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purchasing data analyst

Kasrawy Group Careers

<div>
 Job Overview:
 
 
 We are seeking a highly analytical and detail-oriented purchasing data analyst to join our team. The ideal candidate will have a strong understanding of data analysis and purchasing processes, and will be responsible for managing and analyzing data related to our purchasing activities. This is a full-time position based in 6th of October City, Egypt.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect and analyze purchasing data to identify trends, patterns, and opportunities for cost savings
 </li>
 <li>
 Monitor inventory levels and make recommendations for purchasing decisions
 </li>
 <li>
 Collaborate with purchasing team to develop and implement purchasing strategies
 </li>
 <li>
 Maintain accurate and up-to-date purchasing records and reports
 </li>
 <li>
 Identify and resolve any discrepancies in purchasing data
 </li>
 <li>
 Communicate with suppliers to negotiate pricing and terms
 </li>
 <li>
 Stay up-to-date on industry trends and best practices in purchasing and data analysis
 </li>
 <li>
 Use data visualization tools to create reports and presentations for management
 
 
 
 </li>
 </ul>
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Business Administration, Supply Chain Management, or related field
 </li>
 <li>
 2+ years of experience in data analysis and/or purchasing
 </li>
 <li>
 Strong analytical skills with the ability to interpret and present data
 </li>
 <li>
 Proficient in Microsoft Excel and data visualization tools (e.g. Tableau, Power BI)
 </li>
 <li>
 Excellent communication and negotiation skills
 </li>
 <li>
 Detail-oriented with a high level of accuracy
 </li>
 <li>
 Ability to work independently and in a team environment
 </li>
 <li>
 Knowledge of purchasing processes and supply chain management is a plus
 
 
 
 </li>
 </ul>
 We Offer:
 
 
 <ul>
 <li>
 Competitive salary and benefits package
 </li>
 <li>
 Opportunities for growth and career development
 </li>
 <li>
 Dynamic and collaborative work environment
 </li>
 <li>
 Training and support for professional development
 
 
 
 </li>
 </ul>
 If you are a self-motivated and analytical professional with a passion for data and purchasing, we encourage you to apply for this exciting opportunity. Join our team at Kasrawy Group and be a part of our mission to provide exceptional products and services to our customers.
</div>

Purchasing Data Analyst

Valeo

<div>
 Business Intelligence Analyst
 
 
 Company:** Valeo Internal Automotive Software Egypt
 
 
 
 Job Summary
 
 
 
 Valeo Internal Automotive Software Egypt is seeking a highly motivated and skilled Business Intelligence Analyst to transform complex data into actionable insights. This role will play a crucial part in supporting strategic decision-making and optimizing business performance within our dynamic automotive software environment.
 
 
 Job Responsibilities
 
 
 As a Business Intelligence Analyst, you will be responsible for:
 
 
 <ul>
 <li>
 Designing, developing, and maintaining robust Business Intelligence (BI) solutions, including dashboards, reports, and data visualizations, to support various business units.
 </li>
 <li>
 Performing in-depth Data Analysis to identify trends, patterns, and anomalies in large datasets, providing clear and concise interpretations to stakeholders.
 </li>
 <li>
 Collaborating with cross-functional teams to understand business requirements and translate them into technical specifications for BI solutions.
 </li>
 <li>
 Assisting in the management and optimization of Database Management systems, ensuring data integrity, security, and accessibility.
 </li>
 <li>
 Contributing to the development and implementation of Data Governance policies and procedures to maintain data quality and compliance.
 </li>
 <li>
 Conducting Data Mining activities to uncover hidden insights and opportunities for process improvement and innovation.
 </li>
 <li>
 Developing and maintaining Data Modeling structures to ensure efficient data retrieval and analysis.
 </li>
 <li>
 Applying Data Science techniques and methodologies to solve complex business problems and predict future outcomes.
 </li>
 <li>
 Creating compelling Data Visualization to effectively communicate complex analytical findings to both technical and non-technical audiences.
 </li>
 <li>
 Participating in the design, development, and maintenance of Data Warehousing (DW) solutions to support enterprise-wide reporting and analysis.
 </li>
 <li>
 Writing and optimizing Structured Query Language (SQL) queries to extract, transform, and load data from various sources.
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, or a related quantitative field.
 </li>
 <li>
 Proven experience as a Business Intelligence Analyst or in a similar data-focused role.
 </li>
 <li>
 Strong proficiency in Business Intelligence (BI) tools and platforms (e.g., Tableau, Power BI, QlikView).
 </li>
 <li>
 Expertise in Data Analysis and strong analytical problem-solving skills.
 </li>
 <li>
 Solid understanding of Database Management principles and practices.
 </li>
 <li>
 Familiarity with Data Governance best practices.
 </li>
 <li>
 Experience with Data Mining techniques and tools.
 </li>
 <li>
 Proficiency in Data Modeling concepts and methodologies.
 </li>
 <li>
 Basic understanding of Data Science principles and applications.
 </li>
 <li>
 Excellent skills in Data Visualization and storytelling with data.
 </li>
 <li>
 Experience with Data Warehousing (DW) concepts and technologies.
 </li>
 <li>
 Advanced proficiency in Structured Query Language (SQL) for data manipulation and querying.
 </li>
 <li>
 Excellent communication, interpersonal, and presentation skills with the ability to explain complex technical concepts to non-technical stakeholders.
 </li>
 <li>
 Ability to work independently and as part of a team in a fast-paced environment.
 </li>
 </ul>
</div>

Business Intelligence Analyst, BI

Boubyan Bank

<div>
 
 
 JOB SUMMARY / PURPOSE:
 
 
 
 The Data Analyst will be instrumental in leveraging data to enhance the bank's AI conversation assistants and self-service digital channels. This role focuses on extracting, analyzing, and interpreting digital channel&rsquo;s and conversational data to provide actionable insights that drive process improvements, optimize customer journeys, and support evidence-based decision-making across various business units.
 
 
 
 
 
 
 ROLE AND RESPONSIBILITIES:
 
 
 
 
 
 <ul>
 <li>
 
 Data Collection &amp; Management:
 
 Collect, validate, cleanse, and transform large datasets from various sources, including conversational platforms, and data warehouses, ensuring data accuracy and integrity.
 </li>
 <li>
 
 Data Ingestion:
 
 Ingest digital channels logs, anonymize/PII scrub, build vectorization pipelines, index maintenance, ETL for analytics and model monitoring data.
 </li>
 <li>
 
 BI &amp; Reporting Development:
 
 Design, develop, and maintain reports, dashboards, and data visualizations (using tools like Power BI) to track Business KPIs, Conversation analytics, Model performance &amp; quality,Infra &amp; Operations and Compliance &amp; audit reports
 </li>
 <li>
 
 NLU Performance Review:
 
 Review and analyse the Natural Language Understanding (NLU) performance of AI models to improve conversation flow and accuracy. Perform ad-hoc analyses to inform product priorities (e.g., identify content gaps, high-failure dialogs).
 </li>
 <li>
 
 Process Improvement:
 
 Identify opportunities for data process improvements, recommend system modifications, and automate reporting workflows to enhance efficiency.
 </li>
 <li>
 
 Stakeholder Collaboration:
 
 Work closely with cross-functional teams (e.g., AI Product Managers, AI Scientists and AI Engineers) to understand their data needs, gather reporting requirements, and provide analytical support.
 </li>
 </ul>
 
 
 
 
 
 PREFERRED SKILLS AND QUALIFICATIONS
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor&rsquo;s degree in Computer Science, Data science, Statistics, mathematics, or a related field.
 </li>
 <li>
 
 Experience:
 
 Proven experience (3-5 years preferred) as a Data Analyst, BI Analyst or Reporting Analyst, ideally within the banking/financial services industry or working with AI products/digital journey design.
 </li>
 <li>
 
 Technical Skills:
 
 SQL, Power BI, Python, NLP, ETL
 </li>
 </ul>
 
 -High proficiency in SQL Databases / data warehouse on-prem (Postgres, MongoDB, Oracle, SQL server, Sybase)
 
 
 -Expertise in BI and data visualization tools (e.g., Microsoft Power BI).
 
 
 -Understanding of data warehousing, ETL processes, and database design concepts.
 
 
 -Familiarity with statistical software or programming languages like Python for advanced analytics.
 
 
 -Familiarity with NLP models, LLMs and ML lifecycle (model versioning, inference tagging).
 
 
 -Familiarity with ML observability tools (Grafana integration, MLflow metrics) and model explainability tools.
 
 
 -Familiarity with vector databases (Qdrant/FAISS/ Weaviate), retrieval metrics and conversational analytics tooling.
 
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Strong analytical, problem-solving, and critical-thinking skills with keen attention to detail.
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to present complex information clearly to diverse audiences.
 </li>
 <li>
 Ability to work independently and collaboratively in a dynamic, fast-paced environment.
 </li>
 <li>
 Proactive mindset and intellectual curiosity about data and emerging AI technologies.
 </li>
 </ul>
</div>

Data Analyst - Data Analytics & Reporting

<div>
 
 
 Job Title:
 
 
 
 Spanish WFM Real Time Analyst
 
 
 
 
 
 
 Department:
 
 
 
 Project Workforce Management
 
 
 
 
 
 
 Reports To:
 
 
 
 WFM Planning Analyst
 
 
 
 
 
 
 Position Overview:
 
 
 
 
 
 
 The Spanish Real Time Analyst II monitors on a daily basis different levels of Contact Center activities and analyzes performance data in real time. Main purpose of that action is to identify weak points and suggest more efficient management solutions to supervisors and managers.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 &bull; Generates and delivers real-time reports to Operations Management Team
 
 
 &bull; Compares call forecasts with actual results to examine variances, proactively identify scheduling gaps and offers solutions to solve them.
 
 
 &bull; Provides performance analysis to ensure accurate, timely reporting to support business decisions.
 
 
 &bull; Proving support to Operations Supervisors by identifying and suggesting more efficient management solutions.
 
 
 &bull; Take decisions on the number of Operations Customer Experts to be in the Front-Office Group and Back-Office Group and move Operations Customer Experts from one group to another to maximize productivity and Service Level performance.
 
 
 &bull; Control the Service Levels.
 
 
 &bull; Break management.
 
 
 &bull; Be a true team member in Teleperformance &ndash; focused on the success of the company and the well-being of the team.
 
 
 &bull; Interaction with other departments to improve and maximize the project(s) results.
 
 
 &bull; Be an active part in the process of continuous improvement, proposing improvement and innovation methods across the department and the company (producing fresh and imaginative ideas and solutions)
 
 
 &bull; Ensure all Teleperformance processes, procedures and policies are fulfilled, including but not limited to GDPR - General Data Protection Regulation, GISP - Global Information Security Policies, ISS - Information Security Standard; CSR - Corporate Social Responsibility policies, Health &amp; Safety, among others.
 
 
 &bull; Communicate any known infractions of these Corporate Policies and procedures to Teleperformance Management immediately.
 
 
 
 
 
 
 Required Qualifications
 
 
 
 
 Education and specific Training
 
 
 
 
 
 
 &bull; Higher Education Degree (preferential).
 
 
 &bull; Fluency in Spanish B2 Level and English (B2) is a Must.
 
 
 
 
 
 
 Work Experience:
 
 
 
 
 
 
 
 &bull; Experience in project management and implementation.
 
 
 &bull; Hands on Experience as a Real Time Analyst from 6 Months to 2 Years.
 
 
 &bull; Proficient in Excel, Word, and Outlook.
 
 
 &bull; Knowledge of SQL (Structured Query Language), BI tools or Workforce Management software is a plus.
 
 
 
 
 
 
 Soft Skills &amp; Other Requirements:
 
 
 
 
 
 
 Technical Skills:
 
 
 &bull; Working knowledge of Microsoft Office Suite (Excel, Word, PowerPoint);
 
 
 &bull; Experience managing in Customer Experience Management operations; Competencies and
 
 
 
 
 
 Specific skills:
 
 
 &bull; Achievement oriented.
 
 
 &bull; Analytical ability.
 
 
 &bull; Initiative.
 
 
 &bull; Problem solving.
 
 
 &bull; Team building / Teamwork.
 
</div>

WFM Real Time Analyst II (Spanish)

Beyti - an Almarai Subsidiary

<div>
 
 
 Tasks/ Responsibilities:
 
 
 
 - Ensure that the prices maintained in SAP are accurate by updating prices when requested by the buyer or when a new price list is received from a supplier.
 
 
 -Responsible for the creation and maintenance of accurate purchasing documents as the Scheduling agreement or Purchase Order in SAP, in accordance with the SLA agreed with their customers.
 
 
 -Resolve/take the necessary steps to resolve the payment issues for which they are responsible within SLA.
 
 
 -Investigate the root cause of the price discrepancy and take the necessary action to resolve the issue.
 
 
 -Collects and prepares inquiry data from SAP for complex spending pools, on a needed basis.
 
 
 -Ensures SLAs are met as agreed with the Customers (e.g. 10 working days for issuing the PO).
 
 
 -Payment Issues Analysis &amp; Resolution.
 
 
 -Price Blocked Invoice Resolution.
 
 
 -Produces complex data analysis, at Customers&rsquo; request.
 
 
 -Provides monthly reports and follow-up for the number of PRS versus number of PO.
 
 
 -Purchasing Document Creation and Maintenance.
 
 
 -Understands and uses SAP functionality to gather and process data for the different reporting requirements.
 
 
 -Works with team coordinators/Procurement supervisors in identifying opportunities for improvement and suggest solutions.
 
 
 
 
 
 
 
 
 
 Qualifications &amp; Skills:
 
 
 
 
 
 <ul>
 <li>
 Engineering Background is a must.
 </li>
 <li>
 1 to 3 years of experience in procurement or similar roles.
 </li>
 <li>
 Computer knowledge: Excel medium level, PowerPoint, Word, SAP.
 </li>
 <li>
 Excellent customer service: commitment to solve problems and requests, understanding of the customer needs business and priorities.
 </li>
 <li>
 Good administrative skills; particular emphasis on accuracy.
 </li>
 <li>
 Good communication skills, as this role has many touch points with both internal and external customers.
 </li>
 <li>
 Good problem-solving abilities. Solves the majority of problems with no/minimal supervision.
 </li>
 <li>
 Phone etiquette awareness.
 </li>
 <li>
 Priority setting and ability to understand and follow standard processes.
 </li>
 </ul>
 
 
</div>

Procurement Buyer - Indirect

Coptic Orphans

<div>
 
 
 Sr. Data Analyst
 
 
 
 
 
 
 
 Purpose of the Job
 
 
 
 The Senior Data Analyst plays a critical role in leading advanced data analysis initiatives that uncover meaningful patterns and trends, supporting data-informed decision-making across the organization. This role involves independently sourcing, transforming, and interpreting diverse datasets and translating findings into clear, actionable insights through advanced visualizations and reports tailored for managers and functional leads. By strengthening our data-driven approach, the Senior Data Analyst will play a pivotal role in turning raw information into measurable improvements that support our mission and align with organizational objectives.
 
 
 
 
 
 
 Essential Functions and Responsibilities
 
 
 <ul>
 <li>
 Partner with directors and managers across departments to proactively identify opportunities where data analytics can enhance operational effectiveness and support business goals.
 </li>
 <li>
 Lead the design, implementation, and deployment of predictive and prescriptive models.
 </li>
 <li>
 Continuously evaluate, refine, and optimize models to improve accuracy, reliability, and business relevance.
 </li>
 <li>
 Translate machine learning outputs into actionable recommendations that support data-informed decisions by directors and managers.
 </li>
 <li>
 Deliver impactful reports, dashboards, and data stories tailored for executive audiences and non-technical stakeholders, clearly linking analytics to strategic recommendations.
 </li>
 <li>
 Design and implement robust data collection strategies from multiple sources (enterprise databases, APIs, external data feeds, unstructured data) while ensuring data integrity and accessibility.
 </li>
 <li>
 Lead data cleaning, transformation, and validation processes, establishing best practices for data quality, governance, and reliability.
 </li>
 <li>
 Drive the development and deployment of predictive and prescriptive models to support strategic planning, resource allocation, and operational optimization.
 </li>
 <li>
 Collaborate with data analysts, developers, and technology leaders to define data architecture, integration requirements, and system implementations.
 </li>
 <li>
 Provide guidance to junior analysts and contribute to building data literacy across teams.
 </li>
 <li>
 Proactively research and recommend emerging data technologies, tools, and practices to strengthen analytical capabilities and maintain competitive advantage.
 </li>
 </ul>
 
 
 
 
 
 Required Education, Experience, Knowledge and Skills
 
 
 <ul>
 <li>
 Bachelor's degree Data Science, Computer Science, Information Systems Management or a related field.
 </li>
 <li>
 3-5 years of relevant professional experience in data analysis, including designing dashboards, delivering reports, and supporting operational or business decisions.
 </li>
 <li>
 Strong programming experience in Python (Pandas, NumPy, Scikit-learn) or R, with advanced SQL skills for complex queries and database management.
 </li>
 <li>
 Demonstrated knowledge of ETL frameworks and data warehousing principles.
 </li>
 <li>
 Strong knowledge of database design, relational and dimensional modeling, and data mining techniques.
 </li>
 <li>
 Hands-on experience applying advanced statistical concepts, supervised/unsupervised learning, and machine learning algorithms to solve real-world business problems.
 </li>
 <li>
 Proven ability to design, implement, and deploy predictive and prescriptive models.
 </li>
 <li>
 Ability to evaluate model performance, optimize accuracy, and translate outputs into actionable business strategies.
 </li>
 <li>
 Strong experience with data visualization tools (Power BI, Tableau, or similar).
 </li>
 <li>
 Familiarity with cloud-based data platforms (Azure, AWS, Google Cloud) and associated analytics services.
 </li>
 <li>
 Experience with web analytics platforms (Google Analytics, Adobe Analytics) is a plus.
 </li>
 <li>
 Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint), as well as Outlook, Teams, and SharePoint.
 </li>
 <li>
 Excellent written and verbal communication skills, with confidence presenting to directors &amp; managers.
 </li>
 <li>
 Ability to translate complex data into clear, actionable insights for diverse audiences.
 </li>
 <li>
 Collaborative mindset and willingness to share knowledge with team members.
 </li>
 <li>
 Proficient in both written and spoken English.
 </li>
 <li>
 Exceptional analytical, problem-solving, and critical-thinking skills.
 </li>
 <li>
 Ability to manage multiple priorities and deliver high-quality work independently.
 </li>
 </ul>
 
 
 
 
 
 Travel and Working requirements
 
 
 <ul>
 <li>
 Limited to typical office environment such as walking, sitting, typing, using office equipment, and occasional lifting of boxes or luggage during travel.
 </li>
 <li>
 Occasional national or international travel may be required.
 </li>
 <li>
 Working out of the official hours and on weekends may be required.
 </li>
 </ul>
 
 
</div>

Sr. Data Analyst

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