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data analytics and insights analyst Jobs in Support Senior Specialist Revenue Management Broadband Jobs In Egypt

data analytics and insights analyst

data analyst

Invygo

<div><h3 class="jobSectionHeader">About invygo:</h3>
invygo is the first car as a service platform across emerging markets; we are an app that enables car shoppers to get an all-inclusive monthly car subscription that comes with insurance, maintenance, and more in a seamless app-based experience.
The business's vision is to be a true disrupter in the mobility space as the first car-as-a-service provider in emerging markets. Invygo&rsquo;s service offers the ultimate flexibility, allowing customers to subscribe to a car from 1 month to 9 months or more, with the option to switch, cancel, or upgrade at any time. As the global market dynamics shifts, invygo has the opportunity to disrupt the mobility sector across multiple regions.<h3 class="jobSectionHeader">
About the role:</h3>
At invygo, we are revolutionizing the way people lease cars. As a Data Analyst, you will play a crucial role in ensuring our subscription program remains ahead of the curve and constantly delivers value to our subscribers. You will be part of a dynamic and collaborative team where your ideas and contributions will have a direct impact on the success of our company. Culturally, you need to believe that no challenge is too big to solve and every decision can be data-driven.<h3 class="jobSectionHeader">
What you will be doing:</h3><ul>
<li>Conduct thorough data analysis and interpretation to extract valuable insights and drive informed business decisions.
</li><li>Collaborate with cross-functional teams, including stakeholders, business leaders, and data engineers, to understand business requirements and translate them into data analysis solutions.
</li><li>Design and develop data models, dashboards, and reports to visualize and communicate complex data findings effectively.
</li><li>Identify and define key performance indicators (KPIs) and metrics to measure business performance and track progress towards organizational goals.
</li><li>Gather, clean, and validate data from various sources, ensuring data quality and integrity.
</li><li>Perform statistical analysis, predictive modeling to identify patterns, trends, and opportunities.</li>
<li>Control product changes A/B testing &ndash; planning, decision making, effect estimation.</li>
<li>Stay updated with the latest industry trends, tools, and techniques in data analysis, and apply them to enhance analytical capabilities and drive innovation.
</li></ul>Requirements<h3 class="jobSectionHeader">
What You Bring to the Table:</h3><ul>
<li>2+ years of proven experience as a Data Analyst, Product Analyst, or similar role, with a strong focus on data analysis and visualization.</li>
<li>Expert at writing SQL queries against large amounts of data, hands on experience with Python is a plus.</li>
<li>Experience business intelligence and data visualization tools for creating management dashboards.</li>
<li>Proficiency in A/B testing and statistical analysis.</li>
<li>Strong analytical and problem-solving skills with the ability to analyze complex data sets and draw meaningful conclusions.
</li><li>Excellent communication and presentation skills, with the ability to effectively convey complex concepts to both technical and non-technical stakeholders.
</li><li>Ability to work independently and collaboratively in a fast-paced environment.
</li></ul>Benefits<h3 class="jobSectionHeader">
Why You&rsquo;ll Love Working with Us</h3>
At invygo, you&rsquo;ll have the autonomy, resources, and support to make big things happen. You&rsquo;ll learn fast, grow faster, and see your impact every single day.
Here&rsquo;s what we offer:
 Competitive Salary 
 Employee Stock Options (because we want you to share in our success)
 Team and Individual Performance Bonuses 
 Flexibility: Work from home or abroad 
 Discounts on invygo&rsquo;s car subscription (yes, your rides just got cooler) 
 Team Engagement Days filled with collaboration and fun<h3 class="jobSectionHeader">
 Ready to Drive Change?</h3>
If you&rsquo;re someone who thrives on challenges, enjoys working in a dynamic environment, and wants to make an impact, we&rsquo;d love to meet you.</div>

Data Analyst

NowPay

<div>
 <ul>
 <li>
 We are seeking a motivated Data Analyst with at least 1 year of experience to join our team.
 
 </li>
 <li>
 This is a full-time position with a hybrid work model, allowing flexibility in your work environment.
 
 </li>
 <li>
 The ideal candidate will have a strong foundation in SQL and Python, enabling them to analyze and manipulate data effectively.
 
 </li>
 <li>
 You will be responsible for developing and maintaining ETL processes to ensure data integrity and availability.
 
 </li>
 <li>
 Experience with Metabase for data visualization and reporting is highly desirable.
 
 </li>
 <li>
 Familiarity with version control systems like Git/GitHub is essential for collaborative projects.
 
 </li>
 <li>
 You will utilize Jupyter Notebook for data analysis and sharing insights with the team.
 
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
 
 </li>
 <li>
 Minimum of 1 year of experience in a data analysis role.
 
 </li>
 <li>
 Proficiency in SQL for database querying and data manipulation.
 
 </li>
 <li>
 Strong programming skills in Python for data analysis and automation.
 
 </li>
 <li>
 Experience with ETL processes and tools.
 
 </li>
 <li>
 Familiarity with Metabase or similar data visualization tools.
 
 </li>
 <li>
 Knowledge of Git/GitHub for version control and collaboration.
 
 </li>
 <li>
 Ability to work with Jupyter Notebook for data exploration and reporting.
 
 
 
 
 </li>
 </ul>
 Benefits
 
 
 <ul>
 <li>
 Social insurance coverage.
 
 </li>
 <li>
 Health insurance and wellness programs.
 
 </li>
 <li>
 Opportunities for professional development and career advancement.
 
 </li>
 <li>
 Dynamic and collaborative work environment.
 
 </li>
 <li>
 Flexible working hours supporting work-life balance
 
 
 </li>
 </ul>
</div>

Confidential Careers

<div>
 
 
 Job Title:
 
 Data Analyst Specialist
 
 
 
 Department:
 
 Customer Experience / Quality
 
 
 
 Location:
 
 Dokki
 
 
 
 
 
 
 Job Summary:
 
 
 
 The
 
 Data Analyst Specialist
 
 is responsible for analyzing customer data, service tickets, and survey results to identify trends and opportunities for improvement. This role supports decision-making by providing actionable insights that enhance customer engagement, service quality, and overall operational performance.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Analyze
 
 customer tickets, feedback, and survey data
 
 to identify patterns, root causes, and improvement opportunities.
 </li>
 <li>
 Prepare and maintain
 
 performance dashboards and KPI reports
 
 using advanced Excel tools and functions.
 </li>
 <li>
 Support
 
 customer experience initiatives
 
 by providing analytical insights and recommendations.
 </li>
 <li>
 Track
 
 customer engagement and service quality metrics
 
 to evaluate performance and ensure alignment with company goals.
 </li>
 <li>
 Design and execute
 
 surveys and data collection tools
 
 to measure satisfaction and process efficiency.
 </li>
 <li>
 Collaborate with cross-functional teams (Operations, Quality, and Customer Experience) to drive
 
 continuous improvement initiatives
 
 .
 </li>
 <li>
 Ensure accuracy, consistency, and confidentiality of all data and reports.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Business Analytics, Statistics, Economics, or a related field
 
 .
 </li>
 <li>
 
 1&ndash;3 years of experience
 
 as a Data Analyst or in a similar analytical role.
 </li>
 <li>
 
 Expert-level proficiency in Microsoft Excel
 
 (Pivot Tables, Power Query, Power Pivot, advanced formulas, and data visualization).
 </li>
 <li>
 Knowledge of
 
 Six Sigma methodologies
 
 or other analytical tools is preferred.
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to detail.
 </li>
 <li>
 Excellent communication and presentation skills.
 </li>
 <li>
 Ability to manage multiple priorities and meet deadlines.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience working in
 
 customer experience or call center analytics
 
 .
 </li>
 <li>
 Familiarity with
 
 data visualization tools
 
 (e.g., Power BI, Tableau) is an advantage.
 </li>
 <li>
 Strong understanding of
 
 customer satisfaction metrics
 
 and process improvement concepts.
 </li>
 </ul>
 
 
</div>

Data Analyst Specialist

Foodics

<div>Who Are We&#10067;
We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region.
The Job in a Nutshell 
We are seeking a skilled, Arabic-speaking Data Analyst with expertise in data visualization tools to join our growing team. This role is integral to our efforts in delivering advanced BI solutions across the Middle East. The primary responsibility will involve communicating with customers to understand their needs and creating tailored visualizations using our BI tool, ThoughtSpot.
The successful candidate will collaborate closely with a team of talented data scientists, analysts, and engineers to bring impactful data insights to life. 
What Will You Do&#10067;<ul>
<li>Develop and customize daily reports using ThoughtSpot (BI tool of choice) and Snowflake (data warehouse of choice).</li>
<li>Engage directly with customers to ensure that reports and visualizations align with their requirements.</li>
<li>Collaborate with team members to align report outcomes with broader business objectives.</li>
<li>Become a ThoughtSpot expert and pursue relevant certifications to deepen your expertise.</li>
<li>Document all report creations for future reference and maintain organized records of analytics work.</li>
Build familiarity with the company's data structure to independently address customer queries and requests. 
<li>
</li></ul>What Are We Looking For&#10067;<ul>
<li>Proven experience with data visualization tools in a professional production environment.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Excellent communication skills, particularly in customer-facing interactions.</li>
<li>Ability to work independently, prioritize tasks, and manage time effectively.</li>
<li>Proficiency in SQL for data manipulation and query building.</li>
</ul>Who Will Excel&#10067;<ul>
<li>Familiarity with Python and experience in data analysis using Python.</li>
Experience with datasets in the F&amp;B or retail sectors. 
<li>
</li></ul>What We Offer You&#10071; 
We believe you will love working at Foodics!<ul>
<li>We have an inclusive and diverse culture that encourages innovation and flexibility in remote, in-office, and hybrid work setups.</li>
<li>We offer highly competitive compensation packages, including bonuses and the potential for shares.</li>
<li>Out of Country Work: We offer the option to work outside of your country of employment for up to 30 days annually.</li>
<li>We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.</li>
<li>Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry.</li>
<li>We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.</li></ul></div>

<div>
 
 
 Job Overview:
 
 
 
 We are seeking a Shopify Data Analyst to turn data into actionable insights that drive smarter business decisions. The ideal candidate will analyze e-commerce metrics, build dashboards, and support growth initiatives through data-driven strategies.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Tracks KPIs: sales, conversion rate, average order value, churn.
 </li>
 <li>
 Builds dashboards (Google Looker, Power BI, or Shopify reports).
 </li>
 <li>
 Monitors marketing performance, inventory trends, and customer segments.
 </li>
 <li>
 Supports A/B testing and performance analysis.
 </li>
 <li>
 Advises on pricing, promotions, and retention strategies.
 </li>
 <li>
 Gathers and analyzes data from Shopify and integrated systems.
 </li>
 <li>
 Prepares performance summaries and trend analyses for management.
 </li>
 <li>
 Collaborates with marketing and operations to evaluate campaign ROI and customer lifetime value.
 </li>
 <li>
 Ensures data quality, accuracy, and compliance with data governance standards.
 </li>
 <li>
 Recommends strategies to enhance e-commerce performance based on data findings.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Analytics, Statistics, or related field.
 </li>
 <li>
 3&ndash;5 years of data analysis experience, preferably in an e-commerce setting.
 </li>
 <li>
 Proficiency in SQL, Power BI, or Google Looker Studio.
 </li>
 <li>
 Strong analytical and visualization skills.
 </li>
 <li>
 Familiarity with Shopify Analytics, Google Analytics, and marketing attribution tools.
 </li>
 <li>
 Advanced Excel skills and experience building automated reports.
 </li>
 <li>
 Excellent communication and storytelling with data.
 </li>
 </ul>
</div>

Shopify Data Analyst

<div><div><h3 class="jobSectionHeader">Who We Are:</h3>

At VML, we are a beacon of innovation and growth in an ever-evolving world. Our heritage is built upon a century of combined expertise, where creativity meets technology, and diverse perspectives ignite inspiration. With the merger of VMLY&amp;R and Wunderman Thompson, we have forged a new path as a growth partner that is part creative agency, part consultancy, and part technology powerhouse.

Our global family now encompasses over 30,000 employees across 150+ offices in 64 markets, each contributing to a culture that values connection, belonging, and the power of differences. Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology. We deliver end-to-end solutions that result in revolutionary work.</div><div> 
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

VML is a WPP Agency. For more information, please visit our website, and follow VML on our social channels via Instagram, LinkedIn, and X.

When you click &quot;Submit Application&quot;, this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.</div></div>

noon

<div>
 
 
 Job title:
 
 Data Analyst, Customer Support
 
 
 
 Location:
 
 Sheikh Zayed, Giza (On Site)
 
 
 
 Reporting to:
 
 Business Intelligence Assistant Manager, Customer Support
 
 
 
 
 
 
 About noon
 
 
 
 We&rsquo;re building an ecosystem of digital products and services that power everyday life across the Middle East&mdash;fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we&rsquo;re looking for an Integration &amp; Support Manager who can help us move even faster.
 
 
 noon&rsquo;s mission: Every door, every day.
 
 
 
 
 
 
 What you'll do:
 
 
 
 Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward.
 
 
 Responsibilities:
 
 <ul>
 <li>
 Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets.
 </li>
 <li>
 Analyze recurring complaint patterns, identify key attributes, and collaborate with ground operations and tech teams to implement root-level solutions.
 </li>
 <li>
 Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
 </li>
 <li>
 Prepare detailed Root Cause Analyses (RCA) for unique or complex cases, driving necessary changes across the value chain to prevent recurrence.
 </li>
 <li>
 Compile and share daily, weekly, and monthly insights with senior management, highlighting trends, challenges, and improvements.
 </li>
 <li>
 Develop processes and tools to monitor and analyze model performance and data accuracy.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What you'll need:
 
 
 
 We are seeking an outstanding early-career professional with a proven knack for problem-solving, demonstrated both in their personal and professional journey. The ideal candidate should exhibit structured thinking, the ability to synthesize information from diverse sources to achieve optimal outcomes, and a willingness to make decisions&mdash;whether grounded in logic or guided by intuition or combination of both when necessary. Below are the key skills and qualities we value in the candidate:
 
 
 
 
 
 - Excellent knowledge with Google BigQuery.
 
 
 - Basic understanding of machine learning concepts and hands-on experience with scikit-learn (e.g., regression, classification, clustering).
 
 
 - Familiarity with (HTML, JavaScript, CSS).
 
 
 - Exposure to data visualization tools or libraries (e.g. Power BI, Looker Studio, etc. ).
 
 
 - Strong analytical thinking, attention to detail, and eagerness to learn.
 
 
 - Good communication skills and ability to work in a team-oriented environment.
 
 
 - Strong command of English spoken and written.
 
 
 Nice to Have:
 
 
 - Personal projects, internships, or coursework involving real-world data analysis or ML modeling.
 
 
 - Familiarity with Git, or cloud platforms (especially Google Cloud Platform).
 
 
 - Interest in e-commerce, retail analytics, or consumer behavior.
 
 
 - 1 to 2 years of experience as a Data Analyst.
 
 
 
 
 
 
 Who will excel?
 
 
 <ul>
 <li>
 We&rsquo;re looking for people with high standards, who understand that hard work matters.
 </li>
 <li>
 You need to be relentlessly resourceful and operate with a deep bias for action.
 </li>
 <li>
 We need people with the courage to be fiercely original.
 </li>
 <li>
 noon is not for everyone; readiness to adapt, pivot, and learn is essential.
 </li>
 </ul>
 
 
</div>

Data Analyst, Customer Support

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Data Analyst, Customer Support