30 Data Analysis jobs in Riyadh

Overview

Master-Works is seeking a forward-thinking Data Analytics professional to join our talented team. In this role, you will be responsible for analyzing complex data sets to uncover valuable insights that drive business strategies and operational improvements. Your expertise in data analysis will play a vital role in enhancing our data-driven culture and informing decision-making processes across the organization.

Responsibilities

• Collect, clean, and analyze data from various sources to identify trends and patterns


• Develop and implement analytical models to evaluate business performance


• Create comprehensive reports and dashboards that summarize findings and insights for stakeholders


• Work closely with teams to determine data needs and provide analytical solutions


• Use statistical methods to derive insights and predict future trends


• Ensure the accuracy and integrity of data through rigorous validation and quality checks


• Communicate analytical results effectively to both technical and non-technical audiences

Qualifications

• Bachelor's degree in Data Science, Mathematics, Business Analytics, or a related field


• 2+ years of experience in data analysis or analytics


• Proficient in SQL and data visualization tools such as Tableau or Power BI


• Strong understanding of statistical analysis and experience with data modeling


• Excellent analytical and problem-solving skills


• Strong communication skills, with the ability to explain complex data concepts to diverse audiences


• A detail-oriented professional with a passion for data-driven decision making

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 Overview:
**Role Purpose**
- The purpose of the role is to define and develop Enterprise DataStructure along with Data Warehouse, Master Data, Integration andtransaction processing with maintaining and strengthening the modellingstandards and business information_

**Do**
- **
Define and Develop Data Architecture that aids organizationand clients in new/ existing deals**
- _Partnering with business leadership (adopting therationalization of the data value chain) to provide strategic,information-based recommendations to maximize the value of data andinformation assets, and protect the organization from disruptions whilealso embracing innovation_
- _ Assess the benefits and risks of data by using tools such asbusiness capability models to create an data-centric view to quicklyvisualize what data matters most to the organization, based on thedefined business strategy_
- _ Create data strategy and road maps for the Reference DataArchitecture as required by the clients_
- _ Engage all the stakeholders to implement data governance modelsand ensure that the implementation is done based on every change request_
- _ Ensure that the data storage and database technologies aresupported by the data management and infrastructure of the enterprise_
- _ Develop, communicate, support and monitor compliance with DataModelling standards_
- _ Oversee and monitor all frameworks to manage data acrossorganization_
- _ Provide insights for database storage and platform for ease ofuse and least manual work_
- _ Collaborate with vendors to ensure integrity, objectives andsystem configuration_
- _ Collaborate with functional & technical teams and clients tounderstand the implications of data architecture and maximize the valueof information across the organization_
- _ Presenting data repository, objects, source systems along withdata scenarios for the front end and back end usage_
- _ Knowledge of all the Data service provider platforms and ensureend to end view. _
- _Oversight all the data standards/ reference/ papers for propergovernance_
- _ Promote, guard and guide the organization towards commonsemantics and the proper use of metadata_
- _ Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout anorganization to ensure a common understanding, consistency, accuracy andcontrol _
- _Provide solution of RFP’s received from clients and ensureoverall implementation assurance_
- Develop a direction to manage the portfolio of all the databasesincluding systems, shared infrastructure services in order to bettermatch business outcome objectives
- Analyse technology environment, enterprise specifics, clientrequirements to set a collaboration solution for the big/small data
- Provide technical leadership to the implementation of customsolutions through thoughtful use of modern technology
- Define and understand current issues and problems and identifyimprovements
- Evaluate and recommend solutions to integrate with overalltechnology ecosystem keeping consistency throughout
- Understand the root cause problem in integrating business andproduct units
- Validate the solution/ prototype from technology, cost structure andcustomer differentiation point of view
- Collaborating with sales and delivery leadership teams to identifyfuture needs and requirements
- **
Building enterprise technology environment for dataarchitecture management**
- _ Develop, maintain and implement standard patterns for datalayers, data stores, data hub & lake and data management processes_
- _ Evaluate all the implemented systems to determine theirviability in terms of cost effectiveness_
- _ Collect all the structural and non-structural data fromdifferent places integrate all the data in one database form _
- _Work through every stage of data processing: analysing,creating, physical data model designs, solutions and reports_
- _ Build the enterprise conceptual and logical data models foranalytics, operational and data mart structures in accordance withindustry best practices_
- _ Implement the best security practices across all the data basesbased on the accessibility and technology_
- _ Strong understanding of activities within primary disciplinesuch as Master Data Management (MDM), Metadata Management and DataGovernance (DG) _
- _Demonstrate strong experience in Conceptual, Logical andphysical database architectures, design patterns, best practices andprogramming techniques around relational data modelling and dataintegration_
- **
Enable Delivery Teams by providing optimal deliverysolutions/ frameworks**
- _ Build and maintain relationships with delivery and practiceleadership teams and other key stakeholders to become a trusted advisor_
- _ Define database physical structure, functional capabilities,security, back-up and recovery specifications_
- _ Develops and establishes relevant technical, business processand overall support metrics (KPI/SLA) to drive results_
- _ Monitor system capabilities and

As the Team Leader – Data Analytics at Riyadh Development Company, you will play a pivotal role in advancing the company’s data-driven performance culture. The position is responsible for developing, maintaining, and optimizing Power BI dashboards and analytical reports that support strategic and operational decision-making across departments. You will ensure that data insights are accurate, timely, and aligned with corporate objectives, while promoting best practices in data governance and analytics.

Overview Key Responsibilities

• Data Analytics & Reporting: Develop, manage, and optimize Power BI dashboards, reports, and scorecards that track performance across functions.
• Automate recurring reports to improve efficiency and reduce manual workloads.
• Consolidate and validate data inputs from internal departments to ensure accuracy and completeness.
• Conduct basic trend and variance analyses to support planning, forecasting, and business reviews.
• Present data-driven insights to management through clear visual storytelling and structured reporting.

Strategic Contribution

• Support the alignment of corporate dashboards and KPI frameworks with the company’s strategic objectives.
• Assist in preparing Business Requirement Documents (BRDs) for business initiatives, ensuring data integrity and accuracy.
• Contribute to the continuous enhancement of data analytics tools and methodologies to improve reporting precision and relevance.
• Uphold data governance principles, ensuring consistency, security, and compliance with corporate policies.
• Maintain standardized KPIs, data definitions, and reporting methodologies across business units.
• Collaborate with IT and cybersecurity teams to ensure data protection and reliable data flow.

Performance Monitoring

• Track corporate and departmental performance metrics, highlighting variances and root causes.
• Support management in preparing data reports for Executive, NRC, and Board presentations.
• Recommend performance improvement opportunities based on data insights.

Collaboration & Stakeholder Support

• Serve as the focal point for Power BI usage and reporting within the company.
• Partner with internal stakeholders to tailor dashboards that address specific departmental needs.
• Provide first-line support and training to users on Power BI dashboards and data visualization best practices.
• Escalate complex data requests to the Head of Strategy and Business Development.

Education & Experience

• Education: Bachelor’s degree in Business, Data Analytics, Computer Science, or a related field (required).
• Experience: 5+ years of experience in data analytics, business intelligence, or reporting, with at least 2 years in Power BI development.
• Strong proficiency in Power BI, Excel, and DAX/SQL.
• Demonstrated experience building and maintaining dashboards and KPI reports for business functions.
• Familiarity with data governance frameworks and performance management processes.
• Excellent analytical, problem-solving, and communication skills.

Core Competencies

• Analytical Thinking & Data Interpretation
• Data Visualization & Storytelling
• Business Acumen in Analytics
• Collaboration & Stakeholder Engagement
• Accuracy, Diligence, and Attention to Detail

Working at Riyadh Development Company

Riyadh Development Company is committed to driving economic diversification and urban transformation in alignment with the Kingdom’s strategic vision. Our people are central to our success, empowered by a leadership team that fosters transparency, trust, and accountability. We offer a dynamic environment where professionals contribute to pioneering projects that shape the future of real estate and infrastructure. Our focus is on enabling our people to thrive in an environment that encourages collaboration, innovation, and meaningful contributions to projects that shape the Kingdom’s future.

Seniority level

Associate

Employment type

Full-time

Job function

Analyst and Strategy/Planning

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Overview

Our Client is hiring a skilled Data Analytics Specialist (Incorta) to join their team in KSA (Onsite). The ideal candidate will be proficient in leveraging Incorta to transform raw data into strategic insights that support business decisions.

Position

Data Analytics Specialist_ Incorta

Location: Onsite Saudi Arabia

Duration: Contract

Responsibilities

• Design, build, and maintain dashboards and reports using Incorta

• Work closely with business teams to understand data requirements

• Develop data models and pipelines to support analytics needs

• Perform data analysis and present actionable insights to stakeholders

• Troubleshoot and optimize existing reports and dashboards

• Ensure data accuracy, consistency, and availability for end-users

Must-Have Qualifications

• Proven experience with Incorta platform (designing and developing dashboards and schemas)

• Strong skills in data modeling , ETL , and SQL

• Experience working with large datasets and complex data environments

• Strong understanding of business KPIs and analytics reporting

• Excellent communication and problem-solving skills

Nice to Have

• Experience with cloud platforms (e.g., Azure, AWS)

• Familiarity with other BI tools (e.g., Power BI, Tableau)

• Background in financial , retail , or logistics sectors

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Responsibilities

• Collaborate with senior leadership to define AI strategies and business objectives.


• Lead the design, development, and deployment of AI solutions tailored to client needs, ensuring business impact and ROI.


• Provide strategic guidance on AI adoption, aligning initiatives with industry trends, regulatory requirements, and best practices.


• Drive AI transformation by identifying opportunities for AI integration within client operations, processes, and technology ecosystems.


• Oversee project delivery, managing timelines, budgets, resources, and risk mitigation strategies to ensure successful execution.


• Lead and mentor a team of AI professionals, fostering a culture of innovation, collaboration, and continuous learning.


• Engage with internal and external stakeholders, including data scientists, engineers, and business leaders, to refine AI models and methodologies.


• Conduct in-depth assessments of AI solutions to measure effectiveness and optimize performance.


• Stay ahead of emerging AI technologies, industry developments, and regulatory changes to inform project strategies.


• Lead business development efforts, identifying new opportunities, expanding client relationships, and contributing to AI thought leadership.


• Develop proposals, presentations, and prototypes to showcase AI capabilities and drive client engagement.


• Represent the firm at industry events, conferences, and executive briefings to promote AI expertise and expand market presence.

Qualifications & Experience

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


• 12+ years of experience in AI, data science, or a related field, with a proven track record in a consulting or corporate leadership role.


• Expertise in AI technologies, including machine learning, natural language processing, computer vision, and generative AI.


• Strong leadership and project management experience, with the ability to oversee multiple engagements simultaneously.


• Demonstrated success in delivering AI-driven business transformations in industries such as financial services, technology, or government.


• Strong stakeholder management and communication skills, with the ability to present complex AI concepts to non-technical audiences.


• Experience working within Agile methodologies for AI and product development.

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Responsibilities

• Collaborate with senior leadership to define AI strategies and business objectives.


• Lead the design, development, and deployment of AI solutions tailored to client needs, ensuring business impact and ROI.


• Provide strategic guidance on AI adoption, aligning initiatives with industry trends, regulatory requirements, and best practices.


• Drive AI transformation by identifying opportunities for AI integration within client operations, processes, and technology ecosystems.


• Oversee project delivery, managing timelines, budgets, resources, and risk mitigation strategies to ensure successful execution.


• Lead and mentor a team of AI professionals, fostering a culture of innovation, collaboration, and continuous learning.


• Engage with internal and external stakeholders, including data scientists, engineers, and business leaders, to refine AI models and methodologies.


• Conduct in-depth assessments of AI solutions to measure effectiveness and optimize performance.


• Stay ahead of emerging AI technologies, industry developments, and regulatory changes to inform project strategies.


• Lead business development efforts, identifying new opportunities, expanding client relationships, and contributing to AI thought leadership.


• Develop proposals, presentations, and prototypes to showcase AI capabilities and drive client engagement.


• Represent the firm at industry events, conferences, and executive briefings to promote AI expertise and expand market presence.

Qualifications & Experience

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.


• 12+ years of experience in AI, data science, or a related field, with a proven track record in a consulting or corporate leadership role.


• Expertise in AI technologies, including machine learning, natural language processing, computer vision, and generative AI.


• Strong leadership and project management experience, with the ability to oversee multiple engagements simultaneously.


• Demonstrated success in delivering AI-driven business transformations in industries such as financial services, technology, or government.


• Strong stakeholder management and communication skills, with the ability to present complex AI concepts to non-technical audiences.


• Experience working within Agile methodologies for AI and product development.

Overview

Support the Motor Pricing & Data Analytics function by performing actuarial and data analysis, developing pricing models, and delivering insights that drive data-based decisions and improve business performance.

Responsibilities

• Apply statistical and actuarial techniques (GLM, frequency–severity, machine learning where relevant) to build/improve pricing sophistication.
• Conduct reserving analysis and profitability studies.
• Perform actuarial analyses to monitor technical rate adequacy, loss ratios, and portfolio performance.
• Developing and implementing data analysis, data collection systems and other strategies that optimize statistical efficiency and quality.
• Deliver actionable insights through dashboards, reports, and analytical tools to support business decisions.
• Collaborate with underwriting, claims, and finance teams to align pricing strategies with business needs.
• Responsible for complying with cyber security policy, standards and procedures.
• Collect related information and maintain databases of actual/ perceived price benchmark positioning by customers to support pricing action plans.
• 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.
• Analyze market data and make recommendations on the revision of pricing to maintain alignment with the marketplace.

Qualifications

• Bachelor’s degree in actuarial and financial mathematics.
• 2-3 years of experience.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Business Development

Industries

• Insurance

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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’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

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 — especially in the transformative world of Data & Analytics. We 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. This is your opportunity if you’re looking for work that challenges and inspires every single day. A typical day at Accenture Data & Analytics Solution Architecture doesn’t exist — and that’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 & Analytics with us.

Responsibilities

• As a Senior Manager in our Data & Analytics Solution Architecture team, you will:
• Design and deliver market-relevant, scalable, and high-impact solutions for clients in areas such as:
• Data Warehousing
• Cloud Analytics
• Artificial Intelligence & Machine Learning
• ML-Ops
• Data Governance
• Master Data Management
• And more.
• Translate complex business and technical requirements into future-proof application and technical architectures.
• Develop end-to-end solution concepts, including architecture vision, delivery organization, and operational models.
• Serve as a trusted advisor to clients and internal teams by bringing deep technical expertise and strategic insight.
• Support our sales and business development teams by contributing to solutioning, proposal writing, and client presentations.
• Utilize state-of-the-art methodologies and tools in developing solution architectures (e.g., Agile, DevOps, cloud-native services, data pipelines).

Basic Qualifications

• Minimum of 15 years of relevant industry experience with hands-on project delivery in Data & Analytics domains.
• Proven experience as a technical architect or solution architect in areas such as:
• Data integration
• Analytics & reporting
• Data science and machine learning
• Data management and governance
• System and enterprise architecture design
• Strong understanding of modern software development methodologies, including:
• Agile frameworks (Scrum, Kanban)
• Waterfall
• DevOps practices
• A degree in (Business) Informatics, Mathematics, Engineering, or other STEM disciplines – or an equivalent qualification.
• Ability to lead multi-disciplinary teams and engage with C-level stakeholders confidently.
• Strong communication, stakeholder management, and leadership skills.

Why join us?

• We offer a transparent, fast paced approach career progression, with a focus on your strengths and continuous coaching from senior colleagues.
• You will benefit from working alongside Accenture experts who are solving some of the biggest industry challenges with innovative thinking and pioneering tools.
• Flexible work arrangements and a range of benefits including competitive rewards.
• 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.
• You will also have opportunities to make a difference to the communities in which we work and live.

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

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Business Consulting and Services

King Fahd District, Riyadh, Saudi Arabia

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