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data analyst - supply chain

data analytics

Luciq

<div>
 We are looking for a goal-oriented and technically brilliant Data Analyst to join our GTM Operations team. You will be the key link between our complex data systems and our Go-To-Market strategy, providing the insights that help our Sales, Marketing, and Leadership teams make smarter, faster decisions. If you have a passion for data visualization, a knack for modeling, and the business sense to know what matters, this is your role.
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Be the Insight Engine: Proactively analyze our diverse data to uncover trends, correlations, and opportunities that others might miss. Tell the story behind the numbers to influence our GTM strategy.
 </li>
 <li>
 Build the Foundation: Design, build, and maintain clean, reliable, and performant dashboards and reports in Looker that become the single source of truth for the entire company.
 </li>
 <li>
 Power Our Growth: Help build and refine sophisticated marketing attribution and sales forecasting models to directly measure and improve the effectiveness of our revenue teams.
 </li>
 <li>
 Champion Data Integrity: Establish standardized definitions for key metrics (like "active users" and "enterprise acquisition") to ensure clarity and consistency across all teams.
 </li>
 <li>
 Drive Efficiency: Identify and fix slow queries and data pipeline bottlenecks, working to streamline how we access and use our data.
 </li>
 <li>
 Support Key Initiatives: Collaborate on building financial models for critical, high-impact projects like pricing strategy.
 
 
 </li>
 </ul>
 What We're Looking For
 
 
 <ul>
 <li>
 A bachelor&rsquo;s degree in Data Analytics, Statistics, Business, or a related quantitative field.
 </li>
 <li>
 3+ years of professional experience in a Data Analyst, BI Analyst, or similar role.
 </li>
 <li>
 You are a SQL expert: You can write complex, optimized queries in your sleep.
 </li>
 <li>
 You are a visualization pro: You have advanced experience with Looker (or similar BI tools like Tableau, Power BI) and know how to make data intuitive and actionable.
 </li>
 <li>
 You have foundational data warehousing knowledge: Hands-on experience with Redshift, BigQuery, or Snowflake, and familiarity with ETL tools like Fivetran.
 </li>
 <li>
 You're a business-minded technologist: You don't just report the data; you understand what it means for the business and can make strategic recommendations.
 </li>
 <li>
 You're a brilliant communicator: You can effectively partner with and present to stakeholders from technical teams to company executives.
 
 
 </li>
 </ul>
 
 Bonus Points If You Have
 
 
 
 <ul>
 <li>
 Experience in a B2B SaaS environment.
 </li>
 <li>
 A background in Marketing, Product, or Sales operations.
 </li>
 <li>
 Experience with Python or R for statistical analysis.
 </li>
 </ul>
</div>

Data Analytics

Khazna

<div>
 
 
 Company Overview
 
 🚀
 
 
 
 
 
 Khazna was founded in 2019 with a mission to improve the financial well-being of the underbanked, who have little access to formal financial services by providing access to convenient, effective and secure smartphone-based financial services. Khazna has received the Central Bank of Egypt&rsquo;s first prepaid card license and aims to become the go-to specialized bank for underbanked mid-to-low-income consumers across the Middle East. In the next phase of its journey, Khazna is looking to continue scaling up its operations in Egypt and to launch its operations in Saudi Arabia.
 
 
 
 
 
 🌟We are consistently on the lookout for rock stars to help us solve for financial inclusion.
 
 
 
 
 
 
 Job Summary
 
 💼
 
 
 As the Head of Analytics at Khazna, you will be instrumental in building and running a team that will elevate our data-driven approach to new heights. This role encompasses leadership, innovation, and strategic thinking to propel our advanced analytics and automation team forward. We are seeking an exceptional candidate to build and lead a diverse team, revolutionize reporting, streamline data processes, and champion a culture of continuous improvement.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 
 Build and Lead a Diverse and High-Performing Team:
 
 </li>
 <li>
 Develop and implement strategies to attract and retain exceptional talent with diverse skill sets, creating a team that thrives on collaboration and innovation.
 </li>
 <li>
 Nurture an environment that encourages creativity, curiosity, and professional growth, leveraging each member&rsquo;s strengths to position our analytics and automation team as a center of excellence.
 </li>
 <li>
 
 Improve Reporting and Insights:
 
 </li>
 <li>
 Pioneer the development, implementation, and stabilization of state-of-the-art reporting systems that meet current needs and anticipate future requirements.
 </li>
 <li>
 Collaborate with cross-functional teams to proactively identify business trends and bottlenecks, ensuring our reporting remains a key driver of strategic decision-making and process improvement.
 </li>
 <li>
 
 Relieve Data Collection and Governance Bottlenecks:
 
 </li>
 <li>
 Conduct a comprehensive review of data collection processes, identifying and implementing solutions to optimize efficiency and accuracy.
 </li>
 <li>
 Institute and champion a culture of data governance, collaborating with Tech and Legal teams to ensure compliance with industry regulations.
 </li>
 <li>
 
 Promote a Data-Driven Culture:
 
 </li>
 <li>
 Own the data strategy and roadmap that enables data to become an enterprise-wide asset driving revenue growth and cost optimization.
 </li>
 <li>
 Lead by example in promoting a data-centric mindset across the organization, influencing teams at all levels to leverage data in decision-making processes.
 </li>
 <li>
 Establish and lead regular forums for knowledge-sharing and cross-functional collaboration, fostering a culture of continuous learning.
 </li>
 <li>
 Stay abreast of emerging trends and technologies, providing strategic insights to the executive team to drive future growth.
 </li>
 <li>
 
 Innovative Solutions and Research:
 
 </li>
 <li>
 Encourage and support the team in exploring innovative solutions and researching to stay ahead of industry trends.
 </li>
 <li>
 Foster an environment that encourages experimentation and the development of cutting-edge analytics and automation.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Proven experience (10+ years) in a leadership role within analytics, preferably in the fintech industry.
 </li>
 <li>
 Expert command in Python and SQL.
 </li>
 <li>
 Extensive knowledge of advanced analytics and automation technologies.
 </li>
 <li>
 Track record of building and managing diverse, high-performing teams.
 </li>
 <li>
 Exceptional problem-solving skills and the ability to translate complex data into strategic business insights.
 </li>
 <li>
 Expertise in implementing data governance and quality assurance processes.
 </li>
 <li>
 Strong communication and interpersonal skills with the ability to influence and collaborate across different departments.
 </li>
 </ul>
 
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s. in Computer Science, Statistics, Data Science, Engineering, Mathematics, or a related field.
 </li>
 </ul>
 
 
 
 
 ✨
 
 Join Khazna
 
 and contribute your skills and expertise to our mission of revolutionizing digital payments 💳 and driving financial inclusion 🌍 across the region.
 
 
 
 
 
 🚀
 
 Apply now
 
 to be part of a team that is shaping the future of finance in Egypt and Saudi Arabia!
 
 
 
</div>

Head of Data & Analytics

Qara Digital Solutions

<div>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Dashboard Development
 </li>
 <li>
 Design, develop, and maintain interactive dashboards and visualizations using Power BI to support strategic and Product decisions.
 </li>
 <li>
 Data Analytics &amp; Modeling
 </li>
 <li>
 Analyze large datasets to uncover trends, patterns, and insights
 </li>
 <li>
 Develop and optimize data models using dimensional modeling techniques to support analytics-driven decision-making.
 </li>
 <li>
 Digital Transformation
 </li>
 <li>
 Collaborate with business stakeholders to identify and implement data-driven solutions that improve efficiency and performance.
 </li>
 <li>
 Project Management
 </li>
 <li>
 Support the end-to-end data project lifecycle including requirements gathering, testing, deployment, and ongoing improvements.
 
 
 </li>
 </ul>
 
 Qualifications&amp; Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Statistics, Computer Science, Data Science, or a related field.
 </li>
 <li>
 Strong proficiency in Power BI and Excel.
 </li>
 <li>
 Solid knowledge of SQL and dimensional data modeling.
 </li>
 <li>
 Experience with Python for analytics, automation, and data manipulation.
 </li>
 <li>
 Strong foundation in statistical analysis, forecasting, and predictive modeling.
 </li>
 <li>
 Excellent analytical thinking, problem-solving, and attention to detail.
 </li>
 <li>
 Strong communication skills with the ability to present data findings clearly to both technical and non-technical stakeholders.
 </li>
 </ul>
</div>

Data Analyst

Homzmart

<div>
 
 Company Description
 
 
 
 
 Homzmart
 
 is an end to end community that connects home professionals with homeowners who can browse home designs, furniture, accessories and products and also can find reviews, referring professionals, take advice from professionals and read articles about home improvement.
 
 
 
 Job Description
 
 
 
 
 The Performance &amp; Analytics Manager plays a key role in leading Homzmart&rsquo;s data-driven performance management and forecasting initiatives. The role oversees the full analytics lifecycle &mdash; from data strategy and KPI alignment to predictive modeling and performance optimization &mdash; ensuring that every decision across the business is backed by accurate, actionable insights.
 
 
 
 
 Key Responsibilities
 
 
 
 
 Data Strategy &amp; Governance
 
 
 
 <ul>
 <li>
 Own and continuously enhance Homzmart&rsquo;s analytics framework, ensuring a single source of truth for all business KPIs.
 </li>
 <li>
 Define, document, and standardize metric definitions across commercial, marketing, and operations functions.
 </li>
 <li>
 Drive the integrity and consistency of all data sources and dashboards used for business reviews and decision-making.
 
 
 </li>
 </ul>
 
 Business Performance Analytics
 
 
 
 <ul>
 <li>
 Partner with senior leadership to monitor and analyze company performance across GMV, Items, AOV, and operational efficiency.
 </li>
 <li>
 Deliver daily, weekly, and monthly performance reporting packs with actionable insights and trend analysis.
 </li>
 <li>
 Conduct post-campaign, regional, and category performance reviews to identify growth opportunities and operational gaps.
 </li>
 <li>
 Translate analytical findings into clear business narratives to support strategic planning.
 
 
 </li>
 </ul>
 
 Forecasting &amp; Predictive Modeling
 
 
 
 <ul>
 <li>
 Lead the development of Homzmart&rsquo;s forecasting models to project GMV, item sales, and marketing-driven outcomes.
 </li>
 <li>
 Build machine learning models integrating seasonality, pricing, discounting, and external market factors such as currency and inflation.
 </li>
 <li>
 Develop scenario-based forecasting tools to simulate business performance under different budget or campaign settings.
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Work closely with product, sales, and technology teams to align marketing efforts with overall business objectives.
 </li>
 <li>
 Communicate performance insights and recommendations effectively to all relevant stakeholders.
 </li>
 <li>
 Build and maintain analytics frameworks that monitor production performance, warehouse capacity, and SLA achievement.
 </li>
 <li>
 Deliver actionable insights to improve operational planning, reduce bottlenecks, and optimize fulfillment efficiency.
 
 
 </li>
 </ul>
 
 Automation &amp; Tooling
 
 
 
 <ul>
 <li>
 Automate recurring reports and streamline manual workflows using Python, SQL, and BI tools.
 </li>
 <li>
 Ensure that all analytics outputs are scalable, well-documented, and aligned with Homzmart&rsquo;s data standards.
 
 
 </li>
 </ul>
 
 Leadership &amp; Stakeholder Enablement
 
 
 
 <ul>
 <li>
 Mentor junior analysts and upskill cross-functional teams on data literacy and analytical best practices.
 </li>
 <li>
 Act as a bridge between business and technical teams, ensuring alignment on data priorities and performance goals.
 </li>
 <li>
 Foster a proactive, insight-driven culture across the organization.
 
 
 </li>
 </ul>
 
 Key Achievements in Role
 
 
 
 <ul>
 <li>
 Built Homzmart&rsquo;s machine learning forecasting engine for GMV and SKU-level projections.
 </li>
 <li>
 Unified KPI definitions and automated performance dashboards across commercial and marketing teams.
 </li>
 <li>
 Introduced new analytical frameworks for production, fulfillment, and campaign evaluation.
 </li>
 <li>
 Supported strategic planning with predictive insights linking business targets to marketing and operational outcomes.
 
 
 </li>
 </ul>
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Economics, Statistics, Data Science, or related field.
 </li>
 <li>
 4&ndash;6 years of experience in Analytics, Business Intelligence, or Performance Management, preferably in e-commerce or digital business.
 </li>
 <li>
 Strong command of:
 </li>
 <ul>
 <li>
 SQL (data modeling, query optimization)
 </li>
 <li>
 Business Intelligence tools (e.g., Amazon QuickSight, Google Looker Studio, or similar)
 </li>
 <li>
 Excel / Google Sheets (analytical modeling and automation)
 </li>
 </ul>
 <li>
 Solid business understanding of e-commerce KPIs, growth levers, and performance tracking.
 </li>
 <li>
 Excellent communication and data storytelling skills.
 </li>
 <li>
 Proven track record of driving significant improvements in marketing performance and ROI.
 </li>
 <li>
 Strong analytical skills with proficiency in data analysis tools (e.g., Excel, SQL, Google Analytics, Adjust).
 </li>
 <li>
 Experience with A/B testing and conversion rate optimization (CRO) methodologies.
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to translate complex data into clear, actionable insights.
 </li>
 <li>
 Ability to work independently and as part of a team in a fast-paced environment.
 
 
 </li>
 </ul>
 Additional Information
 
 
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Advanced Python proficiency for data modeling, feature engineering, and automation (Pandas, Polars, Streamlit, ML frameworks)
 </li>
 <li>
 Experience with predictive modeling and demand forecasting using machine learning.
 </li>
 <li>
 Familiarity with data visualization design and dashboard scalability.
 </li>
 <li>
 Strong business acumen with the ability to translate analytics into strategic recommendations.
 
 
 </li>
 </ul>
 
 Success Indicators
 
 
 
 <ul>
 <li>
 Company KPIs fully standardized and aligned across all departments.
 </li>
 <li>
 Automated reporting ecosystem with minimal manual intervention.
 </li>
 <li>
 Forecasting accuracy continuously improves across business cycles.
 </li>
 <li>
 Data-driven culture embedded in decision-making across teams.
 </li>
 </ul>
</div>

Performance & Analytics Manager

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

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. 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 apply your passion for finding opportunities in data by using established tools and techniques or by innovating/building new ones.
 
 
 In this role, you will collaborate with highly talented business consultants and data-scientists to design and drive architecture and implementation planning for our clients and act as a big data evangelist, educating McKinsey's and client's teams on data engineering topics. You&rsquo;ll actively cooperate with data scientists and digital consultants to incorporate clients&rsquo; requirements and impactful analysis into our data products. You&rsquo;ll also be an expert in data engineering and advise relevant people at the firm on technical aspects of analytics engagements.
 
 
 You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways, and create new lines of thinking within an infinite number of clients and situations.
 
 
 Lastly, you'll do meaningful work that makes a real difference with our clients. This is a hybrid client-facing/technical role using state-of-the-art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, engineering, mathematics or another relevant subject
 </li>
 <li>
 3+ years of experience in big data related software development; experience with data modeling, design patterns and building highly scalable and secured solutions
 </li>
 <li>
 Background in development with practical experience with at least one general purpose programming languages (Python, R, C, Java, Scala, etc.)
 </li>
 <li>
 Familiar with big data platforms (SQL, Teradata, Hadoop, Spark)
 </li>
 <li>
 Experience preparing data for analytics and following a data science workflow
 </li>
 <li>
 Advanced knowledge of data structures and algorithms, networking, operating systems, standard unix/linux operating systems, version control and DevSecOps tool chains, etc.
 </li>
 <li>
 Ability to work with a myriad of data types (structured and unstructured), extracting information from modern and legacy data platforms and identify and perform linkages across disparate data sets
 </li>
 <li>
 Meaningful experience in extracting and loading data from multiple database technologies like RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata, Snowflake) and optionally NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
 </li>
 <li>
 Experience and interest in Cloud platforms such as AWS, Azure, GCP
 </li>
 <li>
 Commercial client-facing project experience is helpful
 </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; fluency in local office language(s) is a plus
 </li>
 </ul>
</div>

Data Engineer - 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. 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 create 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 in our Cairo office as part of our QuantumBlack, AI by McKinsey team, partnering with consultants, clients, and other colleagues.
 
 
 Our QuantumBlack, AI by McKinsey team brings 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>
 3+ 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; fluency in local office language(s) is a plus
 </li>
 </ul>
</div>

Data Scientist - QuantumBlack, AI by McKinsey

Explore 369+ Data analytics in Cairo this October. Find roles across top companies and apply now to boost your career.