digital data analyst

Al-Futtaim

A leading retail group in Dubai is seeking a Business Intelligence Analyst for their Digital Retail team. The ideal candidate will have strong analytical skills and work on creating dashboards, automating reporting processes, and deriving insights from data to enhance strategies and performance. Proficiency in SQL, Power BI, and Python is required, along with 3 to 5 years of experience in the field.

Digital Retail BI Analyst: Data-Driven Growth

Halian | Managed Services, Recruitment Agency & Contract Staffing

<div>
 A global technology solutions provider specializing in data-driven insights and digital transformation is seeking a
 
 Data Analyst
 
 with 5+ years of experience. This role is on-site and full-time. The ideal candidate will transform complex data into actionable insights, owning requirements gathering, data exploration, Power BI modeling, and automation using Python, with strong SQL skills at the core. Exposure to Snowflake and Azure is a plus.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Stakeholder Analytics: Translate business questions into metrics, analyses, and clear recommendations; manage intake, scope, and delivery timelines.
 </li>
 <li>
 Reporting &amp; BI: Build and maintain Power BI models (star schema), DAX measures, Power Query transformations; implement Row level security, refresh schedules
 </li>
 <li>
 Analysis &amp; Storytelling: Analyse patterns and changes, find what&rsquo;s causing them, and explain the results clearly with easy-to-read charts.
 </li>
 <li>
 SQL &amp; Data Prep: Write optimized SQL (CTEs, window functions) to extract, shape, and validate data from DW/lake and operational systems.
 </li>
 <li>
 Automation: Use Python (pandas, NumPy) to automate recurring analysis and data quality checks; package re-usable notebooks/scripts.
 </li>
 <li>
 Excel Power User: Pivot tables, advanced formulas (INDEX/XMATCH), Power Query; quick ad-hoc analysis and reconciliation.
 </li>
 <li>
 Data Quality &amp; Governance: Define KPIs, document logic/lineage, build QA checks, and ensure consistency across reports.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 5+ years in analytics/BI roles delivering business-facing insights and dashboards.
 </li>
 <li>
 Strong SQL across large datasets; comfort with performance tuning and data validation.
 </li>
 <li>
 Proficiency in Power BI (data modelling, DAX, Power Query) and Excel (advanced).
 </li>
 <li>
 Working Python for data manipulation/automation (pandas, NumPy).
 </li>
 <li>
 Solid business communication&mdash; problem framing, solution recommendations, concise insights, and decision influence.
 </li>
 <li>
 Bachelor&rsquo;s in Data/Computer Science, Statistics, Engineering, Business Analytics, or related field.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Exposure to Snowflake
 </li>
 <li>
 Knowledge of Azure data services-especially Azure Data Lake (plus ADF/Databricks familiarity).
 </li>
 <li>
 Power BI Service admin basics (gateways, workspace governance, refresh troubleshooting).
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 Analytical rigor &amp; problem solving
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 <li>
 Data storytelling &amp; visualization craft
 </li>
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 Ownership, prioritization, and delivery focus
 </li>
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 Stakeholder management &amp; expectation setting
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 Quality mindset (testing, documentation, reproducibility)
 
 
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 </ul>
 
 Success Metrics (KPIs)
 
 
 
 <ul>
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 On-time delivery of analytics with agreed acceptance criteria
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 Accuracy/consistency of KPIs vs. source systems
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 Adoption/usage of dashboards; stakeholder satisfaction
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 Reduction of manual effort via automation/re-usable assets
 </li>
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 Measurable impact on business outcomes (e.g., revenue lift, cost savings, SLA improvements)
 
 
 </li>
 </ul>
 
 Tools &amp; Environment
 
 
 
 Power BI (Desktop/Service), SQL (Snowflake/SQL Server/Postgres), Excel, Python, Azure Data Lake/ADF (exposure), SharePoint/Teams.
 
 
 
 Halian Group:
 
 
 
 With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers.
 
 
 Our resourcing and smart services help you to realize tomorrow&rsquo;s potential. Discover the amazing things possible when you bring the right people and the right technologies together.
 
 
 At Halian, we recognize that diversity, equity, and inclusion (DEI) are essential to building high-performing teams for our clients. We are committed to connecting organizations with top talent from all backgrounds, ensuring that every individual feels valued, respected, and empowered to contribute their unique perspectives. We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique. By fostering diverse and inclusive workplaces, we help our clients drive innovation, enhance collaboration, and better reflect the communities they serve.
 
 
 Data Analyst in Dubai, United Arab Emirates
 
 
</div>

Data Analyst (m/f/d)

Charterhouse Middle East

<div>
 
 
 AED 15,000 - 20,000 Per Month
 
 
 
 
 
 
 Charterhouse is working on behalf of a pioneering research and innovation hub that is redefining education. This organization integrates nature, culture, inquiry, and innovation to create transformative learning environments. Its dedicated research arm focuses on designing, prototyping, and evaluating new educational approaches, using data-driven insights to shape the future of learning. Our client is looking to hire a Data Analyst, which will play a critical role in generating real-time insights into learner growth, pilot projects, and system impact.
 
 
 
 
 
 The Data Analyst designs and manages data systems, analyze research outcomes, and produce evidence-based reports that inform strategic decisions.
 
 
 Working as a Data Analyst, the role involves developing and maintaining data frameworks, tools, and dashboards for research and pilot projects while ensuring accurate, timely, and ethical collection and management of quantitative and qualitative data. Responsibilities includes conducting statistical analysis, identifying patterns, and translating findings into actionable insights. The role will also prepare clear visualizations and reports for leadership, internal teams, and stakeholders. Collaboration with educators, researchers, and external partners will be essential to integrate data into innovation processes. The role will further support evaluation of pilot projects, including baseline measures and impact assessments, while staying current with best practices in educational data analytics and learning sciences.
 
 
 
 
 
 The ideal Data Analyst will hold a Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Education, Psychology, or a related field. The candidate should have two to four years of experience in data analysis, preferably within education, social sciences, or innovation sectors. Strong proficiency in data analysis tools such as Excel, R, Python, or SPSS is required, along with experience using dashboard and visualization tools like Tableau or Power BI. Demonstrating the ability to communicate complex data insights to non-technical audiences and possess knowledge of ethical data collection and safeguarding practices are essential for the role.
 
 
 Our client requires an analytical and creative thinker with strong critical reasoning skills. Excellent communication and collaboration abilities are essential, as is adaptability to evolving questions and iterative projects. Integrity and commitment to ethical data practices are fundamental to this role.
 
 
 This position is ideal for someone who sees data not just as numbers, but as a powerful storytelling tool to drive innovation.
 
</div>

Data Analyst

One Click Solution

OneClick is looking for a driven and analytical Data Analyst with a strong focus on predictive modeling, forecasting, and applied machine learning.Location: Main Shahra-e-Faisal, KarachiShift Timing: Morning (10:00 am &ndash; 6:00 pm)Key Responsibilities:<ul><li>Analyze large, complex datasets using Python to uncover trends, patterns, and actionable insights.</li><li>Build, validate, and deploy predictive models and forecasting solutions to support data-driven decision-making.</li><li>Apply machine learning techniques (regression, classification, time-series forecasting, etc.) to solve business problems.</li><li>Automate data analysis workflows and modeling pipelines to improve efficiency and scalability.</li><li>Develop Power BI dashboards to communicate model-driven insights and forecasts to stakeholders (dashboarding is secondary to modeling).</li><li>Ensure data accuracy, integrity, and consistency across all analyses and reporting outputs.</li><li>Collaborate with cross-functional teams to translate business requirements into analytical solutions.</li></ul>Qualification and Requirement:<ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, or a related field.</li><li>1&ndash;2 years of proven experience as a Data Analyst, Machine Learning Analyst, or similar role.</li><li>Strong proficiency in Python for data analysis, predictive modeling, and machine learning.</li><li>Hands-on experience with forecasting and predictive analytics techniques.</li><li>Experience using Power BI to visualize and present insights derived from analytical models.</li><li>Familiarity with automating data pipelines and analytical workflows is a plus.</li><li>Strong problem-solving skills with the ability to communicate complex insights clearly.</li></ul>Job Type: Full-timeWork Location: In person

Lifeshare Network

<div>Are you a seasoned Data Analyst looking for a new challenge in the healthcare industry? LifeShare is seeking a skilled individual to join our team as a Data Analyst and play a key role in advancing our mission of saving lives. Reporting directly to the Director of Data &amp; Analytics, you'll utilize your advanced expertise to drive data-driven decision-making and optimize our operations to enhance patient outcomes. This position requires in office work in Oklahoma weekly.
Position Overview: As a Data Analyst at LifeShare, you'll lead the charge in conducting full lifecycle analysis to support core organizational functions and business processes. Leveraging your experience and knowledge, you'll combine analytics skills with an in-depth understanding of organ and tissue donation processes and healthcare data to inform and drive the ongoing transformation. Your insights and analyses will be instrumental in driving down costs, improving quality, and enhancing the overall organ procurement/transplant process.
Essential Job Functions:
As a Data Analyst, you'll be responsible for:<ul><li>
Designing and developing data models and visualizations.</li><li>
Collaborating closely with stakeholders to deeply understand business needs and provide actionable insights.</li><li>
Ensuring data quality and accuracy through rigorous analysis and validation processes.</li><li>
Conducting ad-hoc analysis and providing ongoing support for specific project work.</li><li>
Leading work groups and committees to facilitate collaboration and drive strategic initiatives.</li><li>
Evaluating, writing, and presenting operational data and reporting, providing recommendations based on relevant findings.</li><li>
Providing project management support as needed to ensure successful implementation of data-driven initiatives.</li><li>
Must be in office weekly in Oklahoma City, this is not a remote role.</li></ul>
We're seeking a candidate with the following qualifications:<ul><li>
Bachelor&rsquo;s degree in computer science, data science, or a relevant healthcare field.</li><li>
Strong verbal and written communication skills, with the ability to present complex technical concepts to diverse audiences.</li><li>
Proficient in SQL, Power BI, and possessing advanced Excel skills.</li><li>
Expertise in healthcare electronic medical record data.</li><li>
2+ years of experience in data analysis and visualization, and in developing key metrics, performance indicators (KPIs) and advanced reporting to support decision-making.</li><li>
Experience with ELT tools and processes to manage and streamline the movement of data across systems, and knowledge of data warehousing concepts.</li><li>
Ability to perform and present complex research and analyses for different stakeholders and decision-makers.</li><li>
Statistical analysis and predictive modeling experience a plus</li></ul></div>

Saatva

<div><h2 class="jobSectionHeader">Company Description</h2>

Saatva is the original direct-to-consumer mattress and home furnishings company, dedicated to providing healthy and restorative sleep. As the largest online luxury mattress brand, we are expanding our physical presence with Viewing Rooms in key markets nationwide. Our rapid growth is driven by a people-first culture that values curiosity, collaboration, and data-informed decision-making. Saatva has been recognized on the Inc. 5000 list of America's Fastest-Growing Private Companies for seven consecutive years, certified as a Great Place to Work&reg;, and listed among Fortune Magazine's Best Workplaces in Retail and Best Workplaces in New York. 

<h2 class="jobSectionHeader">
Role Description</h2>

Saatva is seeking a highly curious and business-oriented Data Analyst to support our evolving direct-to-consumer omnichannel strategy. As Saatva continues to expand beyond digital into **offline channels&mdash;including phone sales and Viewing Rooms&mdash;**this role will play a critical part in helping the business understand performance across the full customer journey and use data to guide growth decisions.

This position is ideal for an analyst who enjoys working with complex datasets, partnering closely with cross-functional teams, and translating data into insights that shape go-to-market strategy, real estate expansion, customer retention, and operational efficiency. You will help enable stakeholders with scalable reporting and automation while contributing to a strong foundation of data quality and analytical rigor. 

<h2 class="jobSectionHeader">
What You'll Do</h2>
<h4 class="jobSectionHeader">Omnichannel &amp; Business Analysis</h4>
<ul>
<li>Analyze performance across digital and offline channels (eCommerce, phone, Viewing Rooms) to understand customer behavior and revenue drivers.
</li>
<li>Evaluate cross-channel interactions to identify opportunities to improve acquisition, conversion, and retention.
</li>
<li>Partner with Marketing, Product, Sales, and Real Estate to inform go-to-market strategy, customer segmentation, and lifecycle initiatives.
</li>
</ul><h4 class="jobSectionHeader">Data Analysis &amp; Modeling</h4>
<ul>
<li>Analyze large, complex datasets to uncover trends and insights that drive business decisions.
</li>
<li>Apply statistical techniques to support forecasting for demand, revenue, customer lifetime value, and churn.
</li>
</ul><h4 class="jobSectionHeader">Reporting, Visualization &amp; Enablement</h4>
<ul>
<li>Build and maintain dashboards and reports that enable self-service insights for stakeholders.
</li>
<li>Monitor KPIs, flag performance shifts, and recommend actions.
</li>
<li>Automate recurring reporting and analytical workflows to improve scalability and efficiency.</li></ul> 

<h2 class="jobSectionHeader">What We're Looking For</h2>
<h4 class="jobSectionHeader">Required Qualifications</h4>
<ul>
<li>3&ndash;5+ years of experience as a Data Analyst in a direct-to-consumer, eCommerce, retail, or omnichannel environment.
</li>
<li>Strong proficiency in SQL and experience working with large, complex datasets.
</li>
<li>Experience building dashboards and reports using data visualization tools such as Tableau, Power BI, or Looker.
</li>
<li>Solid analytical foundation, including experience with statistical analysis and trend identification.
</li>
<li>Strong communication skills with the ability to translate data into clear, business-relevant insights.
</li>
<li>Proven ability to manage multiple projects, prioritize effectively, and deliver high-quality work in a fast-paced environment.
</li>
</ul><h4 class="jobSectionHeader">Preferred Qualifications</h4>
<ul>
<li>Experience with Python or R for advanced analysis or automation.
</li>
<li>Strong proficiency in Google Analytics or Adobe Analytics.
</li>
<li>Familiarity with cloud data warehouses and modern analytics stacks.
</li>
<li>Exposure to forecasting, predictive modeling, or experimentation frameworks.
</li>
<li>Experience supporting offline channels such as retail, call centers, or physical locations.</li></ul> 

<h2 class="jobSectionHeader">Equal Employment Opportunity</h2>

At Whitestone Home Furnishings, LLC, we are committed to a culture of diversity and inclusiveness, as demonstrated through our recruitment, retention and employee development programs, and are committed to the hiring, retention and success of diverse candidates. We maintain an environment that respects and builds on the assets and talents of each person, valuing their differences. As an equal opportunity employer, we do not discriminate against qualified job applicants on the basis of race, color, religion, creed, national origin or ancestry, ethnicity, sex, gender (including gender nonconformity, status as a transgender or transsexual individual, and gender identity or expression), sexual and reproductive health decisions, age, physical or mental disability, citizenship, military status (including past, current, or prospective service in the uniformed services), genetic information, predisposing genetic characteristics, marital status, partnership status, sexual orientation, caregiver status, or any other status or condition protected by applicable law. This policy extends to all aspects of the employment hiring process, including but not limited to, recruitment, selection, compensation, and benefits. 


Sounds like a good fit? We'd love to talk to you! 


Equal Employment Opportunity:

At Whitestone Home Furnishings, LLC, we are committed to a culture of diversity and inclusiveness, as demonstrated through our recruitment, retention and employee development programs, and are committed to the hiring, retention and success of diverse candidates. We maintain an environment that respects and builds on the assets and talents of each person, valuing their differences. As an equal opportunity employer, we do not discriminate against qualified job applicants on the basis of race, color, religion, creed, national origin or ancestry, ethnicity, sex, gender (including gender nonconformity, status as a transgender or transsexual individual, and gender identity or expression), sexual and reproductive health decisions, age, physical or mental disability, citizenship, military status (including past, current, or prospective service in the uniformed services), genetic information, predisposing genetic characteristics, marital status, partnership status, sexual orientation, caregiver status, or any other status or condition protected by applicable law. This policy extends to all aspects of the employment hiring process, including but not limited to, recruitment, selection, compensation, and benefits.</div>

Data Analyst – Omnichannel & Offline Growth

Infina Health

Data Analyst &ndash; Remote &amp; USInfina Health is seeking an experienced Data Analyst to join our team. As a vital member of our finance department, you will be responsible for providing safe and efficient transportation services.Responsibilities<ul><li>Analyze company data to extract actionable insights.</li><li>Identify trends, patterns, and anomalies in datasets.</li><li>Develop and maintain data models and dashboards for reporting.</li><li>Collaborate with teams to understand data requirements and objectives.</li><li>Interpret and communicate findings to stakeholders.</li></ul>Job Requirements<ul><li>Proficiency in data analysis tools such as Excel, SQL, and Python/R.</li><li>Experience with data visualization tools like Tableau or Power BI.</li><li>Strong analytical and problem-solving skills.</li><li>Ability to work with large datasets and perform statistical analysis.</li><li>Excellent communication and presentation skills.</li><li>Attention to detail and accuracy in data analysis.</li><li>Bachelor's degree in with minors in related field (e.g., Statistics, Mathematics, Economics).</li></ul>License/Certification<ul><li>A Degree in Computer Science/Data Analytics</li><li>Expertise in Computer Languages and Code</li><li>Experience with Power BI</li></ul>Compensation and Benefits<ul><li>Competitive salary based on experience and qualifications.</li><li>Opportunities for professional development and growth within the company.</li><li>The change to work remotely with highly talented individuals for career growth and advancement</li><li>International exposure to cutting-edge work experience</li></ul>Timings requirement<ul><li>This position is overnight (6PM to 3AM PST FULL TIME). Can you work those hours responsibly?</li></ul>Experience Required<ul><li>3 to 5 years</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs110,000.00 per monthWork Location: Remote

Data Analyst – Remote & US

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Data Analyst – Omnichannel & Offline Growth

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