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business operations analyst

senior data analyst

Moove

<div>
 
 About Moove
 
 
 
 Moove is building the world&rsquo;s largest fleet and best-in-class technologies that power mobility platforms. Its flagship Drive-to-Own (DTO) product democratises access to vehicle ownership with a revolutionary revenue based financing model, enabling underserved mobility entrepreneurs to thrive.
 
 
 Moove&rsquo;s growth has been fuelled by its global Uber partnership and support of leading investors and lenders, including Uber, Mubadala, BlackRock, MUFG, and many others. With operations now spanning 19 cities across 6 continents - Africa, Asia, Europe, North America, South America, and the Middle East - Moove continues to expand its offerings through strategic acquisitions and partnerships with industry leaders, including Waymo and Uber. Moove is transforming mobility to make it safer, more efficient and accessible to all, while providing economic opportunities and supporting skills development in the mobility sector.
 
 
 
 About The Role
 
 
 
 We are looking for a Senior Data Analyst who can independently lead the design and delivery of high-impact BI dashboards, data models, and actionable insights to drive strategic decision-making across the organization. This role goes beyond traditional reporting, it involves full ownership of business problems, from identifying critical questions to delivering data-driven solutions and ensuring actions are implemented based on insights. The ideal candidate is both technically strong and business-savvy, capable of working autonomously while engaging stakeholders in adopting a data-informed culture.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 This role exists to empower the business with reliable, timely, and actionable data insights that directly impact key decisions.
 
 
 Critical outcomes for the next 6-12 months include:
 
 
 <ul>
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 Developing and deploying self-service BI dashboards that are actively used by stakeholders across departments.
 </li>
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 Delivering data models and insights that directly influence strategic decisions.
 </li>
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 Establishing a proactive analytics culture where stakeholders seek and apply data in decision-making.
 
 
 </li>
 </ul>
 Core Responsibilities:
 
 
 <ul>
 <li>
 Proactively identify business opportunities and challenges that can be addressed with data.
 </li>
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 Identify the best methods for data visualization to provide meaningful insights.
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 Build and ship self-service data models and reports that drive weekly business decisions.
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 Own the full analytics lifecycle without requiring management intervention.
 </li>
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 Drive action based on insights, not just deliver reports.
 </li>
 <li>
 Continuously educate stakeholders on data-informed decision making.
 
 
 </li>
 </ul>
 
 What You Will Need For This Position
 
 
 
 <ul>
 <li>
 5+ years of experience in data analytics, BI development, or a similar role.
 </li>
 <li>
 Proven ability to own analytics projects end-to-end, from scoping to implementation.
 </li>
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 Strong technical skills in SQL, data modeling, and BI tools (e.g., Power BI, Tableau, or Looker).
 </li>
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 Excellent data visualization and storytelling skills.
 </li>
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 Strong business acumen and ability to translate data into actionable insights.
 </li>
 <li>
 Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
 
 
 </li>
 </ul>
 
 Key Metrics
 
 
 
 <ul>
 <li>
 Delivery of at least three high-impact BI dashboards adopted by business stakeholders in the first year.
 </li>
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 Demonstrable improvement in decision-making speed and quality across departments.
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 Increase in self-service analytics adoption rate by at least 30% within 12 months.
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 Positive stakeholder feedback on data accessibility and usefulness.
 
 
 </li>
 </ul>
 
 Who You'll Be Working with:
 
 
 
 Directly reporting to our Senior Staff Data Scientist, and closely working with our Technology Team.
 
 
 
 About The Team
 
 
 
 Our team is collaborative, positive, curious, and engaged. We think fast, work smart, laugh often, and are looking for like-minded people to join us in our mission to disrupt vehicle ownership and make financial freedom within reach.
 
 
 Moove is strongly committed to diversity within its community. The Company&rsquo;s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently.
 
 
 
 Pre-hiring Notice:
 
 Moove relies on the accuracy of information contained in employment applications, as well as the accuracy of other data presented throughout the hiring process and during employment. Any misrepresentations, falsifications, or material omissions in any information or data provided by an applicant may result in the applicant being excluded from further consideration for employment or if an individual has already been hired, termination of employment.
 
 
 
 EEO Statement:
 
 Moove is an equal opportunity employer and does not discriminate on the basis of gender, race, sexual orientation, marital status, religion, political affiliation or any other protected characteristic.
</div>

Senior Data Analyst | Dubai

Binance

<div><div>Binance is a leading global blockchain ecosystem behind the world&rsquo;s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.</div>
<h3 class="jobSectionHeader">Responsibilities</h3><ul><li>
Conducted data analysis focused on User growth/AI chatbot scenarios.</li><li>
Delivered advanced analytics, reporting, and BI applications to support strategic decision-making.</li><li>
Supported and prioritized data requests from business stakeholders; interpreted change requirements and assessed their business impact.</li><li>
Partnered with cross-functional teams to identify and deliver high-impact analytical use cases.</li><li>
Led the implementation of AI (LLM)-based autonomous agents for data analysis, chatbot interaction, and sentiment monitoring.</li><li>
Mentored junior analysts in executing complex, data-driven projects under tight timelines.</li></ul><h3 class="jobSectionHeader">
Requirements</h3><ul><li>
5+ years of experience in data analytics, with deep expertise in statistics, machine learning, and data-driven decision-making.</li><li>
Proficient in SQL, Python, Spark, Power BI, and Tableau, capable of delivering end-to-end analytical solutions.</li><li>
Hands-on LLM experience in developing Prompt, RAG, Workflows,GenAI,Multimodal AI and Agents, with a strong track record of iterative optimization and performance enhancement.</li><li>
Strong AI product mindset, able to translate data insights into intelligent product features and drive innovation.</li><li>
Excellent English communication skills, experienced in collaborating across multinational and cross-cultural teams.</li><li>
Rich analytical background in Web3 or Internet e-commerce industry and AI bot analysis will be beneficial.</li></ul><div>
Why Binance</div><ul><li>Shape the future with the world&rsquo;s leading blockchain ecosystem</li><li>Collaborate with world-class talent in a user-centric global organization with a flat structure</li><li>Tackle unique, fast-paced projects with autonomy in an innovative environment</li><li>Thrive in a results-driven workplace with opportunities for career growth and continuous learning</li><li>Competitive salary and company benefits</li><li>Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)</li></ul><div></div><div> 
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.</div><div>
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.</div></div>

Senior Data Analyst - Chatbot/ User Growth (Artificial Intelligence)

Almosafer

<div>
 
 
 About the company:
 
 
 
 Almosafer (part of Seera Group) Saudi Arabia&rsquo;s Leading Travel Company
 
 
 
 
 
 Elevating the journey for travelers from Saudi Arabia, the region &amp; beyond, while harnessing Seera Group&rsquo;s 40+ years of expertise, Almosafer supports Saudi Arabia&rsquo;s vision as a national champion for tourism. Almosafer creates opportunities for outbound, leisure, and religious travel, whilst serving B2C and B2B customers, partners, and suppliers with state-of-the-art travel solutions, a digital-first mindset and travel advisory.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking a Senior Data Analyst to join Almosafer&rsquo;s Data Intelligence team, embedded within the Marketing and CRM function, to power acquisition and retention strategies with data. You will partner closely with digital marketing (brand and performance), CRM, and loyalty teams to optimize spend, increase retention, and maximize customer lifetime value, while ensuring analytics follow Data Intelligence standards and governance. The ideal candidate will have 5+ years of analytical experience in e-commerce or travel, strong expertise in digital marketing and CRM analytics, and hands-on experience with BI tools for delivering insights at scale. Knowledge of machine learning and rule-based models is a strong advantage.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 Acquisition &amp; Digital Marketing Analytics:
 
 <ul>
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 Act as the primary data partner for digital marketing channels (paid search, paid social, display, programmatic) and organic channels (SEO, referral, content).
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 Build and maintain attribution models to evaluate channel effectiveness and optimize spend.
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 Develop targeting strategies and audience segments for prospecting and retargeting campaigns.
 </li>
 </ul>
 
 
 
 
 CRM &amp; Retention Analytics:
 
 <ul>
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 Analyze customer behavior, repeat booking patterns, churn risk, and loyalty program engagement.
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 Build retention and churn prediction models to improve CRM targeting.
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 Measure and optimize CRM campaigns (email, push, in-app, SMS) for engagement and conversion.
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 Partner with CRM managers to design and analyze A/B tests for lifecycle marketing.
 </li>
 </ul>
 
 
 
 
 Advanced Modelling &amp; Data Solutions:
 
 <ul>
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 Design and deploy ML and rule-based models for bid optimization, lifetime value prediction, and personalized offers.
 </li>
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 Ensure marketing and CRM datasets are high-quality and aligned with DI governance.
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 Work with Marketing Automation teams to integrate model outputs into execution tools (Moengage, Salesforce Marketing Cloud, etc.).
 </li>
 </ul>
 
 
 
 
 BI Reporting &amp; Data Storytelling:
 
 <ul>
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 Build self-service dashboards in Tableau, Power BI, Looker, or similar to monitor acquisition, retention, and ROI metrics.
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 Translate data into clear, actionable insights for marketing and CRM leadership.
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 Monitor and report on KPIs such as CAC, ROAS, CLV, retention rates, and campaign ROI.
 </li>
 </ul>
 
 
 
 
 Collaboration &amp; Governance:
 
 <ul>
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 Act as a bridge between Marketing/CRM and the central Data Intelligence function, ensuring consistent definitions and methodologies.
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 Share analytical best practices with other embedded analysts across functions.
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 Promote data literacy within marketing and CRM teams.
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 </ul>
 
 
 
 
 
 Profile Requirements:
 
 
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 Bachelor&rsquo;s or Master&rsquo;s degree in STEM, Business Analytics, or related field.
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 5+ years of experience as a Data Analyst, preferably in e-commerce, online travel, or digital-first businesses.
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 Proficiency in SQL, Python or R, and advanced Excel.
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 Strong experience in digital marketing analytics platforms (Google Analytics, Google Ads, Facebook Ads Manager, DV360) and CRM analytics.
 </li>
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 Hands-on experience with BI tools such as Tableau, Power BI, Looker, or similar for dashboard development and storytelling.
 </li>
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 Strong knowledge of customer lifecycle metrics (CAC, CLV, churn rate, retention cohorts).
 </li>
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 Excellent stakeholder management and communication skills; English fluency (Arabic preferred).
 </li>
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 Experience building and deploying machine learning models for acquisition and retention.
 </li>
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 Knowledge of rule-based targeting and marketing automation tools (Moengage, Salesforce Marketing Cloud, Adobe Campaign).
 </li>
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 Familiarity with big data warehouses (Google BigQuery, AWS Redshift, Snowflake).
 </li>
 </ul>
 
 
 
 
 
 Being you @ Almosafer:
 
 
 
 At Almosafer we strongly believe in diversity and equal opportunities for all candidates. We do not discriminate based on any characteristic and follow fair employment practices regarding citizenship and immigration status. Join our inclusive work environment.
 
</div>

Senior Specialist - Data Intelligence

Spider Plus

This is not a typical secretarial role !We are looking for a proactive and detail-oriented Female Secretary to support our General Manager. you will play a key part in data management, analysis, and reporting, turning complex departmental data (Operations, Finance, Sales, HR, Engineering etc ) into clear summary reports and dashboards that support executive decisions.Key Responsibilities<ul><li>Collect, consolidate, and analyze data from multiple departments.</li><li>Prepare summary reports, dashboards, and presentations for management review.</li><li>Ensure accuracy and consistency of departmental data submissions.</li><li>Assist in data-driven decision-making by highlighting key trends and variances.</li><li>Maintain a structured filing and data management system</li><li>Provide full secretarial and administrative support to the GM, including managing schedules, meetings, and correspondence.</li></ul>Qualifications &amp; Skills<ul><li>Bachelor&rsquo;s degree in Business Administration, Data Management, or related field.</li><li>Proven experience as Executive Secretary, Personal Assistant, Data Analyst Assistant, or similar role.</li><li>Strong proficiency in MS Excel (pivot tables, charts, formulas), PowerPoint, and MS Office Suite.</li><li>Experience in data management, analysis, and reporting across multiple departments.</li><li>Hands-on experience in Looker Studio / Google Data Studio and Canva will be an advantage.</li><li>Excellent organizational and time management skills.</li><li>Strong written and verbal communication skills.</li><li>Ability to handle sensitive information with confidentiality.</li><li>Proactive, detail-oriented, and able to work independently under pressure.</li></ul>If you are detail-oriented, tech-savvy, and thrive in a fast-paced executive support role, we&rsquo;d like to meet you!Job Type: Full-timePay: AED3,500.00 - AED6,000.00 per monthApplication Question(s):<ul><li>How many years of experience do you have in data analysis and data management?</li><li>What is your level of proficiency in MS Excel (Basic / Intermediate / Advanced)?</li><li>Do you have experience using Looker Studio / Google Data Studio? (Yes/No &ndash; If yes, how long?)</li><li>Do you have experience using Canva for reports or presentations? (Yes/No)</li><li>Have you prepared summary reports or dashboards for senior management before? (Yes/No)</li><li>Are you comfortable consolidating data from multiple departments (Finance, Sales, HR, Operations, Engineering)? (Yes/No)</li><li>What is your notice period / availability to join?</li></ul>Experience:<ul><li>data analysis : 3 years (Required)</li><li>data management: 3 years (Required)</li></ul>

Executive Secretary with strong Data Analysis & Reporting skills

Cavendish Maxwell

<div>We are seeking a highly skilled and experienced Senior Research Analyst to join our team in Dubai. This is an exciting opportunity for a seasoned professional with a passion for real estate, extensive market knowledge, and a sharp analytical mindset to play a pivotal role in supporting the business.
In this role, you will be responsible for delivering strategic insights and market intelligence that inform business decisions, shape client strategies, and drive the success of a range of real estate data projects and initiatives. Working closely with internal stakeholders, you will ensure the timely production and delivery of data-driven reports, briefings, and commentary that address specific operational and strategic needs.
The ideal candidate will have a proven track record in real estate research and analytics, with the ability to transform complex quantitative and qualitative data into clear, actionable insights. You will be adept at managing datasets, ensuring accuracy and integrity, and staying ahead of industry trends, regulatory developments, and market shifts across the UAE and wider region.
Key responsibilities:
<ul><li>Conduct in-depth quantitative and qualitative market research to generate valuable insights</li>
<li>Build, maintain, and refine structured datasets, ensuring accuracy and reliability</li>
<li>Perform regular data audits to uphold high standards of data quality</li>
<li>Analyse internal and external real estate data to support commercial decision-making</li>
<li>Produce regular market briefings, insight papers, and commentary for internal use</li>
<li>Monitor real estate policy, regulatory changes, and planning frameworks to assess market implications</li>
<li>Translate complex data into clear, insight-led outputs for reports, dashboards, and presentations</li>
<li>Collaborate with internal stakeholders to understand research requirements and deliver tailored outputs</li>
<li>Support RFPs and technical submissions with relevant market data and analysis</li>
<li>Participate in client meetings and prepare written materials as required</li>
<li>Represent the research function internally and externally through presentations and published commentary</li>
<li>Provide guidance and mentorship to junior team members</li>
<li>Maintain awareness of industry trends and monitor the competitive research landscape across the UAE and wider region</li>
</ul>
Qualifications and Experience:
<ul><li>Bachelor&rsquo;s degree in Real Estate, Economics, Finance, or a related field; a Master&rsquo;s degree is advantageous</li>
<li>Minimum 5 years&rsquo; experience in real estate research, with exposure to residential, commercial, or hospitality sectors</li>
<li>In-depth knowledge of the local UAE real estate market; familiarity with the wider MENA region is highly advantageous</li>
<li>Proven experience in managing research projects and supporting team members</li>
</ul>
Skills and Attributes:
<ul><li>Excellent written and verbal communication skills, with the ability to present complex information clearly</li>
<li>Strong organisational skills with a structured, analytical approach</li>
<li>Exceptional attention to detail and accuracy</li>
<li>Confident managing multiple priorities and meeting deadlines in a fast-paced environment</li>
<li>Self-motivated and proactive, with the ability to work independently and collaboratively</li>
<li>Proficient in Microsoft Excel and PowerPoint; comfortable preparing client-ready outputs</li>
<li>Experience with data visualisation tools such as Tableau (preferred)</li>
<li>Working knowledge of SQL, R, or Python (desirable but not essential)</li>
</ul>
What you can expect from us:
At Cavendish Maxwell, we are proud to be certified as a Great Place to Work, reflecting our commitment to fostering a collaborative, inclusive, and supportive environment. We prioritise teamwork and knowledge-sharing to address challenges and continually raise standards across the organisation.
We invest in our most valuable resource: our people. By offering opportunities to work in a multidisciplinary consultancy alongside highly qualified colleagues from around the world, we ensure your growth and success.
Our competitive tax-free salary and benefits package is designed to attract and retain top talent. If you are looking for a workplace where you will be challenged, supported, and rewarded, Cavendish Maxwell is the place for you.
Disclaimer:
Your application data will be handled and processed in strict accordance with our privacy policy.</div>

Senior Research Analyst

<div>
 
 
 
 Job Description
 
 
 
 
 
 
 
 The Senior Manager of Machine Learning Ops Engineers leads a team that focuses on the deployment, monitoring, and maintenance of machine learning solutions in production environments to ensure high efficiency and reliability
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 <ul>
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 Manage and oversee the development and implementation of ML systems in production.
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 Collaborate with ML scientists and engineers to transition algorithms from prototyping to production.
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 Optimize ML pipelines for performance and scalability.
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 Ensure continuous integration and deployment (CI/CD) of ML models.
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 Develop and maintain a monitoring system for deployed models to ensure they perform as expected.
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 Lead, mentor, and grow the MLOps team.
 </li>
 <li>
 Ensuring the reliability and robustness of machine learning systems in production.
 </li>
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 Achieving targeted performance metrics and system uptime.
 </li>
 <li>
 Compliance with data privacy and security regulations.
 </li>
 <li>
 Timely update and iteration of ML models in response to new data and feedback.
 </li>
 <li>
 Budget management and resource allocation for the MLOps function
 </li>
 </ul>
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 <ul>
 <li>
 Bachelors in Information Technology or Computer Science
 </li>
 <li>
 5+ years of experience in data science or a related role
 </li>
 </ul>
 
 
 
 
 We thank all applicants for their interest, however only those shortlisted for an interview will be contacted. If you have not heard from us within two weeks of your application, please consider your application as unsuccessful.
 
 
 
 
 
 
 At e&amp; diversity is our strength and we are committed to creating an inclusive environment for all. We welcome and encourage all people to apply, regardless of gender, background, age and abilities. If you are a person of determination and require an adjustment or accommodation to the selection process, please send your request to DiversityEquity&amp;Inclusion@eand.com
 
 
</div>

Senior Manager/ML & Advanced Analytics

EyeSpy Recruitment - iGaming Specialists

<div>
 
 Our client is a leading global B2B content provider within the iGaming iGaming industry with over 9000 employees. The C-level are looking to bolster their ecosystem team that focuses on all interactions players enjoy outside their games and the parts that connect to their ecosystem inside of games. If you&rsquo;re able to bring thoughtful, data-driven reasoning, obsessive insights, and coordination execution to a highly driven, fast-moving, and talented team, you&rsquo;ll fit right in.
 
 
 
 
 
 
 This s a very senior data/BI role; working closely with lobby specialists, promotion teams, product owners, commercial specialists, designers, business analysts, and development teams, this is a hands-on role that can be on the ground in Gibraltar, Dubai, Serbia, Romania, Latvia, Malta, Isle of Man, or remote.
 
 
 
 
 
 
 
 What You Will be Doing
 
 
 
 
 
 
 
 Tracking Strategy &amp; Data Governance:
 
 
 
 
 
 <ul>
 <li>
 Define daily KPIs and maintain a clear data dictionary that will be used to determine insights and chart success.
 </li>
 <li>
 Work with Lobby Specialist to set detailed tracking metrics, tagging structures, dimensions, parameters, and report frameworks.
 </li>
 <li>
 Work with Product and Development teams to ensure tracking requirements are correctly implemented.
 </li>
 <li>
 Remain vigilant regarding our data quality. Does the data line up with our expectations? Scrutinize the information, investigate, and escalate any issues to ensure that we are quick to respond.
 </li>
 <li>
 Expand our tracking capabilities so that you and the business can make better informed decisions regarding the lobby and broader ecosystem.
 </li>
 </ul>
 
 
 
 
 
 Analysis &amp; Reporting
 
 
 
 
 
 <ul>
 <li>
 Analyze activity data, focusing on acquisition metrics (how many players are managing to attract to the lobby), retention metrics (how good of a job are doing of getting repeat lobby visitors and users), and behavioral metrics.
 </li>
 <li>
 Identify and track key user flows and funnels in the lobby. Liaise with Business Intelligence and Development to put necessary measurement tools into place.
 </li>
 <li>
 Document your analysis methodologies for the broader team.
 </li>
 <li>
 Review algorithmic outputs to ensure the recommendations are sensible and align with expected player behaviours.
 </li>
 <li>
 Help curate game titles in the lobby, so that (a) new releases are getting the real estate and exposure they deserve, (b) popular titles are easily discovered and played, (c) recommendation algorithms fit well with manual curation, and (d) the organisational structure of the lobby lends itself well to a strong discovery experience.
 </li>
 </ul>
 
 
 
 
 
 Strategic Insight &amp; Stakeholder Support
 
 
 <ul>
 <li>
 Identify trends and insights in the data to make recommendations to (a) Commercial teams for features they should be pushing, (b) Promotion and Marketing teams for manual curation matters, and (c) Product teams to review, consider, and include in the product roadmap.
 </li>
 <li>
 Help Product define and measure what success looks like for specific features and perform pre- and postlaunch analyses.
 </li>
 <li>
 Provide timely data and insights to Commercial teams to help them focus their efforts and effectively position our products and upcoming features in client conversations.
 </li>
 <li>
 Present clear, actionable insights to various audiences in the most effective format.
 </li>
 </ul>
 
 
 
 
 
 ROLE REQUIREMENTS
 
 
 <ul>
 <li>
 You MUST have experience working with BI &amp; data science teams to define and pull operational data necessary for you to conduct your responsibilities.
 </li>
 <li>
 You MUST have experience analysing acquisition, retention, and user experience data in a complex, large-scale product portfolio, ideally with experience in iGaming.
 </li>
 <li>
 
 You MUST have a well-rounded background in business intelligence/data science mixed with a commercial mindset. Understanding how to connect the two is vital to this role.
 
 </li>
 </ul>
 
 
 
 
 
 Key Experience Areas
 
 
 <ul>
 <li>
 You will have worked with reporting suites like Tableau (or similar) and understand how you can build out dashboard and reports.
 </li>
 <li>
 You are familiar with the setup, management, and reporting of digital analytic tools, such as GA4, Adobe Analytics, Snowplow, or similar
 </li>
 <li>
 You will be presenting a lot of information to different audiences around the business. You need to have mastery over the Office Suite and any other digital design products that can clearly communicate and relay your ideas.
 </li>
 <li>
 Ideally you are experienced with digital experience analytic tools like Hotjar or Fullstory would be an asset.
 </li>
 <li>
 Ideally you will have some technical background or knowledge in the data space.
 </li>
 </ul>
</div>

Senior BI Analyst

Explore 2143+ Senior data analyst in Dubai this September. Find roles across top companies and apply now to boost your career.