36 Analytics Management jobs in Saudi Arabia

Ninja is seeking an experienced Business Analytics Manager
to lead our talented team of analysts and transform data into actionable insights that drive strategic business decisions. This role is crucial for optimizing business performance, identifying growth opportunities, and fostering a data-driven culture throughout the organization. The ideal candidate is a strong leader, a strategic thinker, and an expert in leveraging data to solve complex business problems.
Key Responsibilities:

• Lead, mentor, and develop a high-performing team of business analysts, fostering a culture of collaboration, innovation, and continuous learning
• Set clear goals and objectives for the team, manage performance, and provide regular feedback and coaching
• Manage the analytics project roadmap, prioritize tasks based on business impact, and ensure timely delivery of high-quality insights and reports
• Collaborate with senior leadership and department heads (e.g., Sales, Marketing, Finance, Operations - Commercial) to understand their challenges, identify key business questions, and define analytical needs
• Act as a strategic advisor to the business, translating complex data into clear, actionable recommendations for senior management
• Develop and execute a comprehensive business analytics strategy that aligns with the company's overall objectives
• Oversee the design and execution of complex analyses to uncover trends, patterns, and insights regarding customer behavior, market dynamics, operational efficiency, and financial performance.
• Develop, monitor, and maintain Key Performance Indicators (KPIs) and business dashboards to track performance against strategic goals
• Champion advanced analytical techniques, including segmentation, forecasting, A/B testing, and predictive modeling, to answer critical business questions
• Standardize and automate reporting processes to ensure consistency, accuracy, and efficiency
• Create and present compelling data narratives and visualizations to communicate findings and influence decisions across all levels of the organization, including executive leadership
• Ensure that insights are presented in a clear, concise, and visually appealing manner
• Partner with Data Engineering and IT teams to ensure data integrity, improve data models, and enhance the data infrastructure to support analytical needs
• Promote data literacy and best practices for data usage across the company
• Evaluate and recommend new tools and technologies to improve the team's capabilities and efficiency
• To Build Robust Data Infrastructure to to enable near real time reporting

Requirements

• Bachelor's degree in Business, Economics, Statistics, Computer Science, Engineering, or another quantitative field
• Master's degree (MBA or M.S. in Analytics, Data Science, or a related field)
• 5+ years of experience in business analytics, data analysis, or related roles, with at least 2 years in a managerial position
• Proficiency in analytics tools and platforms such as SQL, R, Python, Tableau, or Power BI
• Strong analytical and quantitative skills with a proven track record of data-driven decision-making
• Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders
• Strong leadership and team management capabilities
• Experience in the e-commerce or tech industry is a plus
• Experience with a statistical programming language such as Python (Pandas, Scikit-learn) or R
• Familiarity with cloud data platforms (e.g., AWS, Google Cloud Platform, Azure) and modern data stack tools
• Experience in (Specify Industry, e.g., E-commerce, SaaS, Finance, Healthcare)
• Proven track record of influencing business outcomes through data-driven insights

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’ve got what you’re looking for.

Job Description:

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:

• 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).

• 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.

• Build and maintain visualization dashboards and tools (e.g., using Tableau, Power BI) to present complex transportation data in actionable formats for stakeholders.

• 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.

• Ensure data quality, reliability, and compliance through validation frameworks, anomaly detection, and integration with transportation-specific standards.

• Collaborate with traffic engineers, ITS specialists, and project stakeholders to translate data insights into operational improvements and policy recommendations.

• Mentor team members on analytics best practices and contribute to continuous improvement in data handling and analysis methodologies.

What Required Skills You'll Bring:

• Bachelor's or Master’s degree in Data Science, Computer Science, Transportation Engineering, or a related field.

• 10+ years of experience in transportation data analytics, data management, or related fields.

• Expertise in big data processing technologies (e.g., Hadoop, Spark) and visualization tools (e.g., Tableau, Power BI).

• Proficiency in statistical analysis, Python/R for data modeling, and SQL for querying large datasets.

• Experience implementing data-driven traffic optimization solutions, including predictive analytics and simulation-based insights.

• Strong problem-solving skills and ability to work independently in a fast-paced environment.

What Desired Skills You'll Bring:

• Experience with transportation-specific tools (e.g., SYNCHRO, VISSIM for traffic simulation integration) and real-time data processing (e.g., Kafka, Spark Streaming).

• Familiarity with data governance, security, and compliance in public sector transportation projects.

• Certifications in data analytics (e.g., Google Data Analytics, Microsoft Certified: Azure Data Scientist) or transportation-related fields.

We truly invest and care about our employee’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—APPLY TODAY!

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Data Analytics Manager (Manufacturing & Business Intelligence)

We're Hiring at ALIF Industrial Company

Are you passionate about transforming complex data into real business impact?

Do you thrive in an environment where your insights directly shape production, cost efficiency, and strategic decisions?

ALIF Industrial Company, a leading Saudi manufacturer of fasteners, wire products, and building materials, is seeking a Data Analytics Manager (Manufacturing & Business Intelligence) to join our growing team in Jeddah, KSA.

In this role, you'll:

Build and lead the company's data-analytics ecosystem — from Epicor ERP to Power BI dashboards.

Integrate data across production, costing, logistics, and finance to support smarter, faster decisions.

Develop and automate KPI dashboards for factory performance, material yield, and profitability.

Partner with the CEO to bring data-driven visibility to every part of ALIF's operations.

What We're Looking For:

6–10 years' experience in data analytics or BI, preferably in manufacturing or industrial environments

Strong command of SQL, Power BI, Python/R, and Excel

Experience with ERP systems (Epicor preferred)

Ability to translate data into actionable insights that drive measurable results

If you are a hands-on, detail-oriented analyst ready to lead the data transformation of a fast-growing Saudi industrial group, we'd love to meet you.

Location: Jeddah, Saudi Arabia

Title: Data Analytics Manager / Senior Data Analyst

Apply by sending your CV to: (Insert ALIF HR email or HR contact link)

Let's build the future of industrial intelligence — together.

About Madar:
Madar is a leading SaaS company dedicated to helping businesses operate smarter and faster. Owned by Obeikan Investment Group, with 30% of shares held by Elm Co, Madar provides innovative, cloud-based software solutions that optimize workflows, enhance operational efficiency, and drive measurable business growth. With a strong focus on logistics and enterprise operations, Madar empowers organizations to leverage data as a strategic asset, enabling informed decision-making at every level. Our culture is built on innovation, collaboration, and continuous learning, making us a trusted partner for companies looking to scale efficiently.

Key Responsibilities:

• Develop and implement data strategies to support Madar's business objectives
• Design, maintain, and optimize dashboards, KPIs, and reporting systems for leadership and operational teams
• Analyze complex datasets to extract actionable insights and inform strategic decision-making
• Collaborate closely with product, sales, and operations teams to deliver data-driven solutions
• Identify opportunities to leverage advanced analytics, AI, and predictive modeling to create business value
• Ensure data governance, quality, and compliance across all analytics initiatives

Requirements

• Education: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field; Master's degree preferred
• Experience: 8-12 years of relevant professional experience in data analytics or business intelligence; ideally within the logistics, transportation, or a related sector
• Technical Skills: Proficient in data visualization tools (e.g., Tableau, Power BI), statistical programming languages (e.g., R, Python), and data management software (e.g., SQL, Excel)
• Strong experience in using advanced analytics techniques, such as predictive modeling, and machine learning, to provide actionable insights
• Business Acumen: Adequate understanding of logistics and supply chain operations, with the ability to connect data analysis with business outcomes
• Problem-solving skills and proven ability to develop creative solutions based on data-driven insights
• Experience in communication and presentation of complex analytical findings to non-technical audiences
• Experience in project management, with a capacity to prioritize tasks and manage timelines effectively
• Fluency in both Arabic and English, with excellent written and verbal communication skills

Location: Riyadh, second industrial city, Kharj Rd.

About Madar:

Madar is a leading SaaS company dedicated to helping businesses operate smarter and faster. Owned by Obeikan Investment Group, with 30% of shares held by Elm Co, Madar provides innovative, cloud-based software solutions that optimize workflows, enhance operational efficiency, and drive measurable business growth. With a strong focus on logistics and enterprise operations, Madar empowers organizations to leverage data as a strategic asset, enabling informed decision-making at every level. Our culture is built on innovation, collaboration, and continuous learning, making us a trusted partner for companies looking to scale efficiently.

Key Responsibilities:

• Develop and implement data strategies to support Madar's business objectives.
• Design, maintain, and optimize dashboards, KPIs, and reporting systems for leadership and operational teams.
• Analyze complex datasets to extract actionable insights and inform strategic decision-making.
• Collaborate closely with product, sales, and operations teams to deliver data-driven solutions.
• Identify opportunities to leverage advanced analytics, AI, and predictive modeling to create business value.
• Ensure data governance, quality, and compliance across all analytics initiatives.

• Education: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field; Master's degree preferred.
• Experience: 8-12 years of relevant professional experience in data analytics or business intelligence; ideally within the logistics, transportation, or a related sector.
• Technical Skills: Proficient in data visualization tools (e.g., Tableau, Power BI), statistical programming languages (e.g., R, Python), and data management software (e.g., SQL, Excel).
• Strong experience in using advanced analytics techniques, such as predictive modeling, and machine learning, to provide actionable insights.
• Business Acumen: Adequate understanding of logistics and supply chain operations, with the ability to connect data analysis with business outcomes.
• Problem-solving skills and proven ability to develop creative solutions based on data-driven insights.
• Experience in communication and presentation of complex analytical findings to non-technical audiences.
• Experience in project management, with a capacity to prioritize tasks and manage timelines effectively.
• Fluency in both Arabic and English, with excellent written and verbal communication skills.

Location: Riyadh, second industrial city, Kharj Rd.

Key Responsibilities

• Leadership and Team Management:
• Lead, mentor, and develop a team of data analysts, fostering a high-performance culture.
• Set clear performance expectations, provide regular feedback, and conduct performance appraisals.
• Ensure continuous professional development of the D&A team.
• Support the Transition to Localized Systems:
• Support the migration of data-dependent processes and business reporting to new local systems, ensuring a smooth transition and minimal disruption.
• Data Architecture, Governance and Management:
• Design and maintain conceptual and logical data models aligned with enterprise architecture standards.
• Ensure data structures support regulatory, operational, and analytical reporting needs.
• Implement and maintain data governance and management strategies to ensure data quality and consistency.
• Data Extraction and Reconciliation:
• Oversee the extraction and reconciliation of data from various systems to ensure its availability and accuracy for key functions including actuarial, underwriting and finance.
• Reporting Support:
• Develop and maintain reporting capabilities required by various functions, including Compliance, Operations, Sales and Client Management, ensuring timely and accurate reporting.
• Lead the development of automated reporting pipelines using enterprise BI tools.
• Drive the transition from manual to automated reporting processes, ensuring data quality and reconciliation with source systems.
• Collaboration:
• Collaborate with IT and business stakeholders to define data integration and transformation requirements.
• Work closely with various departments, Operations and Customer Service, to ensure data needs are met and to support the development of analytics solutions.
• Innovation and Improvement:
• Identify opportunities to leverage new tools and technologies to enhance data management and reporting processes.

Qualifications and Experience:

• Undergraduate qualification in Mathematics, Data Science, Actuarial Science, or a related field
• Minimum of 6-10 years of Data & Analytics experience, preferably within the Saudi Arabian medical insurance industry, with at least 3-5 years in a management role

Personal Profile:

• Experience:

6+ years of experience in data and analytics, with a strong background in data extraction, reconciliation, and reporting.

• Technical Skills:

Proficiency in analytic platforms and business intelligence software such as Alteryx, Tableau, Power BI, Qlik, SQL, Python, and/or R.

• Analytical Skills:

Strong analytical capabilities with experience in building and implementing data models, business dashboards, and reports.

• Communication Skills:

Excellent verbal and written communication skills, with the ability to present complex data insights to various stakeholders.

• Collaboration:

Proven ability to work collaboratively with cross-functional teams.

• Adaptability:

Ability to adapt to a fast-paced and dynamic environment, with a strong focus on continuous improvement and innovation.

Overview

Cigna Worldwide Insurance Company, KSA, is looking to appoint a Data & Analytics Manager based in Riyadh to support the development of the local D&A function.

As the Data & Analytics Manager, you will be responsible for supervision of the local D&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

• Leadership and Team Management:
• Lead, mentor, and develop a team of data analysts, fostering a high-performance culture.
• Set clear performance expectations, provide regular feedback, and conduct performance appraisals.
• Ensure continuous professional development of the D&A team.
• Support the Transition to Localized Systems:
• Support the migration of data-dependent processes and business reporting to new local systems, ensuring a smooth transition and minimal disruption.
• Data Architecture, Governance and Management:
• Design and maintain conceptual and logical data models aligned with enterprise architecture standards.
• Ensure data structures support regulatory, operational, and analytical reporting needs.
• Implement and maintain data governance and management strategies to ensure data quality and consistency.
• Data Extraction and Reconciliation:
• Oversee the extraction and reconciliation of data from various systems to ensure its availability and accuracy for key functions including actuarial, underwriting and finance.
• Reporting Support:
• Develop and maintain reporting capabilities required by various functions, including Compliance, Operations, Sales and Client Management, ensuring timely and accurate reporting.
• Lead the development of automated reporting pipelines using enterprise BI tools.
• Drive the transition from manual to automated reporting processes, ensuring data quality and reconciliation with source systems.
• Collaboration:
• Collaborate with IT and business stakeholders to define data integration and transformation requirements.
• Work closely with various departments, Operations and Customer Service, to ensure data needs are met and to support the development of analytics solutions.
• Innovation and Improvement:
• Identify opportunities to leverage new tools and technologies to enhance data management and reporting processes.

Target Profiles & Capabilities

Qualifications and Experience:

• Undergraduate qualification in Mathematics, Data Science, Actuarial Science, or a related field
• Minimum of 6-10 years of Data & Analytics experience, preferably within the Saudi Arabian medical insurance industry, with at least 3-5 years in a management role

Personal Profile:

• Experience:

6+ years of experience in data and analytics, with a strong background in data extraction, reconciliation, and reporting.

• Technical Skills:

Proficiency in analytic platforms and business intelligence software such as Alteryx, Tableau, Power BI, Qlik, SQL, Python, and/or R.

• Analytical Skills:

Strong analytical capabilities with experience in building and implementing data models, business dashboards, and reports.

• Communication Skills:

Excellent verbal and written communication skills, with the ability to present complex data insights to various stakeholders.

• Collaboration:

Proven ability to work collaboratively with cross-functional teams.

• Adaptability:

Ability to adapt to a fast-paced and dynamic environment, with a strong focus on continuous improvement and innovation.

Confidential, unpublished property of Cigna Healthcare. Do not duplicate or distribute. Use and distribution limited solely to authorized personnel Cigna Healthcare

About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we'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: for support. Do not email for an update on your application or to provide your resume as you will not receive a response.