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data analytics analyst

Han Partners Qatar

Why This Role Is AttractiveIf you enjoy turning raw data into clear business insights, this role gives you the opportunity to directly influence decisions in a fast-growing consulting environment. At Han Partners Qatar, you will work on real business challenges across multiple industries, helping leadership teams make smarter, data-driven decisions. This is a strong career-building role for candidates who want growth, exposure to international projects, and hands-on analytics experience.Job OverviewHan Partners Qatar is seeking a Data Analyst who can collect, process, and interpret data to support business strategy, consulting projects, and operational improvements. You will work closely with consultants, project managers, and clients to deliver actionable insights that improve performance and decision-making.Key Responsibilities<ul><li>Collect, clean, and organize large datasets from multiple sources</li><li>Analyze business, financial, and operational data to identify trends and insights</li><li>Build reports, dashboards, and visualizations for management and clients</li><li>Support consulting teams with data-driven recommendations</li><li>Monitor key performance indicators (KPIs) and business metrics</li><li>Ensure data accuracy, consistency, and quality across reports</li><li>Translate complex data into clear, simple insights for non-technical stakeholders</li><li>Assist in forecasting, performance tracking, and business analysis projects</li><li>Work with Excel, SQL, Power BI, or similar analytics tools</li></ul>SkillsEmployers are actively searching for candidates with the following skills:<ul><li>Data analysis and interpretation</li><li>Advanced Excel (formulas, pivot tables, dashboards)</li><li>SQL for database querying</li><li>Data visualization (Power BI, Tableau)</li><li>Business intelligence reporting</li><li>Problem-solving and critical thinking</li><li>Attention to detail and data accuracy</li><li>Communication and presentation skills</li><li>Basic understanding of statistics</li><li>Ability to explain data insights in simple terms</li><li>Familiarity with Python (preferred but not required)</li></ul>Candidate Requirements<ul><li>Bachelor&rsquo;s degree in Data Analytics, Statistics, Business, IT, or related field</li><li>0&ndash;3 years of experience in data analysis or reporting (fresh graduates welcome to apply)</li><li>Strong analytical and problem-solving mindset</li><li>Comfortable working with spreadsheets and data tools</li><li>Ability to work in a team and handle multiple tasks</li><li>Strong communication skills in English</li></ul>Salary and Benefits<ul><li>Competitive monthly salary based on experience</li><li>Performance-based bonuses</li><li>Health and medical coverage (as per company policy)</li><li>Paid annual leave</li><li>Professional development and training opportunities</li><li>Exposure to international consulting projects</li><li>Career growth into senior analyst or consulting roles</li></ul>Work Schedule<ul><li>Full-time position</li><li>Standard business hours with occasional project deadlines</li><li>Hybrid or office-based work depending on project requirements</li></ul>About Han Partners QatarHan Partners Qatar is a consulting and advisory firm based in Doha, specializing in data-driven business solutions, strategy consulting, and operational improvement services. The company works with clients across multiple industries, helping organizations improve efficiency, performance, and decision-making through analytics and strategic insights.Why Work With Us<ul><li>Work on real consulting projects with measurable impact</li><li>Gain hands-on experience in business analytics and strategy</li><li>Supportive and collaborative team environment</li><li>Opportunities for career growth in consulting and data analytics</li><li>Exposure to international clients and business environments</li><li>Skill development in high-demand analytics tools and methods</li></ul>Career Growth OpportunitiesThis role can lead to career advancement into:<ul><li>Senior Data Analyst</li><li>Business Intelligence Analyst</li><li>Data Consultant</li><li>Analytics Manager</li><li>Strategy Consultant</li></ul>Apply NowIf you are passionate about data, problem-solving, and business insights, this is your opportunity to build a strong career in analytics and consulting.Apply today and take the next step in your professional growth with Han Partners Qatar.الراتب المدفوع: QAR١٢٬٠٠٠٫٠٠&nbsp;لكل شهرموقع العمل: بشكل شخصي

Data Analyst

MSA Benin-Qatar Logistics

Job Opportunity: Data AnalystLocation: Doha, Qatar Company: MSA Benin-Qatar LogisticsAbout UsMSA Benin-Qatar Logistics is a leading logistics and supply chain solutions provider, specializing in efficient cargo management, digital transformation, and global trade support. Based in Doha, we are committed to innovation, operational excellence, and data-driven decision-making. To strengthen our analytics capabilities, we are seeking a skilled Data Analyst to join our growing team.Role OverviewThe Data Analyst will be responsible for collecting, analyzing, and interpreting logistics and operational data to provide actionable insights. This role requires strong analytical skills, proficiency in data visualization, and the ability to collaborate across departments to improve efficiency and performance.Key Responsibilities<ul><li>Collect, clean, and analyze logistics and operational data.</li><li>Develop dashboards and reports to support management decisions.</li><li>Identify trends, inefficiencies, and opportunities for process improvement.</li><li>Collaborate with operations, finance, and IT teams to optimize workflows.</li><li>Monitor KPIs and provide recommendations for performance enhancement.</li><li>Ensure data accuracy, integrity, and compliance with company policies.</li><li>Support digital transformation initiatives with data-driven insights.</li><li>Present findings and recommendations to senior leadership.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Business Analytics, or related field.</li><li>2&ndash;4 years of experience in data analysis, preferably in logistics or supply chain industries.</li><li>Strong proficiency in Excel, SQL, and data visualization tools (Power BI, Tableau, or similar).</li><li>Knowledge of ERP systems and logistics management software is an advantage.</li><li>Excellent analytical, organizational, and communication skills.</li><li>Ability to manage multiple priorities in a fast-paced environment.</li><li>Fluency in English; Arabic or French is a plus.</li></ul>Why Join Us?<ul><li>Be part of a dynamic logistics company in Doha.</li><li>Play a key role in driving MSA Benin-Qatar Logistics&rsquo; data-driven strategy.</li><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career advancement.</li><li>Collaborative, innovative, and growth-focused work culture.</li></ul>الراتب المدفوع: QAR٠٫٠٠&nbsp;لكل شهرموقع العمل: بشكل شخصي

FTC ARABIA

Job SummaryWe are seeking a highly skilled Data Analyst &ndash; BI &amp; KPI Specialist to support its luxury retail, distribution, and marketing operations. The role focuses on transforming complex retail, sales, and marketing data into actionable insights through advanced dashboards, KPI tracking, and data-driven reporting. The analyst will work closely with brand managers, department heads, and senior leadership to optimize business performance across luxury portfolios.Key ResponsibilitiesBusiness Intelligence &amp; Dashboard Development<ul><li>Design and maintain advanced Power BI / Tableau dashboards for luxury retail, distribution, and marketing performance</li><li>Develop real-time and automated KPI dashboards for multiple brands under the group</li><li>Create executive-level reporting dashboards for sales, inventory, marketing ROI, and customer analytics</li><li>Provide visual analytics for store performance, product performance, and regional sales trends</li></ul>Data Analysis &amp; Reporting<ul><li>Analyze multi-brand retail data (luxury fashion, watches, perfumes, accessories, etc.)</li><li>Build weekly, monthly, and quarterly performance reports for senior management</li><li>Track key retail KPIs such as:</li><li>Sales per store / brand</li><li>Conversion rate</li><li>Inventory turnover</li><li>Gross margin</li><li>Marketing campaign ROI</li><li>Identify trends in customer behavior, seasonal demand, and product performance</li></ul>Data Cleansing &amp; Integration<ul><li>Clean and validate large datasets from multiple sources (ERP, POS, CRM, e-commerce platforms)</li><li>Ensure accuracy and consistency of retail, inventory, and sales data</li><li>Integrate data from Oracle ERP and POS systems into BI dashboards</li><li>Maintain structured and reliable data pipelines for reporting</li></ul>SQL &amp; Python Analytics<ul><li>Write advanced SQL queries for extracting and analyzing retail and marketing data</li><li>Use Python for data automation, forecasting, segmentation, and performance analysis</li><li>Develop scripts to automate reporting and reduce manual data work</li></ul>ERP &amp; Systems Management<ul><li>Work extensively with Oracle ERP systems for finance, procurement, inventory, and sales data</li><li>Support integration between ERP, CRM, and BI platforms</li><li>Improve data flow between retail stores, distribution centers, and head office systems</li></ul>KPI Development &amp; Business Alignment<ul><li>Collaborate with brand managers, marketing heads, retail operations, and distribution teams</li><li>Define and standardize KPIs across luxury brands and business units</li><li>Monitor performance against targets and highlight gaps or risks</li><li>Support strategic decision-making through data insights and forecasting</li></ul>Stakeholder Coordination<ul><li>Act as a key link between technical data systems and business leadership</li><li>Present insights clearly to executives and non-technical stakeholders</li><li>Support marketing teams in measuring campaign effectiveness and ROI</li><li>Assist retail teams in optimizing store performance and customer experience</li></ul>Required Skills &amp; QualificationsTechnical Skills<ul><li>Strong expertise in SQL (advanced level)</li><li>Proficiency in Python for data analysis (Pandas, NumPy, automation)</li><li>Experience with Power BI / Tableau / BI tools</li><li>Strong knowledge of Oracle ERP or similar enterprise systems</li><li>Experience in data cleansing, ETL processes, and data modeling</li></ul>Business &amp; Analytical Skills<ul><li>Strong understanding of luxury retail KPIs and performance metrics</li><li>Ability to analyze multi-brand, multi-channel retail data</li><li>Experience in sales, marketing, and distribution analytics</li><li>Strong problem-solving and data storytelling ability</li></ul>Soft Skills<ul><li>Strong communication and stakeholder management skills</li><li>Ability to work with senior leadership and cross-functional teams</li><li>High attention to detail and ability to manage multiple priorities</li><li>Strong commercial awareness of luxury retail market dynamics</li></ul>Preferred Experience<ul><li>3&ndash;7+ years in Data Analytics / BI / Retail Analytics roles</li><li>Experience in luxury retail, FMCG, distribution, or multi-brand environments</li><li>Exposure to Middle East retail market is an advantage</li><li>Experience working with large enterprise retail groups preferred</li></ul>Key Deliverables<ul><li>Unified BI dashboards for luxury brands</li><li>Automated KPI reporting system</li><li>Sales, marketing, and inventory performance insights</li><li>Data-driven recommendations for retail and brand growth</li><li>Executive-level performance reports for group leadership</li></ul>Pay: QAR5,000.00 - QAR5,500.00 per hourApplication Question(s):<ul><li>What's your earliest availability to join our company?</li><li>What's your current salary?</li><li>What's your salary expectation?</li></ul>Work Location: In person

Shift Group

<div>
 
 
 Role Overview:
 
 The Data Analyst will be at the forefront of data strategy and monetization, responsible for turning data into growth insights that drive business decisions, optimize performance, and unlock new revenue streams.
 
 
 This role blends analytical depth, business intelligence, data engineering, and strategic thinking, ideal for professionals passionate about using data to fuel digital growth and audience value.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Analytics &amp; Insights
 
 
 <ul>
 <li>
 Collect, clean, and analyze data from multiple digital sources (web, app, CRM, marketing, and sales systems).
 </li>
 <li>
 Build automated dashboards and reports using tools like Power BI, Tableau, or Google Data Studio to track platform KPIs.
 </li>
 <li>
 Identify user trends, engagement drivers, and conversion patterns across verticals (classifieds, content, properties, jobs, cars, etc.).
 </li>
 <li>
 Generate actionable insights that support leadership decision-making and operational efficiency.
 </li>
 <li>
 Analyze marketing funnel performance and user acquisition metrics to identify growth opportunities.
 </li>
 </ul>
 
 
 
 
 
 Data Engineering &amp; ETL
 
 
 <ul>
 <li>
 Design, build, and maintain robust and scalable ETL pipelines to ingest and process data from a wide variety of sources, including web, app, CRM, marketing, analytics logs, and sales systems.
 </li>
 <li>
 Utilize both off-the-shelf and custom solutions (e.g., Azure Data Factory, custom Python scripts) to collect, transform, clean, and load data into our data warehouse, ensuring data quality, integrity, and accessibility.
 </li>
 <li>
 Develop a consolidated data architecture to support unified reporting, business intelligence, and advanced analytics.
 </li>
 </ul>
 
 
 
 
 
 Machine Learning &amp; Predictive Modeling
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning and predictive models to understand customer behavior, predict churn, and identify growth opportunities.
 </li>
 <li>
 Apply statistical analysis and modeling techniques to build frameworks for measuring user lifetime value, optimizing pricing strategies, and forecasting revenue.
 </li>
 <li>
 Implement A/B testing frameworks and conduct experiments to measure the performance of new features, marketing campaigns, and product changes.
 </li>
 </ul>
 
 
 
 
 
 Customer Data Platform (CDP) &amp; Analytics
 
 
 <ul>
 <li>
 Lead the development and implementation of a Customer Data Platform (CDP) to create a single, unified view of the customer journey.
 </li>
 <li>
 Integrate the CDP with our marketing and sales platforms to enable advanced audience segmentation, personalization, and targeted advertising.
 </li>
 <li>
 Attach machine learning models to the CDP to analyze customer behavior patterns, predict future actions, and deliver actionable insights to the business.
 </li>
 </ul>
 
 
 
 
 
 Monetization &amp; Growth
 
 
 <ul>
 <li>
 Develop data-driven monetization strategies, such as audience segmentation, advertising optimization, and data-based product offerings.
 </li>
 <li>
 Partner with Sales and Marketing teams to enhance campaign targeting, ad performance (CTR, CPC, CPM, ROAS), and audience segmentation, and cross-channel attribution
 </li>
 <li>
 Support pricing strategy and revenue forecasting through predictive analytics and business modeling.
 </li>
 <li>
 Build frameworks to measure subscription and user lifetime value.
 </li>
 </ul>
 
 
 
 
 
 Data Infrastructure &amp; Governance
 
 
 <ul>
 <li>
 Collaborate with Technology teams to ensure accuracy, integrity, and consistency of data across all systems.
 </li>
 <li>
 Establish and maintain clear KPIs, data definitions, and governance standards.
 </li>
 <li>
 Ensure compliance with ethical and legal standards for data usage.
 </li>
 </ul>
 
 
 
 
 
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Work with Marketing, Product, and Commercial teams to drive experiments (A/B tests) and measure performance outcomes.
 </li>
 <li>
 Present findings in a visually engaging and business-focused manner for executives and stakeholders.
 </li>
 <li>
 Translate analytical insights into actionable business recommendations.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor's or Master's degree in Data Science, Business Analytics, Statistics, Computer Science, Economics, or related field.
 </li>
 <li>
 
 Experience:
 
 5&ndash;8 years of experience in data analytics, business intelligence, data engineering, or growth analytics within a digital, e-commerce, or media technology company.
 </li>
 <li>
 
 Technical Skills:
 
 </li>
 <li>
 Strong knowledge of SQL, Python (pandas, numpy, matplotlib, scikit-learn), and BI tools such as Power BI, Tableau, or Google Data Studio.
 </li>
 <li>
 Experience with ETL/ELT tools (e.g., Azure Data Factory, Apache Airflow, or similar).
 </li>
 <li>
 Proficiency in machine learning and predictive modeling techniques for forecasting, customer behavior analysis, and LTV modeling.
 </li>
 <li>
 Experience with data warehousing solutions (e.g., Snowflake, BigQuery, Azure Synapse).
 </li>
 <li>
 Knowledge of Customer Data Platforms (CDP) and customer journey analytics.
 </li>
 <li>
 Experience with Google Analytics 4, BigQuery, or Looker is a plus.
 </li>
 <li>
 
 Business Skills:
 
 Proven track record in using data to enhance business performance, customer acquisition, retention, and monetization.
 </li>
 <li>
 
 Soft Skills:
 
 Strong communication, data storytelling, and cross-functional collaboration. Ability to translate complex data into simple insights.
 </li>
 </ul>
 
 
 
 
 
 Preferred
 
 
 <ul>
 <li>
 Experience in audience segmentation, ad performance analytics, or subscription data modeling.
 </li>
 <li>
 Background in digital media, advertising, or marketplace platforms.
 </li>
 <li>
 Familiarity with data monetization models and creation of data-based products or reports.
 </li>
 <li>
 Hands-on experience implementing CDP solutions (e.g., Segment, mParticle, Adobe CDP, or similar platforms).
 </li>
 <li>
 Experience with cloud platforms (Azure, or GCP) for data infrastructure.
 </li>
 <li>
 Knowledge of A/B testing methodologies and experimentation platforms.
 </li>
 </ul>
</div>

Data Analyst – Business Intelligence

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 In this Role, you&rsquo;ll get
 
 
 to:
 
 
 
 <ul>
 <li>
 Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
 </li>
 <li>
 Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
 </li>
 <li>
 Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to
 
 
 Succeed:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science)
 </li>
 <li>
 Ability to communicate fluently in English
 </li>
 <li>
 2+ years&rsquo; experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company
 </li>
 <li>
 Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL
 </li>
 <li>
 Good numerical reasoning skills
 </li>
 <li>
 Proficiency in Excel
 </li>
 <li>
 Intellectual curiosity
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you
 
 
 Have:
 
 
 
 <ul>
 <li>
 Experience in digital marketing
 </li>
 <li>
 Academic research experience
 
 
 </li>
 </ul>
 #STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
 
 
 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Data Analyst(Bangkok Based, relocation provided)

NexMusic Marketing

Job Opportunity: Marketing Data AnalystLocation: Doha, Qatar Company: NexMusic MarketingAbout UsNexMusic Marketing is a creative marketing agency dedicated to supporting artists, entertainment brands, and cultural initiatives with innovative campaigns and data-driven strategies. Based in Doha, we combine creativity with analytics to deliver impactful marketing solutions. To strengthen our insights team, we are seeking a talented Marketing Data Analyst to help us transform data into actionable strategies.Role OverviewThe Marketing Data Analyst will be responsible for collecting, analyzing, and interpreting marketing data to optimize campaigns and measure performance. This role requires strong analytical skills, proficiency in data visualization, and the ability to collaborate with creative and strategy teams.Key Responsibilities<ul><li>Collect and analyze marketing data from digital platforms, campaigns, and audience engagement.</li><li>Develop dashboards and reports to track KPIs and campaign performance.</li><li>Provide insights to optimize marketing strategies and improve ROI.</li><li>Collaborate with creative and strategy teams to align data with campaign goals.</li><li>Conduct market research and competitor analysis.</li><li>Ensure data accuracy, integrity, and compliance with company policies.</li><li>Present findings and recommendations to management and clients.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Marketing Analytics, Data Science, Statistics, or related field.</li><li>2&ndash;4 years of experience in marketing analytics or data analysis roles.</li><li>Strong proficiency in Excel, SQL, and data visualization tools (Power BI, Tableau, or similar).</li><li>Knowledge of digital marketing platforms (Google Analytics, Meta Ads, etc.).</li><li>Excellent analytical, organizational, and communication skills.</li><li>Ability to manage multiple priorities in a fast-paced environment.</li><li>Fluency in English; Arabic is a plus.</li></ul>Why Join Us?<ul><li>Be part of a vibrant marketing agency in Doha.</li><li>Play a key role in shaping NexMusic Marketing&rsquo;s data-driven strategies.</li><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career advancement.</li><li>Collaborative, creative, and innovation-driven work culture.</li></ul>الراتب المدفوع: QAR٠٫٠٠&nbsp;لكل شهرموقع العمل: بشكل شخصي

Marketing Data Analyst

Oeil-Esprit Digital

Job Opportunity: Content AnalystLocation: Doha, Qatar Company: Oeil-Esprit DigitalAbout UsOeil-Esprit Digital is a forward-thinking digital solutions company based in Doha, specializing in content strategy, analytics, and digital transformation. We help organizations harness the power of data and content to engage audiences and drive measurable impact. To support our growing operations, we are seeking a skilled Content Analyst to join our team.Role OverviewThe Content Analyst will be responsible for evaluating digital content performance, analyzing audience engagement, and providing insights to optimize strategies. This role requires strong analytical skills, attention to detail, and the ability to collaborate with creative and marketing teams.Key Responsibilities<ul><li>Collect and analyze data on digital content performance across platforms.</li><li>Develop reports and dashboards to track KPIs and audience engagement.</li><li>Provide insights to optimize content strategies and improve ROI.</li><li>Conduct market and competitor analysis to identify trends and opportunities.</li><li>Collaborate with creative and marketing teams to align content with business goals.</li><li>Ensure accuracy, consistency, and compliance with company standards.</li><li>Prepare presentations and recommendations for senior management.</li><li>Contribute to process improvements to enhance content effectiveness.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Marketing, Communications, Data Analytics, or related field.</li><li>2&ndash;4 years of experience in content analysis, digital marketing, or analytics roles.</li><li>Strong proficiency in Excel, SQL, and data visualization tools (Power BI, Tableau, or similar).</li><li>Knowledge of digital marketing platforms (Google Analytics, Meta Ads, SEO tools).</li><li>Excellent analytical, organizational, and communication skills.</li><li>Ability to manage multiple priorities in a fast-paced environment.</li><li>Fluency in English; Arabic is a plus.</li></ul>Why Join Us?<ul><li>Be part of a dynamic digital solutions company in Doha.</li><li>Play a key role in shaping Oeil-Esprit Digital&rsquo;s content strategies.</li><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career advancement.</li><li>Collaborative, innovative, and growth-driven work culture.</li></ul>الراتب المدفوع: QAR٠٫٠٠&nbsp;لكل شهرموقع العمل: بشكل شخصي

Content Analyst

Explore 560+ Data analytics analyst in Doha this May. Find roles across top companies and apply now to boost your career.

560 data analytics analyst jobs In Doha

Data Analyst

Data Analyst

Data Analyst

Data Analyst – Business Intelligence

Data Analyst(Bangkok Based, relocation provided)

Marketing Data Analyst

Content Analyst