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Tabby | تابي

<div>
 
 
 Department:
 
 Collection
 
 
 
 Location:
 
 Egypt
 
 
 
 
 Description
 
 
 
 Job Summary - We are looking for a Senior Data Analyst with exceptional analytical skills and a proven ability to work with large, complex datasets. The ideal candidate is a SQL superstar who can extract, transform, and analyze data efficiently, while also building reports and dashboards that guide critical business decisions. This role is perfect for someone who thrives in fast-paced environments, loves solving problems with data, and can translate insights into actionable recommendations.
 
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 
 Data Analysis &amp; RCA
 
 : Perform deep analysis on business datasets to identify trends, patterns, and anomalies. Translate raw data into clear, actionable insights for stakeholders.
 
 </li>
 </ul>
 <ul>
 <li>
 
 SQL &amp; Data Extraction
 
 : Write highly optimized SQL queries for data extraction and manipulation. Ensure query performance is efficient even with large datasets. Act as the go-to expert in SQL best practices within the team.
 
 </li>
 </ul>
 <ul>
 <li>
 
 Reporting &amp; Visualization
 
 : Build and maintain automated dashboards and reports to track business KPIs. Use tools like Tableau, Power BI, or Looker for data visualization. Create ad-hoc reports to answer urgent business questions.
 
 </li>
 </ul>
 <ul>
 <li>
 
 Data Quality &amp; Management
 
 : Ensure accuracy, consistency, and reliability of data used for analysis. Collaborate with data engineering teams to maintain robust data pipelines. Proactively identify and resolve data quality issues.
 
 </li>
 </ul>
 <ul>
 <li>
 
 Stakeholder Communication
 
 : Present findings in a clear and concise manner to both technical and non-technical audiences. Support senior management with data-driven decision-making. Partner with business, operations, risk, finance, product teams to support problem solving and decision-making.
 
 
 
 </li>
 </ul>
 
 Skills, Knowledge &amp; Expertise
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Statistics, Mathematics, Economics, Data Science, or related discipline.
 </li>
 <li>
 Minimum 3&ndash;5 years of experience in data analytics in data analytics or business intelligence.
 </li>
 <li>
 Strong SQL skills for analysis and reporting.
 </li>
 <li>
 Hands-on experience with at least one visualization tool is a plus (Tableau, Power BI, Looker).
 </li>
 <li>
 Excellent problem-solving skills and a structured, analytical mindset.
 </li>
 <li>
 Experience in fintech, lending, collections, risk, or consumer finance is a plus.
 
 </li>
 </ul>
</div>

Senior Data Analyst

RATP Dev Mobility Cairo

<div>
 
 Job Purpose
 
 
 
 The Senior Client Data Analyst serves as the strategic bridge between Finance, Treasury, and Operations, ensuring the integrity of the revenue cycle through advanced data architecture and predictive analytics. Reporting to the Treasury Manager, this role is essential for mitigating financial risk, optimizing working capital, and driving the digital transformation of client-facing financial processes.
 
 
 
 Responsibilities/Duties
 
 
 
 
 Profil de candidat recherch&eacute; :
 
 
 
 
 Advanced Financial Analytics &amp; Risk Mitigation
 
 
 
 <ul>
 <li>
 Lead the analysis of client communications, case histories, and dispute patterns to proactively identify systemic risks and root causes of payment delays.
 </li>
 <li>
 Monitor and analyze complex aging receivables and cash-in data to ensure ledger accuracy and facilitate early detection of credit risks.
 </li>
 <li>
 Evaluate client payment behaviors and historical trends to provide actionable insights that optimize collection strategies and minimize bad debt exposure.
 </li>
 <li>
 Audit the e-invoice lifecycle including issuance, acceptance, and rejection phases to streamline the billing workflow and prevent downstream collection bottlenecks.
 
 
 </li>
 </ul>
 
 Strategic Reporting &amp; Digital Transformation
 
 
 
 <ul>
 <li>
 Architect and automate analytical dashboards (e.g., Power BI, Tableau) that provide real-time visibility into receivables and collection KPIs.
 </li>
 <li>
 Design integrated monitoring systems for back-to-back invoicing to track the full financial lifecycle from supplier cash-out to client cash-in.
 </li>
 <li>
 Engineer data-driven forecasting models that provide the Treasury department with high-precision inputs for global cash flow planning.
 </li>
 <li>
 Innovate reporting frameworks by migrating manual data sets into scalable, automated cloud-based environments to enhance organizational agility.
 
 
 </li>
 </ul>
 
 Cross-Functional Leadership &amp; Operational Excellence
 
 
 
 <ul>
 <li>
 Reconcile high-volume client data across Finance, Treasury, and Operations, spearheading process improvements where data silos or discrepancies are identified.
 </li>
 <li>
 Spearhead data-driven presentations for senior management, banking partners, and key stakeholders to support high-stakes financial negotiations and audits.
 </li>
 <li>
 Direct on-site communications and client-facing meetings by providing empirical evidence to resolve complex disputes and strengthen commercial relationships.
 </li>
 <li>
 Advise the Treasury Manager on day-to-day liquidity shifts and operational tasks, serving as a technical subject matter expert for the broader finance team.
 
 
 </li>
 </ul>
 
 Safety Responsibilities
 
 
 
 <ul>
 <li>
 Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.
 </li>
 <li>
 Comply with the requirements of RDMC RQHSE Policy and Safety Management System.
 </li>
 <li>
 Be mindful that Safety, Security, and Environmental protection are everyone&rsquo;s responsibility. All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Finance, Data Science, or Business Administration.
 </li>
 <li>
 Professional certification in data visualization (e.g., Microsoft Certified: Power BI Data Analyst Associate) or finance (e.g. CMA) is an advantage.
 
 
 </li>
 </ul>
 
 Knowledge
 
 
 
 <ul>
 <li>
 Advanced command of Power BI (DAX/Power Query), SQL, and ERP systems (SAP, Oracle, or Microsoft Dynamics 365), is an advantage.
 </li>
 <li>
 Deep understanding of Accounts Receivable (AR) lifecycles, GAAP/IFRS standards, and e-invoicing regulatory frameworks.
 </li>
 <li>
 Deep knowledge of data privacy laws.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 5&ndash;7 years of progressive experience in financial data analysis, revenue operations, or treasury analytics.
 
 
 </li>
 </ul>
 
 Desired Behaviors &amp; Experiences
 
 
 
 <ul>
 <li>
 Proven track record of transforming "raw data" into clean, executive-ready narratives that drive decision-making.
 </li>
 <li>
 Ability to challenge the status quo and influence cross-functional stakeholders without direct authority.
 </li>
 <li>
 A forward-thinking approach to AI and Machine Learning applications in predictive financial modeling.
 </li>
 <li>
 High emotional intelligence when managing complex client disputes or high-pressure month-end closing cycles.
 </li>
 <li>
 High level of professionalism, ethical conduct, and integrity.
 </li>
 </ul>
</div>

Sr Client Data Analyst

<div>
 
 
 We're Hiring: AI &amp; Automation Analyst
 
 
 
 We are looking for an
 
 AI &amp; Automation Analyst
 
 to join our team. This is an exciting opportunity for professionals with a passion for Artificial Intelligence, Machine Learning, and Automation to contribute to innovative solutions that enhance business processes and drive digital transformation.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Analyze business needs and identify opportunities for AI and automation.
 </li>
 <li>
 Design, develop, and implement AI solutions and automated workflows.
 </li>
 <li>
 Build and deploy machine learning models and automation scripts.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver business-driven technology solutions.
 </li>
 <li>
 Prepare, analyze, and manage data to support AI initiatives.
 </li>
 <li>
 Monitor, test, and continuously improve AI and automation solutions.
 </li>
 <li>
 Ensure compliance with data privacy and security standards.
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Data Science, or a related field.
 </li>
 <li>
 1&ndash;3 years of experience in AI technologies, Machine Learning, and Automation.
 </li>
 <li>
 Proficiency in Python, R, or Java.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Experience with automation tools and integrating AI solutions into business processes.
 </li>
 <li>
 Certifications in AI, Machine Learning, RPA, or PMP are considered an advantage.
 </li>
 <li>
 Experience within the FMCG industry is a plus.
 </li>
 </ul>
 
 
 
</div>

AI and Automation Analyst

Datamatics Technologies

<div>
 Job Description: Data Science &amp; Analytics Engineer
 
 
 Job Title:
 
 Data Science &amp; Analytics Engineer
 
 
 Experience:
 
 3&ndash;11 Years
 
 
 Location:
 
 
 
 Riyadh - Onsite
 
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are looking for a talented
 
 Data Science &amp; Analytics Engineer
 
 with
 
 3&ndash;11 years of experience
 
 to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making.
 
 Key Responsibilities
 <ul>
 <li>
 Design, develop, and deploy predictive and analytical models to solve business problems
 </li>
 <li>
 Perform data exploration, statistical analysis, feature engineering, and model evaluation
 </li>
 <li>
 Build interactive dashboards, reports, and visualizations for business stakeholders
 </li>
 <li>
 Develop scalable data analytics solutions using modern cloud and big data platforms
 </li>
 <li>
 Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions
 </li>
 <li>
 Analyze structured and unstructured datasets to identify trends, patterns, and opportunities
 </li>
 <li>
 Ensure data quality, governance, and best practices across analytics initiatives
 </li>
 <li>
 Present analytical findings and recommendations to technical and non-technical audiences
 </li>
 <li>
 Continuously improve analytics processes, reporting capabilities, and model performance
 </li>
 </ul>
 Required Technical SkillsProgramming &amp; Data Science
 <ul>
 <li>
 Strong proficiency in
 
 Python or R
 
 for data analysis, statistical modeling, and machine learning
 </li>
 <li>
 Experience with data manipulation, exploratory data analysis (EDA), and predictive analytics
 </li>
 </ul>
 Data Science Platforms
 <ul>
 <li>
 Hands-on experience with
 
 Databricks or Dataiku
 
 for data science, machine learning, and collaborative analytics
 </li>
 <li>
 Experience developing end-to-end analytical workflows and model deployment
 </li>
 </ul>
 Business Intelligence &amp; Visualization
 <ul>
 <li>
 Strong experience with
 
 Power BI or Tableau or Looker
 
 for dashboard development and data visualization
 </li>
 <li>
 Ability to create interactive reports and executive-level dashboards
 </li>
 </ul>
 Data Warehousing &amp; Analytics
 <ul>
 <li>
 Experience with
 
 BigQuery or Snowflake
 
 for large-scale analytics and data warehousing
 </li>
 <li>
 Strong understanding of SQL, data modeling, and analytical query optimization
 </li>
 </ul>
 Analytics &amp; Machine Learning
 <ul>
 <li>
 Experience with statistical analysis, forecasting, classification, clustering, and regression models
 </li>
 <li>
 Familiarity with machine learning libraries and model evaluation techniques
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field
 </li>
 <li>
 
 3&ndash;11 years
 
 of professional experience in Data Science, Business Analytics, or Advanced Analytics
 </li>
 <li>
 Strong analytical, mathematical, and problem-solving skills
 </li>
 <li>
 Excellent communication and presentation skills
 </li>
 <li>
 Experience working in Agile/Scrum environments
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform
 </li>
 <li>
 Knowledge of MLOps, model deployment, and AI-driven analytics
 </li>
 <li>
 Experience with ETL/ELT processes and data engineering concepts
 </li>
 <li>
 Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage
 </li>
 <li>
 Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus
 </li>
 </ul>
 Key Technology Stack
 <ul>
 <li>
 
 Programming Languages:
 
 
 Python or R
 
 </li>
 <li>
 
 Data Science Platforms:
 
 
 Databricks or Dataiku
 
 </li>
 <li>
 
 Business Intelligence:
 
 
 Power BI or Tableau or Looker
 
 </li>
 <li>
 
 Data Warehouse:
 
 
 BigQuery or Snowflake
 
 </li>
 <li>
 
 Analytics:
 
 Statistical Analysis
 
 and
 
 Predictive Modeling
 
 and
 
 Machine Learning
 
 and
 
 Data Visualization
 </li>
 <li>
 
 Cloud Platforms:
 
 
 AWS or Microsoft Azure or Google Cloud Platform
 
 (Preferred)
 </li>
 </ul>
</div>

Data Science & Analytics Engineer

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior Data Engineer
 
 
 
 Job Description
 
 
 
 Seeking an experienced Senior Data Engineer to design, development, and optimization of
 
 
 our data pipelines, data models, and analytics infrastructure. The ideal candidate has
 
 
 strong experience in building scalable data platforms across operational systems and
 
 
 enterprise data warehouses.
 
 
 Key Responsibilities
 
 
 Core Responsibilities
 
 
 <ul>
 <li>
 Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
 </li>
 <li>
 Develop high-quality data integration workflows using modern data engineering tools and frameworks.
 </li>
 <li>
 Optimize data processing performance, storage usage, and pipeline reliability.
 </li>
 <li>
 Implement data quality checks, validation rules, and monitoring dashboards.
 </li>
 <li>
 Collaborate with data analysts, data scientists, and business teams to deliver reliable datasets suitable for reporting and analytics.
 </li>
 <li>
 Manage data security, access controls, and governance best practices.
 </li>
 <li>
 Support production workflows, troubleshoot issues, and improve platform stability.
 
 
 </li>
 </ul>
 Additional Responsibilities for Data Models &amp; Structures (Operational + DW)
 
 
 <ul>
 <li>
 Own the design and maintenance of logical and physical data models for
 
 
 </li>
 </ul>
 operational systems and enterprise data warehouse (OLTP + DWH).
 
 
 <ul>
 <li>
 Define and enforce data modeling standards, naming conventions, and schema governance.
 </li>
 <li>
 Translate business processes into efficient database schemas, including star/snowflake models.
 </li>
 <li>
 Optimize queries and database structures for high-performance analytics and real-time data access.
 </li>
 <li>
 Work closely with DBAs, architects, and product teams to ensure data models meet scalability and performance requirements.
 </li>
 <li>
 Lead database refactoring efforts, schema evolution, and versioning processes.
 </li>
 <li>
 Perform impact analysis for schema changes across upstream and downstream systems.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Must-Have Requirements
 
 
 <ul>
 <li>
 5+ years of experience as a Data Engineer or similar role.
 </li>
 <li>
 Strong Python Skills and Experience
 </li>
 <li>
 Strong SQL /PLSQL skills and experience with relational databases (Oracle, PostgreSQL, MySQL, or similar).
 </li>
 <li>
 Experience with NoSQL databases and streaming systems (Kafka, Kinesis, etc.).
 </li>
 <li>
 Hands-on experience with data processing frameworks (Spark, Databricks, or similar).
 </li>
 <li>
 Proficiency with cloud platforms (AWS).
 </li>
 <li>
 Experience with workflow orchestration (Airflow, Prefect, or similar).
 </li>
 <li>
 Strong understanding of ETL/ELT patterns, data warehousing concepts, and BI fundamentals.
 </li>
 <li>
 Proven ability to design robust data models and optimize database structures.
 </li>
 <li>
 Knowledge of data governance, cataloging, and metadata management.
 
 
 </li>
 </ul>
 Nice-to-Have Skills
 
 
 <ul>
 <li>
 Familiarity with CI/CD, infrastructure-as-code, and DevOps practices.
 </li>
 <li>
 Experience with real-time analytics or high-volume distributed data systems
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior Data Engineer

YO IT Consulting

<div>
 
 Job Description
 
 
 
 
 Job Title:
 
 Data Analyst Excel
 
 
 
 Job Type:
 
 Contract
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary:
 
 In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required &mdash; your domain knowledge is what matters.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Conduct in-depth data analysis using Microsoft Excel to extract actionable insights and support decision-making across teams.
 </li>
 <li>
 Collaborate with project stakeholders to understand data requirements and translate them into meaningful analyses.
 </li>
 <li>
 Review, clean, and validate datasets to ensure accuracy, consistency, and integrity.
 </li>
 <li>
 Develop clear, concise reports and visualizations to communicate findings to both technical and non-technical audiences.
 </li>
 <li>
 Identify trends, anomalies, and opportunities in complex datasets, contributing to strategic initiatives.
 </li>
 <li>
 Document methodologies, results, and recommendations with meticulous attention to detail.
 </li>
 <li>
 Contribute expertise to enhance data-driven decision-making processes within the customer's team.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Proven experience performing data analysis in a business environment using Microsoft Excel as the primary tool.
 </li>
 <li>
 Exceptional attention to detail and accuracy in data processing and reporting.
 </li>
 <li>
 Strong written and verbal communication skills, with the ability to clearly articulate analytical findings.
 </li>
 <li>
 Demonstrated ability to work collaboratively across teams to drive business outcomes.
 </li>
 <li>
 Solid understanding of Excel functions, formulas, and data visualization tools.
 </li>
 <li>
 Proficiency in identifying data inconsistencies and implementing corrective measures.
 </li>
 <li>
 Experience working in fast-paced, data-driven organizations.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience supporting cross-functional teams with data insights to inform business strategy.
 </li>
 <li>
 Background in presenting analytical outcomes to diverse audiences.
 </li>
 <li>
 Familiarity with additional data analysis tools or business intelligence platforms.
 </li>
 </ul>
</div>

Data Analyst Excel - Remote

<div>
 
 
 Teleperformance is Hiring: WFM Analyst L2
 
 
 
 Are you passionate about workforce planning, data analysis, and process improvement? Join Teleperformance and help drive operational excellence through workforce optimization and innovation.
 
 
 
 What You'll Do:
 
 
 
 &bull; Analyze workforce data and identify trends to improve efficiency
 
 
 &bull; Develop recommendations to optimize workforce planning and resource utilization
 
 
 &bull; Collaborate with Operations, HR, and IT teams to implement WFM strategies
 
 
 &bull; Drive automation, standardization, and continuous process improvement
 
 
 &bull; Support and train teams on WFM tools and best practices
 
 
 &bull; Monitor performance and contribute to business improvement initiatives
 
 
 &bull; Ensure compliance with company policies and information security standards
 
 
 
 What We're Looking For:
 
 
 
 
 &bull; 2&ndash;5 years of experience in Workforce Management, project management, or process improvement in BPO Industry
 
 
 
 &bull; Bachelor's degree
 
 
 
 &bull; English level: B2 or above
 
 
 
 
 &bull; Hands-on experience working with Alvaria and/or Aspect WFM tools
 
 
 
 &bull; Strong analytical and problem-solving skills
 
 
 &bull; Proficiency in Microsoft Excel, Word, and Outlook
 
 
 &bull; Experience with SQL, BI tools, or Workforce Management software is a plus
 
 
 &bull; Excellent communication and stakeholder management skills
 
 
 &bull; Ability to work in a fast-paced, data-driven environment
 
 
 
 What We Offer:
 
 
 
 &bull; Competitive salary package
 
 
 &bull; Medical and social insurance
 
 
 &bull; Transportation provided
 
 
 &bull; Career growth and development opportunities
 
 
 &bull; Dynamic international work environment
 
 
 
</div>

Workforce Management Analyst

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