operations analyst

data engineer

financial analyst

analyst

business / system analyst

senior data analyst

Amazon

<div>
 
 Description
 
 
 
 Amazon is a highly data driven company highly obsessive about metrics. The Data analysts play a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root cause of quality defects and inventory adjustments. ICQA Data Analyst will work closely with the ICQA, Learning and Finance departments to provide data and analytical support for the business.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Development of data collection processes and data management systems
 </li>
 <li>
 Designing of queries, compiling of data, and generation of reports in SQL
 </li>
 <li>
 Charting and graphing of data for reporting purposes
 </li>
 <li>
 Developing dashboard (Amazon Quicksight) to support business decision making and dive deep activities
 </li>
 <li>
 Develop automation solution for analysis (python)
 </li>
 <li>
 Prepare and publish reports for business reviews (Weekly Business Review, Quarterly Business Review, Project Updates)
 </li>
 <li>
 Supporting leadership team how to interpret data trends as needed
 </li>
 <li>
 In depth research of defect trends
 </li>
 <li>
 Present analysis in easily digestible standard reports
 </li>
 <li>
 Support to ICQA &amp; Learning Team Projects
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Experience that includes strong analytical skills, attention to detail, and effective communication abilities
 </li>
 <li>
 Experience communicating clearly and effectively with different functional groups including senior business leaders, finance, HR and developers
 </li>
 <li>
 Experience managing and executing large projects from start to finish, including project management, data gathering and modeling, problem solving, and communicating recommendations
 </li>
 <li>
 Experience translating customer needs into business requirements
 </li>
 <li>
 Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in development or technical support
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Souq.com for E-Commerce LLC
 
 
 Job ID: A3176702
</div>

Data Analyst, AMET Central Data Analytics team

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Valleysoft | Center of Excellence

<div>
 Valleysoft | Center of Excellence is a regional IT services provider based in Egypt, serving clients globally since 2006. The company collaborates with global partners like Oracle to address diverse business and technical challenges, from enterprise application development to process management. Valleysoft's vendor-neutral and process-oriented approach, coupled with operational maturity, ensures high-quality and cost-effective services for clients.
 
 
 
 Job Description
 
 
 
 As a Software Business Analyst, you must be familiar with the banking processes in general, you will be responsible for analyzing business processes, identifying areas of improvement, and implementing solutions through the development and implementation of software applications. You will work closely with stakeholders, developers, and other team members to ensure that project goals are met on time and within budget.
 
 
 Key Responsibilties
 
 
 <ul>
 <li>
 Serve as a contact among stakeholders to facilitate requirements gathering and analysis, along with the user acceptance process for systems
 </li>
 <li>
 Create clear and precise business requirement documents (BRDs), functional specifications documents
 </li>
 <li>
 Guide system design, development, and documentation, ensuring alignment with business needs
 </li>
 <li>
 Employ prototyping tools and methods to aid in the development of user interfaces and applications
 </li>
 <li>
 Foster proactive communication between business and development teams to resolve conflicts and advance project objectives
 </li>
 <li>
 The ideal candidate will possess strong collaboration, teaming, and consensus-building skills, and be adept at working across various disciplines and organizations
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Computer Science, or a related field
 </li>
 <li>
 Minimum 3 years of experience as a Business Analyst in the banking sector
 </li>
 <li>
 Any certificate related to the business analysis field
 </li>
 <li>
 Proven expertise in banking domain processes and systems
 </li>
 <li>
 Strong skills in eliciting, analyzing, and documenting business requirements using interviews, workshops, and other techniques
 </li>
 <li>
 Experience in feasibility studies, business process modeling, and gap analysis for process improvement and automation
 </li>
 <li>
 Ability to define user stories, use cases, and acceptance criteria for software development
 </li>
 <li>
 Familiarity with Agile, Scrum, and Waterfall methodologies
 </li>
 <li>
 Excellent stakeholder management and communication skills
 </li>
 <li>
 Strong attention to detail, organizational skills, and ability to manage multiple priorities
 </li>
 <li>
 Proficiency in documentation tools and business analysis frameworks (mention specific tools if applicable)
 </li>
 </ul>
</div>

Senior Business Analyst

Celfocus

<div>
 
 Make an impact
 
 by working for sectors where technology is the enabler, everything is ground-breaking and there&rsquo;s a constant need to be innovative.
 
 
 
 Create and enhance projects
 
 in Java, Python, Angular, PHP, .NET and so much more while diving in the world of Blockchain, Artificial Intelligence, Data Science, Security and Internet of Things.
 
 
 
 Be part of the team
 
 that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.
 
 
 
 Face challenges
 
 and learn other ways of thinking and seeing the world - there&rsquo;s always room for your energy and creativity.
 
 
 
 About The Role
 
 
 
 As a Senior Data Scientist, you will be responsible for leading the design of solutions and managing the teams developing them within a project. You will also be responsible for selecting a team with the appropriate skillset or alternatively ensuring that the team acquires the required capabilities in due time. You must also ensure proper solution delivery, monitoring, and governance using MLOps.
 
 
 
 As a part of your job, you will:
 
 
 
 <ul>
 <li>
 Leverage data and domain knowledge to solve business problems and create quantifiable value.
 </li>
 <li>
 Work cross-functionally to define problem statements, collect data, build analytical models, and design suitable solutions.
 </li>
 <li>
 Build and maintain (or lead the development of) data-driven optimization models, experiments, forecasting algorithms, and capacity constraint models.
 </li>
 <li>
 Lead teams into delivering models using best MLOps practices.
 </li>
 <li>
 Communicate final recommendations and support decision-making.
 
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 Degree in an analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science);
 </li>
 <li>
 Scripting with Python and nice to have one of these languages (e.g., Pyspark, Spark-mllib);
 </li>
 <li>
 Experienced with packages such as NumPy, SciPy, Pandas, Scikit-learn, matplotlib, and tensorflow/pytorch;
 </li>
 <li>
 4-5 Years of project experience as a Data Scientist;
 </li>
 <li>
 Professional experience with Java, Scala, or Spark;
 </li>
 <li>
 Experience working with and leading teams in a project environment;
 </li>
 <li>
 Experience in delivering projects using MLOps best practices.
 
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 1+ years of SQL experience;
 </li>
 <li>
 Experience in distribution-based architectures such as Cloudera, AWS, Microsoft Azure Cloud, and GCP (Google Cloud Platform), among others;
 </li>
 <li>
 Knowledge of Data Governance.
 
 
 
 </li>
 </ul>
 
 Personal traits
 
 
 
 <ul>
 <li>
 Ability to adapt to different contexts, teams and Clients;
 </li>
 <li>
 Teamwork skills but also a sense of autonomy;
 </li>
 <li>
 Motivation for international projects and ok if travel is included;
 </li>
 <li>
 Willingness to collaborate with other players;
 </li>
 <li>
 Strong communication skills.
 
 
 
 </li>
 </ul>
 At Celfocus, we are committed to cultivate a diverse and inclusive workplace. As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities. We are dedicated to providing reasonable accommodations for candidates with specific needs. If you require any adjustments during the selection process, please inform our Talent Acquisition Team.
 
 
 
 Come join the Team!
 
 
 
 
 Celfocus is pioneering the future of business through Next-Gen Intelligence - the convergence of data, AI, and human creativity to build more autonomous and adaptive organisations.
 
 
 
 Guided by our core belief - Making Data Actionable - we partner with leading companies to co-create intelligent solutions that turn data into insight, agility, and business value.
 
 
 Operating in over 25 countries, we bring together business experts, data scientists, and AI engineers to turn complexity into clarity and vision into measurable impact.
 
 
 Founded in 2000, Celfocus is part of Novabase, listed on Euronext Lisbon.
 
 
 To know more, visit www.celfocus.com
</div>

Senior Data Scientist

Deloitte

<div>
 
 Senior Data Modelling Engineer, Cairo, Egypt
 
 
 
 
 Connect to your career at Deloitte
 
 
 
 Deloitte drives progress. Using our vast range of expertise, that covers audit, risk advisory, and consulting services across tax, legal, business, technology and corporate finance, we help our clients become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.
 
 
 What brings us all together at Deloitte? It&rsquo;s how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world,
 
 we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact.
 
 These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.
 
 
 
 Connect to your opportunity
 
 
 
 Data is the key enabler across a range of business functions. Without a solid data foundation, clients struggle to achieve their vision for a data-powered future, including implementing advanced analytics, machine learning, process automation and artificial intelligence to name a few. Our team delivers transformational data solutions to our insurance clients that benefit our clients, their customers and regulators.
 
 
 Our fast-paced, stimulating, team-based and fun environment will allow you to take your career to the next step by developing new skills and honing existing ones, through the best training and exposure to leading-edge technology-enabled programmes.
 
 
 You will be part of the following wider group within our Consulting portfolio offerings.
 
 
 
 Your role
 
 
 
 You will manage the data design for transformational data solutions to our clients. You will work with other architects with different areas of expertise to define business-facing data models that coherently enable a range of business processes and insurance functions.
 
 
 Our consultants work in a variety of projects to solve clients&rsquo; toughest data problems by combining industry experience, consulting and analytical skills to create a lasting impact.
 
 
 Whether it is defining a data model, inputting to a data/solution/technical architecture or articulating requirements for data ecosystems, we need the very best people to join us and strengthen our team even further. That is where you come in.
 
 
 
 Skills
 
 
 
 Our projects and clients vary greatly and your responsibility will differ slightly based on the focus of the client engagement and your skillsets, but within our AI &amp; Data practice, your role will involve:
 
 
 <ul>
 <li>
 Analyzing clients&rsquo; business and technical environment through workshops and analysis of design documents to derive functional and technical insights to support the design and delivery of data models and data-related deliverables.
 </li>
 <li>
 Delivery of business-facing insurance data models that effectively articulate designs, opportunities and challenges and can be used as a foundation for insurance transformations.
 </li>
 <li>
 Inputting to the design of end-to-end architectures that articulate what functions are required to support data and analytics activities.
 </li>
 <li>
 Helping market-leading clients understand how they can use data to address challenges, ambitions or objectives.
 </li>
 <li>
 Leading relationships with senior client stakeholders to define a &lsquo;common language for data&rsquo;, so that data across the organization can be interpreted and used consistently and efficiently for required purposes.
 </li>
 <li>
 Managing effective, enthused and diverse teams within an inclusive team culture where people are recognized for their contribution.
 </li>
 <li>
 Understanding the importance of stakeholder and change management and supporting development and implementation processes.
 </li>
 <li>
 Assisting in the further development of our market leading solution and delivery offerings and help produce proposal documents to showcase our capabilities to clients.
 </li>
 <li>
 Contributing to the development of our thriving Strategy, Governance and Architecture community.
 </li>
 <li>
 Build our capability by training and managing talented members of our team.
 
 
 </li>
 </ul>
 
 Connect To Your Skills And Professional Experience
 
 
 
 We are looking for candidates who are able to demonstrate skills and experience in some of the following.
 
 
 All candidates must hold a BSc of computer engineering or equivalent and have 3-6 years of experience in data engineering, modelling and analytics.
 
 
 
 Essential
 
 
 
 <ul>
 <li>
 Strong understanding of data solutions, including data modelling, data management, data quality, master data management, reference data, reporting and visualization, analytics and self-service business intelligence.
 </li>
 <li>
 Experience developing a &lsquo;common language for data&rsquo;, including data models (all types), data dictionaries, data vocabularies, taxonomies or ontologies.
 </li>
 <li>
 Demonstrate an understanding of data modelling principles and familiarity with processes, policies and any of the key data modelling tools.
 </li>
 <li>
 Experience in engaging with both Business and IT stakeholders to document business outcomes and objectives for large-scale solutions and programmes.
 </li>
 <li>
 Led data design workshops, including defining client requirements, document data models and reviewing output with stakeholders.
 </li>
 <li>
 Be able to assimilate and apply new techniques and knowledge to achieve business outcomes.
 </li>
 <li>
 Work within an inclusive team culture where people are recognized for their contribution helping them grow their career in Deloitte.
 
 
 </li>
 </ul>
 Desirable
 
 
 Consulting experience, including;
 
 
 <ul>
 <li>
 Working on client facing projects.
 </li>
 <li>
 Experience of contributing to proposal writing, presentations and pre-sales activities.
 </li>
 <li>
 Excellent problem solving and analytical skills.
 </li>
 <li>
 Strong senior stakeholder management using clear communications and be able to form strong client relationships and explain complex data designs to business stakeholders.
 </li>
 <li>
 Experience in managing people, providing dynamic day-to-day workstream leadership that nurtures and develops junior talent, creating effective data design teams.
 </li>
 <li>
 TOGAF certified or certification/good exposure to architecture and data management frameworks.
 </li>
 <li>
 Experience in conducting architectural evaluation, design and analysis of enterprise-wide systems including on-premise and cloud-based solutions.
 </li>
 <li>
 Define transition states and alignment of solution and features across the work streams.
 </li>
 <li>
 Experience in defining the data components of an architecture blueprint and technology selection.
 </li>
 <li>
 Experience as part of effective cross-geography teams, making effective use of offshore delivery teams.
 </li>
 <li>
 Work with development teams to assure data design is translated into a robust implementation.
 </li>
 <li>
 Ability to size projects and shape delivery of large programmes.
 </li>
 <li>
 Good understanding of regulatory and compliance requirements such as GDPR, IFRS17, Solvency II.
 </li>
 <li>
 Establish technical design authorities to review and manage design decisions.
 </li>
 <li>
 Project Management experience of both waterfall and agile delivery approaches.
 
 
 </li>
 </ul>
 
 Connect to your service line - Consulting.
 
 
 
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 
 
 
 Connect to your Industry.
 
 
 
 &ldquo;What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte&rsquo;s clients include many of the world&rsquo;s largest organizations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo; Dan, Consulting
 
 
 
 Personal independence.
 
 
 
 Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.
 
 
 
 Connect to your agile working options.
 
 
 
 Your Work, Your Way: We call our hybrid working vision Deloitte Works. And it does. We trust you to make the right choices around where, when, and how you work. You&rsquo;ll be able to make decisions about how you work best, to be collaborative, learn from colleagues, share your experiences, build the relationships that will fuel your career and prioritise your wellbeing. Having great conversations with your team and your leadership paves the way for great collaborative ways of working.
 
 
 
 
 
 Our commitment to you
 
 
 
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
 
 
 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
 
 
 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
 
 
 
 Connect to your next step.
 
 
 
 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
</div>

Deloitte Innovation Hub I Senior Data Modelling Engineer, Cairo, Egypt

SWATX

<div>
 Senior Integration Developer/Analyst (IBM webMethods, Azure ...)
 
 
 We are seeking a highly experienced Senior Integration Developer and Analyst to handle the
 
 
 discovery, design, development, and migration of integration solutions.
 
 
 This role requires proficiency in IBM webMethods integration stack, coupled with strong analytical
 
 
 skills and documenting existing/new integrations.
 
 
 
 Responsibilities
 
 
 
 ∙Integration Analysis &amp; Requirements Gathering:
 
 
 oSupport in Reverse-Engineering: With help of technical team, analyse and
 
 
 document the logic, data flow, security, and protocols of existing custom integration
 
 
 solutions, specifically.
 
 
 oRequirements Collection: Collaborate with Business Analysts to collect, validate,
 
 
 and finalize the TO-BE Integration requirements for integrations.
 
 
 oTechnical Documentation: Create comprehensive technical design documents,
 
 
 integration mapping specifications, and detailed architecture diagrams for the new
 
 
 Integration platform.
 
 
 ∙Integration Platform Development:
 
 
 oSubject matter expert and developer using IBM webMethods integration platform
 
 
 (Integration Server, API Gateway, Universal Messaging , B2B ...etc)
 
 
 oPreferred: Experience using Azure integration platform (e.g., Azure Logic Apps,
 
 
 Azure Functions, Azure API Management, Azure Service Bus, Event Grid).
 
 
 oDesign and implement scalable, secure, and performant integration solutions,
 
 
 ensuring adherence to enterprise governance and best practices.
 
 
 oHandle migration of the existing G2G functionalities from the existing custom
 
 
 applications to the new Integration platform.
 
 
 
 Requirements
 
 
 
 Required Skills and Experience
 
 
 ∙ 5 to 7 years of experience in enterprise application integration and software development.
 
 
 ∙Hands-on expertise in IBM webMethods (required), Azure , and other integration platforms
 
 
 
 (Preferred)
 
 
 
 ∙Ability to analyse, read, and understand existing application logic.
 
 
 ∙Practical experience integrating systems with government entities or similar public sector
 
 
 environments is highly desirable.
 
 
 ∙Expert knowledge of RESTful APIs, SOAP, and securing web services (e.g., OAuth, JWT).
 
 
 ∙Ability to bridge the gap between technical code analysis and business requirements documentation.
</div>

Senior Integration Developer/Analyst (IBM webMethods, Azure)

Banque du Caire

<div>
 
 
 Job Summary:
 
 
 <ul>
 <li>
 Provide management with relevant, decision-oriented insights to support planning, controlling, and evaluating corporate activities. This role operates within a framework focused on profit planning, performance management, and effective business control implementation across all levels.
 </li>
 <li>
 Highlight organizational strengths to enable management to capitalize on available opportunities, while correlating multiple data points to develop strategies that enhance operational efficiency.
 </li>
 </ul>
 
 
 
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 Prepare the Monthly Business Review and ALCO Pack, covering assets, liabilities, trade, income, and fees growth/decline. This includes identifying unutilized facilities and limits, reviewing credit ratings (direct and contingent), and preparing GAP analysis reports for management.
 </li>
 <li>
 Develop presentations reflecting corporate performance across financial results, products, segmentation, customer acquisition, initiatives, and short- to medium-term plans.
 </li>
 <li>
 Conduct data mining and build comprehensive analytical models using multiple data sources, particularly large datasets. Identify income leakage, monitor adherence to discretion matrices, and ensure compliance with established policies and procedures.
 </li>
 <li>
 Act as a liaison between Institutional Business MIS, Finance, Operations, and IT departments to define data requirements and ensure the quality and accuracy of output data.
 </li>
 <li>
 Support GTB and Institutional Business departments with reporting, business development insights, market data analysis, and management information requirements.
 </li>
 <li>
 Oversee all reporting requests related to Institutional Business MIS and drive automation initiatives to enhance MI quality, reduce turnaround time (TAT), minimize errors, and mitigate risks. Conduct market research, peer analysis, and industry benchmarking as needed.
 </li>
 <li>
 Ensure timely responses to management and stakeholder requests, including handling ad hoc assignments and generating statistical analyses.
 </li>
 <li>
 Manage, monitor, and control GLs owned by GTB and Business, ensuring all manual transactions are properly authorized and reviewed to prevent income leakage.
 </li>
 <li>
 Support Relationship Managers (RMs) in accurately updating pipeline deals, flag inconsistencies, and develop models to estimate profitability and portfolio growth.
 </li>
 <li>
 Enhance stakeholder performance by monitoring call-reporting activities against targets and analyzing their impact on income generation.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 Bachelor's degree in finance, Accounting, Business Administration, Economics, or a related discipline.
 </li>
 <li>
 MIS Analyst: 2&ndash;3 years of relevant experience.
 </li>
 <li>
 Senior MIS Analyst: 3&ndash;5 years of relevant experience.
 </li>
 </ul>
 
 
</div>

MIS Analyst/ Senior Analyst

Explore 505+ Senior data analyst in Cairo this March. Find roles across top companies and apply now to boost your career.