
• Teaching or training experience is a strong plus
• Ability to guide learners through practical labs, workshops, and final projects
• Passion for education and helping others succeed in the field of data

If you're Interested in & Qualified for the Above Criteria, Please Send Your Updated Resume, & The Talent Acquisition Team Will Contact You As Soon As Possible

Best Of Luck

Talent Acquisition Team

Job Description :

Data Analysis Specialist

(ERP & Enterprise Data and Process Management)

Department:
IT

Reports to:
Head of
Enterprise Data and Process Management

Location:
Fort-Cap(ital Group – Head Office – Maadi, Cairo

Role Purpose

The Data Analysis Specialist is responsible for analyzing ERP data, managing enterprise data governance, and standardizing business processes within FCG manufacturing environment. The role ensures accurate reporting, actionable insights, and optimized ERP workflows to support decision-making across manufacturing, supply chain, procurement, finance, and sales.

Top Responsibilities

·   ERP Data Management – Maintain data accuracy, integrity, and consistency across ERP modules.

·   Enterprise Data Governance – Implement master data standards (materials, BOMs, customers, vendors) and ensure compliance.

·   Process Management – Map, document, and optimize business processes aligned with ERP best practices.

·   Reporting & Insights – Develop ERP dashboards and KPIs to monitor performance in manufacturing, supply chain, finance, and sales.

·   Cross-Functional Support – Partner with Finance, Manufacturing, Procurement, and IT teams to ensure effective ERP usage and reporting.

Key Deliverables

·   Master Data Management framework (customers, suppliers, materials, BOMs).

·   Enterprise Data Governance policies and compliance reports.

·   Standardized business process maps and documentation.

·   Automated ERP-based dashboards and KPI reporting suite.

·   Regular data quality audits and improvement recommendations.

Must-Have Qualifications

·   Bachelor's in Data Science, Computer Science, Industrial Engineering, Supply Chain, or related.

·   1–2 years of ERP data analysis experience (Oracle Fusion, SAP, MS Dynamics, or similar).

·   Strong skills in SQL, Excel, BI tools (Power BI, Tableau, OTBI).

·   Knowledge of Master Data Management, Process Mapping, and ERP business flows.

·   Strong communication and stakeholder management skills.

We're Hiring: Data Analysis Diploma Instructor

ReCode Academy is looking for an
experienced, passionate, and hands-on Data Analysis instructor
to join our team and teach our comprehensive
Data Analysis Diploma
.

What You'll Do:

• Deliver engaging sessions on
  Math & Statistics, Excel, SQL, Python, EDA, and Power BI
• Guide students through real-world datasets and projects
• Mentor beginners to become job-ready data analysts
• Prepare course materials, exercises, and mini-projects

Required Skills & Experience:

• Strong understanding of
  Descriptive & Inferential Statistics, Probability, Regression, Hypothesis Testing
• Expertise in
  Excel
  : Formulas, Functions, PivotTables, Power Query, Power Pivot, Dashboards
• Proficient in
  SQL
  : Database design, ERD, DDL/DML, Joins, Subqueries, Window Functions, CTEs
• Strong
  Python
  skills: Basics, NumPy, Pandas, Data Visualization (Matplotlib, Seaborn), EDA
• Knowledge of
  Power BI
  : Desktop & Service, Visualizations, DAX, Power Query, Dashboard building
• Ability to
  explain complex topics clearly
  to beginners
• Experience with
  hands-on projects and real datasets

Preferred:

• Prior experience teaching or mentoring data analysis courses
• Strong communication and presentation skills
• Passion for
  helping students succeed in data analysis careers

Why Join Us:

• Be part of a growing academy shaping the next generation of data analysts
• Flexible, supportive, and collaborative environment
• Opportunity to create impact and guide students from zero to job-ready

Apply now
by sending your CV and a brief introduction highlighting your experience to

or you can apply now through

• Let's build
  data analysts of tomorrow
  together