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senior business analyst Jobs in Saudi Arabia

senior business analyst

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Accenture

<div>Accenture Technology: 
Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client&rsquo;s most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence, and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses. Visit us at www.accenture.com
Bring Your Individuality to Accenture:
Your personality and individuality make the difference. At Accenture, we elevate our clients' entrepreneurial productivity and guide them into the digital age &mdash; especially in the transformative world of Data &amp; Analytics.
e design, develop, and deliver cutting-edge software and services across all major industries, helping organizations rethink how they operate, grow, and create new business value.
Are you looking for work that challenges and inspires every single day? Then this is your opportunity. A typical day at Accenture Data &amp; Analytics Solution Architecture doesn&rsquo;t exist &mdash; and that&rsquo;s exactly why people love being part of our team.
This is your chance to leave a lasting footprint on mission-critical client projects. Step up, lead from the front, and drive the future of Data &amp; Analytics with us.
Responsibilities:
As a Senior Manager in our Data &amp; Analytics Solution Architecture team, you will:<ul><li>
Design and deliver market-relevant, scalable, and high-impact solutions for clients in areas such as:<ul><li>
Data Warehousing</li><li>
Cloud Analytics</li><li>
Artificial Intelligence &amp; Machine Learning</li><li>
ML-Ops</li><li>
Data Governance</li><li>
Master Data Management</li><li>
And more.</li></ul></li><li>
Translate complex business and technical requirements into future-proof application and technical architectures.</li><li>
Develop end-to-end solution concepts, including architecture vision, delivery organization, and operational models.</li><li>
Serve as a trusted advisor to clients and internal teams by bringing deep technical expertise and strategic insight.</li><li>
Support our sales and business development teams by contributing to solutioning, proposal writing, and client presentations.</li><li>
Utilize state-of-the-art methodologies and tools in developing solution architectures (e.g., Agile, DevOps, cloud-native services, data pipelines).</li></ul></div>
 
<div>Basic Qualifications:<ul><li>
Minimum of 15 years of relevant industry experience with hands-on project delivery in Data &amp; Analytics domains.</li><li>
Proven experience as a technical architect or solution architect in areas such as:<ul><li>
Data integration</li><li>
Analytics &amp; reporting</li><li>
Data science and machine learning</li><li>
Data management and governance</li><li>
System and enterprise architecture design</li></ul></li><li>
Strong understanding of modern software development methodologies, including:<ul><li>
Agile frameworks (Scrum, Kanban)</li><li>
Waterfall</li><li>
DevOps practices</li></ul></li><li>
A degree in (Business) Informatics, Mathematics, Engineering, or other STEM disciplines &ndash; or an equivalent qualification.</li><li>
Ability to lead multi-disciplinary teams and engage with C-level stakeholders confidently.</li><li>
Strong communication, stakeholder management, and leadership skills.</li></ul>
Why join us?<ul><li>
We offer a transparent, fast paced approach career progression, with a focus on your strengths and continuous coaching from senior colleagues</li><li>
You will benefit from working alongside Accenture experts who are solving some of the biggest industry challenges with innovative thinking and pioneering tools</li><li>
Flexible work arrangements and a range of benefits including competitive rewards</li><li>
You will have access to state-of-the-art technology that will give you the opportunity to deepen your existing skills even as you help create the latest business trends</li><li>
You will also have opportunities to make a difference to the communities in which we work and live</li></ul>
Next Steps: 
If this sounds like the ideal role, career and company for you, click to apply. 
To learn more about life @AccentureMiddleEast, follow us on social media and keep up with our latest news. 
Accenture Middle East: LinkedIn, Instagram, Facebook, Twitter, YouTube</div>

Senior Manager – Data & Analytics Solution Architecture

The Cigna Group

<div>Overview 
Cigna Worldwide Insurance Company, KSA, is looking to appoint a Data &amp; Analytics Manager based in Riyadh to support the development of the local D&amp;A function.
As the Data &amp; Analytics Manager, you will be responsible for supervision of the local D&amp;A team, supporting the transition of business reporting and data processes to local systems, and developing data analytics and business reporting for multiple business functions. This role is crucial in driving the company's digital transformation and ensuring the integrity and accessibility of data across various departments.
Key Responsibilities<ul><li>
Leadership and Team Management:<ul><li>
Lead, mentor, and develop a team of data analysts, fostering a high-performance culture.</li><li>
Set clear performance expectations, provide regular feedback, and conduct performance appraisals.</li><li>
Ensure continuous professional development of the D&amp;A team.</li></ul></li><li>
Support the Transition to Localized Systems:<ul><li>
Support the migration of data-dependent processes and business reporting to new local systems, ensuring a smooth transition and minimal disruption.</li></ul></li><li>
Data Architecture, Governance and Management:<ul><li>
Design and maintain conceptual and logical data models aligned with enterprise architecture standards.</li><li>
Ensure data structures support regulatory, operational, and analytical reporting needs.</li><li>
Implement and maintain data governance and management strategies to ensure data quality and consistency.</li></ul></li><li>
Data Extraction and Reconciliation:<ul><li>
Oversee the extraction and reconciliation of data from various systems to ensure its availability and accuracy for key functions including actuarial, underwriting and finance.</li></ul></li><li>
Reporting Support:<ul><li>
Develop and maintain reporting capabilities required by various functions, including Compliance, Operations, Sales and Client Management, ensuring timely and accurate reporting.</li><li>
Lead the development of automated reporting pipelines using enterprise BI tools.</li><li>
Drive the transition from manual to automated reporting processes, ensuring data quality and reconciliation with source systems.</li></ul></li><li>
Collaboration:<ul><li>
Collaborate with IT and business stakeholders to define data integration and transformation requirements.</li><li>
Work closely with various departments, Operations and Customer Service, to ensure data needs are met and to support the development of analytics solutions.</li></ul></li><li>
Innovation and Improvement:<ul><li>
Identify opportunities to leverage new tools and technologies to enhance data management and reporting processes.</li></ul></li></ul>
Target Profiles &amp; Capabilities
Qualifications and Experience:<ul><li>
Undergraduate qualification in Mathematics, Data Science, Actuarial Science, or a related field</li><li>
Minimum of 6-10 years of Data &amp; Analytics experience, preferably within the Saudi Arabian medical insurance industry, with at least 3-5 years in a management role</li></ul>
Personal Profile:<ul><li>
Experience:
</li></ul>6+ years of experience in data and analytics, with a strong background in data extraction, reconciliation, and reporting.<ul><li>
Technical Skills:
</li></ul>Proficiency in analytic platforms and business intelligence software such as Alteryx, Tableau, Power BI, Qlik, SQL, Python, and/or R.<ul><li>
Analytical Skills:
</li></ul>Strong analytical capabilities with experience in building and implementing data models, business dashboards, and reports.<ul><li>
Communication Skills:
</li></ul>Excellent verbal and written communication skills, with the ability to present complex data insights to various stakeholders.<ul><li>
Collaboration:
</li></ul>Proven ability to work collaboratively with cross-functional teams.<ul><li>
Adaptability:
</li></ul>Ability to adapt to a fast-paced and dynamic environment, with a strong focus on continuous improvement and innovation.<div>
Confidential, unpublished property of Cigna Healthcare. Do not duplicate or distribute. Use and distribution limited solely to authorized personnel. &copy; 2025 Cigna Healthcare</div>
About The Cigna Group
Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we&rsquo;re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: SeeYourselfEMEA@cigna.com for support. Do not email SeeYourselfEMEA@cigna.com for an update on your application or to provide your resume as you will not receive a response.</div>

Data And Analytics Manager

Al Rajhi Takaful

<div>
 
 
 Job Purpose
 
 :
 
 
 
 
 
 Support the Motor Pricing &amp; Data Analytics function by performing actuarial and data analysis, developing pricing models, and delivering insights that drive data-based decisions and improve business performance.
 
 
 
 
 
 
 
 
 
 Key Activities, Responsibilities and Accountabilities:
 
 
 
 
 
 <ul>
 <li>
 Apply statistical and actuarial techniques (GLM, frequency&ndash;severity, machine learning where relevant) to build/improve pricing sophistication.
 </li>
 <li>
 Conduct reserving analysis and profitability studies.
 </li>
 <li>
 Perform actuarial analyses to monitor technical rate adequacy, loss ratios, and portfolio performance.
 </li>
 <li>
 Developing and implementing data analysis, data collection systems and other strategies that optimize statistical efficiency and quality.
 </li>
 <li>
 Deliver actionable insights through dashboards, reports, and analytical tools to support business decisions.
 </li>
 <li>
 Collaborate with underwriting, claims, and finance teams to align pricing strategies with business needs.
 </li>
 <li>
 Responsible for complying with cyber security policy, standards and procedures.
 </li>
 <li>
 Collect related information and maintain databases of actual/ perceived price benchmark positioning by customers to support pricing action plans.
 </li>
 <li>
 Perform advanced and complex pricing analysis scenarios to develop and evaluate business cases for new pricing strategies in order to support the decision-making process.
 </li>
 <li>
 Analyze market data and make recommendations on the revision of pricing to maintain alignment with the marketplace.
 </li>
 </ul>
 
 
 
 
 
 Job requirements:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in actuarial and financial mathematics.
 </li>
 <li>
 2-3 years of experience.
 </li>
 <li>
 English language
 </li>
 </ul>
</div>

Pricing and Data Analytics Sr. Analyst

Parsons

<div>In a world of possibilities, pursue one with endless opportunities. Imagine Next!
When it comes to what you want in your career, if you can imagine it, you can do it at Parsons. Imagine a career working with intelligent, diverse people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We&rsquo;ve got what you&rsquo;re looking for.
Job Description:
<div><div>Parsons is seeking a highly skilled and experienced Data Management / Analytics Expert to join our transportation technology team on a high-profile project in Saudi Arabia. This role is pivotal in leveraging big data to drive insights and optimizations for traffic management systems, enabling data-driven decision-making in large-scale urban transportation projects. The ideal candidate will have deep expertise in transportation data analytics, big data processing, visualization tools, and statistical analysis to support scalable solutions for traffic optimization.
What You'll Be Doing:
<ul><li>Design and implement data management strategies for transportation datasets, including ingestion, processing, and storage of traffic, sensor, and mobility data from diverse sources (e.g., ITS systems, APIs, sensors).
</li><li>Develop advanced analytics workflows to process big data, applying statistical models and machine learning techniques to derive insights for traffic flow, congestion prediction, and optimization.
</li><li>Build and maintain visualization dashboards and tools (e.g., using Tableau, Power BI) to present complex transportation data in actionable formats for stakeholders.
</li><li>Implement data-driven solutions for traffic optimization, such as real-time analytics for adaptive signal control, predictive modeling for demand management, and performance evaluation of transportation systems.
</li><li>Ensure data quality, reliability, and compliance through validation frameworks, anomaly detection, and integration with transportation-specific standards.
</li><li>Collaborate with traffic engineers, ITS specialists, and project stakeholders to translate data insights into operational improvements and policy recommendations.
</li><li>Mentor team members on analytics best practices and contribute to continuous improvement in data handling and analysis methodologies.
</li></ul>What Required Skills You'll Bring:
<ul><li>Bachelor's or Master&rsquo;s degree in Data Science, Computer Science, Transportation Engineering, or a related field.
</li><li>10+ years of experience in transportation data analytics, data management, or related fields.
</li><li>Expertise in big data processing technologies (e.g., Hadoop, Spark) and visualization tools (e.g., Tableau, Power BI).
</li><li>Proficiency in statistical analysis, Python/R for data modeling, and SQL for querying large datasets.
</li><li>Experience implementing data-driven traffic optimization solutions, including predictive analytics and simulation-based insights.
</li><li>Strong problem-solving skills and ability to work independently in a fast-paced environment.
</li></ul>What Desired Skills You'll Bring:
<ul><li>Experience with transportation-specific tools (e.g., SYNCHRO, VISSIM for traffic simulation integration) and real-time data processing (e.g., Kafka, Spark Streaming).
</li><li>Familiarity with data governance, security, and compliance in public sector transportation projects.
</li><li>Certifications in data analytics (e.g., Google Data Analytics, Microsoft Certified: Azure Data Scientist) or transportation-related fields.
</li></ul></div></div>Parsons equally employs representation at all job levels no matter the race, color, religion, sex (including pregnancy), national origin, age, disability or genetic information.
We truly invest and care about our employee&rsquo;s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest&mdash;APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/ .</div>

Data Management / Analytics Expert

ترشيد | TARSHID

<div>
 
 
 
 About Tarshid:
 
 
 
 
 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.
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 
 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.
 
 
 
 
 
 
 
 Main Responsibilities:
 
 
 
 
 
 
 Data Strategy &amp; Governance:
 
 
 
 <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>
 
 
 
 Immediate (Pre&ndash;Data Lake):
 
 
 
 <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>
 
 
 
 Transition (During Data Lake Implementation):
 
 
 
 <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>
 
 
 
 Future (Post&ndash;Data Lake):
 
 
 
 <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>
 
 
 
 
 
 
 Qualifications, Experience &amp; Skills :
 
 
 
 <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>
 
 
 
 Technical &amp; Process Expertise:
 
 
 
 <ul>
 <li>
 Business Analysis, Elicitation &amp; Collaboration
 </li>
 <li>
 Solution Performance Evaluation
 </li>
 <li>
 Market Intelligence &amp; Insight
 </li>
 </ul>
 
 
 
 Governance &amp; Oversight:
 
 
 
 <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>
 
 
 
 Soft Skills
 
 
 
 <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

Saudi Credit Bureau - SIMAH

<div>
 
 
 JOB PURPOSE / ROLE:
 
 
 
 
 
 
 To conducts advanced quantitative analysis techniques and statistical models so as to develop, enhance and validate tailored value-added and generate data reporting and analytics, and data storytelling to support decision-makers in within SIMAH.
 
 
 
 
 
 
 AREAS OF RESPONSIBILITY:
 
 
 
 
 
 
 
 Policies, Processes &amp; Procedures
 
 
 <ul>
 <li>
 Follows all relevant departmental policies, processes, standard operating procedures, and instructions so that work is carried out in a controlled and consistent manner.
 </li>
 <li>
 Updates/develops the unit's policies, processes, and procedures as and when required.
 </li>
 </ul>
 
 
 Day- to-day operations
 
 
 <ul>
 <li>
 Conducts day-to-day operations related to own job to ensure continuity of work.
 </li>
 </ul>
 
 
 Analytics
 
 
 <ul>
 <li>
 Conducts current analytical products and guide the development of tailored analytics products/services taking into consideration historical data retrieved from SIMAH database, market demand, standards from local and international regulatory authorities and client characteristics.
 </li>
 <li>
 Work to ensure the continuous product enhancements to increase their effectiveness, efficiency, and product value in the market.
 </li>
 <li>
 Works to Identify, promote and evaluate initiatives for the development of value-added product/service.
 </li>
 <li>
 Work in testing and evaluation of all new value-added products against their specifications prior their launch to facilitate the provision of high-quality services and products to the market.
 </li>
 <li>
 Follow and hold good knowledge in the current and future regulatory standards and specifications e.g., SAMA regulations.
 </li>
 <li>
 Ensure feedback from members is obtained on value-added products/services and action points are implemented to continuously enhance products and services.
 </li>
 </ul>
 
 
 Reporting
 
 
 <ul>
 <li>
 Works in the preparation of timely and accurate reports of SIMAH to meet company and department requirements, policies, and standards.
 </li>
 </ul>
 
 
 Safety, Quality &amp; Environment
 
 
 
 
 
 <ul>
 <li>
 Complies with all relevant safety, quality and environmental management policies, procedures, and controls to ensure a healthy and safe work environment.
 </li>
 </ul>
 
 
 Related Assignments
 
 
 <ul>
 <li>
 Performs other related duties or assignments as directed.
 </li>
 </ul>
 
 
 
 
 
 QUALIFICATIONS &amp; EXPERIENCE:
 
 
 
 
 
 
 
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in data analytics, MIS, finance, or mathematics
 </li>
 </ul>
 
 
 Minimum Experience:
 
 
 <ul>
 <li>
 3-4 years of experience in data analytics, MIS within banking or another relevant sector
 </li>
 </ul>
 
 
 Language:
 
 
 
 English: Advanced
 
 
 
 
 
 
 
 
 
 SOFT SKILLS &amp; TECKNICAL KNOLWDING AREAS:
 
 
 <ul>
 <li>
 Very good numerical and analytical skills
 </li>
 <li>
 Very good knowledge of MIS and data analytics
 </li>
 <li>
 Experience of statistical and BI tools, e.g., SQL, Tableau, MicroStrategy
 </li>
 <li>
 Adaptability &amp; Improvement
 </li>
 <li>
 Commitment &amp; Motivation
 </li>
 </ul>
 
 
</div>

Data Analyst

Saudi Air Navigation Services

<div>
 
 
 Role Purpose
 
 
 
 To lead a team of data scientists within the Analytics Department in order to develop advanced machine learning models, deliver actionable insights through corporate reporting, and oversee the creation of predictive models, advanced analytics, and data visualizations within the set KPIs, agreed budgets, and adopted policies and procedures.
 
 
 
 
 
 Responsibilities for Internal Candidates
 
 
 
 
 
 
 Key Accountability Areas
 
 
 
 
 Key Activities
 
 
 
 Operational Management
 
 <ul>
 <li>
 Lead, mentor, and develop a team of data scientists
 </li>
 <li>
 Actively participate in on-the-job training, mentoring and coaching of subordinates
 </li>
 <li>
 Provide clear direction, prioritize tasks, assign and delegate responsibility and monitor the workflow
 </li>
 <li>
 Promote a high-performance working environment embracing SANS&rsquo;s values
 </li>
 <li>
 Conduct regular performance reviews and provide coaching to team members
 </li>
 <li>
 Identify skill gaps and organize training programs to enhance team capabilities
 </li>
 <li>
 Provide recurring productivity reports on department progress and projects pipeline.
 </li>
 <li>
 Recruit, onboard, and retain top talent for the data science section
 </li>
 </ul>
 
 Budget Management
 
 <ul>
 <li>
 Develop and manage budget and supporting business cases for the data science and reporting section including ML operations infrastructure.
 </li>
 <li>
 Justify budget requests to senior leadership by demonstrating the ROI of data science and analytics initiatives.
 </li>
 <li>
 Develop and negotiate contracts with tooling, infrastructure and service providers to optimize costs and service quality
 </li>
 </ul>
 
 Stakeholder and C-Suite Communication
 
 
 
 
 <ul>
 <li>
 Generate and present regular operational and corporate performance insights and reports to senior leadership.
 </li>
 <li>
 Translate complex technical findings into actionable insights and strategic recommendations for non-technical audiences.
 </li>
 <li>
 Facilitate collaboration with IT and engineering stakeholders to ensure data science infrastructure needs are realized
 </li>
 <li>
 Build strong relationships with cross-functional teams to ensure alignment and collaboration on data-driven initiatives.
 </li>
 <li>
 Educate stakeholders on data science best practices.
 </li>
 </ul>
 <li>
 </li>
 
 Data science and ML products management
 
 <ul>
 <li>
 Conducting discovery meetings to collect, analyze, clarify and document business requirements for data science and corporate reporting.
 </li>
 <li>
 Establish and monitor value metrics encompassing the full cycle of envisaged and developed data science products
 </li>
 <li>
 Continuously identify opportunities for data science products where value can be added to the business domain.
 </li>
 <li>
 Ensure that machine learning models and analytics solutions are scalable, reliable, and aligned with business needs.
 </li>
 <li>
 Manage advanced analytics workload including A/B and multivariate experiments, design and implement exploratory analysis and insight generation, all in close collaboration with partners across the Data management directorate and business groups.
 </li>
 <li>
 Collaborate with engineering and IT teams to integrate data science products into existing systems and workflows.
 </li>
 <li>
 Oversee the analysis of corporate and operational workstreams to provide periodic descriptive reporting and on-demand Diagnosis on key observed patterns for decision making purposes.
 </li>
 <li>
 lead the development efforts for provision of descriptive, predictive and diagnostic analysis for relevant constituencies.
 </li>
 <li>
 Develop strategy and roadmap for data science products while ensuring that defined path is consistent with the enterprise vision.
 </li>
 <li>
 Lead iterative data science products development process from idealization, through the implementation stage and all the way to the launch.
 </li>
 <li>
 Develop plans for ML models features/services delivery defining business goals, timelines, and roadmaps.
 </li>
 <li>
 Partner with business functions leads to proactively explore and overcome business problems through quantitative analytics levering established data science solutions.
 </li>
 <li>
 Support corporate planning and strategy functions in researching and analyzing industry operational and data related trends and developing market diligence periodically through quantitative reports and aggregation of relevant data from premium online/offline sources.
 </li>
 <li>
 Oversee the team&rsquo;s execution of key technical activities including: Data exploration and pre-processing, statistical analysis and modeling, features engineering, models evaluation, data visualization and communication, and collaborative problem solving
 </li>
 </ul>
 
 Engineering management
 
 <ul>
 <li>
 Participate in planning and executing workload related to deploying and expanding ML models hosting platforms at the back-end and front-end service layers
 </li>
 <li>
 Lead the deployment and configuration of developed data science solutions.
 </li>
 <li>
 Oversee the ML models development workload cadence includes establishment of and sustenance of devOPS and CICD practices and cadence, while ensuring engineering standards, including version control, code reviews, and testing protocols are maintained
 </li>
 <li>
 Develop, manage, and maintain engineering plans related to data science workload; work closely with enterprise and operations engineering teams.
 </li>
 <li>
 Implement agile methodologies and project management frameworks to streamline team operations and improve delivery timelines.
 </li>
 <li>
 Manage technical debt by prioritizing refactoring, documentation, and process improvements.
 </li>
 </ul>
 
 Policies, Processes and Procedures
 
 <ul>
 <li>
 Support in monitoring day-to-day activities to ensure compliance with stipulated policies and procedures
 </li>
 <li>
 Contribute to the identification of opportunities for continuous improvement of systems and processes taking into account leading practices, changes in business environment, cost reduction and productivity improvement
 </li>
 </ul>
 
 People Management
 
 <ul>
 <li>
 Actively participate in on-the-job training, mentoring and coaching of subordinates
 </li>
 <li>
 Provide clear direction, prioritize tasks, assign and delegate responsibility and monitor the workflow
 </li>
 <li>
 Promote a high-performance working environment embracing SANS&rsquo;s values
 </li>
 </ul>
 
 
 
 
 Qualifications for Internal Candidates
 
 
 
 
 
 
 Knowledge and Experience
 
 
 <ul>
 <li>
 Minimum 6 years of experience in Data Science &amp; Reporting, preferably leading and managing teams of data scientists and data analysts and budget management, resource allocation, and vendor negotiations.
 </li>
 </ul>
 
 
 Desirable:
 
 
 <ul>
 <li>
 Referenced hands-on experience: team lead or unit manager/supervisor managing the operations and services of a data science team in a technology or engineering organization.
 </li>
 <li>
 Math / Quantitative skills: Skills with creating simulations, Erlangs theory for capacity planning, Hypothesis testing, Linear Regression, Logistic Regression, Outliers Detection, Linear Algebra with knowledge of Matrices attributes, knowledge and application of GLM (Generalized Linear Model)
 </li>
 <li>
 Strong scripting skills (e.g., Python, Bash) and knowledge of coding for creating automation scripts and integrating tools , and SQL/SPARK, JAVA/SCALA, Hadoop stack, C/C ++ for scripting/development on distributed/unstructured systems, and big data technologies such as Spark for handling and processing large datasets , and Python or PyTorch, Tensorflow, KERAS, Scikit-learn, XGBoost or similar stack for data manipulation, analysis, and data science modelling implementation.
 </li>
 <li>
 Familiarity or Ability to work with task management tools (JIRA, Microsoft Azure DevOPS boards), and Microsoft power platform , and hands on experience with popular SaaS services for database, developer and analytics (GCP, AWS or Azure)
 </li>
 </ul>
 
 
 Education and Certifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Computer Engineering, Data Science, Computer science, Cybersecurity, Statistics, Engineering or equivalent is required.
 </li>
 </ul>
 
 
</div>

Data Science and Reporting Section Head

Explore 1362+ Data analytics in Saudi Arabia this October. Find roles across top companies and apply now to boost your career.