senior data engineer

data analyst

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data quality engineer (databricks) Jobs in Dubai

data quality engineer (databricks)

senior data analyst

data analytics analyst

AIQU

<div>
 
 We are hiring
 
 Data Analyst
 
 to join one of our major clients based in
 
 Dubai, UAE.
 
 
 
 
 
 
 Job Location - Dubai, UAE
 
 
 Job Type - 12 months Contract (Extendable)
 
 
 
 
 
 
 About Role
 
 
 
 We are seeking a detail-oriented and analytical Data Analyst with experience in Anti-Money Laundering (AML) to support our AML team.
 
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 3&ndash;8 years of experience as a Data Analyst with AML domains.
 </li>
 <li>
 Strong proficiency in Azure Data Lake- SQL for data extraction, transformation, and analysis.
 </li>
 <li>
 Experience with data visualization and reporting tools such as Power BI.
 </li>
 <li>
 Knowledge of AML, KYC related domains.
 </li>
 <li>
 Bachelor's degree in Data Analytics, Computer Science, Statistics or a related field.
 </li>
 </ul>
 
 
 
 
 
 
</div>

Data Analyst

Hermès

<div>
 
 Job Title: D
 
 
 ata analyst
 
 
 
 
 REPORTS TO: SENIOR RETAIL EXCELLENCE MANAGER
 
 
 
 
 Location: DUBAI
 
 
 
 
 Organisation unit: Hermes middle east
 
 
 
 
 GENERAL MISSION
 
 
 
 Herm&egrave;s is looking for a Data Analyst to strengthen its understanding of both clients and business dynamics across our 6 stores in the Middle East region. The role combines customer‑centric analyses with deep business performance insights to support teams in elevating service, client experience, and retail excellence. By ensuring high data quality and transforming complex information into actionable recommendations, the Data Analyst will help the Maison make informed decisions that advance both customer knowledge and operational performance.
 
 
 
 Responsibilities
 
 
 
 
 Dashboards creation &amp; maintaining
 
 
 
 <ul>
 <li>
 Design and produce dashboards/reports to provide in-depth analysis of business performance and clients&rsquo; behaviour (e.g. client journey, spending patterns)
 </li>
 <li>
 Collaborate with Group and Europe Data Analytics Team to enrich the current dashboards with more insights
 </li>
 <li>
 Ensure the accuracy, consistency, and reliability of data presented in all dashboards and reports, implementing robust data validation processes.
 </li>
 <li>
 Proactively gather and translate evolving business requirements from various stakeholders into actionable specifications for new dashboard development and enhancements
 
 
 </li>
 </ul>
 
 CUSTOMER DATA QUALITY
 
 
 
 <ul>
 <li>
 Improve the customer database quality and animate the retail teams to share best practices in Customer data capture
 </li>
 <li>
 Ensure regular monitoring of the customer database by developing dedicated analyses and Reports
 </li>
 <li>
 Support and deploy Group projects locally, adapting to specific market needs
 </li>
 <li>
 Develop assets to train sales teams on customer data management
 
 
 </li>
 </ul>
 
 Customer Knowledge
 
 
 
 <ul>
 <li>
 Be responsible of customer knowledge for the subsidiary by sharing retail and customer orientated insights
 </li>
 <li>
 Analyse customer patterns and retail performances to support strategic decisions
 </li>
 <li>
 Proactively monitor and identify emerging client behaviors, market trends, and competitive landscapes to anticipate future opportunities and challenges
 </li>
 <li>
 Support customer targeting initiatives with CRM analyses and provide detailed customer profile analyses
 </li>
 <li>
 Accompany group analytics initiatives, such as customer segmentation, and animate them across the subsidiary
 </li>
 <li>
 Perform ad-hoc analysis to answer specific business questions or deepen understanding of behavior or trends that are not available in existing automated dashboards
 
 
 </li>
 </ul>
 
 Retail excellence &amp; Business performance
 
 
 
 <ul>
 <li>
 Analyse on a regular basis (e.g. weekly, monthly) the retail performance and key KPIs (e.g. sales, sales per metiers, traffic, conversion rate, UPT, average basket)
 </li>
 <li>
 Propose recommendations and build action plans
 </li>
 <li>
 Ensure harmonization and alignment of performance indicators across teams and stores, aligned with the Group
 </li>
 <li>
 Contribute to the preparation of business reviews, strategic committees, and management presentations, providing clear and data-backed narratives
 
 
 </li>
 </ul>
 
 Experience &amp; Requirements
 
 
 
 <ul>
 <li>
 Master's degree (Bac +5) in Engineering or in Science / Data Analysis / Computer Science, and a minimum of 3 to 5 years&rsquo; experience in a similar role
 </li>
 <li>
 Confirmed background in statistical methodologies and social behaviour analysis
 </li>
 <li>
 Proficiency in programming languages (SQL, Python, etc.) and BI and visualization tools (Power BI and/or Cognos IBM)
 </li>
 <li>
 Proficient in data analysis and reporting
 </li>
 <li>
 Ability to analyse and synthesize
 </li>
 <li>
 Customer and business orientated mindset
 </li>
 <li>
 Curiosity and adaptability
 </li>
 <li>
 Discretion and confidentiality
 </li>
 <li>
 Team spirit
 </li>
 <li>
 Fluent preferably in multiple languages with spoken and written English mandatory. Arabic &amp; French are a plus.
 </li>
 </ul>
</div>

Retail Data Analyst

Puffy

<div>
 
 
 Join the pioneer tribe. AI-First since December 2023.
 
 
 
 
 
 
 
 Position:
 
 Data Analyst (A/B Testing &amp; Experimentation)
 
 
 
 Total Annual Package: Up to AED 348,000 (Tax-Free) +
 
 comprehensive benefits
 
 
 &bull; Base: AED 20,000 &ndash; 25,000/month (AED 240,000 &ndash; 300,000/year)
 
 
 &bull; Performance bonus: up to 10% of base, paid monthly
 
 
 
 Location:
 
 Dubai, UAE (On-site) with relocation assistance and visa support
 
 
 
 
 
 
 About the Role:
 
 
 
 If you spend your days running A/B tests, analyzing conversion funnels, and digging into why users drop off before checkout &mdash; and you write your own SQL and Python to get those answers &mdash; this role is built for you. General analysts and program managers without hands-on technical and experimentation skills won't be a fit.
 
 
 
 
 
 You'll own Puffy's experimentation program from hypothesis to business recommendation. You pull data from Shopify, GA4, Google Ads, and BigQuery yourself. You design the test, run the statistical analysis, and tell the business what to change and why. Every recommendation you deliver has to be clear enough that marketing, UX, and development can act on it the same week.
 
 
 
 
 
 
 The Career Accelerator:
 
 
 
 Puffy runs a high volume of experiments across a $1B+ e-commerce platform. You'll be involved in more A/B tests, conversion analyses, and data pipeline builds in your first year than most analysts see in three. You'll work across departments &mdash; marketing, UX, development, operations &mdash; which means broader context and faster pattern recognition. The pace is demanding, and it rewards people who are genuinely curious and want to sharpen their craft quickly.
 
 
 
 
 
 
 What Is In It For You:
 
 
 
 This isn't just another analytics role. This is your chance to become a true industry architect.
 
 
 
 
 
 
 1. Own the Full Experimentation Cycle &mdash; Not Just the Dashboard.
 
 Most data analysts inherit someone else's reporting setup and maintain it. Here, you own hypothesis generation, test design, statistical analysis, and the business recommendation that follows. You build your own pipelines across Shopify, GA4, Google Ads, and BigQuery &mdash; no waiting in a queue for data, no presenting metrics without a point of view. You still report to the manager, but the experimentation output is yours to drive. Within 12 months, you'll have more hands-on testing reps than analysts accumulate in three years elsewhere.
 
 
 
 2. Join the Elite Organization and Partner with the 1%:
 
 
 <ol>
 <li>
 🏆 Top 5 Mattress Brand in the USA with Over $1 Billion USD in Sales
 </li>
 <li>
 🌍 Great Place to Work Certified
 </li>
 <li>
 💡 Work with Forbes Council Member CEO Gain firsthand exposure to strategic decisions and high-velocity execution that drives a global brand.
 </li>
 </ol>
 
 
 3. Experience a World-Class Lifestyle.
 
 Dubai offers a tax-free salary, world-class infrastructure, year-round sunshine, and a global lifestyle that most professionals only experience later in their careers. Your entire compensation package lands in your account &mdash; no deductions, no surprises.
 
 
 
 4. Become the Person Who Knows Why Things Convert.
 
 In most companies, analysts report numbers. Here, you're the person who tells the business what to change and why. When a test wins or loses, your analysis is the reason leadership moves. You'll build the instinct to separate signal from noise across segments, devices, and traffic sources &mdash; and the communication skills to make non-technical stakeholders act on what you find.
 
 
 
 
 
 
 What You'll Need:
 
 
 <ol>
 <li>
 3+ years in data analysis, experimentation, or CRO within e-commerce, D2C, or any high-traffic transactional website (fintech, marketplaces, SaaS, banking)
 </li>
 <li>
 Strong SQL &mdash; complex joins, window functions, CTEs across large datasets without relying on pre-built dashboards
 </li>
 <li>
 Working Python (or R) for data manipulation, statistical analysis, and automation
 </li>
 <li>
 Proven A/B testing experience &mdash; hypothesis design through statistical analysis to business recommendation; solid grasp of sample sizing, significance thresholds, and common pitfalls
 </li>
 <li>
 Hands-on GA4 experience &mdash; event-based tracking, custom explorations, and the ability to tie GA4 data to other sources
 </li>
 <li>
 Experience integrating ad platform data (Google Ads, Meta) with site analytics to see the full acquisition-to-conversion funnel
 </li>
 <li>
 Ability to independently connect to and pull from multiple data sources (APIs, warehouses, flat files) without engineering support
 </li>
 <li>
 Sharp analytical communication &mdash; complex findings distilled into concise recommendations for non-technical stakeholders
 </li>
 <li>
 Proactive and curious &mdash; you spot testing opportunities and chase root causes before anyone asks
 </li>
 </ol>
 
 
 
 
 
 Good-to-Have:
 
 
 <ol>
 <li>
 Experience with BigQuery or AWS data warehousing, including scheduled queries and data modeling
 </li>
 <li>
 Familiarity with session replay and heatmap tools (FullStory, Hotjar) for qualitative behavioral analysis
 </li>
 <li>
 Background in Looker, Tableau, or similar dashboarding tools
 </li>
 </ol>
 
 
 
 
 
 The Puffy DNA:
 
 
 
 We're restless, perpetually hungry, and fast-paced, driven by an unwavering belief that we can outperform any competitor &mdash; regardless of their size.
 
 <ol>
 <li>
 
 Be the Owner:
 
 We don't hire employees; we welcome owners. You're accountable for results, not activity.
 </li>
 <li>
 
 Execute with Urgency:
 
 We thrive in high-stakes environments by making thoughtful decisions quickly and acting decisively.
 </li>
 <li>
 
 Demand Excellence:
 
 We solve the hard problems that others can't, pushing the boundaries of our craft.
 </li>
 <li>
 
 Be AI-First:
 
 Daily multi-turn AI conversations challenge your assumptions.
 </li>
 <li>
 
 Go All-In:
 
 When the mission demands it, we rally as one team to cross the finish line.
 </li>
 </ol>
 
 
 
 
 
 ✨ Your Total Compensation &amp; Benefits:
 
 
 
 
 
 
 💰
 
 Compensation:
 
 
 <ol>
 <li>
 Monthly performance bonuses (up to 10%)
 </li>
 <li>
 Tax-free income
 </li>
 <li>
 Annual return flight allowance to your home country
 </li>
 <li>
 Parking allowance (up to AED 7,800 annually)
 </li>
 </ol>
 
 
 
 
 🏥
 
 Health &amp; Protection:
 
 
 <ol>
 <li>
 Premium worldwide health coverage (upto AED 1Million)
 </li>
 <li>
 Life insurance &amp; Personal Accident Insurance (24x monthly salary)
 </li>
 </ol>
 
 
 
 
 
 🌴 Time Off:
 
 
 <ol>
 <li>
 22 working days annual leave + UAE public holidays
 </li>
 </ol>
 
 
 
 
 
 🌍 Relocation Support (International Hires):
 
 
 <ol>
 <li>
 UAE work visa sponsorship
 </li>
 <li>
 International flights &amp; airport transfers
 </li>
 <li>
 14-day 4-star hotel accommodation
 </li>
 </ol>
 
 
 
 
 
 💼 Work Environment:
 
 
 <ol>
 <li>
 AI First organization with access to AI-native tool stack
 </li>
 <li>
 Premium office environment in Dubai Internet City
 </li>
 <li>
 Learning &amp; development opportunities
 </li>
 <li>
 International team collaboration (14+ nationalities)
 </li>
 </ol>
 
 
 
 
 
 🏆 Rewards &amp; Recognition:
 
 
 <ol>
 <li>
 Eligibility for selection to the Leaders Club &mdash; an elite recognition program featuring premium wellness memberships, exclusive networking with senior leadership, and annual leadership retreats
 </li>
 <li>
 Eligibility for nomination as 'We Are' Champion of the Month &mdash; monthly recognition with gift vouchers and company-wide celebration for exceptional contributions
 </li>
 </ol>
 
 
 
 
 
 ✅ Other Benefits:
 
 
 <ol>
 <li>
 End of Service Gratuity per UAE law
 </li>
 </ol>
 
 
 
 
 The alternative is another year where your potential is capped and your best hypotheses die in a backlog no one reads.
 
 
 
 
 
 
 Ready to Shape Your Story?
 
 Click "Apply" and take the first step.
 
</div>

Delivery Hero

<div>Company Description 
Since launching in Kuwait in 2004, talabat has become the region&rsquo;s leading on-demand delivery app, serving millions of customers across eight countries. Our Quick Commerce (QC) Hub powers the grocery and convenience delivery experience &mdash; getting everyday essentials to customers&rsquo; doors in minutes, not hours.
Behind every delivery is data. Our QC data team works at a scale most data scientists only read about: millions of daily transactions, thousands of partners, and decisions that directly shape how people across the Middle East get their groceries delivered. We&rsquo;re building an analytics-first culture where every product and business decision is grounded in evidence. 
Job Description 
Why This Role
As a Data Scientist on the QC Hub team, you&rsquo;ll be the analytical brain behind one of talabat&rsquo;s fastest-growing verticals. You won&rsquo;t just crunch numbers &mdash; you&rsquo;ll partner directly with product and business leaders to shape strategy, design experiments that affect millions of users, and build the data foundations that power smarter decisions.
This is a role for someone who loves turning messy, ambiguous business questions into clean, actionable analysis &mdash; and who gets energy from seeing their insights change how a team operates.
What Success Looks Like<ul><li>
First 90 days: You&rsquo;ve ramped up on your domain, built relationships with your product and business partners, understood the data landscape, and delivered your first actionable analysis.</li><li>
By 6 months: You&rsquo;re the go-to analytical partner for your domain. You&rsquo;re independently designing and running experiments, and stakeholders regularly act on your recommendations.</li><li>
By 12 months: Your work has measurably improved decision quality in your domain. You&rsquo;ve built or refined data models that the team relies on daily, and you&rsquo;re mentoring newer team members on analytical best practices.</li></ul>
What You&rsquo;ll Actually Do
You&rsquo;ll spend roughly:<ul><li>
40% on deep analysis and experimentation &mdash; designing A/B tests, running multivariate experiments, doing deep dives into performance drivers, and turning findings into clear recommendations.</li><li>
30% on data modelling and quality &mdash; building and maintaining the data models that let us measure what matters, profiling source data, and ensuring data reliability.</li><li>
30% working with stakeholders &mdash; partnering with product and business managers to frame the right questions, set meaningful KPIs, and present insights that drive action.</li></ul>
Day-to-day, you&rsquo;ll:<ul><li>
Turn ambiguous business questions into structured analytical problems</li><li>
Build and maintain dimensional data models in BigQuery</li><li>
Design, execute, and interpret experiments (A/B and multivariate)</li><li>
Create automated dashboards and reports that stakeholders actually use</li><li>
Challenge assumptions with data &mdash; including your own</li><li>
Collaborate with data engineers on logging and data pipeline quality</li></ul>
You&rsquo;ll Thrive Here If You&hellip;<ul><li>
Love being embedded with business teams, not siloed in a data team</li><li>
Get satisfaction from changing how decisions are made, not just producing reports</li><li>
Are comfortable with ambiguity &mdash; many of your best projects will start as vague questions</li><li>
Care deeply about data quality and are willing to dig into source systems to understand what the data actually means</li><li>
Communicate clearly with non-technical stakeholders</li></ul>
This Might Not Be For You If You&hellip;<ul><li>
Want to build ML models full-time (this role is analytics and experimentation focused)</li><li>
Prefer working independently without regular stakeholder interaction</li><li>
Need clearly defined problems handed to you</li><li>
Are more interested in tools and techniques than business impact</li></ul> 

Qualifications 
What You Bring 
Education
Degree in a quantitative field (statistics, mathematics, economics, computer science, engineering, or similar) &mdash; or equivalent practical experience. A postgraduate degree is a plus but not required.
Must-Haves:<ul><li>
Strong SQL skills &mdash; you can write complex queries with window functions, CTEs, and optimise for performance on large datasets</li><li>
Reproducible analysis in Python or R &mdash; you write clean, well-structured analytical code, not one-off scripts</li><li>
Experiment design expertise &mdash; you understand when to use A/B vs. multivariate tests, can calculate sample sizes, and know the pitfalls of statistical testing</li><li>
Full analysis lifecycle experience &mdash; from problem framing through data auditing, analysis, interpretation, and presenting recommendations</li><li>
Data modelling knowledge &mdash; you understand dimensional design and can build models that serve both ad-hoc analysis and automated reporting</li><li>
Product analytics intuition &mdash; you&rsquo;re familiar with metrics like conversion, engagement, and retention, and know how to measure product health</li><li>
3+ years in data science, analytics, or a related quantitative field</li></ul>
Nice-to-Haves:<ul><li>
Experience with BigQuery and Google Cloud Platform</li><li>
Data engineering skills (Airflow, dbt, or similar pipeline tools)</li><li>
Experience with ML frameworks (Scikit-learn, XGBoost, LightGBM)</li><li>
Familiarity with modern data tools and AI-assisted analysis workflows</li><li>
Experience in an online consumer product or marketplace environment</li></ul> 

Additional Information 
What We Offer<ul><li>
Impact at scale &mdash; your work directly affects how millions of people get their daily essentials</li><li>
An analytics-first culture &mdash; a data team that&rsquo;s genuinely invested in analytical excellence, not just dashboarding</li><li>
Modern tooling &mdash; BigQuery, GCP ecosystem, and the freedom to experiment with new approaches including AI-assisted workflows</li><li>
Career growth &mdash; past data scientists on the team have grown into senior individual contributor roles and analytics leads</li><li>
Great Place to Work &mdash; talabat is a certified Great Place to Work across multiple countries in the region</li></ul></div>

Data Scientist II - Analysis, QC

Innovative Generations

Job Type: Full-time / Part-time Salary: AED 3,000 - AED 3,500 per month Location: Dubai, UAEJob DescriptionWe are seeking a passionate and experienced Data Analytics Trainer to deliver practical, industry-focused training programs to students and professionals. The ideal candidate should have strong expertise in data analytics tools and the ability to simplify complex concepts through engaging, hands-on learning experiences.Key Responsibilities<ul><li>Deliver training in Data Analytics, Business Intelligence, and Data Visualization</li><li>Teach Excel, SQL, Power BI, Tableau, and Python for Data Analytics</li><li>Develop lesson plans, assignments, projects, and assessments</li><li>Conduct practical sessions using real-world datasets</li><li>Guide students in dashboard creation, reporting, and data interpretation</li><li>Monitor student progress and provide feedback</li><li>Stay updated with industry trends and emerging analytics technologies</li></ul>Requirements<ul><li>Bachelor's Degree in Computer Science, IT, Statistics, Mathematics, Data Analytics, or a related field</li><li>2&ndash;4 years of experience in Data Analytics, Business Intelligence, or a related field</li><li>Strong knowledge of Excel, SQL, Power BI, Tableau, and Python</li><li>Excellent communication and presentation skills</li><li>Previous training or teaching experience is an advantage</li><li>Ability to engage and motivate learners of different skill levels</li></ul>Benefits<ul><li>Professional and supportive work environment</li><li>Career growth opportunities</li><li>Flexible Full-time / Part-time options</li></ul>Apply NowEmail: management@legendsdxb.com WhatsApp: +971 58 594 4249 Website: www.legendsdxb.comJob Type: Full-timePay: AED3,000.00 - AED3,500.00 per monthApplication Question(s):<ul><li>Are you willing to commute/relocate to Dubai?</li></ul>Work Location: In person

Data Analytics Trainer

Udrive

<div>
 
 Udrive
 
 is seeking a detail-oriented and motivated Junior Data Analyst to support cross-functional analytics needs for our business. This role will assist our analytics team in managing operational reporting, automating workflows, conducting exploratory analyses, and ensuring data integrity across platforms.
 
 
 You&rsquo;ll work closely with business teams including Operations, Product, Marketing, and Customer Service to deliver data-driven insights and maintain reporting excellence.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Reporting, Analysis Visualization: Build and maintain recurring reports and dashboards using Tableau Excel, and internal tools.
 </li>
 <li>
 Track key performance indicators (KPIs) across fleet, operations, marketing, and business lines.
 </li>
 <li>
 Assist in visual storytelling and communicating insights to stakeholders in a clear, digestible format.
 </li>
 <li>
 Conduct exploratory and ad-hoc analyses to support initiatives like fleet optimization, customer segmentation, marketing initiatives.
 </li>
 <li>
 Collaborate with marketing, product, engineering to derive actionable insights from raw datasets.
 </li>
 <li>
 Support the automation of recurring data processes using SQL, Python
 </li>
 <li>
 Data Quality Governance: Perform data audits to ensure consistency, accuracy, and completeness. Identify and flag anomalies, track data lineage, and maintain documentation for analytics workflows.
 </li>
 <li>
 Document Data Processes, Dashboards Requests
 </li>
 <li>
 Collaboration Support Partner with stakeholders in Operations, Marketing, Product, and CS to address analytical requests and performance queries.
 </li>
 <li>
 Help train teams in reading dashboards and interpreting KPIs.
 
 
 </li>
 </ul>
 
 Qualifications Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Engineering, or a related field.
 </li>
 <li>
 0&ndash;2 years of experience in a data analyst or business analyst role.
 </li>
 <li>
 Proficiency in SQL and working knowledge of Python (Pandas, NumPy, etc.).
 </li>
 <li>
 Experience with data visualization (Tableau, Power BI, SuperSet) Strong Excel/Google Sheets skills.
 </li>
 <li>
 Comfortable working with large datasets and drawing actionable insights.
 </li>
 <li>
 Detail-oriented, with a problem-solving mindset and a proactive attitude.
 </li>
 <li>
 Preferred Skills Exposure to SuperSet, GA4, NoSQL, CAC, LTV Jira, Confluence
 </li>
 <li>
 Understanding of business metrics in the mobility, logistics, or SaaS industry is a plus.
 </li>
 <li>
 Ability to work in a fast-paced startup environment.
 </li>
 <li>
 Understanding and experience of data pipelines / ETL concepts is preferred.
 </li>
 </ul>
</div>

Junior Data Analyst

Daman Investments

<div>
 
 
 JOB OVERVIEW
 
 
 
 
 The Junior HR Data Analyst supports the Head of HR and the wider HR team by collecting, organizing, and analyzing people data across the Group's entities and businesses.. The role focuses on producing accurate, timely, and insightful reporting on headcount, workforce composition, attrition, performance, and compensation, and contributes to the development of dashboards and analyses that inform workforce planning, organizational design, talent decisions, and executive and board-level people reporting.
 
 
 
 
 
 
 
 
 
 
 KEY DUTIES &amp; RESPONSIBILITIE
 
 
 S
 
 
 
 
 
 
 
 
 Data Management &amp; Qualit
 
 
 
 y
 
 <ul>
 <li>
 Extract, consolidate, and maintain people data from the Group's HRIS and other source systems, ensuring data integrity, consistency, and confidentiality.
 </li>
 <li>
 Monitor and improve the quality of HR data, identifying gaps, duplicates, and inconsistencies, and coordinating with HR business partners to resolve them.
 </li>
 <li>
 Maintain organized data repositories and naming conventions to support efficient retrieval and analysis.
 </li>
 <li>
 Support the implementation and ongoing maintenance of HR data structures, taxonomies, and master data (e.g. job codes, grades, cost centers).
 </li>
 </ul>
 
 
 
 
 
 
 
 Reporting &amp; Dashboards
 
 
 
 
 <ul>
 <li>
 Prepare monthly, quarterly, and ad-hoc HR reports covering headcount, joiners and leavers, attrition, demographics, nationalization, and other key people metrics.
 </li>
 <li>
 Build and maintain HR dashboards using tools such as Microsoft Excel and Power BI to provide self-service visibility for HR business partners and business leaders.
 </li>
 <li>
 Support the production of executive and board-level people reporting packs, ensuring accuracy, clarity, and consistency of figures.
 </li>
 <li>
 Maintain HR scorecards and KPI trackers and highlight variances and trends for management attention.
 </li>
 </ul>
 
 
 
 
 
 
 
 People Analytics
 
 
 
 
 <ul>
 <li>
 Conduct analysis on headcount movements, attrition drivers, span of control, organizational structures, and workforce composition across the Group.
 </li>
 <li>
 Support compensation analytics, including pay band analyses, salary benchmarking inputs, bonus distribution, and comp-ratio tracking.
 </li>
 <li>
 Provide data support for performance management cycles, talent reviews, and succession planning analyses
 </li>
 <li>
 Compile and analyze engagement survey results and other people feedback data to identify themes and recommendations.
 </li>
 </ul>
 
 
 
 
 
 
 
 Project &amp; Process Support
 
 
 
 
 <ul>
 <li>
 Provide data analysis and modelling support to HR projects, including organizational design reviews, restructuring, job evaluations, and workforce planning.
 </li>
 <li>
 Support recruitment analytics, including time-to-hire, source effectiveness, and pipeline health metrics.
 </li>
 <li>
 Assist in preparing data inputs for HR policy reviews, audits, and regulatory or statutory reporting requirements.
 </li>
 <li>
 Contribute to the continuous improvement of HR reporting processes, templates, and analytical frameworks.
 </li>
 </ul>
 
 
 
 
 
 
 
 General
 
 
 
 
 <ul>
 <li>
 Handle all employee and people data with the highest level of confidentiality and in line with applicable data protection requirements.
 </li>
 <li>
 Uphold company values throughout business practices and utilizes sound judgment in decision making.
 </li>
 <li>
 Other additional duties may be required by management based on needs of the business.
 </li>
 </ul>
 
 
 
 
 
 POSITION REQUIREMENTS
 
 
 
 
 
 Educational Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Human Resources, Business Administration, Statistics, Economics, Data Analytics, or a related quantitative field from a recognized university.
 </li>
 <li>
 Additional certifications in HR analytics, Power BI, or data visualization are an advantage.
 </li>
 </ul>
 
 
 
 
 
 
 Technical Competencies
 
 
 
 <ul>
 <li>
 Advanced proficiency in Microsoft Excel, including pivot tables, lookups, conditional formatting, and complex formulas.
 </li>
 <li>
 Working knowledge of Power BI or a similar data visualization tool; ability to build clear, well-structured dashboards.
 </li>
 <li>
 Familiarity with HRIS platforms (e.g. SAP SuccessFactors, Oracle HCM, Workday, Bayzat, or similar) and comfort navigating large data exports.
 </li>
 <li>
 Basic understanding of core HR concepts including organization design, grading, compensation, performance management, and workforce planning.
 </li>
 <li>
 Exposure to SQL or scripting (e.g. Python, R) for data manipulation is an advantage but not essential.
 </li>
 </ul>
 
 
 
 
 
 
 Skills &amp; Personal Attributes
 
 
 
 <ul>
 <li>
 High attention to detail and a structured, methodical approach to working with data.
 </li>
 <li>
 Strong analytical and problem-solving mindset, with intellectual curiosity and a willingness to dig into the "why" behind the numbers
 </li>
 <li>
 Clear written and verbal communication skills, with the ability to translate data into simple, decision-ready insights.
 </li>
 <li>
 High level of integrity and discretion in handling confidential employee and compensation information.
 </li>
 <li>
 Proactive, organized, and able to manage multiple data requests and deadlines in parallel.
 </li>
 <li>
 Collaborative team player, comfortable working with HR business partners across multiple business units.
 </li>
 </ul>
 
 
 
 
 
 
 Work E
 
 
 
 xperience
 
 
 <ul>
 <li>
 0&ndash;2 years of relevant experience (fresh graduates are encouraged to apply; internships in HR, analytics, or consulting are an advantage.
 </li>
 <li>
 Any prior exposure to HRIS reporting, dashboard development, or people analytics is a plus.
 </li>
 <li>
 Prior experience working in a multi-entity or holding-group environment is desirable but not mandatory.
 </li>
 </ul>
</div>

Junior HR Data Analyst (Contract)

Explore 410+ Data analytics analyst in Dubai this July. Find roles across top companies and apply now to boost your career.

410 data analytics analyst jobs In Dubai

Data Analyst

Retail Data Analyst

Data Analyst

Data Scientist II - Analysis, QC

Data Analytics Trainer

Junior Data Analyst

Junior HR Data Analyst (Contract)