data analyst

data engineer

financial analyst

ai developer

ai/ml engineer

data analytics 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

MedNet Egypt L.L.C

<div>
 
 
 MedNet Egypt
 
 is one of the leading managed care service organizations that cater to healthcare needs. We are looking for a skilled
 
 Senior Data Analyst
 
 who will be responsible for providing support to Operations teams through quantitative analysis and forecasts. In addition to enabling all stakeholders to make better and quicker decisions and thus ultimately improve the Operations&acute; performance and employee engagement.
 
 
 
 
 
 
 Your Job
 
 
 <ul>
 <li>
 Ensure timely refreshed dashboards are available to stakeholders as expected in terms of accuracy and integrity
 </li>
 <li>
 In cooperation with the senior data analyst, delivering the expected enhancement of the existing dashboards as planned and discussed with the stakeholders
 </li>
 <li>
 Propose new enhancement of the existing dashboards that facilitate the required information to the stakeholders e.g. new charts, logics&hellip;etc.
 </li>
 <li>
 Enhance existing dashboards based on received feedback based on agreed planning, timelines&hellip;etc.
 </li>
 <li>
 Support operations in providing the necessary outcomes/details for their presentations and KPIs monitoring
 </li>
 <li>
 Document the operational processes as applicable and ensure that any changes are reflected in the dashboards as applicable
 </li>
 <li>
 Consolidate all data available into one center and identify all relationship as applicable
 </li>
 <li>
 Develop triggering reports that assist other stakeholders to review their processes for any updates if any
 </li>
 </ul>
 
 
 
 
 
 Your Profile
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, engineering, mathematics/applied statistics, finance or demonstrated relevant work experience
 </li>
 <li>
 +1years&rsquo; experience in reporting or resource planning functions, in a customer focused and performance-driven organisation.
 </li>
 <li>
 Advanced excel /VBA and analytical skills. Experience in using query languages such as SQL
 </li>
 <li>
 Advanced skills in analytical tools such as Oracle cloud BI, Power BI&hellip;etc.
 </li>
 <li>
 Good command of English
 </li>
 <li>
 Team player and integrity. Self-starter with growth mindset and &ldquo;make it happen&rdquo; attitude
 </li>
 <li>
 Creativity and problem-solving skills.
 </li>
 <li>
 Project management experience is preferable.
 </li>
 <li>
 Previous experience in business intelligence consultancy and/or BPO industry is a plus
 </li>
 </ul>
</div>

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

Darkroom

<div>
 
 About Darkroom
 
 
 
 Darkroom is a technology-driven growth marketing firm focused on growth-stage consumer companies. We were founded in 2017 out of a conviction that the iconic ad agencies of tomorrow would look very different. Darkroom is a human services firm built on a universal AI commerce layer called Matter. Our model deploys a unique blend of senior, human resources enriched by an agentic technology stack that enhances output, efficiency, and revenue generation for our clients.
 
 
 Our team has been responsible for billions of dollars in trackable revenue across the various e-commerce marketplace, direct-to-consumer, and social commerce programs under management. Using research aggregated across these engagements, we accelerate results for our portfolio by developing high-impact digital strategies that unlock gateways to revenue growth, transform marketing operations, and prioritize profitability.
 
 
 What started as a boutique design agency evolved into one of the fastest-growing private companies in America (Inc. 5000), one of the most successful results-driven performance media agencies of the 2020s (Varos), and esteemed recognition by Forbes 30 Under 30 for our founders&rsquo; contribution in Marketing &amp; Advertising (Forbes).
 
 
 
 About The Role
 
 
 
 We&rsquo;re hiring a
 
 Financial Data Analyst
 
 to own the financial engine behind our internal planning system (&ldquo;Flight Plan&rdquo;) and our client economics at scale. This role sits at the center of FP&amp;A, data engineering, and media performance&mdash;building and maintaining the systems, logic, and reporting that turn spend into forecasts, and forecasts into decisions.You will manage client P&amp;Ls, revenue projections, and capacity planning across a growing portfolio. This is
 
 not a reporting role
 
 . You will design and maintain the financial and analytical infrastructure leadership and client teams rely on to allocate budget, price work, and scale accounts profitably.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Own Flight Plan Operations at Scale
 
 
 
 <ul>
 <li>
 Run, maintain, and continuously improve Flight Plan workflows across clients (inputs, assumptions, validation, outputs).
 </li>
 <li>
 Build guardrails to ensure plans are accurate, consistent, and resilient as volume and complexity grow.
 
 
 </li>
 </ul>
 
 Build and Maintain Client P&amp;Ls
 
 
 
 <ul>
 <li>
 Own client-level P&amp;Ls including revenue, COGS, delivery costs, gross margin, and contribution.
 </li>
 <li>
 Create standardized views that roll up by client, segment, pod, channel, or product line.
 
 
 </li>
 </ul>
 
 Forecast Revenue and Profitability
 
 
 
 <ul>
 <li>
 Develop revenue and margin forecasts tied to media plans, pacing, retention, fees, and performance assumptions.
 </li>
 <li>
 Own forecast accuracy by tracking error, diagnosing drivers, and iterating the underlying logic.
 
 
 </li>
 </ul>
 
 Engineer the Underlying Data Foundation
 
 
 
 <ul>
 <li>
 Write production-quality SQL to model data cleanly, including transformations, definitions, and QA checks.Use Python to automate workflows, validate inputs, and generate repeatable outputs.Build scalable Google Sheets systems that are front-end friendly without being fragile.
 </li>
 <li>
 Leverage Claude Code and AI-assisted development tools to accelerate model development, automation, testing, and documentation while maintaining high standards of accuracy and auditability.
 
 
 </li>
 </ul>
 
 Translate Marketing and Media into Financial Truth
 
 
 
 <ul>
 <li>
 Connect performance metrics (spend, CAC, MER, ROAS, contribution margin, LTV assumptions) to client economics.
 </li>
 <li>
 Help teams understand what&rsquo;s happening, why it&rsquo;s happening, and what actions to take next.
 
 
 </li>
 </ul>
 
 Create Executive-Ready Decision Tooling
 
 
 
 <ul>
 <li>
 Ship dashboards, scenario models, and summaries leadership can use immediately.
 </li>
 <li>
 Establish and maintain single-source-of-truth definitions for revenue, margin, and performance metrics.
 
 
 </li>
 </ul>
 You should apply if this sounds like you:
 
 
 <ul>
 <li>
 Fluent in English
 </li>
 <li>
 You operate at a wizard-level in Google Sheets, SQL, and Python&mdash;you build systems people depend on.
 </li>
 <li>
 You have hands-on experience owning P&amp;Ls, forecasting, and building FP&amp;A systems that survive messy real-world data.
 </li>
 <li>
 You understand marketing economics: fees, media spend, pacing, channel mix, and measurement noise.
 </li>
 <li>
 You&rsquo;ve built scalable, production-grade workflows with validation, error handling, documentation, and repeatability.
 </li>
 <li>
 You are proficient with Claude Code or similar AI coding tools and use them effectively to move faster without sacrificing rigor.
 </li>
 <li>
 You are allergic to ambiguity and weak definitions and push for clean inputs and consistent logic.
 </li>
 <li>
 You communicate with precision and can explain complex financial systems to operators and executives.
 </li>
 <li>
 You prefer ownership over supervision and shipping over slide decks.
 
 
 </li>
 </ul>
 
 Working at Darkroom
 
 
 
 Darkroom is not a typical agency. We are looking for A players that want to build something great. There is no room in our organization for mediocrity and candidates that are not at the top of their game do not last. We move fast, think deeply, and expect every team member to bring insight and rigor to everything they touch. We hold a high bar for performance, creativity, and ownership &mdash; but we also support each other relentlessly. No egos, no red tape &mdash; just world-class talent building something remarkable.
 
 
 We believe in
 
 autonomy with accountability
 
 ,
 
 truth over comfort
 
 , and
 
 outcomes over optics
 
 . If you want to build and win alongside some of the smartest people in the business, you&rsquo;ll thrive here.
 
 
 <ul>
 <li>
 Location, location, (or no) location: Remote-first culture with a strong community base. While many roles remain fully remote, employees hired to work from our New York or Lisbon HQs (opening early 2026) are expected to adopt a hybrid working model, including weekly in-office appearances. Hub locations also include the Bay Area, Philly, S&atilde;o Paulo, and Barcelona.
 </li>
 <li>
 Parental Leave: flexible parental leave benefits to support new parents during this important transition, ensuring time to bond with their families while maintaining work-life balance.
 </li>
 <li>
 Endless opportunities for growth: Our agency is founded on an interdisciplinary approach, giving Darkroomers insights into services far beyond your job description. Grow your skills and interests beyond your niche and stay at the forefront of the industry through total immersion in cross-functional collaboration.
 
 
 </li>
 </ul>
 
 Equal Opportunity Statement
 
 
 
 Darkroom is an equal opportunity workplace&mdash;we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements
 
 
</div>

Financial Data Analyst (Flight Plan, FP&A, Marketing Analytics)

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

inDrive

<div>
 
 Drive data-informed decisions across identity, authorization, and early user journey by leading analytical initiatives focused on funnel performance, cost efficiency, and strategic adoption. Leverage strong product analytics expertise to optimize authentication flows, reduce operational costs, and improve conversion from install to superapp usage.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead analytics initiatives across identity, authorization, and onboarding flows, with a focus on conversion, cost efficiency, and user experience
 </li>
 <li>
 Analyze the end-to-end authorization and onboarding funnel to identify drop-off points, behavioral patterns, and improvement opportunities
 </li>
 <li>
 Conduct in-depth SMS cost decomposition and estimate the impact of optimization initiatives
 </li>
 <li>
 Research, design, and evaluate alternative confirmation methods and authorization scenarios, including switchback experiments and A/B tests
 </li>
 <li>
 Define and assess the economic efficiency of authorization methods, balancing conversion, reliability, and cost
 </li>
 <li>
 Drive analytical research for the install &rarr; superapp adoption funnel, identifying levers to improve early user engagement and product choice
 </li>
 <li>
 Formulate hypotheses, design experiments, and evaluate the impact of changes on key product and business metrics
 </li>
 <li>
 Partner closely with product, engineering, marketing, and operations teams to translate insights into actionable product decisions
 </li>
 <li>
 Build and maintain dashboards, reports, and analytical self-serve tools for product and business stakeholders
 </li>
 </ul>
 
 
 
 
 
 Skills, Knowledge and Expertise
 
 
 <ul>
 <li>
 3+ years of experience as a Product Analyst, Data Analyst, or in a similar analytical role
 </li>
 <li>
 Strong product analytics mindset with the ability to independently structure ambiguous problems and prioritize high-impact initiatives
 </li>
 <li>
 Advanced SQL skills and hands-on experience working with large-scale datasets
 </li>
 <li>
 Strong practical experience using Python for data analysis, including complex data transformations, exploratory analysis, and metric computation
 </li>
 <li>
 Solid understanding of product funnels, onboarding flows, and user decision-making scenarios
 </li>
 <li>
 Experience designing and analyzing experiments (A/B testing, scenario comparison)
 </li>
 <li>
 Proficiency with BI and visualization tools (e.g., Tableau, Looker, Redash)
 </li>
 <li>
 Strong communication skills with the ability to clearly explain insights to both technical and non-technical stakeholders
 </li>
 </ul>
 
 
 
 
 
 Conditions
 
 
 <ul>
 <li>
 Stable salary, official employment
 </li>
 <li>
 Health insurance
 </li>
 <li>
 Hybrid work mode and flexible schedule
 </li>
 <li>
 Access to professional counseling services, including psychological, financial, and legal support
 </li>
 <li>
 Discount club membership
 </li>
 <li>
 Diverse internal training programs
 </li>
 <li>
 Partially or fully paid additional training courses
 </li>
 <li>
 All necessary work equipment
 </li>
 </ul>
</div>

Senior Product Analyst – Identity

York Towers

<div>
 York Holding Group is a diversified investment and development group with a portfolio spanning real estate, technology, and financial innovation. The group operates through three specialized business verticals that complement each other to drive growth across the real estate ecosystem, from large-scale property development, to next-generation PropTech solutions, to a regulated FinTech platform transforming real estate investment through digital tokenization and fractional ownership. United by a shared vision of innovation, transparency, and excellence, York Holding Group continues to shape the future of living, investing, and digital real estate experiences across the region.
 
 
 
 About Dwelleo
 
 
 
 
 Dwelleo
 
 is transforming real estate services through technology and automation.
 
 We are looking for a Business / System Analyst (Product, Data &amp; AI Focus)
 
 
 
 This is a
 
 non-traditional Business Analyst role
 
 , positioned at the intersection of
 
 business, product, data, and engineering
 
 . The role encompasses ownership of
 
 requirement structuring, system and data design, AI feature enablement, and end-to-end solution thinking
 
 .
 
 
 The ideal candidate operates seamlessly at both
 
 conceptual and technical levels
 
 , translating complex ideas into clear, scalable solutions.
 
 
 
 Key Responsibilities
 
 
 
 
 Business &amp; Product Analysis
 
 
 
 <ul>
 <li>
 Work closely with stakeholders to define requirements for: listing management, property data models, agent/broker workflows, and AI-powered features (price suggestions, listing quality, insights)
 </li>
 <li>
 Translate high-level ideas into functional requirements, user stories, and acceptance criteria
 </li>
 <li>
 Ensure requirements are aligned with early adopters and MVP scope, avoiding over-engineering
 
 
 </li>
 </ul>
 
 System &amp; Solution Design (Core Responsibility)
 
 
 
 <ul>
 <li>
 Design end-to-end system solutions, including listing lifecycle flows, AI enrichment pipelines, and data ingestion/normalization flows
 </li>
 <li>
 Create and maintain system architecture diagrams, integration and data flow diagrams, and sequence diagrams
 </li>
 <li>
 Ensure designs are scalable, extensible, and AI-ready
 
 
 </li>
 </ul>
 
 AI &amp; Data Enablement
 
 
 
 <ul>
 <li>
 Work with product and AI teams to define data flow requirements, structure AI inputs/outputs, and ensure explainability and traceability of AI-generated data
 </li>
 <li>
 Help define integration workflows and request optimization
 
 
 </li>
 </ul>
 
 Engineering Collaboration
 
 
 
 <ul>
 <li>
 Act as the primary point of clarity for developers
 </li>
 <li>
 Review and validate API contracts, backend logic assumptions, and data models
 </li>
 <li>
 Ensure implementation matches the intended design and business goals
 </li>
 <li>
 Support sprint planning, backlog grooming, and technical discussions
 
 
 </li>
 </ul>
 
 Must-Have
 
 
 
 
 Required Skills &amp; Experience:
 
 
 
 <ul>
 <li>
 5+ years experience as a Business Analyst / System Analyst
 </li>
 <li>
 Proven experience in solution design and system architecture
 </li>
 <li>
 Strong understanding of backend systems, REST APIs, and event-driven workflows
 </li>
 <li>
 Solid knowledge of relational database design
 </li>
 <li>
 Experience working on marketplace, SaaS, or data-heavy platforms
 </li>
 <li>
 Ability to produce clear technical diagrams and documentation
 </li>
 <li>
 Strong analytical and structured thinking
 
 
 </li>
 </ul>
 
 Strong Advantage
 
 
 
 <ul>
 <li>
 Experience with AI-driven or data-intensive products
 </li>
 <li>
 Real estate, prop-tech, fintech, or marketplace experience
 </li>
 <li>
 Experience with pricing engines, scoring models, or analytics dashboards
 </li>
 <li>
 Familiarity with cloud-based architectures (AWS preferred)
 </li>
 <li>
 Ability to challenge requirements and propose better system solutions
 </li>
 </ul>
</div>

Business / System Analyst

Explore 328+ Data analytics analyst in Cairo this February. Find roles across top companies and apply now to boost your career.

328 data analytics analyst jobs In Cairo

Data Analyst

Data Analyst

Data Scientist II - QuantumBlack, AI by McKinsey

Financial Data Analyst (Flight Plan, FP&A, Marketing Analytics)

Data Scientist II

Senior Product Analyst – Identity

Business / System Analyst