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Seize | Institute of Consulting and Business Solutions

<div>
 <strong>
  About SEIZE
  <br/>
  <br/>
 </strong>
 SEIZE (Institute of Consulting &amp; Business Solutions) is a semi-government organization based in Riyadh, dedicated to advancing institutional performance across government, private, and non-profit sectors. Through strategic partnerships, consulting services, and specialized subsidiaries, SEIZE supports Saudi Vision 2030 by delivering innovative business, digital, and project management solutions.
 <br/>
 <br/>
 <strong>
  Role Purpose
  <br/>
  <br/>
 </strong>
 The Data Analyst will be responsible for collecting, analyzing, and interpreting data to provide actionable insights that support business decision-making. The role requires strong analytical skills, proficiency with data tools, and the ability to present complex information in a clear and concise manner. With 3 years of experience, the analyst is expected to work independently on medium-complex projects and contribute to strategic initiatives.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Data Collection &amp; Management
  </li>
  <li>
   Gather, clean, and validate data from multiple sources (databases, ERP, CRM, etc.).
  </li>
  <li>
   Maintain and update dashboards, data models, and reporting systems.
  </li>
  <li>
   Ensure accuracy, integrity, and security of data.
  </li>
  <li>
   Data Analysis &amp; Insights
  </li>
  <li>
   Analyze structured and unstructured data to identify trends, patterns, and opportunities.
  </li>
  <li>
   Provide insights and recommendations to support strategic and operational decisions.
  </li>
  <li>
   Develop and track key performance indicators (KPIs).
  </li>
  <li>
   Perform ad-hoc analysis to address business queries.
  </li>
  <li>
   Reporting &amp; Visualization
  </li>
  <li>
   Create and maintain interactive dashboards and reports using tools like Power BI, Tableau, or Excel.
  </li>
  <li>
   Present findings to stakeholders in a clear and actionable manner.
  </li>
  <li>
   Automate repetitive reporting tasks to improve efficiency.
  </li>
  <li>
   Collaboration &amp; Stakeholder Engagement
  </li>
  <li>
   Work closely with cross-functional teams (Finance, HR, Operations, Marketing, etc.) to understand data needs.
  </li>
  <li>
   Translate business requirements into analytical solutions.
  </li>
  <li>
   Act as a point of contact for data-related queries and problem-solving.
  </li>
  <li>
   Continuous Improvement
  </li>
  <li>
   Identify opportunities to enhance data collection and reporting processes.
  </li>
  <li>
   Stay updated with latest data analysis tools, techniques, and best practices.
  </li>
  <li>
   Support implementation of data-driven strategies across departments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications &amp; Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Business Analytics, or related field.
  </li>
  <li>
   Minimum 3 years of experience as a Data Analyst or in a similar analytical role.
  </li>
  <li>
   Strong knowledge of SQL and experience working with relational databases.
  </li>
  <li>
   Proficiency in data visualization tools (Power BI, Tableau, or similar).
  </li>
  <li>
   Solid experience with Microsoft Excel (advanced functions, pivot tables, macros).
  </li>
  <li>
   Familiarity with Python or R for data analysis (preferred).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills &amp; Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong analytical and problem-solving skills.
  </li>
  <li>
   High attention to detail and accuracy.
  </li>
  <li>
   Ability to translate data into meaningful insights.
  </li>
  <li>
   Strong communication and presentation skills.
  </li>
  <li>
   Ability to manage multiple priorities and deadlines.
  </li>
  <li>
   Team-oriented with strong collaboration skills.
  </li>
 </ul>
</div>


Data Analyst

Salla

<div>
 We are looking for a Data Analyst to join our growing Data team. This role focuses on turning raw data into clear, accurate, and actionable insights that support decision-making across the company. You'll work closely with senior analysts, product managers, engineers, and business stakeholders to help ensure data is reliable, well-structured, and easy to understand.
 <br/>
 <br/>
 This is an excellent opportunity for someone early in their career to learn and grow in analytics while making a meaningful impact.
 <br/>
 <br/>
 <strong>
  <strong>
   Responsibilities:
  </strong>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collect, clean, and organize data from production, warehouse, and external sources to ensure accuracy and reliability.
  </li>
  <li>
   Develop and maintain data collection systems, pipelines, and processes that optimize efficiency and quality.
  </li>
  <li>
   Perform exploratory data analysis (EDA) to identify patterns, trends, and opportunities in complex datasets.
  </li>
  <li>
   Use BI tools to build and maintain dashboards, reports, and visualizations that support business needs and decision-making.
  </li>
  <li>
   Interpret data and provide actionable insights to stakeholders through reports, dashboards, and presentations.
  </li>
  <li>
   Monitor data quality, validate results, and support initiatives for data integrity and normalization.
  </li>
  <li>
   Document data sources, processes, and definitions to improve knowledge-sharing and consistency across the team.
  </li>
  <li>
   Collaborate with cross-functional stakeholders to gather requirements and deliver data solutions aligned with business priorities.
  </li>
  <li>
   Support testing, troubleshooting, and improvements of reporting systems and pipelines.
  </li>
  <li>
   Train end-users on new reports, dashboards, and data tools to enhance adoption and effectiveness.
  </li>
  <li>
   Work with senior team members and management to define metrics, track performance, and prioritize business and information needs.
  </li>
  <li>
   Identify and recommend process improvements and opportunities for better data-driven decision-making
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering, or related discipline).
  </li>
  <li>
   0-2 years of experience in data analysis or a related field (internships or academic projects count).
  </li>
  <li>
   Strong proficiency in SQL for querying and analyzing data.
  </li>
  <li>
   Familiarity with at least one BI/visualization tool (e.g., Tableau, Looker, Metabase).
  </li>
  <li>
   Good understanding of data cleaning techniques and basic statistical concepts.
  </li>
  <li>
   Strong analytical skills with high attention to detail and accuracy.
  </li>
  <li>
   Ability to communicate findings clearly through reports, dashboards, and presentations.
  </li>
  <li>
   Eagerness to learn and willingness to dive deep into data validation
  </li>
 </ul>
</div>


SALLA

<div><p>We are looking for a Data Analyst to join our growing Data team. This role focuses on turning raw data into clear, accurate, and actionable insights that support decision-making across the company. You&rsquo;ll work closely with senior analysts, product managers, engineers, and business stakeholders to help ensure data is reliable, well-structured, and easy to understand.</p><p></p><p>
This is an excellent opportunity for someone early in their career to learn and grow in analytics while making a meaningful impact.</p><h3 class="jobSectionHeader"><b>
</b><b>Responsibilities:</b><b>
</b></h3><ul><li>Collect, clean, and organize data from production, warehouse, and external sources to ensure accuracy and reliability.
</li><li>Develop and maintain data collection systems, pipelines, and processes that optimize efficiency and quality.
</li><li>Perform exploratory data analysis (EDA) to identify patterns, trends, and opportunities in complex datasets.
</li><li>Use BI tools to build and maintain dashboards, reports, and visualizations that support business needs and decision-making.
</li><li>Interpret data and provide actionable insights to stakeholders through reports, dashboards, and presentations.
</li><li>Monitor data quality, validate results, and support initiatives for data integrity and normalization.
</li><li>Document data sources, processes, and definitions to improve knowledge-sharing and consistency across the team.
</li><li>Collaborate with cross-functional stakeholders to gather requirements and deliver data solutions aligned with business priorities.
</li><li>Support testing, troubleshooting, and improvements of reporting systems and pipelines.
</li><li>Train end-users on new reports, dashboards, and data tools to enhance adoption and effectiveness.
</li><li>Work with senior team members and management to define metrics, track performance, and prioritize business and information needs.
</li><li>Identify and recommend process improvements and opportunities for better data-driven decision-making.</li></ul><p><br>
</p><p></p><p><b>Requirements</b></p><ul>
<li>Bachelor&rsquo;s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering, or related discipline).
</li><li>0&ndash;2 years of experience in data analysis or a related field (internships or academic projects count).
</li><li>Strong proficiency in SQL for querying and analyzing data.
</li><li>Familiarity with at least one BI/visualization tool (e.g., Tableau, Looker, Metabase).
</li><li>Good understanding of data cleaning techniques and basic statistical concepts.
</li><li>Strong analytical skills with high attention to detail and accuracy.
</li><li>Ability to communicate findings clearly through reports, dashboards, and presentations.
</li><li>Eagerness to learn and willingness to dive deep into data validation.</li></ul></div>

Trendyol

<div><div><div><b>About the Team</b></div><div>
At Trendyol Growth, we align pricing, discount, and marketing strategies to drive sustainable and scalable growth. We work cross-functionally with teams like Product, Category, and Operations to uncover opportunities and deliver impact. With a strong learning culture and data-driven mindset, we grow together &mdash; as individuals and as a team.</div><div></div><div><br>
The language data analyst will join Trendyol&rsquo;s Global Language Solutions team, with close collaboration with the Quality team. Based in Riyadh, the role provides in-market Arabic expertise to strengthen our automation, MT evaluation, and data pipelines. By combining linguistic knowledge and data analysis, the analyst ensures high-quality Arabic outputs and scalable automation across markets. The position plays a key role in safeguarding cultural relevance while enabling Trendyol&rsquo;s AI and MT systems to deliver reliable results.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><ul><li>
Monitor MT quality, corpus health, and workflow metrics for Arabic and other priority markets.</li><li>
Conduct linguistic and statistical analysis of large datasets to improve quality and coverage.</li><li>
Build dashboards and reports to track data health, error rates, and throughput.</li><li>
Collaborate with engineering and quality teams to validate MT/LLM outputs and suggest fixes.</li><li>
Provide linguistic input into prompts, pipelines, and automation frameworks.</li><li>
Analyze Arabic content for gaps in terminology, cultural relevance, or bias.</li><li>
Support scalability of global operations by enabling structured, data-backed interventions.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Expected Qualifications</b></h3><ul><li><ul><li>
Native Arabic speaker with strong command of English.</li><li>
Extensive experience in data analysis, computational linguistics, or NLP roles.</li><li>
Hands-on skills in SQL and Python (Pandas/NumPy); experience with visualization tools.</li><li>
Familiarity with MT/LLM outputs, corpus validation, and multilingual datasets.</li><li>
Strong problem-solving skills with the ability to link linguistic insights to data patterns.</li><li>
Comfortable working in cross-functional, international teams.</li><li>
Experience in e-commerce, tech, or language-quality data projects is a plus.</li></ul></li></ul></div></div>
<div><div><b>What We Offer</b></div><ul><li><b>Hybrid working model with flexibility:</b> a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.</li><li><b>Customisable FlexBenefits budget: </b>Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.</li><li><b>Well-being support: </b>Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision.</li><li><b>Personalised training allowance and learning opportunities: </b>Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.</li><li><b>Responsibility from day one: </b>Take full ownership from the start in a culture where every voice is heard and valued.</li><li><b>A diverse, international team: </b>Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.</li><li><b>Opportunities to grow with the best: </b>Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.</li><li><b>Meaningful connections beyond tasks:</b> Be part of team rituals, events, and social activities that help us stay connected and inspired.</li></ul><div></div><div><b><br>
Take the Next Step</b></div><div>
If this role excites you, apply today, we look forward to taking the next step with you.</div><div>
Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.</div></div></div>

Language Data Analyst

ترشيد | TARSHID

<div>
 <p>
  <strong>
   <u>
    About Tarshid:
   </u>
  </strong>
 </p>
 <p>
  Tarshid is the National Energy Services Company, established by the Public Investment Fund to catalyze the development of a more energy efficient Saudi Arabia. The launch of Tarshid is a result of a collaborative effort between the Ministry of Energy, Ministry of Finance and the Saudi Energy Efficiency Center. Tarshid aims to be a pioneer in the energy efficiency field and to build towards a more sustainable future. Tarshid has a mandate to develop, fund and manage impactful energy efficiency projects in government and commercial sectors that achieve significant energy savings for the Kingdom.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Job Summary:
   </u>
  </strong>
 </p>
 <p>
  The Data Analyst Lead will play a critical role in enabling Tarshid&rsquo;s business units to make data-driven decisions. In the short term, this role will focus on collecting, cleaning, consolidating, and analyzing data from multiple systems to provide reliable reporting and insights. In the medium to long term, the Data Analyst will actively contribute to the design, testing, and adoption of Tarshid&rsquo;s Data Lake and Business Intelligence platforms, enabling advanced analytics and AI-driven insights across the organization.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Main Responsibilities:
   </u>
  </strong>
 </p>
 <p>
  <strong>
   <em>
    Data Strategy &amp; Governance:
   </em>
  </strong>
 </p>
 <ul>
  <li>
   Align analytics priorities with business strategy and own the analytics roadmap.
  </li>
  <li>
   Enforce governance (standard metric definitions, data dictionary, access tiers).
  </li>
 </ul>
 <p>
  <strong>
   <em>
    Immediate (Pre&ndash;Data Lake):
   </em>
  </strong>
 </p>
 <ul>
  <li>
   Gather, validate, and consolidate data from multiple siloed systems and manual sources.
  </li>
  <li>
   Develop recurring and ad-hoc reports for Finance, Strategy, Shared Services, and Operations.
  </li>
  <li>
   Build dashboards and visualizations (Excel, Power BI) to track KPIs such as project progress, financial performance, and energy savings.
  </li>
  <li>
   Highlight trends, anomalies, and risks to support timely decision-making.
  </li>
 </ul>
 <p>
  <strong>
   <em>
    Transition (During Data Lake Implementation):
   </em>
  </strong>
 </p>
 <ul>
  <li>
   Support IT/Digital Transformation in defining data requirements, integration points, and reporting needs.
  </li>
  <li>
   Map existing manual reports to future automated dashboards.
  </li>
  <li>
   Identify data gaps, inconsistencies, and recommend data quality rules.
  </li>
  <li>
   Participate in testing and validation of migrated datasets and dashboards.
  </li>
 </ul>
 <p>
  <strong>
   <em>
    Future (Post&ndash;Data Lake):
   </em>
  </strong>
 </p>
 <ul>
  <li>
   Leverage centralized data to deliver predictive and prescriptive analytics.
  </li>
  <li>
   Enable AI/ML use cases (e.g., IoT smart meters, energy savings forecasting, operational optimization).
  </li>
  <li>
   Create scalable, automated dashboards for business self-service reporting.
  </li>
  <li>
   Partner with business stakeholders to translate strategic questions into data-driven insights.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Qualifications, Experience &amp; Skills :
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s in CS/Information Systems/Statistics/Math or related field.
  </li>
  <li>
   Preferred: DA-100/PL-300 (Power BI), Google Data Analytics, or equivalents.
  </li>
  <li>
   4+ years of experience in DA
  </li>
  <li>
   Proficiency level in English required, and fluency in Arabic is preferred.
  </li>
 </ul>
 <p>
  <strong>
   <em>
    Technical &amp; Process Expertise:
   </em>
  </strong>
 </p>
 <ul>
  <li>
   Business Analysis, Elicitation &amp; Collaboration
  </li>
  <li>
   Solution Performance Evaluation
  </li>
  <li>
   Market Intelligence &amp; Insight
  </li>
 </ul>
 <p>
  <strong>
   <em>
    Governance &amp; Oversight:
   </em>
  </strong>
 </p>
 <ul>
  <li>
   Proven track record in SLA monitoring, vendor governance, and performance management.
  </li>
  <li>
   Ability to design, implement, and enforce IT service management policies and processes.
  </li>
  <li>
   Experience with audits, compliance checks, and service reviews.
  </li>
 </ul>
 <p>
  <strong>
   <em>
    Soft Skills
   </em>
  </strong>
 </p>
 <ul>
  <li>
   Strong customer service orientation and user advocacy.
  </li>
  <li>
   Excellent communication and stakeholder management skills.
  </li>
  <li>
   Analytical mindset with the ability to identify root causes and implement improvements.
  </li>
  <li>
   Ability to manage priorities in a high-demand environment.
  </li>
 </ul>
</div>


Data Analyst Lead

TAWANTECH

<div><p>We are seeking a skilled <b>Data Analyst</b> to support enterprise data initiatives by ensuring the accuracy, quality, and usability of business-critical data. This role involves working closely with business and technical teams to analyze data requirements, identify insights, maintain data documentation, and contribute to data strategy and model development across the organization.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3><ul>
<li>Analyze complex data sets to extract actionable business insights.
</li><li>Collaborate with cross-functional teams to understand data requirements and support the development of data strategies.
</li><li>Ensure <b>data quality, reconciliation, and integrity</b> in alignment with governance standards.
</li><li>Perform <b>data profiling</b> and validation, resolving anomalies and inconsistencies.
</li><li>Analyze the <b>data life cycle</b> and contribute to <b>data model development</b> and <b>data flow design</b> for reporting and analytics.
</li><li>Create and maintain comprehensive documentation, including <b>business glossaries</b>, <b>data dictionaries</b>, and <b>data lineage</b>.
</li><li>Support the implementation and ongoing maintenance of <b>data tools</b> (e.g., <b>Axon</b>) to improve data management and visibility.
</li><li>Collaborate with IT and business stakeholders to address data issues and improve overall data usability.
</li></ul><p><b>Requirements</b></p><h3 class="jobSectionHeader"><b>
Requirements:</b></h3><ul>
<li><b>Experience in the banking domain</b> is required.
</li><li>Hands-on experience with <b>NDMO domains</b> and implementation.
</li><li>Proficient in <b>data analysis techniques and tools</b>, with a strong <b>analytical mindset</b>.
</li><li>Experience in <b>data profiling</b>, validation, and resolving data discrepancies.
</li><li>Knowledge of <b>data modeling</b> and ability to contribute to <b>data flow design</b> for <b>data warehouse</b> and <b>big data</b> platforms.
</li><li>Strong skills in creating and maintaining <b>data documentation</b> (glossaries, dictionaries, lineage, etc.).
</li><li>Proven ability to work collaboratively with <b>cross-functional teams</b> and communicate effectively with technical and non-technical stakeholders.
</li><li>Experience with <b>data-related tools</b> (e.g., <b>Axon</b> or similar platforms).
</li><li>Understanding of <b>data quality best practices</b> and a commitment to maintaining high data integrity.
</li><li><b>Proactive problem-solving skills</b> for timely and effective issue resolution.
</li><li><b>DAMA certification</b> is a plus.</li></ul></div>

Senior Data Analyst

Saudi Global Ports

<div>
 <p>
  <strong>
   Job Summary:
  </strong>
 </p>
 <p>
  The HR Data Analyst will play a key role in analyzing workforce data, ensuring data accuracy, and supporting evidence-based HR decision-making. The role focuses on HR metrics, reporting, and system optimization while also supporting compliance and HR operations.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Collect, clean, and maintain accurate HR data across all HR systems (HRIS, payroll, and government portals such as GOSI, Muqeem, and Qiwa).
  </li>
  <li>
   Develop and maintain HR dashboards and reports to provide insights on headcount, turnover, recruitment, performance, and compensation.
  </li>
  <li>
   Analyze workforce trends to support strategic HR planning, manpower forecasting, and decision-making.
  </li>
  <li>
   Ensure compliance with Saudi labor laws and company HR policies through accurate reporting and audits.
  </li>
  <li>
   Support recruitment data analysis (e.g., time-to-hire, cost-per-hire, source effectiveness).
  </li>
  <li>
   Monitor employee performance and engagement metrics, providing analytical support for performance management processes.
  </li>
  <li>
   Identify training and development needs through data analysis and help measure training effectiveness.
  </li>
  <li>
   Partner with HR and business leaders to provide data-driven insights that improve workforce planning, retention, and employee satisfaction.
  </li>
  <li>
   Generate periodic HR reports for management and external audits.
  </li>
  <li>
   Support digital HR transformation projects, including system upgrades, automation, and analytics initiatives.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Diploma or bachelor&rsquo;s degree.
  </li>
  <li>
   2&ndash;3 years of experience in HR analytics, reporting, or HR operations.
  </li>
  <li>
   Proficiency in HRIS and advanced Microsoft Excel/Power BI (data visualization &amp; reporting).
  </li>
  <li>
   Strong analytical and problem-solving skills with attention to detail.
  </li>
  <li>
   Ability to handle sensitive and confidential information.
  </li>
  <li>
   Solid understanding of HR processes, labor legislation, and payroll.
  </li>
  <li>
   Excellent communication and interpersonal skills, with the ability to present complex data effectively.
  </li>
 </ul>
</div>


HR Data Analyst

Explore 1712+ Data analyst in Saudi Arabia this October. Find roles across top companies and apply now to boost your career.

1712 data analyst jobs IN Saudi Arabia

Data Analyst

Data Analyst

Data Analyst

Language Data Analyst

Data Analyst Lead

Senior Data Analyst

HR Data Analyst