data analyst

business analyst Jobs in Charge Jobs In Doha

business analyst

customer engineer, data analytics, google cloud Jobs in Charge Jobs In Doha

customer engineer, data analytics, google cloud

data analysis and research specialist Jobs in Charge Jobs In Doha

data analysis and research specialist

data scientist (roads o&m) Jobs in Charge Jobs In Doha

data scientist (roads o&m)

data analytics

Bornan Sports Technology

<p>Hello!</p><p>Bornan Sports Technology is a company specialised in technological innovation applied to sport, in all types of events and at national and international level. Our services include results management, real-time TV graphics and Streaming, Web and Apps, etc...</p><p>We are looking for a Data Analytics to support business, product, and operational decision-making through accurate and insightful data analysis. The role involves working with large datasets, developing reports, and providing actionable insights, particularly in fast-paced and live event environments.</p><p><b>Key Responsibilities:</b></p><ul><li>Collect, clean, and analyze data from internal and external sources .</li><li>Build dashboards and reports for internal stakeholders.</li><li>Identify trends and patterns to support decision-making.</li><li>Maintain data accuracy, quality, and consistency.</li><li>Collaborate with product, technology, and operations teams.</li><li>Support live event data monitoring and reporting.</li><li>Automate recurring reports and analysis processes.</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s degree in Data Analytics, Statistics, Computer Science, or a related field.</li><li>Proven experience in data analysis or business intelligence.</li><li>Strong knowledge of SQL and data visualization tools.</li><li>Solid analytical and problem-solving skills.</li><li>High attention to detail and accuracy.</li><li>Fluency in English and Arabic</li><li>Experience in sports or event technology is an advantage.</li><li>Teamworking</li><li>Initiative</li><li>Most importantly, a lot of enthusiasm!</li></ul><p>If you want to live an experience... come and join us!</p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>What is your salary expectations (full Package)?</li><li>What is your visa type and nationality?</li></ul><p>Experience:</p><ul><li>Data Analytics: 2 years (Required)</li></ul><p>Language:</p><ul><li>Arabic (Required)</li></ul><p>Willingness to travel:</p><ul><li>75% (Preferred)</li></ul>

Data Analytics

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>10 years of experience with cloud native architecture in a customer-facing or support role.</li>
<li>Experience with &quot;Big Data&quot; technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.</li>
<li>Experience with Data Warehousing architectures (e.g., legacy appliances like Teradata/Netezza or modern cloud warehouses).</li>
<li>Experience in SQL and data visualization tools (Looker, Tableau, Power BI).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience scripting in Python, Java, or Go for data processing tasks.</li>
<li>Experience presenting technical concepts to C-level executives and leading technical whiteboard sessions.</li>
<li>Experience architecting and deploying data solutions on public cloud platforms (Google Cloud).</li>
<li>Experience with Google Cloud BigQuery, Looker, and machine learning integration in data warehouses (e.g. BigQuery ML).</li>
<li>Understanding of the data analytics market, including current trends in business intelligence and big data.</li>
<li>Ability to explain data concepts to non-technical executive stakeholders, including familiarity with ETL/ELT pipelines and orchestration tools (e.g., Airflow/Cloud Composer, dbt).</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
<br>
<br>
As a Customer Engineer, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs-of-concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back-ends and all aspects of the data life-cycle. You will engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud.<br>
<br>
You will be a part of a various team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Collaborate with the team to identify and qualify business opportunities, understand key customer objections, and develop a strategy to resolve technical blockers in relation to aspects of the data life-cycle.</li>
<li>Share in-depth data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.</li>
<li>Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.</li>
<li>Demonstrate and prototype integrations in customer and partner environments by working directly with Google Cloud products.</li>
<li>Prepare and deliver sales messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and RFI responses.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Customer Engineer, Data Analytics, Google Cloud

<div>
 <strong>
  Minimum qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree or equivalent practical experience.
  </li>
  <li>
   10 years of experience with cloud native architecture in a customer-facing or support role.
  </li>
  <li>
   Experience with "Big Data" technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.
  </li>
  <li>
   Experience with Data Warehousing architectures (e.g., legacy appliances like Teradata/Netezza or modern cloud warehouses).
  </li>
  <li>
   Experience in SQL and data visualization tools (Looker, Tableau, Power BI).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience scripting in Python, Java, or Go for data processing tasks.
  </li>
  <li>
   Experience presenting technical concepts to C-level executives and leading technical whiteboard sessions.
  </li>
  <li>
   Experience architecting and deploying data solutions on public cloud platforms (Google Cloud).
  </li>
  <li>
   Experience with Google Cloud BigQuery, Looker, and machine learning integration in data warehouses (e.g. BigQuery ML).
  </li>
  <li>
   Understanding of the data analytics market, including current trends in business intelligence and big data.
  </li>
  <li>
   Ability to explain data concepts to non-technical executive stakeholders, including familiarity with ETL/ELT pipelines and orchestration tools (e.g., Airflow/Cloud Composer, dbt).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About the job
 </strong>
 When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
 <br/>
 <br/>
 As a Customer Engineer, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs-of-concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back-ends and all aspects of the data life-cycle. You will engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud.
 <br/>
 <br/>
 You will be a part of a various team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collaborate with the team to identify and qualify business opportunities, understand key customer objections, and develop a strategy to resolve technical blockers in relation to aspects of the data life-cycle.
  </li>
  <li>
   Share in-depth data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
  </li>
  <li>
   Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
  </li>
  <li>
   Demonstrate and prototype integrations in customer and partner environments by working directly with Google Cloud products.
  </li>
  <li>
   Prepare and deliver sales messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and RFI responses.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>


VAM SYSTEMS

<div><b>Job Description</b><p><b><br>
We are</b> currently looking for <b>Project</b><b> Manager- Data &amp; Analytics </b><b>for </b>our<b> Qatar </b>operations with the following Skill set and terms &amp; conditions.</p><p><b>
Skills and Experience:</b></p><p><b>
Key Responsibilities:</b></p><ul><li>
End-to-end ownership of project delivery, including planning, execution, and closure.</li><li>
Manage and engage multiple stakeholders across business units, IT teams, and external partners.</li><li>
Drive project governance through Agile methodologies, including sprint planning, backlog management, and progress tracking using JIRA.</li><li>
Facilitate Project Review Working Groups, ensuring timely updates, risk mitigation, and decision-making.</li><li>
Oversee vendor coordination and ensure compliance with timelines, budgets, and quality standards.</li></ul><p><b>
Required Skills and Experience:</b></p><ul><li>
Minimum 12+ years of experience in managing large-scale Data and AI projects, preferably within banking or financial services.</li><li>
Strong technical understanding of data platforms, analytics frameworks, and AI-driven solutions.</li><li>
Proven ability to manage complex stakeholder environments and deliver results under tight deadlines.</li><li>
Expertise in Agile project management, JIRA, and collaborative tools.</li><li>
Excellent communication and leadership skills to drive cross-functional alignment.</li><li>
GCC or Qatar banking experience is highly desirable.</li></ul><p><b>
Joining time frame: </b>2 weeks (maximum 1 month)</p><p></p><b><br>
Additional Information</b><p><b><br>
Terms and conditions:</b></p><p><b>
Joining time frame:</b> <b>maximum 4 weeks</b></p></div><p></p>

Project Manager- Data & Analytics - Banking

Qatar National Bank

<div></div><div><div><ul><li><div><b>Business Unit</b>
</div><div>QNB - Qatar
</div></li><li><div><b>Division</b>
</div><div>Internal Audit
</div></li><li><div><b>Department</b>
</div><div>Audit &amp; Compliance
</div></li><li><div><b>Location</b>
</div><div>Doha, Qatar
</div></li><li><div><b>Closing Date</b>
</div><div>30-Nov-2026
</div></li></ul></div><div><div><h5 class="jobSectionHeader"><b>About QNB</b></h5>
<p>Established in 1964 as the country&rsquo;s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.</p>
<p>QNB Group&rsquo;s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.</p>
<p>QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard &amp; Poor&rsquo;s (A), Moody&rsquo;s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.</p>
<p>Based on the Group&rsquo;s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.</p>
<p>QNB Group has an active community support program and sponsors various social, educational and sporting events.</p>
</div></div><div><div><div><h5 class="jobSectionHeader"><b>Job Purpose Summary:</b></h5>
</div><div><p>The incumbent will support the Data Analytics and Technology team, within the Professional Practices department, providing independent guidance on the audit function's technology, data analytics and AI strategy. The role contributes to the strategic implementation and integration of advanced data analytics, AI tools, and continuous auditing techniques across the audit function to enhance efficiency and real-time risk monitoring. This role requires full compliance with the GIAD Group Audit Manual, IIA standards, and all relevant local regulations and industry audit standards. The incumbent will contribute to strengthening the organization's audit quality and efficiency and adoption of technology.</p>
</div></div><div><div><h5 class="jobSectionHeader"><b>Essential Duties &amp; Responsibilities by Dimensions:</b></h5>
</div><div><p><b>A. Shareholder &amp; Financial:</b></p><ul><li>Contribute to the development and execution of the risk-based annual audit plan that aligns with the Group Internal Audit strategy and helps safeguard critical assets and systems that underpin the organization's financial operations and shareholder value.</li><li>Assist in identifying significant risks that could lead to financial loss, operational disruption, or reputational damage, providing actionable recommendations to mitigate these risks.</li><li>Assess the efficiency and effectiveness of audit-related investments and technology-related processes.</li><li>Implements KPIs and best practices for Senior Associate, Data Analytics and Technology</li><li>Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank.</li><li>Act within the limits of the powers delegated to the incumbent.</li><li>Demonstrate clear understanding of the important factors behind the bank's financial &amp; non-financial performance.</li></ul><p><b>
B. Customer (Internal &amp; External):</b></p><ul><li>Assist in building and maintaining strong, independent, and collaborative relationships with all internal audit teams and other relevant stakeholders across the Group.</li><li>Communicate data analytics and AI strategies to the VP, and other senior stakeholders as directed.</li><li>Assist (internal) customers in all their queries on the audit processes and seek a solution to their requests.</li><li>Coordinate effectively with external auditors and regulatory bodies on relevant inquiries.</li><li>Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time.</li><li>Build and maintain strong/effective relationships with related departments/units to achieve the Group&rsquo;s objectives.</li><li>Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required.</li></ul><p><b>
C. Internal (Processes, Products, Regulatory):</b></p><ul><li>Execute analytics by extracting, cleansing and analysing data for specific requests.
</li><li>Conduct data quality and integrity checks and validation to ensure accuracy and reliability of analysis.
</li><li>Suggest improvements to existing reports and data processes to enhance efficiency, Pilot new features and support implementation rollout under management&rsquo;s guidance.</li><li>Support the design and development of dashboards, reporting tools and analytics solutions to provide actionable insights for audit teams and senior management. ; Support the updating and maintenance of existing dashboards.</li><li>Recommend opportunities for integration of data analytics and AI into the audit practice to enhance risk identification, efficiency, and depth of analysis.</li><li>Manage administrative requests relating to audit tools, platforms and technologies and ensure appropriate controls, security and data governance measures are applies to all audit technologies.</li><li>All activities must be conducted in full compliance with the GIAD Group Audit Manual, the IIA's International Professional Practices Framework (IPPF), and relevant country and industry standards.</li><li>Assess the adequacy and effectiveness of the audit technologies and report any identified inefficiencies.</li><li>Ensure the consistent application of data analytics, tools, and best practices across all audit engagements.</li></ul><p><b>
D. Learning &amp; Knowledge:</b></p><ul><li>Support the VP in fostering a data driven culture of innovation.</li><li>Contribute to setting clear performance objectives, conduct regular appraisals, and provide constructive feedback to support the Professional Practices Management team in staying at the forefront of audit best practices.</li><li>Stay abreast of global audit trends, evolving professional standards, and new technologies to proactively identify emerging risks and adapt audit strategies.</li><li>This includes actively fostering innovation and practical skills in data analytics and continuous auditing techniques within the audit division.</li><li>Proactively identify areas for professional development of self and undertake development activities.</li><li>Seek out opportunities to remain current with all developments in professional field.</li></ul><p><b>
E. Legal, Regulatory, and Risk Framework Responsibilities:</b></p><ul><li>Ensure compliance with all applicable legal, regulatory and internal compliance requirements including, but not limited to, Group Policies and Procedures, banking laws and regulations and industry standard setting bodies (IIA, ISACA).</li><li>Understand and effectively perform your role under the Three Lines of Defence principle to identify measure, monitor, manage and report risks.</li><li>Comply with all applicable legal, regulatory and internal compliance requirements including, but not limited to, Group Compliance Policies and Procedures (AML &amp; CTF, Sanctions Policy, Data Protection Policy, Fraud Control Policy, Whistle Blowing Policy, Conflict of Interest and Insider Dealing Policy).</li><li>Ensure systematic good outcomes for clients in accordance with Conduct Risk policy.</li><li>Support the framework of RCSA, KRI, Incident reporting and remediation, as appropriate, in accordance with the Operational Risk Management requirements.</li><li>Maintain appropriate knowledge to ensure full qualification to undertake the role.</li><li>Complete all mandatory training provided by the Bank, attain, and maintain the required levels of competence.</li><li>Attend mandatory (internal and external) seminars as instructed by the Bank.</li></ul><p><b>
F. Other:</b></p><ul><li>Ensure high standards of data protection and confidentiality to safeguard commercially sensitive information.</li><li>Maintaining utmost confidentiality concerning customer and internal bank information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management of QNB, Audit and Compliance functions, and relevant Regulators.</li><li>Maintain high professional standards to uphold QNB's reputation and to strengthen its market leadership position.</li><li>All other ad hoc duties/activities related to QNB that management might request from time to time.</li></ul>
</div></div><div><div><h5 class="jobSectionHeader"><b>Education/Experience Requirements:</b></h5>
</div><div><ul><li>University graduate preferably with a Major in Business Administration, Information Technology, Computer Science, or a related field. Master&rsquo;s is preferred.</li><li>At least 2 years of progressive experience in internal audit, compliance, or a related field, with a focus on data analytics and AI, preferably within a highly rated international bank.</li><li>Certifications: Certified Internal Auditor (CIA) and CISA are highly desirable. Additional certifications in data science, analytics, or AI are preferred.</li><li>Deep understanding of audit methodologies, data analytics practices, and professional audit standards; proven expertise in implementing data analytics and continuous auditing techniques; strong knowledge of internal controls and governance frameworks; proficiency in business intelligence and data analytics tools (e.g., ACL, Tableau, Power BI) and AI concepts.</li><li>Soft Skills: Exceptional analytical, critical thinking, and problem-solving abilities with a strong aptitude for process improvement; superior verbal and written communication skills, with the ability to translate technical insight into actionable recommendations; high level of integrity, objectivity, and professional skepticism; excellent interpersonal and influencing skills, with the ability to effectively challenge business and audit leaders; demonstrated ability to work independently and collaboratively;
</li><li>Excellent oral and written communication skills (including report writing) in English and Arabic (preferred).</li><li>Good interpersonal and presentation skills.</li><li>Understanding of the relevant laws, regulations, and practices.
</li><li>Ability to make decisions and follow through with initiatives.
</li><li>Personal integrity and self-management.</li><li>Planning, organising, and analytical ability.</li><li>Results oriented.</li><li>Strong analytical skills and the ability to communicate both verbally and in writing with all levels of management.</li></ul>
</div></div><div><div><h5 class="jobSectionHeader"><b>Note: you will be required to attach the following:</b></h5>
</div><div><div><ul><li>Resume/CV</li></ul>
<ul><li>CV</li></ul>
<ul><li>Copy of Passport or QID</li></ul>
<ul><li>Copy of Education certificate</li></ul></div></div></div></div></div><div></div>

Senior Associate - Data Analytics and Technology Audit

<div>Job Purpose Summary:<p><br>
The incumbent will support the Data Analytics and Technology team, within the Professional Practices department, providing independent guidance on the audit function's technology, data analytics and AI strategy. The role contributes to the strategic implementation and integration of advanced data analytics, AI tools, and continuous auditing techniques across the audit function to enhance efficiency and real-time risk monitoring. This role requires full compliance with the GIAD Group Audit Manual, IIA standards, and all relevant local regulations and industry audit standards. The incumbent will contribute to strengthening the organization's audit quality and efficiency and adoption of technology.</p>
Essential Duties &amp; Responsibilities by Dimensions:<p><b><br>
A. Shareholder &amp; Financial:</b></p><ul><li>Contribute to the development and execution of the risk-based annual audit plan that aligns with the Group Internal Audit strategy and helps safeguard critical assets and systems that underpin the organization's financial operations and shareholder value.</li><li>Assist in identifying significant risks that could lead to financial loss, operational disruption, or reputational damage, providing actionable recommendations to mitigate these risks.</li><li>Assess the efficiency and effectiveness of audit-related investments and technology-related processes.</li><li>Implements KPIs and best practices for Senior Associate, Data Analytics and Technology</li><li>Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank.</li><li>Act within the limits of the powers delegated to the incumbent.</li><li>Demonstrate clear understanding of the important factors behind the bank's financial &amp; non-financial performance.</li></ul><p><b>
B. Customer (Internal &amp; External):</b></p><ul><li>Assist in building and maintaining strong, independent, and collaborative relationships with all internal audit teams and other relevant stakeholders across the Group.</li><li>Communicate data analytics and AI strategies to the VP, and other senior stakeholders as directed.</li><li>Assist (internal) customers in all their queries on the audit processes and seek a solution to their requests.</li><li>Coordinate effectively with external auditors and regulatory bodies on relevant inquiries.</li><li>Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time.</li><li>Build and maintain strong/effective relationships with related departments/units to achieve the Group's objectives.</li><li>Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required.</li></ul><p><b>
C. Internal (Processes, Products, Regulatory):</b></p><ul><li>Execute analytics by extracting, cleansing and analysing data for specific requests.
</li><li>Conduct data quality and integrity checks and validation to ensure accuracy and reliability of analysis.
</li><li>Suggest improvements to existing reports and data processes to enhance efficiency, Pilot new features and support implementation rollout under management's guidance.</li><li>Support the design and development of dashboards, reporting tools and analytics solutions to provide actionable insights for audit teams and senior management. ; Support the updating and maintenance of existing dashboards.</li><li>Recommend opportunities for integration of data analytics and AI into the audit practice to enhance risk identification, efficiency, and depth of analysis.</li><li>Manage administrative requests relating to audit tools, platforms and technologies and ensure appropriate controls, security and data governance measures are applies to all audit technologies.</li><li>All activities must be conducted in full compliance with the GIAD Group Audit Manual, the IIA's International Professional Practices Framework (IPPF), and relevant country and industry standards.</li><li>Assess the adequacy and effectiveness of the audit technologies and report any identified inefficiencies.</li><li>Ensure the consistent application of data analytics, tools, and best practices across all audit engagements.</li></ul><p><b>
D. Learning &amp; Knowledge:</b></p><ul><li>Support the VP in fostering a data driven culture of innovation.</li><li>Contribute to setting clear performance objectives, conduct regular appraisals, and provide constructive feedback to support the Professional Practices Management team in staying at the forefront of audit best practices.</li><li>Stay abreast of global audit trends, evolving professional standards, and new technologies to proactively identify emerging risks and adapt audit strategies.</li><li>This includes actively fostering innovation and practical skills in data analytics and continuous auditing techniques within the audit division.</li><li>Proactively identify areas for professional development of self and undertake development activities.</li><li>Seek out opportunities to remain current with all developments in professional field.</li></ul><p><b>
E. Legal, Regulatory, and Risk Framework Responsibilities:</b></p><ul><li>Ensure compliance with all applicable legal, regulatory and internal compliance requirements including, but not limited to, Group Policies and Procedures, banking laws and regulations and industry standard setting bodies (IIA, ISACA).</li><li>Understand and effectively perform your role under the Three Lines of Defence principle to identify measure, monitor, manage and report risks.</li><li>Comply with all applicable legal, regulatory and internal compliance requirements including, but not limited to, Group Compliance Policies and Procedures (AML &amp; CTF, Sanctions Policy, Data Protection Policy, Fraud Control Policy, Whistle Blowing Policy, Conflict of Interest and Insider Dealing Policy).</li><li>Ensure systematic good outcomes for clients in accordance with Conduct Risk policy.</li><li>Support the framework of RCSA, KRI, Incident reporting and remediation, as appropriate, in accordance with the Operational Risk Management requirements.</li><li>Maintain appropriate knowledge to ensure full qualification to undertake the role.</li><li>Complete all mandatory training provided by the Bank, attain, and maintain the required levels of competence.</li><li>Attend mandatory (internal and external) seminars as instructed by the Bank.</li></ul><p><b>
F. Other:</b></p><ul><li>Ensure high standards of data protection and confidentiality to safeguard commercially sensitive information.</li><li>Maintaining utmost confidentiality concerning customer and internal bank information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management of QNB, Audit and Compliance functions, and relevant Regulators.</li><li>Maintain high professional standards to uphold QNB's reputation and to strengthen its market leadership position.</li><li>All other ad hoc duties/activities related to QNB that management might request from time to time.</li></ul>
Education/Experience Requirements:<ul><li><br>
University graduate preferably with a Major in Business Administration, Information Technology, Computer Science, or a related field. Master's is preferred.</li><li>At least 2 years of progressive experience in internal audit, compliance, or a related field, with a focus on data analytics and AI, preferably within a highly rated international bank.</li><li>Certifications: Certified Internal Auditor (CIA) and CISA are highly desirable. Additional certifications in data science, analytics, or AI are preferred.</li><li>Deep understanding of audit methodologies, data analytics practices, and professional audit standards; proven expertise in implementing data analytics and continuous auditing techniques; strong knowledge of internal controls and governance frameworks; proficiency in business intelligence and data analytics tools (e.g., ACL, Tableau, Power BI) and AI concepts.</li><li>Soft Skills: Exceptional analytical, critical thinking, and problem-solving abilities with a strong aptitude for process improvement; superior verbal and written communication skills, with the ability to translate technical insight into actionable recommendations; high level of integrity, objectivity, and professional skepticism; excellent interpersonal and influencing skills, with the ability to effectively challenge business and audit leaders; demonstrated ability to work independently and collaboratively;
</li><li>Excellent oral and written communication skills (including report writing) in English and Arabic (preferred).</li><li>Good interpersonal and presentation skills.</li><li>Understanding of the relevant laws, regulations, and practices.
</li><li>Ability to make decisions and follow through with initiatives.
</li><li>Personal integrity and self-management.</li><li>Planning, organising, and analytical ability.</li><li>Results oriented.</li><li>Strong analytical skills and the ability to communicate both verbally and in writing with all levels of management.</li></ul></div>

Senior Associate - Data Analytics and Technology Audit ( Qatarization)

QatarEnergy

<div>Primary Purpose of the Job:
<ul><li>Lead end-to-end automation of HR business processes, including SAP HR modules, Fiori workflows, and integration with enterprise systems (SAP S/4HANA, SuccessFactors, ICIMS).</li><li>
Drive strategic HR technology initiatives such as Contingent Workforce Management System, Succession Planning Automation, and People Analytics implementation to align with corporate digitalization goals.</li><li>
Provide governance and support for HR divisions on system utilization, data integrity, and compliance with information security standards.</li><li>
Champion HR analytics and predictive modelling initiatives to enable data-driven workforce planning and strategic decision-making.</li><li>
Lead HR data governance to ensure data is accurate, secure, compliant, and usable for strategic decisions</li></ul>
Required Experience and Skills:
<ul><li>15+ years in ICT and HR systems, including 7+ years in ERP supervisory roles.</li><li>
Expertise in SAP HR, SuccessFactors, and advanced analytics platforms.</li><li>
Proven leadership in project management, data governance, and HR process automation.</li></ul>
Educational Qualifications:
<ul><li>University degree in Computer Science or equivalent.</li></ul></div>

HEAD, HR DATA MANAGEMENT & ANALYTICS

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