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junior consumer insights analyst

Kijamii

<div>
 
 
 ABOUT Kijamii:
 
 
 
 Kijamii is an independent, award-winning advertising agency driven by innovation and culture, with a rich legacy of over 14 years, operating regionally with offices in Dubai, Cairo and Riyadh.
 
 
 
 
 
 
 Job Purpose:
 
 
 
 The Junior Consumer Insights Analyst is a passionate researcher who will lead and execute consumer insights and digital research projects by applying diverse research methods, analyzing data, and turning findings into actionable recommendations. The role acts as the main client contact, supports brand and agency teams in shaping communication strategies, and drives innovation in research frameworks and reporting. It requires independent project management, strong client communication, and proficiency in digital analytics tools to deliver measurable value and impact.
 
 
 
 
 
 
 RESPONSIBILITIES AND TASKS:
 
 
 <ul>
 <li>
 Chooses the right research approach to deliver value to clients (E.G Surveys, digital conversations, etc).
 </li>
 <li>
 Draws insights &amp; actionable recommendations from the research itself.
 </li>
 <li>
 Innovate in research framework, structure &amp; presentations.
 </li>
 <li>
 Independently handle diverse Consumer Insights projects.
 </li>
 <li>
 Acts as frontline for client communication.
 </li>
 <li>
 Works in liaison with brand teams, agency project managers to power up communication strategy &amp; campaign ideation outline.
 </li>
 </ul>
 
 
 
 
 
 JOB SPECIFICATIONS:
 
 
 
 
 Education
 
 
 
 Bachelor&rsquo;s degree in a related field
 
 
 
 Experience
 
 
 
 (0-2) years of experience in digital research/social listening or social media analytics.
 
 
 
 Skills
 
 
 
 
 
 <ul>
 <li>
 Acquainted with diverse research approaches.
 </li>
 <li>
 Proficient in social media reporting metrics.
 </li>
 <li>
 Skilled in using Google solutions (specifically Google Sheets &amp; Google Slides).
 </li>
 <li>
 Strong presentation skills with the ability to communicate independently with clients.
 </li>
 <li>
 Flexible and able to accommodate pop-up requests.
 </li>
 <li>
 Good knowledge of Excel.
 </li>
 <li>
 Proficient in social analytics tools and data analytics tools
 </li>
 <li>
 Previous experience in a marketing agency is a plus
 </li>
 </ul>
 
 
 
 
 This position is open until
 
 December, 24 2025
 
 
 
 
 
 
 Placement is based on the candidate&rsquo;s experience and skills. Only candidates who make it to the shortlist will be contacted.
 
 
 
 
 
 &ldquo;
 
 We thank all individuals who have expressed interest in working at Kijamii
 
 .&rdquo;
 
</div>

Junior Consumer Insights Analyst

Valeo

<div>
 Senior Business Intelligence Analyst
 
 
 Company:** Valeo Internal Automotive Software Egypt
 
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled and experienced Senior Business Intelligence Analyst to join our team at Valeo Internal Automotive Software Egypt. The successful candidate will be responsible for leveraging data to provide actionable insights, support strategic decision-making, and drive business growth within our innovative automotive software environment.
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain robust Business Intelligence (BI) solutions, including dashboards, reports, and data visualizations, to meet the evolving needs of various business units.
 </li>
 <li>
 Conduct in-depth data analysis to identify trends, patterns, and anomalies, providing clear and concise interpretations of complex datasets.
 </li>
 <li>
 Manage and optimize database systems, ensuring data integrity, security, and accessibility for BI initiatives.
 </li>
 <li>
 Implement and enforce data governance policies and procedures to maintain high-quality data standards across the organization.
 </li>
 <li>
 Perform advanced data mining techniques to uncover hidden insights and predictive patterns that inform business strategies.
 </li>
 <li>
 Develop and implement effective data modeling solutions to support efficient data storage and retrieval for analytical purposes.
 </li>
 <li>
 Collaborate with data science teams to integrate advanced analytical models and machine learning outputs into BI platforms.
 </li>
 <li>
 Create compelling and interactive data visualizations that effectively communicate key performance indicators (KPIs) and business insights to stakeholders at all levels.
 </li>
 <li>
 Design, build, and maintain enterprise-level Data Warehousing (DW) solutions, ensuring scalability and performance.
 </li>
 <li>
 Write and optimize complex Structured Query Language (SQL) queries to extract, transform, and load (ETL) data from various sources.
 </li>
 <li>
 Proactively identify opportunities for process improvement and data-driven automation within the BI landscape.
 </li>
 <li>
 Mentor junior analysts and contribute to the continuous improvement of the BI team's capabilities.
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Information Systems, Statistics, Mathematics, or a related quantitative field.
 </li>
 <li>
 Minimum of 5 years of progressive experience as a Business Intelligence Analyst or in a similar data-focused role.
 </li>
 <li>
 Proven expertise in Business Intelligence (BI) tools and platforms (e.g., Tableau, Power BI, QlikView).
 </li>
 <li>
 Strong proficiency in Data Analysis methodologies and statistical techniques.
 </li>
 <li>
 Extensive experience with Database Management systems (e.g., SQL Server, Oracle, PostgreSQL) and database design principles.
 </li>
 <li>
 Demonstrated understanding and practical application of Data Governance best practices.
 </li>
 <li>
 Experience with Data Mining techniques and tools.
 </li>
 <li>
 Solid background in Data Modeling (dimensional modeling, star schema, snowflake schema).
 </li>
 <li>
 Familiarity with Data Science concepts and their application in a business context.
 </li>
 <li>
 Exceptional skills in Data Visualization, with a portfolio showcasing effective dashboards and reports.
 </li>
 <li>
 In-depth knowledge and hands-on experience with Data Warehousing (DW) concepts and implementation.
 </li>
 <li>
 Advanced proficiency in Structured Query Language (SQL) for data manipulation and analysis.
 </li>
 <li>
 Excellent analytical, problem-solving, and critical thinking skills.
 </li>
 <li>
 Strong communication and presentation skills, with the ability to translate complex data into actionable business insights for non-technical audiences.
 </li>
 <li>
 Ability to work independently and as part of a collaborative team in a fast-paced environment.
 </li>
 </ul>
</div>

Senior Business Intelligence Analyst, BI

elmenus

<div>
 
 Job Description
 
 
 
 Senior Product Analyst
 
 
 Contract: Full-time, permanent
 
 
 Location: Remote / Flexible
 
 
 
 Role Overview
 
 
 
 As a Senior Product Analyst, you&rsquo;ll partner closely with our Tech, Growth, Commercial, and Business Operations teams to uncover insights that improve conversion, retention, and customer satisfaction. You&rsquo;ll own the end-to-end analytics lifecycle from defining success metrics and ensuring accurate instrumentation to delivering actionable insights that drive product performance.
 
 
 This role blends analytical depth with business intuition. You&rsquo;ll be a key player in translating raw data into meaningful decisions that enhance customer experience and drive growth.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Own end-to-end analysis of the user funnel to uncover drop-offs, quantify business impact, and identify actionable opportunities for improvement.
 </li>
 <li>
 Partner with Tech to validate event tracking, ensure data accuracy, and strengthen instrumentation.
 </li>
 <li>
 Define, monitor, and explain key performance metrics (conversion rate, retention, reorder rate, refund cycle time).
 </li>
 <li>
 Correlate operational issues (delivery delays, promo or payment errors) with customer satisfaction trends.
 </li>
 <li>
 Extract and quantify customer pain-points from reviews and support data to guide CX initiatives.
 </li>
 <li>
 Design and evaluate experiments in collaboration with Growth, Commercial, and Operations teams.
 </li>
 <li>
 Build and automate dashboards and recurring performance reports for leadership visibility.
 </li>
 <li>
 Translate complex data into clear, visual, and actionable recommendations that influence decisions.
 </li>
 <li>
 Drive a culture of data-driven decision-making across all business and technical functions.
 
 
 </li>
 </ul>
 Job requirements
 
 
 
 Required
 
 
 
 <ul>
 <li>
 5+ years of experience in product, growth, or business analytics within digital platforms (delivery, marketplace, or e-commerce).
 </li>
 <li>
 Strong experience with data visualization and BI tools (Tableau, Metabase, or Looker).
 </li>
 <li>
 Expertise in behavioral analytics platforms such as MoEngage, Mixpanel, Heap, Amplitude, or Google Analytics, with the ability to translate event-level data into actionable insights.
 </li>
 <li>
 Demonstrated ability to perform funnel, cohort, and A/B test analysis, and to interpret results in a clear business and CX context.
 </li>
 <li>
 Proficiency in SQL and Python (pandas, matplotlib, seaborn) or equivalent analytical tools.
 </li>
 <li>
 Excellent communication and stakeholder management skills &mdash; able to present complex findings to both technical and non-technical audiences.
 </li>
 <li>
 Good written and verbal communication in English.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience collaborating with Tech, Growth, and Operations teams to optimize product performance and customer experience.
 </li>
 <li>
 Working knowledge of event instrumentation and data pipeline concepts (GA4, BigQuery, Amplitude, PostHog).
 </li>
 <li>
 Familiarity with customer experience measurement frameworks (NPS, CSAT, VOC)
 </li>
 <li>
 Understanding of marketplace dynamics, including vendor performance, delivery reliability, and consumer satisfaction drivers.
 </li>
 </ul>
</div>

Senior Product Analyst

Vezeeta

<div>
 
 Job Summary
 
 
 
 We are seeking a highly motivated and detail-oriented Junior Data Analyst to join our data-driven team. As a Data Analyst, you will play a crucial role in supporting data-related activities within our organization. You will work closely with senior data analysts and other team members to collect, analyze, and present data insights that inform decision-making and drive business growth. This is an excellent opportunity for a recent graduate or entry-level professional to gain valuable experience in the field of data analysis.
 
 
 Data Collection and Cleaning: Collect and compile data from various sources, ensuring data accuracy and completeness. Perform data cleaning and transformation as necessary to prepare it for analysis.
 
 
 <ul>
 <li>
 Data Analysis: Assist in conducting data analysis using statistical methods, data visualization tools, and data analysis software. Summarize findings in clear and concise reports.
 </li>
 <li>
 Data Visualization: Create visually appealing and informative charts, graphs, and dashboards to present data insights to stakeholders. Use tools such as Tableau, Power BI, or Excel for visualization.
 </li>
 <li>
 Report Generation: Prepare regular and ad-hoc reports to communicate key metrics and findings to the team and management. Ensure reports are accurate and delivered on time.
 </li>
 <li>
 Data Quality Assurance: Help maintain data quality standards by identifying and resolving data discrepancies or inconsistencies. Collaborate with other team members to establish data quality protocols.
 </li>
 <li>
 Collaboration: Work closely with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand data requirements and deliver actionable insights.
 </li>
 <li>
 Research and Learning: Stay up-to-date with industry trends and best practices in data analysis. Continuously expand your knowledge and skills in data analytics techniques and tools.
 
 
 </li>
 </ul>
 
 Requirements And Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline.
 </li>
 <li>
 Strong analytical skills and a passion for working with data.
 </li>
 <li>
 1 year of experience
 </li>
 <li>
 Proficiency in data analysis tools and programming languages such as Excel, SQL.
 </li>
 <li>
 Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
 </li>
 <li>
 Excellent communication skills, with the ability to translate complex data into understandable insights.
 </li>
 <li>
 Detail-oriented and capable of maintaining data accuracy and integrity.
 </li>
 <li>
 Strong problem-solving skills and the ability to think critically.
 </li>
 <li>
 Highly organized and able to manage multiple tasks and deadlines effectively.
 </li>
 <li>
 Team player with a collaborative mindset and the ability to work well in a diverse team environment.
 </li>
 <li>
 Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis.
 </li>
 </ul>
</div>

Data Analyst

The HEINEKEN Company

<div>
 
 Job Responsibilities
 
 
 
 
 Functional Responsibilities:
 
 
 
 <ul>
 <li>
 He/she works with large data sets to find actionable insights.
 </li>
 <li>
 He/She is able to perform some cleansing (of the data) through understanding their relevance to the business.
 </li>
 <li>
 He/She is able to compare and analyze different types of data sets; these can vary between data sets gathered online or with complete offline data to create relevant actionable insights.
 </li>
 <li>
 He/She is able to translate data into insights to the wider team in an understandable &ndash; easy to digest manner.
 </li>
 <li>
 He/She is able to identify gaps in the data in order for the team to help He/She in filling these gaps to reach better insights.
 </li>
 <li>
 He/She has experience with Power BI analytical tool and Google Analytics.
 </li>
 <li>
 He/She is able to team-up with field team to validate the insight and augment the qualitative insights with the quantitative findings.
 
 
 </li>
 </ul>
 
 Functional Competencies:
 
 
 
 <ul>
 <li>
 Understand the difference between consumer, shopper and customer.
 </li>
 <li>
 Understand the B2B / B2C digital trends changes in the wider environment and its implication on the platform.
 </li>
 <li>
 Able to differentiate different shopper / consumer needs and act upon in order to achieve ABC digital ambitions.
 </li>
 <li>
 Understand ABC Route to Market and its implication on the platform.
 </li>
 <li>
 Able to understand promotions mechanisms and evaluate their impact on business digital KPIs
 </li>
 <li>
 Challenges figures with different stakeholders and generate new ideas to drive business.
 
 
 </li>
 </ul>
 
 Leadership Responsibilities:
 
 
 
 <ul>
 <li>
 He/she enjoys helping others and can act as thought leader and coach: through a range of mechanisms, you&rsquo;ll ensure that our business understands his/her specialist area, and he/she will help create experts in ABC.
 </li>
 <li>
 Champion the analytics, coach the sales team and the customers about the benefit and the transformation of e-commerce.
 
 
 </li>
 </ul>
 
 Functional Authority:
 
 
 - Together with the regional eCommerce data analyst and Head of eCommerce, decide about the different changes that will be implemented in the various datasets to facilitate the daily processes.
 
 
 Communication and Work Relationships:
 
 
 Internal:
 
 
 
 <ul>
 <li>
 Ecommerce, sales, sales support, Customer Service, IT, Trade Marketing, and Sales Management teams.
 
 
 </li>
 </ul>
 
 External:
 
 
 
 <ul>
 <li>
 Global Digital (B2B, B2C) CXO &amp; growth &amp; transformation teams, external suppliers managing data/reporting tools.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 Education, Certifications and Licenses:
 
 
 
 <ul>
 <li>
 University degree from a reputable university business administration, or a related field
 
 
 </li>
 </ul>
 
 Knowledge and Experience:
 
 
 
 <ul>
 <li>
 1-2 years&rsquo; experience in FMCG companies with commerce background.
 </li>
 <li>
 Strong data management skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
 </li>
 <li>
 Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, PoweBI, etc)
 </li>
 <li>
 Experience in digital sales platforms (B2B, B2C, iB2B, iB2C) is a plus
 </li>
 <li>
 Technical expertise regarding data models, database design development, data mining and segmentation techniques is a plus
 
 
 </li>
 </ul>
 
 Skills and Abilities:
 
 
 
 <ul>
 <li>
 Excellent Computer skills.
 </li>
 <li>
 Outstanding analysis skills.
 </li>
 <li>
 Excellent problem solving.
 
 
 </li>
 </ul>
 
 Personal Qualities:
 
 
 
 <ul>
 <li>
 results driven and analytically strong &ndash; he/she know that data drives decision-making and he/she proves his/her hunches with data
 </li>
 <li>
 Creative, out of the box thinker, challenge the status quo,
 </li>
 <li>
 Communication, problem solving and following up skills.
 </li>
 <li>
 Hard worker and able to work under pressure to meet close deadlines.
 
 
 </li>
 </ul>
 
 Preferable Qualifications:
 
 
 
 <ul>
 <li>
 Commercial: affinity with commercial discipline and a commercial way of thinking
 </li>
 </ul>
 
 #addjob
 
 
 
</div>

Junior E-Commerce Analyst

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

PepsiCo

<div>
 
 Overview
 
 
 
 This role will be responsible for supporting the design, implementation, and ongoing management of PepsiCo&rsquo;s Consumer Data Platform (CDP) and First-Party (1P) Data Collection initiatives across the AMESA region, with a primary focus on Egypt, KSA, Pakistan, and South Africa.
 
 
 As a key link between PepsiCo&rsquo;s 1P data collection systems and our marketing agency partners, this role will ensure that the data we capture is effectively activated, optimized, and transformed into actionable insights&mdash;driving smarter marketing strategies and stronger consumer connections.
 
 
 
 Responsibilities
 
 
 
 We are looking for a dynamic and experienced Marketing Senior Specialist to join our team and support PepsiCo&rsquo;s digital transformation across the AMESA region. This role will be central in driving data acquisition, loyalty initiatives, CRM programs, and MarTech capabilities, ensuring our markets are future-ready and insights-driven.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Data Acquisition Management: Lead and oversee data acquisition initiatives across 7 markets (KSA, Egypt, Pakistan, Sub-Saharan Africa, Kuwait, Oman, UAE), ensuring consistency, quality, and compliance.
 </li>
 <li>
 Customer Data &amp; Analytics (cDNA): Lead the expansion of data activation across social, programmatic, and CRM channels in multiple markets, strengthening consumer connections through smart, data-driven strategies.
 </li>
 <li>
 Loyalty &amp; CRM: Manage and optimize Loyalty and CRM reporting and analysis programs across AMESA markets, delivering actionable insights that fuel consumer engagement and retention.
 </li>
 <li>
 MarTech Capabilities: Partner with global and regional teams to scale and enhance MarTech solutions, enabling advanced personalization, targeting, and measurement across the AMESA sector.
 </li>
 <li>
 Cross-Functional Collaboration: Collaborate with key stakeholders across Digital, Media, Sales, and Insights teams to integrate DX capabilities (e.g., Media2Shelf, Consumer Insights), ensuring business objectives are supported by data and technology.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3-5 years of experience in data analysis/engineering role with proven track record working with Salesforce
 
 
 </li>
 </ul>
 Marketing Cloud (ExactTarget) for AMPScripts or similar platform such as Responsys, Silverpop, Adobe
 
 
 Campaign, Eloqua, etc
 
 
 <ul>
 <li>
 2+ yrs of overall Digital Marketing experience
 </li>
 <li>
 Ensure successful rendering across a wide variety of basic infrastructure in Salesforce Marketing Cloud or similar platforms:
 
 
 </li>
 </ul>
 Data Extensions, Queries, Triggered Send Definitions, and Microsites
 
 
 <ul>
 <li>
 Experience working within a brand environment, with collaboration with agencies and marketers
 </li>
 <li>
 Knowledge of AMESA digital landscape is a plus
 </li>
 </ul>
</div>

Marketing Senior Analyst

Explore 322+ Junior consumer insights analyst in Marketing Jobs In Cairo this December. Find roles across top companies and apply now to boost your career.