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Property Finder

<div>
 Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region&rsquo;s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.
 
 
 Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
 
 
 
 Position Summary:
 
 
 
 <ul>
 <li>
 Within the Strategy &amp; Analytics team, Property Finder is is seeking a Business Analytics Associate who will collaborate with various departments to establish a top-tier analytical environment for our organization.
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build Visual reporting tools that will engage our partners in a way that makes our data easy to digest and understand whilst giving actionable insights for them.
 </li>
 <li>
 Responsible for high-priority data requests &amp; reporting within the Central Functions (e.g. Business Performance, Strategy &amp; Transformation, Commercial Finance, HR).
 </li>
 <li>
 Partnering with the Data Engineering team in our journey to establish an exceptional self-service analytics environment.
 </li>
 <li>
 Partnering with the Business Performance Team to maintain &amp; produce essential recurring business performance reports on a daily, weekly, and monthly basis.
 </li>
 <li>
 Maintaining vigilance over data quality to ensure accuracy and reliability, serving as the primary source of truth..
 
 
 </li>
 </ul>
 
 Desired Qualifications:
 
 
 
 <ul>
 <li>
 2+ years of experience working as analyst in Business Analytics in a reputable tech company or a top tier management consulting company.
 </li>
 <li>
 Exceptional SQL and a Business Intelligence tool (e.g. Tableau, Quicksight, Click, Power BI etc.) knowledge
 </li>
 <li>
 Exceptional analytical and quantitative problem-solving skills
 </li>
 <li>
 Strong written and verbal communication skills with experience in presenting technical content to audiences
 </li>
 <li>
 Fluency in English
 
 
 </li>
 </ul>
 
 Other Capabilities:
 
 
 
 <ul>
 <li>
 Can do attitude (We get things done, no excuses)
 </li>
 <li>
 A dynamic, focused and self-motivated person with ability to manage multiple tasks simultaneously
 
 
 </li>
 </ul>
 
 Our promise to talent
 
 
 
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 
 
 
 Property Finder Guiding Principles
 
 
 
 <ul>
 <li>
 Think Future First
 </li>
 <li>
 Data Beats Opinions, Speed Beats Perfection
 </li>
 <li>
 Optimise for Impact
 </li>
 <li>
 No Ostriches Allowed
 </li>
 <li>
 Our People, Our Power
 </li>
 <li>
 The Biggest Risk is Taking no Risk at All
 
 
 </li>
 </ul>
 
 Find us at:
 
 
 
 Twitter
 
 
 Facebook
 
 
 Instagram
 
 
 Linkedin
 
 
 Glassdoor
</div>

Business Analytics Analyst

Capgemini

<div>
 
 
 About Capgemini
 
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.
 
 
 
 
 
 
 Job Description:
 
 
 
 We&rsquo;re looking for a Business Analyst to join our team at Capgemini.
 
 
 You&rsquo;ll work with data, reports, and business teams to help us make better decisions. The role involves analyzing data, preparing reports, and identifying ways to improve how we work and serve our customers.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect and analyze data from different business areas.
 </li>
 <li>
 Create clear reports and dashboards using Power BI, Excel, or Tableau.
 </li>
 <li>
 Work with teams across the company (sales, marketing, finance, operations) to understand business needs.
 </li>
 <li>
 Identify trends, risks, and opportunities from data insights.
 </li>
 <li>
 Support forecasting and planning activities.
 </li>
 <li>
 Keep data accurate, organized, and easy to understand.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Data Analytics, Statistics, or a related field.
 </li>
 <li>
 2&ndash;5 years of experience in business or data analysis.
 </li>
 <li>
 Outstanding English communication, both verbal and non-verbal.
 </li>
 <li>
 Strong skills in Excel, Power BI, Tableau, or SQL.
 </li>
 <li>
 Good understanding of business processes and KPIs.
 </li>
 <li>
 Attention to detail and strong analytical thinking.
 </li>
 <li>
 Good communication skills and teamwork attitude.
 </li>
 </ul>
</div>

Business Analytics Specialist

Confidential Careers

<div>
 
 
 Position Summary
 
 
 
 We are searching for a detail-oriented, data-driven Marketing Research Analyst to join our marketing organization. The Analyst will be an important member of the team and will analyze marketing performance, provide identification of trends, and provide insights for each program so that the marketing team can rely on data to make business decisions. The successful candidate will have strong analytical abilities and an understanding of digital marketing metrics. The ideal Marketing Analyst will also have a true passion for utilizing complex data to provide clear recommendations and drive growth and optimization across all marketing touchpoints and channels.
 
 
 
 
 
 
 Key responsibilities:
 
 
 <ul>
 <li>
 Provide Daily performance reports with sales, traffic, conversion, and key marketing metrics.
 </li>
 <li>
 Report on campaign performance &amp; sales results across all channels (paid, organic, email, etc).
 </li>
 <li>
 Track user behavior, reviewing drop-off points, moments of friction, and opportunities for improving UX, using Hotjar, Google Analytics 4 (GA4), Microsoft Clarity, and so forth.
 </li>
 <li>
 Collaborate with the marketing team to assess campaign performance and optimize based on data.
 </li>
 <li>
 Create and maintain dashboards and visual reports in order to accommodate the complex data in a way that is actionable to other teams.
 </li>
 <li>
 Help track KPIs and aid in data-led decision making by teams.
 </li>
 <li>
 Stay current with the platform and the new analytics features to refine and develop ongoing reporting and analysis.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 +4 years of experience in marketing analytics, digital analytics, or a related field, preferably in e-commerce.
 </li>
 <li>
 Strong hands-on knowledge of analytics tools, including Google Analytics 4 (GA4), Hotjar, Microsoft Clarity, and experience with reporting tools like Google Sheets, Looker Studio, Excel, etc.
 </li>
 <li>
 Proven ability to create clear, insightful reports and dashboards that support data-driven decision making.
 </li>
 <li>
 Solid understanding of e-commerce KPIs, marketing funnels, conversion metrics, and user journey analysis.
 </li>
 <li>
 Strong communication skills with the ability to translate complex data into clear, actionable insights for diverse teams.
 </li>
 <li>
 Highly organized, detail-oriented, and curious, always eager to dig deeper into data.
 </li>
 <li>
 Work cross-departmentally with product, sales, and marketing to help ensure accuracy and consistency.
 </li>
 </ul>
 
 
</div>

Marketing Research Analyst

PepsiCo

<div>
 
 Overview
 
 
 
 This role is responsible for supporting the MENA FOBO BU Franchise Commercial, finance &amp; planning &amp; other support functions with key reporting and analysis of performance by Channel, Key Customer and Sales Area against key deliverables, Adding value to the reports suite, this role also provides meaningful insights and recommendations to the Franchise Leadership team, highlighting all opportunities for growth and productivity. The Franchise Analyst roles has the added key responsibility of interacting with the relevant bottler team members to gather the data and support reconciliation between PepsiCo and Bottler on Co-op Budgets and Spends along with PepsiCo Finance and Controls team.
 
 
 
 Responsibilities
 
 
 
 Functional Responsibilities:
 
 
 <ul>
 <li>
 Support PepsiCo Franchise senior leadership team (typically LG1+) - with standard reporting against established performance measurables as well as ad-hoc reporting requests
 </li>
 <li>
 Responsible on all financial &amp; planning reporting related to the assigned market on the agreed frequency with high level of accuracy. The accuracy of these reports has significant impact on Pepsico spends related decisions running into Millions of Dollars, and without another layer of control - apart from the Franchise Directors themselves, whom the analyst role supports
 </li>
 <li>
 Partner with Cluster Commercial Leadership to revise and refine reporting requirements, ensuring outputs remain relevant, meaningful and user-friendly to best support decision-making
 </li>
 <li>
 Analyze large complex data sets, across multiple categories, channels, customers and highlight opportunities by Customer/Channel. The role is expected to not just compile data but understand and highlight insights with better business understanding. This is a key expectation as the Franchise Team is very lean and does not have any other team members supporting data insights.
 </li>
 <li>
 Develop on-demand reports delivering improved agility through ease of access and enhanced visualization
 </li>
 <li>
 Collate and format large and complex sets of data across multiple channels, customers and sales areas. Analyze data to distil meaningful insights on performance trends and opportunities
 </li>
 <li>
 Present insights and recommendations to Franchise Leadership team on a monthly basis and in a clear, concise and professional manner. Franchise Analyst is expected to deliver presentations for the Franchise Director that can be then in turn presented to the Bottler of Franchise BU GM for making the business case of investment or insights on spend performance tracking as needed.
 </li>
 <li>
 Support Commercial Analytics functional excellence, helping to evaluate new technologies to improve capability of GBS service offering. The role is expected to upgrade the current quality of MS-excel based reports to further enable Power BI and other technology enabled Dashboards for agile and visually enhanced reporting.
 </li>
 <li>
 Support business development and continuous improvement initiatives to drive growth and efficiency both within Cluster and GBS Hub
 </li>
 <li>
 The Franchise analyst role also works on Funds reconciliation between Bottler and PepsiCo and supports the BU Franchise Finance and Controls teams with Fact Sheets (Approved Spends) tracking and activities completed by the bottler against the approved budgets along with highlight remaining budget on a regular interval.
 
 
 </li>
 </ul>
 People Responsibilities:
 
 
 <ul>
 <li>
 Develop daily interaction with senior leadership with the market under scope. Across multiple Functions including Franchise Directors, and BU Finance Planning and Controls teams
 </li>
 <li>
 Develop winning relationships with key stakeholders including the bottler staff as needed within the Franchise Cluster Commercial function, embedding GBS Commercial Analytics services within the organization
 </li>
 <li>
 Act as a point of contact and trusted business partner for Franchise Cluster Commercial team, participating in standard operational review calls with key stakeholders and Business Leaders
 </li>
 <li>
 Support the Reporting &amp; Analytics Lead and Cluster Sales Lead with all initiatives to improve GBS service offerings
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Essential:
 
 
 
 <ul>
 <li>
 Fluent English with excellent interpersonal skills
 </li>
 <li>
 Exceptional written and oral communication, adapting approach by situation and audience
 </li>
 <li>
 Demonstrated experience with MS Excel (Advanced), Power BI &amp; Commercial Analytics tools
 </li>
 <li>
 Collaboratively and proactively works with multi-functional teams
 </li>
 <li>
 Flexible, organized and able to handle competing priorities
 </li>
 <li>
 Experience using SAP, SAP BI
 
 
 </li>
 </ul>
 Good to have:
 
 
 <ul>
 <li>
 Working knowledge of AI Tools to leverage in Reporting and Analytics
 </li>
 <li>
 Financial Background.
 </li>
 </ul>
</div>

Sales 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

PwC Middle East

<div>
 
 Line of Service
 
 
 
 Advisory
 
 
 
 Industry/Sector
 
 
 
 Technology
 
 
 
 Specialism
 
 
 
 Advisory - Other
 
 
 
 Management Level
 
 
 
 Senior Associate
 
 
 
 Job Description &amp; Summary
 
 
 
 At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
 
 
 
 Responsibilities
 
 
 
 In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
 
 We are seeking a highly skilled and analytical
 
 Business Intelligence (BI) Engineer
 
 with strong expertise in
 
 Power BI
 
 to join our growing data team. The ideal candidate will be responsible for designing, developing, and maintaining scalable BI solutions that transform raw data into actionable insights to support strategic decision-making across the organization.
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy interactive dashboards and reports using Power BI.
 </li>
 <li>
 Translate business needs into technical specifications and maintain robust BI solutions.
 </li>
 <li>
 Integrate data from multiple sources (e.g., SQL databases, APIs, Excel, cloud platforms).
 </li>
 <li>
 Develop and optimize DAX queries and data models for performance and usability.
 </li>
 <li>
 Collaborate with business stakeholders to understand reporting requirements.
 </li>
 <li>
 Implement and maintain data security and governance standards within Power BI.
 </li>
 <li>
 Monitor BI tools performance and troubleshoot technical issues as needed.
 </li>
 <li>
 Work closely with data engineers, analysts, and product teams to ensure data quality and integrity.
 </li>
 <li>
 Provide training and documentation for end-users and stakeholders on Power BI usage.
 
 
 </li>
 </ul>
 
 Required
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Statistics, or a related field.
 </li>
 <li>
 1-3 years of experience in a BI Engineer, Data Analyst, or similar role.
 </li>
 <li>
 Strong proficiency in Power BI, including DAX, Power Query (M), and data modeling.
 </li>
 <li>
 Hands-on experience with SQL and relational databases, and Python or R for data analysis.
 </li>
 <li>
 Familiarity with ETL processes and data warehousing concepts.
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication skills to present insights to both technical and non-technical audiences.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience with Azure Data Services (e.g., Azure SQL, Data Factory).
 </li>
 <li>
 Exposure to other BI tools (e.g., Tableau, Looker) is a plus.
 </li>
 <li>
 Microsoft certifications (e.g., PL-300: Power BI Data Analyst) are a bonus.
 
 
 </li>
 </ul>
 
 Education
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required:Degrees/Field of Study preferred:
 
 
 
 Certifications
 
 
 (if blank, certifications not specified)
 
 
 
 
 Required Skills
 
 
 
 
 Optional Skills
 
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}
 
 
 
 Desired Languages
 
 
 (If blank, desired languages not specified)
 
 
 
 
 Travel Requirements
 
 
 
 Not Specified
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 Yes
 
 
 
 Government Clearance Required?
 
 
 
 Yes
 
 
 
 Job Posting End Date
 
</div>

ETIC, BI Engineer Senior Associate

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

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