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control & reporting assistant analyst Jobs in Cairo

control & reporting assistant analyst

control & reporting asst analyst Jobs in Cairo

control & reporting asst analyst

data analyst

Red Bull

<div>
 As a Data Analyst Specialist, you will support data-driven decision-making across our commercial organization. You will help analyze, model, and visualize structured and semi-structured data to generate actionable insights for leadership and field teams. You&rsquo;ll work closely with cross-functional stakeholders to translate business questions into clear metrics, dashboards, and analysis that improve performance, efficiency, and execution in a fast-paced FMCG environment.As a Data Analyst Specialist, you will support data-driven decision-making across our commercial organization. You will help analyze, model, and visualize structured and semi-structured data to generate actionable insights for leadership and field teams. You&rsquo;ll work closely with cross-functional stakeholders to translate business questions into clear metrics, dashboards, and analysis that improve performance, efficiency, and execution in a fast-paced FMCG environment.
 
 
 
 All the responsibilities we'll trust you with:
 
 
 
 
 Data Analysis &amp; Insights
 
 
 
 Investigate business performance to identify growth, optimization and efficiency opportunities. Deliver clear, fast insights that support decisions in a high-velocity environment. Analyze customer behavior, purchasing patterns, and volume drivers across the customer lifecycle. Support ad-hoc analysis and recurring deep-dive (channel performance, outlet segmentation, promo/seasonality impact, etc&hellip;)
 
 
 
 Reporting, Dashboards &amp; KPI Tracking
 
 
 
 Help Define and Standardize Key business performance metrics. Build and maintain Dashboards and reports with strong storytelling and usability. Monitor data quality and ensure accuracy, consistency and scalability across reporting outputs. Automate recurring reporting where possible to reduce manual effort and improve reliability.
 
 
 
 Data Preparation &amp; Automation
 
 
 
 Clean, transform and consolidate datasets from multiple sources (Excel files, system exports, 3rd party data, census data, etc&hellip;) Use Python to automate workflows (data prep, validation checks, recurring exports, KPI Pipelines, etc&hellip;) Maintain well-documented, reusable analysis outputs (templates, scripts, refresh steps.
 
 
 
 Your areas of knowledge and expertise that matter most for this role:
 
 
 
 <ul>
 <li>
 2-4 years of experience in Data Analytics or Business Analyst role
 </li>
 <li>
 Strong Advanced Excel skills
 </li>
 <li>
 Strong background with Power BI (Power Query, data modelling, DAX measures and dashboard design) or similar visualization tool (SAC, Tableau, Metabase, etc..)
 </li>
 <li>
 Good Python foundations
 </li>
 <li>
 Strong analytical thinking and ability to translate ambiguous business asks into measurable outputs.
 </li>
 <li>
 Clear communication and ability to present insights simply to non-technical stakeholders.
 </li>
 <li>
 FMCG Experience (nice to have)
 </li>
 <li>
 RTM Projects Experience (nice to have)
 </li>
 <li>
 GIS tools exposure (nice to have)
 </li>
 <li>
 Familiarity with SQL (nice to have)
 </li>
 <li>
 Familiarity with Trifecta and Snowflake (nice to have)
 </li>
 </ul>
</div>

Data Analyst

Spiralyze

<div>
 
 
 Department:
 
 Analytics
 
 
 
 Location:
 
 Remote (Cairo)
 
 
 
 Compensation:
 
 $800 - $1,200 / month
 
 
 
 
 Description
 
 
 
 You are a detective investigating client web analytics data to shape our understanding of what is happening on their website.
 
 
 This is a great opportunity for someone early in their analytics career who&rsquo;s eager to learn, dependable, and comfortable working with data and tools across the funnel.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 
 Data Analysis
 
 . Study client website data and create reports using Google Sheets, Analytics software (e.g., Google Analytics 4), CRM Tools (Hubspot, Marketo, Salesforce, etc.), etc.
 </li>
 <li>
 
 Data Issue Analysis
 
 . Detect data anomalies and find root causes.
 </li>
 <li>
 
 Requirements Gathering
 
 . Communicate with project managers to adjust key reports tailored to specific client needs
 </li>
 <li>
 
 Organization
 
 . Maintain a database of reports to ensure up-to-date documentation
 </li>
 <li>
 
 Opportunity Spotting
 
 . Use data analysis to find the best opportunities on the client page for A/B testing
 
 
 </li>
 </ul>
 
 Skills, Knowledge and Expertise
 
 
 
 <ul>
 <li>
 
 Google Sheets.
 
 Strong working knowledge.
 </li>
 <li>
 
 English Communication.
 
 Fluent in spoken and written English.
 </li>
 <li>
 
 Learning.
 
 Quick learner who can adapt to a wide range of client tools.
 </li>
 <li>
 
 Data Literacy.
 
 Strong understanding of how data works and high attention to detail.
 </li>
 </ul>
 
 Nice to Have
 
 <ul>
 <li>
 
 Analytics &amp; CRM Tools.
 
 Familiarity with GA4 and CRM tools such as HubSpot, Marketo, or Salesforce is a plus.
 </li>
 <li>
 
 Experience.
 
 Around 1 year of experience in analytics is a plus.
 
 
 </li>
 </ul>
 
 What You'll Get
 
 
 
 <ul>
 <li>
 
 Clear promotion opportunities.
 
 We invest heavily in training and promote almost exclusively from within. Most leaders at Spiralyze started in entry-level roles.
 </li>
 <li>
 
 Tech reimbursement.
 
 Need a better computer, monitor, or setup? Want training on Figma or GA4? We&rsquo;ll help.
 </li>
 <li>
 
 In-demand skills.
 
 You&rsquo;ll learn Conversion Rate Optimization from the most experienced experimentation teams in the world.
 </li>
 <li>
 
 Time to recharge.
 
 20 days of paid vacation plus holidays.
 </li>
 <li>
 
 Flexible working hours.
 
 Must overlap 8am - 12pm EST (New York Time); the rest of the hours are flexible.
 </li>
 </ul>
</div>

Junior Analytics Specialist

<div>
 
 
 
 Company Overview
 
 :
 
 
 
 
 
 
 Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at www.dar.com.
 
 
 
 
 
 
 Our Vision and Values:
 
 
 
 
 
 
 We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:
 
 
 
 
 <ul>
 <li>
 Excellence
 </li>
 <li>
 Responsibility
 </li>
 <li>
 Empowerment
 </li>
 <li>
 Connectivity
 </li>
 <li>
 Courage
 </li>
 </ul>
 
 
 
 
 J
 
 
 Job Purpose:
 
 
 
 
 
 
 
 The role of a Data Scientist at Dar will be to extract actionable insights from databases and large, complex datasets to improve design decisions, optimize processes, and enhance project performance. They leverage statistical analysis, machine learning, and predictive modeling and analysis to support data-driven strategies across the project lifecycle.
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 Collect, clean, and analyze structured and unstructured data from design, construction, and operational sources.
 </li>
 <li>
 Extract features from multi-formats data sources
 </li>
 <li>
 Develop predictive models for project scheduling, cost estimation, risk assessment, and resource optimization.
 </li>
 <li>
 Visualize data and communicate insights through dashboards, reports, and presentations.
 </li>
 <li>
 Collaborate with engineers, architects, and project managers to translate business needs into data-driven solutions.
 </li>
 <li>
 Evaluate and implement advanced analytics techniques such as machine learning, NLP, and time-series forecasting.
 </li>
 <li>
 Ensure data quality, governance, and compliance within AEC data systems.
 </li>
 <li>
 Research and apply emerging data science tools and methods to AEC industry.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Values Alignment
 
 
 
 (Expected behaviors that reflect Dar&rsquo;s values, tailored to the level and responsibilities of the role.)
 
 </li>
 <li>
 Demonstrates analytical thinking, independence in execution, professionalism, transparency, communication, and accountability in delivering quality outcomes while fostering collaboration across teams.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Data Science, Statistics, Computer Science, or a related field.
 </li>
 <li>
 Strong proficiency in Python and SQL and experience with data analysis libraries (Pandas, NumPy, Scikit-learn), and data visualization tools (Power BI),
 </li>
 <li>
 Experience using LLMs for multi-format documents processing
 </li>
 <li>
 Experience working with RDBMS (e.g. PostgreSQL, Microsoft SQL Server) and cloud platforms (AWS, Azure, or GCP).
 </li>
 <li>
 Experience working with machine learning algorithms, statistical modeling
 </li>
 <li>
 Experience in data pipeline development is a plus.
 </li>
 <li>
 Excellent analytical thinking, problem-solving, and communication skills.
 </li>
 <li>
 Familiarity with AEC data formats and tools (e.g., BIM) is a plus.
 </li>
 </ul>
 
 
 
 
 
 
 Kind Note
 
 :
 
 
 
 
 
 
 
 * While we carefully review all applications, only candidates meeting the specified requirements will be contacted for further consideration. We appreciate your understanding and thank all applicants for their interest.
 
 
</div>

Data Scientist

Finaira

<div>
 The Data Scientist 2 will independently design, develop, and deploy AI and machine learning models to address complex business challenges within the financial sector. This role requires a strong understanding of data science methodologies, proficiency in relevant tools and technologies, and the ability to translate business needs into effective analytical solutions.
 
 
 The Data Scientist 2 will collaborate with cross-functional teams and communicate findings with increasing independence.
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Project contributions, model development &amp; refinement, and mentorship
 </li>
 <li>
 Lead specific modules or components within larger data science projects
 </li>
 <li>
 Develop and optimize existing machine learning models for improved performance
 </li>
 <li>
 Conduct in-depth data analysis and interpretation to identify actionable insights for banking applications
 </li>
 <li>
 Mentor junior data scientists on technical best practices
 </li>
 <li>
 Collaborate with cross-functional teams to integrate models into business processes
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Education:
 
 
 
 Bachelor's degree in Data Science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with excellent academic record.
 
 
 
 Experience:
 
 0-3 years of experience, including internships or academic projects. Experience in the financial services industry is a plus.
 
 
 
 Technical Skills:
 
 o Basic proficiency in one or more programming languages (e.g., Java, Python, JavaScript).
 
 
 Basic knowledge of software development frameworks (e.g., Spring, Django, React).
 
 
 Basic experience with databases (SQL).
 
 
 Understanding basic software design principles.
 
 
 Familiarity with version control systems (e.g., Git).
 
 
 Basic familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
 
 
 <li>
 
 
 </li>
 
 Soft Skills:
 
 
 
 Developing problem-solving and analytical skills.
 
 
 Ability to work independently and as part of a team.
 
 
 Developing communication and collaboration skills.
 
 
 Attention to detail and a willingness to learn.
 
 
 Customer-centric approach to understanding needs.
 
 
 Team player.
 
 
 Developing a disciplined work ethic.
 
 
 Good command of English language, both verbal and written.
 
 
 Self-learner with a positive attitude
</div>

Data Scientist II

QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 You will use data creatively to solve business challenges, often uncovering new and transformative opportunities along the way.
 
 
 In this role, you will focus on the development of advanced analytics models to optimize underlying business problems. You will apply state-of-the-art advanced analytics, quantitative tools and modeling techniques to interpret, make inferences and offer recommendations based on insights from the data. You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways and initiating new lines of thinking within an infinite number of clients and situations.
 
 
 You will create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data. You will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques to derive business insights, solve complex business problems and improve decisions. You will review, support and advise on the day-to-day analytics requirements of clients&rsquo; key operational processes while continually improving the impact of these processes.
 
 
 You will be based one of our Middle East offices as part of our QuantumBlack, AI by McKinsey team, partnering with consultants, clients, and other colleagues.
 
 
 Our QuantumBlack, AI by McKinsey teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Undergraduate degree in mathematics, statistics, physics, engineering; master's degree is a plus
 </li>
 <li>
 5 years of professional experience in programming; experience applied to business problems is a plus
 </li>
 <li>
 Experience in programming (focus on machine learning) in Python; knowledge in SPSS, SAS, Ruby, Hadoop is a plus
 </li>
 <li>
 Experience in data treatment/data mining: SQL, AWK, Access, Spark, Excel
 </li>
 <li>
 Demonstrated aptitude for analytics; statistical knowledge is a plus
 </li>
 <li>
 Proven record of leadership in a work setting and/or through extracurricular activities
 </li>
 <li>
 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
 </li>
 <li>
 Ability to communicate complex ideas effectively, both verbally and in writing, in English required; fluency in local office language(s) is a plus
 </li>
 </ul>
</div>

Data Scientist II - QuantumBlack, AI by McKinsey

mylo

<div>
 
 mylo
 
 is a fintech platform dedicated to helping millions of people and businesses thrive by providing accessible and responsible financial solutions. Whether you're purchasing a mobile phone, a new jacket, a flight ticket, a comfy couch, or even covering school tuition, mylo enables you to buy now and pay later at thousands of points of sale across Egypt. Born out of B.TECH&mdash;Egypt's leading electronics and appliances retailer with over 27 years of experience in offering buy now, pay later solutions&mdash;mylo brings a legacy of trust and innovation to the fintech space. All mylo products are fully Sharia-compliant, ensuring ethical and inclusive financial practices.
 
 
 The Role We are looking for a Staff Data Scientist to lead the technical strategy for our decisioning engines. You will operate at the intersection of Data Science and Software Engineering, designing high-scale systems that power multiple business lines&mdash;from Growth &amp; Pricing to Underwriting &amp; Collections. You will move beyond simple model building to architecting robust, reproducible MLOps pipelines that serve real-time financial decisions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Multi-Domain Technical Strategy: Lead the development of ML solutions across diverse contexts, ensuring that models for Credit Risk, Pricing Elasticity, and Collection Optimization utilize shared infrastructure efficiently
 </li>
 <li>
 MLOps Architecture: Champion the adoption of modern Model Serving frameworks and Feature Stores. Design workflows that ensure feature consistency between training and real-time inference
 </li>
 <li>
 Engineering Standards: Establish rigorous standards for Data Versioning, experiment tracking, and Hyperparameter Optimization, ensuring all research is reproducible and production-ready
 </li>
 <li>
 Production Deployment: Oversee the transition of models from notebook environments to low-latency production APIs. Ensure models are wrapped, containerized, and integrated seamlessly with backend services
 </li>
 <li>
 Mentorship: Guide the team in best practices for Python software engineering, including testing strategies, code structure, and performance optimization
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Experience: 7+ years in Data Science with a strong emphasis on production engineering. Experience in Fintech, Lending, or Risk is highly preferred
 </li>
 <li>
 ML Proficiency: Deep understanding of both classical machine learning (Gradient Boosting, Statistical Models) and Deep Learning frameworks
 </li>
 <li>
 Production Engineering: Proven track record of deploying models in real-time environments. Familiarity with the concepts of Feature Stores and Model Registries is essential
 </li>
 <li>
 Technical Stack: Expert-level Python skills. Strong proficiency in SQL and relational database design
 </li>
 <li>
 Strategic Thinking: Ability to translate complex business KPIs (e.g., reducing Non-Performing Loans) into technical ML roadmaps
 </li>
 </ul>
</div>

Staff Data Scientist

<div>
 
 
 Position Overview
 
 
 
 
 
 
 
 As a Finance Analyst, you are responsible for analyzing and interpreting financial data of Teleperformance Benelux &amp; Suriname. The focus of the role is on providing insight into cost developments, variances versus budget and forecast, and supporting management decision-making with data-driven analyses.
 
 
 You work closely with accounting during the month-end close and support Business Control in preparing monthly forecasts and the annual budget. You translate complex financial data into clear reports and actionable insights for various stakeholders.
 
 
 You have a critical and analytical mindset and identify trends, risks, and improvement opportunities. Based on these analyses, you make well-founded recommendations to improve financial processes and cost control. You work in a structured and accurate manner and proactively contribute to optimization and innovation within Finance.
 
 
 In addition, you support monthly, quarterly, and annual closing reports. You analyze bonus calculations and contribute to the control and optimization of the Procure-to-Pay process in cooperation with the Purchasing Manager.
 
 
 As a Finance Analyst, you possess strong communication skills and are able to clearly and convincingly convey financial insights. You are a true team player and work closely with Controllers, Accounting, and the business to contribute to optimal financial results
 
 
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 (may perform other duties as requested, not specifically addressed in this document)
 
 <ul>
 <li>
 Analyze daily cost developments versus budget and forecasts.
 </li>
 <li>
 Weekly alignment with accounting for analysis and explanation of financial variances.
 </li>
 <li>
 Support and contribute to month-end closing activities.
 </li>
 <li>
 Prepare and analyze monthly, quarterly, and annual reports.
 </li>
 <li>
 Prepare and support performance reviews with budget holders.
 </li>
 <li>
 Identify cost-saving opportunities and process improvements.
 </li>
 <li>
 Contribute to quarterly forecasts and the annual budget process.
 </li>
 <li>
 Prepare and calculate business cases.
 </li>
 <li>
 Perform ad-hoc financial and operational analyses.
 </li>
 </ul>
 
 
 Key Performance Indicators:
 
 
 <ul>
 <li>
 Forecast accuracy
 </li>
 <li>
 Insight and control of company overheads
 </li>
 <li>
 Quality and timeliness of financial analyses and reports
 </li>
 <li>
 Contribution to company-specific finance projects
 </li>
 <li>
 Compliance: identification and follow-up of non-compliant items
 </li>
 </ul>
 
 
 
 
 Decisions Expected
 
 
 <ul>
 <li>
 Prioritizing and executing financial analyses.
 </li>
 <li>
 Advising based on financial data and insights.
 </li>
 </ul>
 
 
 Recommendations Expected
 
 
 <ul>
 <li>
 Substantiated recommendations to improve cost control and processes.
 </li>
 <li>
 Active contribution to project teams with a financial or analytical component.
 </li>
 </ul>
 
 
 
 
 
 
 Required Qualifications
 
 
 
 Education and specific Training:
 
 <ul>
 <li>
 Bachelor level in economics, e.g., Business Economics or Business Administration
 </li>
 </ul>
 
 Work Experience:
 
 <ul>
 <li>
 At least 3 to 5 years of experience in a financial or analytical role
 </li>
 </ul>
 
 
 
 
 
 Soft Skills &amp; Other Requirements
 
 
 
 Competencies and specific skills:
 
 <ul>
 <li>
 In-depth knowledge of accounting processes
 </li>
 <li>
 Interest in and knowledge of standards and laws and ability to translate them into practice
 </li>
 <li>
 Data analysis / numerical insight / reporting
 </li>
 <li>
 Ability to assess whether results and processes meet requirements
 </li>
 </ul>
</div>

Financial Controller

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