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business analyst (ai & data platforms) Jobs in Riyadh

business analyst (ai & data platforms)

bi analyst

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader"><b>BA/BI Consultant (Onshore)</b><br>
<b>Contractual Role - 4 Months</b></h2><h3 class="jobSectionHeader"><b>
Role Purpose</b></h3><p>
Act as the key interface between business stakeholders and the delivery team, leveraging strong finance domain expertise to gather requirements, define reporting logic, and translate business and financial needs into actionable BI solutions.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Conduct requirement gathering workshops with business and finance stakeholders (FP&amp;A, Accounting, Reporting teams).</li><li>
Document detailed business and financial requirements, including KPIs, metrics, and analytical use cases.</li><li>
Define financial data requirements, including ratios, measures, and reporting logic.</li><li>
Prepare comprehensive functional specifications for dashboards and financial reports.</li><li>
Define data mappings, business rules, and financial transformations for ETL processes.</li><li>
Collaborate with data engineering and BI teams to ensure accurate implementation of financial logic.</li><li>
Enable self-service BI and ad-hoc reporting capabilities with proper governance and access controls.</li><li>
Act as a bridge between onshore stakeholders and offshore delivery teams for clarifications and alignment.</li><li>
Support and coordinate <b>User Acceptance Testing (UAT)</b> with finance users, ensuring business validation and sign-off.</li><li>
Ensure consistency, accuracy, and integrity of financial data across reports.</li></ul><h3 class="jobSectionHeader"><b>
Required Skills &amp; Qualifications</b></h3><ul><li>
Strong experience in <b>Business Analysis</b> with deep expertise in the <b>Finance domain (FP&amp;A, Accounting, Financial Reporting)</b>.</li><li>
In-depth understanding of financial KPIs, ratios, and performance metrics.</li><li>
Proven experience in <b>Actual vs Budget vs Forecast</b>, variance analysis, and trend analysis.</li><li>
Solid knowledge of financial statements: <b>P&amp;L, Balance Sheet, and Cash Flow</b>.</li><li>
Understanding of <b>General Ledger (GL)</b> structures and financial data flows.</li><li>
Good knowledge of <b>data modelling, ETL processes, and financial data transformations</b>.</li><li>
Familiarity with <b>Oracle Analytics Cloud (OAC)</b> or similar BI/reporting tools.</li><li>
Excellent stakeholder management and communication skills, especially with senior finance stakeholders (e.g., CFO, FP&amp;A leadership).</li><li>
Ability to conduct workshops and translate complex financial concepts into clear BI requirements.</li></ul><h3 class="jobSectionHeader"><b>
Preferred Skills</b></h3><ul><li>
Experience in banking or financial services domain.</li><li>
Exposure to data warehousing concepts and BI architecture.</li><li>
Experience working in Agile/Scrum environments.</li></ul><h3 class="jobSectionHeader"><b>
Engagement Details</b></h3><ul><li><b>
Location:</b> Onshore</li><li><b>
Type:</b> Contract / Project-based (can be adjusted as per requirement)</li><li><b>
Stakeholders:</b> Finance Leadership, FP&amp;A Teams, Data &amp; BI Teams</li></ul><p>
</p><p>KfHiTal28t</p></div>

BA/BI Consultant

McKinsey & Company

<div>
 <strong>
  Who You'll Work With
  <br/>
  <br/>
 </strong>
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 <br/>
 <br/>
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 <br/>
 <br/>
 When you join us, you will have:
 <br/>
 <br/>
 <ul>
  <li>
   Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  </li>
  <li>
   A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  </li>
  <li>
   Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  </li>
  <li>
   World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 In the role of a Capabilities &amp; Insights Analytics Analyst, you will be part of our consulting teams with a focus on quantitative analyses and AI/ML approaches, continuously developing our portfolio of data-driven solutions and innovative approaches.
 <br/>
 <br/>
 You will work closely with our healthcare clients from various sectors such as public bodies, health insurance companies, or providers, utilizing your project management skills and communication with diverse stakeholders.
 <br/>
 <br/>
 As a Healthcare Analytics Analyst, you are expected to handle large datasets, particularly in analysis and modeling. Your daily tasks will include analyzing and modeling large data sets, as well as working closely with our Data Engineers in building and maintaining our proprietary platforms and solutions. You will develop dashboards and ML/AI models, utilizing both low-code/no-code tools and Python and visualization tools.
 <br/>
 <br/>
 In daily operations, you will collaborate closely with our Data Engineering colleagues, our Knowledge and Insights experts, and our consulting teams to prepare and execute client work. Besides serving clients as part of an engagement, you will be helping to build healthcare assets and knowledge, driving the firm&rsquo;s proprietary innovation portfolio.
 <br/>
 <br/>
 We offer challenging tasks in an exceptionally dedicated team with many opportunities for further growth and personal development.
 <br/>
 <br/>
 <strong>
  Your Qualifications and Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Successfully completed degree in computer or data analytics/science, ideally combined with biostatistics, bioinformatics or epidemiology
  </li>
  <li>
   3+ years of professional experience in a relevant field (e.g., as a Data Analyst/Scientist, BI, or consulting)
  </li>
  <li>
   Solid understanding and application of Programming in Python and/or R
  </li>
  <li>
   Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools (Tableau, Power BI, Plotly)
  </li>
  <li>
   Familiarity with SQL and data querying from relational databases or cloud-based environments
  </li>
  <li>
   Understanding of electronic health record structures, clinical terminologies (ICD, CPT, SNOMED) and health data standards such as HL7 and FHIR
  </li>
  <li>
   Excellent problem-solving skills, particularly in analytical and quantitative areas
  </li>
  <li>
   Strong entrepreneurial mindset with the motivation to continuously improve the status quo and drive this independently
  </li>
  <li>
   Willingness and ability to travel to client and McKinsey locations within and outside the country
  </li>
  <li>
   Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
  </li>
  <li>
   Excellent written and verbal communication skills in Arabic and English
  </li>
 </ul>
</div>


Capabilities & Insights Analytics Analyst - Healthcare

<div><div><div><div><div><div><div>Job ID: 98254</div></div></div></div><div></div><div><ul><div>
Riyadh</div></ul></div><div></div><div><div><div><br>
</div></div></div></div><div><p>
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You&rsquo;ve come to the right place.</p><div><p>
YOUR IMPACT</p><div><div><p>
In the role of a Capabilities &amp; Insights Analytics Analyst, you will be part of our consulting teams with a focus on quantitative analyses and AI/ML approaches, continuously developing our portfolio of data-driven solutions and innovative approaches.</p><p></p><p>
You will work closely with our healthcare clients from various sectors such as public bodies, health insurance companies, or providers, utilizing your project management skills and communication with diverse stakeholders.</p><p></p><p>
As a Healthcare Analytics Analyst, you are expected to handle large datasets, particularly in analysis and modeling. Your daily tasks will include analyzing and modeling large data sets, as well as working closely with our Data Engineers in building and maintaining our proprietary platforms and solutions. You will develop dashboards and ML/AI models, utilizing both low-code/no-code tools and Python and visualization tools.</p><p></p><p>
In daily operations, you will collaborate closely with our Data Engineering colleagues, our Knowledge and Insights experts, and our consulting teams to prepare and execute client work. Besides serving clients as part of an engagement, you will be helping to build healthcare assets and knowledge, driving the firm&rsquo;s proprietary innovation portfolio.</p><p></p><p>
We offer challenging tasks in an exceptionally dedicated team with many opportunities for further growth and personal development.</p></div></div></div><div><p>
YOUR GROWTH</p><div><p>
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.</p><p></p><p>
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.</p><p></p><p>
When you join us, you will have:</p><p></p><div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.</li></ul></div></div></div></div></div><div><div><div><p>
YOUR QUALIFICATIONS AND SKILLS</p><div><div><ul><p>
Successfully completed degree in computer or data analytics/science, ideally combined with biostatistics, bioinformatics or epidemiology</p><p>
3+ years of professional experience in a relevant field (e.g., as a Data Analyst/Scientist, BI, or consulting)</p><p>
Solid understanding and application of Programming in Python and/or R</p><p>
Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools (Tableau, Power BI, Plotly)</p><p>
Familiarity with SQL and data querying from relational databases or cloud-based environments</p><p>
Understanding of electronic health record structures, clinical terminologies (ICD, CPT, SNOMED) and health data standards such as HL7 and FHIR</p><p>
Excellent problem-solving skills, particularly in analytical and quantitative areas</p><p>
Strong entrepreneurial mindset with the motivation to continuously improve the status quo and drive this independently</p><p>
Willingness and ability to travel to client and McKinsey locations within and outside the country</p><p>
Ability to work collaboratively in a team environment and effectively with people at all levels in an organization</p><p>
Excellent written and verbal communication skills in Arabic and English</p></ul></div></div></div></div></div><div><div><div><div>
Please review the additional requirements regarding essential job functions of McKinsey colleagues.</div>
<div>Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.</div></div></div></div></div>

Muller's Solutions

<div><p>M&uuml;ller&rsquo;s Solutions is seeking a skilled Power BI Developer who is also fluent in Arabic to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying Power BI solutions that deliver impactful business insights. Your ability to communicate effectively in Arabic will facilitate collaboration with Arabic-speaking stakeholders and clients.</p>
Responsibilities:<ul>
<li>Develop and maintain robust Power BI reports and dashboards tailored to business requirements.</li>
<li>Collaborate with stakeholders, including Arabic-speaking clients, to gather requirements and translate them into technical solutions.</li>
<li>Optimize data models and ensure high performance of Power BI solutions.</li>
<li>Conduct data analysis to support decision-making processes and provide insights.</li>
<li>Ensure data quality, security, and governance standards are adhered to.</li>
<li>Provide support and training to users, including Arabic-speaking teams, to enhance their use of Power BI tools.</li>
<li>Stay up-to-date with the latest Power BI features and best practices to continually improve BI solutions.</li><br>
</ul><br>
<br>
<b>Requirements</b><br>
<ul>
<li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li>
<li>Proven experience as a Power BI Developer with a strong portfolio of Power BI projects.</li>
<li>Fluency in Arabic, both written and spoken, is essential for this role.</li>
<li>Strong proficiency in DAX, Power Query, and advanced Power BI functionalities.</li>
<li>Experience in data modeling, ETL processes, and SQL.</li>
<li>Ability to translate complex data into clear, actionable business insights.</li>
<li>Excellent communication and interpersonal skills for effective collaboration with bilingual teams and clients.</li>
<li>Knowledge of data governance, data quality, and security best practices.</li>
<li>Self-motivated with the ability to work independently and manage multiple projects.</li>
<li>Experience with other BI tools and analytics platforms is a plus.</li><br>
</ul><br>
<br>
<b>Benefits</b><p><br>
Why Join Us:</p><p></p><p>
Opportunity to work with a talented and passionate team.</p><p>
Competitive salary and benefits package.</p><p>
Exciting projects and innovative work environment.</p></div>

Power BI Developer/Arabic Speaker

Gathern

<div><p><b>Job Purpose:</b></p><p>
The Business Intelligence Manager owns the company&rsquo;s Business Intelligence function and is accountable for turning data into trusted insights that drive strategic and operational decisions. This role leads the activation of BI across the organization, focusing on correlation, causation, forecasting, and storytelling.The role also leads applied AI and machine learning initiatives, managing ML engineers to build, deploy, and operate production-grade, business-driven models, with clear ownership of applied MLOps practices to ensure reliability, scalability, and trust.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li>
 Lead the BI team in planning, developing, and delivering high-impact dashboards, reports, and analytics solutions</li><li>
 Business Intelligence Leadership</li></ul><ul><li>
Own the end-to-end Business Intelligence strategy and execution</li><li>
Establish BI as a core decision-support capability across the company</li><li>
Define and govern KPIs, metrics, and analytical standards</li><li>
Ensure insights consistently explain what happened, why it happened, and what to do next</li><li>
Lead executive and operational reporting and insight narratives</li></ul>
Analytics, Forecasting &amp; Insights<ul><li>
Oversee trend analysis, root-cause analysis, and correlation studies</li><li>
Drive forecasting, projections, and scenario analysis for planning and expectation-setting</li><li>
Ensure analytical outputs are explainable, assumption-driven, and decision-ready</li></ul><p>
Applied AI and Machine Learning Leadership</p><ul><li>
Lead and mentor ML engineers to design, build, and deploy applied machine learning models</li><li>
Own the applied ML and MLOps roadmap, aligned with BI and business priorities</li><li>
Guide the development of models such as:</li><li><ul><li>
Recommendation and pattern discovery models</li><li>
Anomaly detection</li></ul></li><li>
Define and enforce MLOps standards, including:</li><li>
Model versioning and lifecycle management</li><li>
Deployment and rollback strategies</li><li>
Monitoring model performance, drift, and data quality</li><li>
Retraining and validation processes</li><li>
Ensure ML models are:</li><li>
Business-driven and use-case oriented</li><li>
Explainable and interpretable</li><li>
Observable and maintainable in production</li><li>
Cross-Functional Leadership</li><li>
Act as the intelligence partner for Product, Finance, Operations, and Engineering</li><li>
Work closely with Data Engineering, Backend Engineering, and Platform teams to operationalize insights and ML models</li></ul>
Technical &amp; Analytical Requirements<ul><li>
Strong understanding of Business Intelligence and analytics practices</li><li>
Hands-on experience with BI tools (Power BI preferred)</li><li>
Strong analytical foundation, including:</li><li><ul><li>
Correlation vs causation</li><li>
Forecasting and scenario modeling</li><li>
Root-cause analysis</li></ul></li><li>
Solid understanding of data warehousing concepts (BigQuery preferred)</li><li>
Working knowledge of applied machine learning, including:</li><li><ul><li>
Supervised and unsupervised learning approaches</li><li>
Feature engineering and model evaluation</li><li>
Model explainability techniques</li></ul></li><li>
Working knowledge of MLOps concepts, including:</li><li><ul><li>
Model deployment and lifecycle management</li><li>
Monitoring for performance degradation and data drift</li><li>
Retraining strategies and validation workflows</li><li>
Collaboration with engineering teams on CI/CD and production readiness</li></ul></li><li>
Ability to guide ML engineers on both modeling and operationalization, without acting as a research data scientist</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field..</li><li>
5+ years of experience in business intelligence, data analytics, or data management.</li><li>
Applied ML models are deployed, monitored, and reliably operated in production</li><li>
MLOps practices ensure models remain accurate, observable, and trusted over time</li><li>
ML outputs are explainable and confidently used by business stakeholders</li><li>
BI remains the starting point for decisions, with ML and MLOps extending insight into action</li></ul></div>

BI Manager

HungerStation | هنقرستيشن

<div>
 <p>
  <strong>
   Key Accountability Areas
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   BI, Data Visualization &amp; AI-based Automations
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and maintain scalable dashboards and automated reporting pipelines covering fleet performance, delivery speed, order stacking, cost per delivery, and rider utilization
  </li>
  <li>
   Own the end-to-end data lifecycle: from raw data extraction (SQL, BigQuery) through to business-ready visualizations (Tableau, Looker, Data Studio)
  </li>
  <li>
   Automate recurring logistics reports to reduce manual data pulling and free leadership time for decision-making
  </li>
  <li>
   Develop predictive models and forecasting tools for demand planning, supply crunch detection, and staffing efficiency
  </li>
  <li>
   Translate complex, large-scale datasets into clear, actionable recommendations for logistics and operations stakeholders
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Logistics Optimization and Utilization
  </strong>
 </p>
 <ul>
  <li>
   Reduce delivery time across all stages: from order dispatch through to delivery, by identifying bottlenecks across the multiple DT sub-metrics
  </li>
  <li>
   Collaborate with dispatching and algorithm teams to enhance order assignment logic and improve on-time delivery rates
  </li>
  <li>
   Monitor and improve order stacking efficiency without compromising delivery SLAs
  </li>
  <li>
   Track NPS and customer experience metrics tied to logistics performance, identifying drivers of dissatisfaction
  </li>
  <li>
   Own analysis of logistics failures across vendor operations, rider operations, and customer touchpoints; recommend and execute fixes
  </li>
  <li>
   Collaborate with workforce planning to optimise shift models, staffing levels, and on-demand-to-shift model transitions
  </li>
  <li>
   Identify demand patterns and partner with growth and marketing teams to improve forecasting accuracy
  </li>
  <li>
   Support rider hiring, onboarding, and payment process analysis to reduce attrition and improve supply reliability
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Product Operations &ndash; Local &amp; Global Rollouts
  </strong>
 </p>
 <ul>
  <li>
   Act as the logistics liaison between local business stakeholders, local operations teams, and global product teams
  </li>
  <li>
   Gather operational pain points, feature requests, and platform feedback; translate these into structured business cases for product prioritisation
  </li>
  <li>
   Lead go-to-market (GTM) execution for new logistics initiatives: coordinating timelines, stakeholders, training materials, and deployment playbooks.
  </li>
  <li>
   Support rollout and adoption of tools, ensuring operational readiness and post-launch performance tracking
  </li>
  <li>
   Track rollout KPIs, adoption rates, and feedback loops, and present findings to product and logistics leadership
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Logistics Issue Resolution &amp; Stakeholder Support
  </strong>
 </p>
 <ul>
  <li>
   Serve as the first escalation point for logistics issues: diagnosing root causes, mobilizing fixes, and communicating resolution timelines.
  </li>
  <li>
   Manage performance during high-demand periods, including holidays, national days, and weekends, with proactive monitoring frameworks.
  </li>
  <li>
   Coordinate with central/regional logistics and product teams (e.g. Delivery Hero central) to implement platform-wide improvements locally.
  </li>
  <li>
   Minimize wastage per order through operational audits and targeted efficiency initiatives.
  </li>
  <li>
   Provide training, change management support, and communications for stakeholder transitions tied to new logistics models or tools
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   QUALIFICATIONS/REQUIREMENTS
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Knowledge and Experience
  </strong>
 </p>
 <ul>
  <li>
   5&ndash;8 years of experience in logistics analytics, operations, product operations, or a related field, preferably within food delivery, quick commerce, or a high-growth tech platform.
  </li>
  <li>
   Proven track record in at least two of: BI/analytics delivery, logistics optimization, and product rollout execution.
  </li>
  <li>
   Experience working in multi-market or global organizations with cross-functional, matrixed team structures.
  </li>
  <li>
   Exposure to rider/fleet operations, last-mile delivery dynamics, and demand-supply management is strongly preferred
  </li>
  <li>
   Exposure to A/B testing frameworks and statistical significance analysis in an operational context.
  </li>
  <li>
   Advanced SQL proficiency, can write complex queries from scratch and independently pull your own data.
  </li>
  <li>
   Strong experience with data visualization platforms: Tableau, Looker, Google Data Studio, or equivalent.
  </li>
  <li>
   Comfortable with Python or R for automation, modeling, or data transformation.
  </li>
  <li>
   Familiarity with project management and collaboration tools: Jira, Confluence, Notion, Asana
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education and Certifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree in Engineering, Supply Chain, Operations Management, Data Science, Computer Science, or a related quantitative field.
  </li>
  <li>
   Master's degree in a relevant field is a plus
  </li>
 </ul>
</div>


Logistics Optimization Manager

FeedBack Market Research

<p><b>Key Responsibilities</b></p><ul><li><b>Data Collection:</b> Gather data from primary (surveys, interviews) and secondary sources (reports, databases, publications).</li><li><b>Data Analysis:</b> Use statistical tools and software (e.g., Excel, SQL, Python) to analyze trends and patterns.</li><li><b>Market &amp; Industry Research:</b> Study market conditions, competitors, and consumer behavior.</li><li><b>Report Writing:</b> Prepare detailed reports, presentations, and dashboards summarizing findings.</li><li><b>Forecasting:</b> Predict trends and outcomes based on historical data.</li><li><b>Client/Stakeholder Support:</b> Provide insights to support business strategies and decision-making.</li><li><b>Quality Assurance:</b> Ensure accuracy, reliability, and validity of data.</li></ul><p><b>Required Skills</b></p><ul><li>Strong <b>analytical and critical thinking</b></li><li>Proficiency in tools like <b>Microsoft Excel, Power BI, Tableau</b></li><li>Knowledge of <b>statistics and data modeling</b></li><li>Excellent <b>written and verbal communication</b></li><li>Attention to detail</li><li>Problem-solving mindset</li></ul><p><b>Educational Requirements</b></p><ul><li>Bachelor&rsquo;s degree in:</li><li>Economics</li><li>Business Administration</li><li>Finance</li><li>Statistics</li><li>Data Science</li><li>A master&rsquo;s degree (optional but beneficial) like MBA or MSc in Analytics</li></ul><p><b>Common Types of Research Analysts</b></p><ul><li><b>Market Research Analyst</b> &ndash; focuses on consumer behavior and market trends</li><li><b>Financial Research Analyst</b> &ndash; analyzes stocks, bonds, and investments</li><li><b>Data/Quantitative Analyst</b> &ndash; focuses heavily on data modeling and programming</li><li><b>Policy Research Analyst</b> &ndash; works with governments or think tanks</li></ul><p><b>Typical Work Environment</b></p><ul><li>Corporate offices</li><li>Consulting firms</li><li>Financial institutions</li><li>Government agencies</li><li>Remote/Hybrid roles are increasingly common</li></ul><p>Job Type: Full-time</p><p>Location:</p><ul><li>Riyadh (Required)</li></ul><p>Work Location: In person</p>

Research Analyst

Explore 131+ Bi analyst in Riyadh this April. Find roles across top companies and apply now to boost your career.

131 bi analyst jobs In Riyadh

BA/BI Consultant

Capabilities & Insights Analytics Analyst - Healthcare

Capabilities & Insights Analytics Analyst - Healthcare

Power BI Developer/Arabic Speaker

BI Manager

Logistics Optimization Manager

Research Analyst