312 Analytics Manager jobs in Saudi Arabia

JASARA PMC is in search of a dedicated Senior Reporting & Analytics Manager - Reporting to enhance our project management team. In this critical role, you will focus on the reporting aspects of project controls. Your primary responsibility will be to ensure that all project data is accurately captured and reported, providing key insights for decision-making.

Join JASARA PMC, where we pride ourselves on delivering high-quality project management services while fostering a culture of transparency, collaboration, and continuous improvement. Your expertise in reporting will contribute significantly to our commitment to excellence.

• Strong understanding of design engineering and construction phases of projects.
• Strong understanding of cost management, schedule management and planning, risk management, document control projects.
• Presenting data provided by others into a Power Bi program, maintaining the Power BI database, and excel database, analyzing data prior to production.
• Monitor and report project details to the SLT project management function, including progress, risks, and opportunities in a timely manner.
• Provides guidance, direction, and specialized assistance for the resolution of difficult project control problems.
• Analyzes, evaluates, and forecasts status against an established baseline schedule.
• Assesses the impact(s) of design or construction changes and schedule slippages.
• Develops and maintains critical path logic networks and bar charts utilizing this information.
• Collaborate with architects, engineers, and other construction specialists and make strategic decisions to achieve project goals efficiently and effectively.
• Reports status of schedule to management as well to the client.
• Understands and applies engineering, procurement, and construction terminology, concepts, and relationships.
• Customizes project control systems to meet specific project requirements.
• Accumulates historical data, such as performance experience, for use in maintaining a realistic basis for future planning and forecasting.
• May supervise and provide performance reviews for one or more lower-level Project Control Engineer/Specialists and/or support personnel.
• Performs other responsibilities associated with this position as may be appropriate.
• Perform project management duties as directed by the functional lead of the PMO.
• Review contractor submittals of daily, weekly, monthly progress reports and carryout detailed reviews of submittals for errors.
• Preparation daily, weekly and monthly progress reports and dashboards based on design and construction submittals, Identify and analyze mitigations and progress based on project baseline.
• Carry quality assurance review on all submittals and validate data prior to issue to Senior Management Team.
• Communicate project progress, challenges, and achievements to stakeholders, ensuring alignment with organizational objectives.
• Lead cross-functional PMO project teams, fostering collaboration, motivation, and high-performance outcomes.
• Develop comprehensive project plans, outlining project scope, objectives, tasks, resources, and timelines.

• Bachelor's degree in Engineering, Construction Management, or a related field.
• Minimum of 20+ years of experience in project controls, focusing on reporting and analytics.
• Requires basic engineering knowledge in electrical, mechanical, civil, Infrastructure, or a related field.
• Previous experience in a Project Management/PMO in Engineering and Construction programs.
• Proficient PC skills including proficiency in various Project Controls software and Microsoft Office Suite.
• Experience in PMIS Systems and P6.
• Strong command of the English language and the ability to write clear and concise reports and briefings tailored for executive leadership.
• Excellent interpersonal and communication skills.
• Strong analytical and critical thinking skills.

Get AI-powered advice on this job and more exclusive features.

ROLE MAIN PURPOSE: Will be responsible to provide operational expertise to execute and implement the collection, analysis, and presentation of data related to IT operations, projects, and initiatives and working closely with IT teams to gather requirements, design reporting solutions, and provide valuable insights to support strategic decision-making.

• Support to conduct the analysis of IT-related data to identify trends, patterns, and insights.
• Utilize data analytics tools and techniques to analyse complex datasets.
• Maintain data visualizations, dashboards, and reports that effectively communicate key IT metrics and performance indicators.
• Apply statistical analysis and data modelling to support decision-making.
• Collaborate with IT teams and business stakeholders to understand reporting needs and requirements.
• Implement a comprehensive reporting framework for IT-related metrics and performance indicators.
• Maintain standardized reporting templates, formats, and schedules.
• Support to automate reporting processes to improve efficiency and ensure timely delivery of reports.
• Ensure the accuracy and integrity of the data used for reporting.
• Assist in track key performance indicators (KPIs) and metrics to assess IT performance and effectiveness.
• Analyse IT service levels, system availability, incident response, and other performance indicators.
• Identify areas of improvement and propose recommendations to optimize IT operations and processes.
• Collaborate with IT teams to establish performance targets and monitor progress towards achieving them.
• Provide insights and recommendations based on data analysis to support IT decision-making.
• Support in establishing data governance policies, standards, and procedures for IT-related data.
• Ensure compliance with data privacy regulations and industry best practices.
• Collaborate with IT teams to implement data quality controls, data cleansing, and data integration processes.
• Oversee data management activities, including data integration, data warehousing, and metadata management.

• Educational Qualifications: A Bachelor’s in Computer Science, Information Technology or a related field.
• Professional And Technical Certificates: ITIL (Information Technology Infrastructure Library), Certified Data Management Professional (CDMP), BI certifications, PMP are preferable.
• Professional Experience: Minimum 5+ years’ experience as IT data and analysis.

• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).
• Knowledge with statistical analysis software packages like SPSS, SAS, or Stata for advanced statistical analysis, hypothesis testing, and predictive modelling.
• Knowledge in data visualization tools such as Tableau, Power BI, or QlikView to create dashboards and reports.
• Knowledge of DBMS platforms like Oracle, MySQL, or Microsoft SQL Server; SQL querying skills.
• Familiarity with data warehousing concepts and technologies like ETL, data integration, and dimensional modelling.
• Knowledge of cloud platforms like AWS, Azure, or GCP.

• Mid-Senior level

• Full-time

• Information Technology

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Overview

Will be responsible to provide operational expertise to execute and implement the collection, analysis, and presentation of data related to IT operations, projects, and initiatives and working closely with IT teams to gather requirements, design reporting solutions, and provide valuable insights to support strategic decision-making.

• Support to Conduct the analysis of IT-related data to identify trends, patterns, and insights.
• Utilize data analytics tools and techniques to analyse complex datasets.
• Maintain data visualizations, dashboards, and reports that effectively communicate key IT metrics and performance indicators.
• Apply statistical analysis and data modelling to support decision-making.
• Collaborate with IT teams and business stakeholders to understand reporting needs and requirements.
• Implement a comprehensive reporting framework for IT-related metrics and performance indicators.
• Maintain standardized reporting templates, formats, and schedules.
• Support to automate reporting processes to improve efficiency and ensure timely delivery of reports.
• Ensure the accuracy and integrity of the data used for reporting.
• Assist in Track key performance indicators (KPIs) and metrics to assess IT performance and effectiveness.
• Analyse IT service levels, system availability, incident response, and other performance indicators.
• Identify areas of improvement and propose recommendations to optimize IT operations and processes.
• Collaborate with IT teams to establish performance targets and monitor progress towards achieving them.
• Provide insights and recommendations based on data analysis to support IT decision-making.
• Support in establish data governance policies, standards, and procedures for IT-related data.
• Ensure compliance with data privacy regulations and industry best practices.
• Collaborate with IT teams to implement data quality controls, data cleansing, and data integration processes.
• Oversee data management activities, including data integration, data warehousing, and metadata management

A Bachelor’s in Computer Science, Information Technology or a related field.

ITIL (Information Technology Infrastructure Library), Certified Data Management Professional (CDMP), BI certifications, PMP are preferable.

Minimum 5+ years’ experience as IT data and analysis.

• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook), as these are commonly used tools in business operations.
• Knowledge with statistical analysis software packages like SPSS, SAS, or Stata to perform advanced statistical analysis, hypothesis testing, and predictive modelling.
• Knowledge in data visualization tools such as Tableau, Power BI, or QlikView to create interactive and visually appealing dashboards and reports for data analysis and presentation.
• Knowledge of DBMS platforms like Oracle, MySQL, or Microsoft SQL Server for effective data storage, retrieval, and management. Understanding of database querying languages like SQL is crucial for data analysis.
• Familiarity with data warehousing concepts and technologies like ETL (Extract, Transform, Load) processes, data integration, and dimensional modelling. This skill enables the design and management of data repositories optimized for analysis.
• Knowledge of cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Understanding how to leverage cloud-based infrastructure and services for data analysis enhances scalability and flexibility.

ROLE MAIN PURPOSE
Will be responsible to provide operational expertise to execute and implement the collection, analysis, and presentation of data related to IT operations, projects, and initiatives and working closely with IT teams to gather requirements, design reporting solutions, and provide valuable insights to support strategic decision-making.

Functional Responsibilities

• Support to Conduct the analysis of IT-related data to identify trends, patterns, and insights.
• Utilize data analytics tools and techniques to analyse complex datasets.
• Maintain data visualizations, dashboards, and reports that effectively communicate key IT metrics and performance indicators.
• Apply statistical analysis and data modelling to support decision-making.
• Collaborate with IT teams and business stakeholders to understand reporting needs and requirements.
• Implement a comprehensive reporting framework for IT-related metrics and performance indicators.
• Maintain standardized reporting templates, formats, and schedules.
• Support to automate reporting processes to improve efficiency and ensure timely delivery of reports.
• Ensure the accuracy and integrity of the data used for reporting.
• Assist in Track key performance indicators (KPIs) and metrics to assess IT performance and effectiveness.
• Analyse IT service levels, system availability, incident response, and other performance indicators.
• Identify areas of improvement and propose recommendations to optimize IT operations and processes.
• Collaborate with IT teams to establish performance targets and monitor progress towards achieving them.
• Provide insights and recommendations based on data analysis to support IT decision-making.
• Support in establish data governance policies, standards, and procedures for IT-related data.
• Ensure compliance with data privacy regulations and industry best practices.
• Collaborate with IT teams to implement data quality controls, data cleansing, and data integration processes.
• Oversee data management activities, including data integration, data warehousing, and metadata management

Educational Qualifications
A Bachelor's in Computer Science, Information Technology or a related field.

Professional And Technical Certificates
ITIL (Information Technology Infrastructure Library), Certified Data Management Professional (CDMP), BI certifications, PMP are preferable.

Professional Experience
Minimum 5+ years' experience as IT data and analysis.

Computer Skills

• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook), as these are commonly used tools in business operations.
• Knowledge with statistical analysis software packages like SPSS, SAS, or Stata to perform advanced statistical analysis, hypothesis testing, and predictive modelling.
• Knowledge in data visualization tools such as Tableau, Power BI, or QlikView to create interactive and visually appealing dashboards and reports for data analysis and presentation.
• Knowledge of DBMS platforms like Oracle, MySQL, or Microsoft SQL Server for effective data storage, retrieval, and management. Understanding of database querying languages like SQL is crucial for data analysis.
• Familiarity with data warehousing concepts and technologies like ETL (Extract, Transform, Load) processes, data integration, and dimensional modelling. This skill enables the design and management of data repositories optimized for analysis.
• Knowledge of cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Understanding how to leverage cloud-based infrastructure and services for data analysis enhances scalability and flexibility.

We are seeking a Senior Manager of Data Analytics with deep experience in data science, data warehousing and BI. This role will lead a team of data analysts and analytics engineers, shaping the direction of our data strategy and ensuring that business decisions are powered by reliable, scalable data infrastructure. You’ll be instrumental in driving data maturity across the company — balancing quick business wins with long-term architectural investments.

Responsibilities

• Lead and mentor a cross-functional team of analytics engineers, data engineers and data scientist
• Oversee the development of the data warehouse and transformation layer (e.g., dbt)
• Define the vision for how data is structured, accessed, and used across the organization, ensuring alignment with business objectives
• Partner with product, engineering, and business stakeholders to deliver impactful insights and scalable data products
• Own key initiatives such as self-serve analytics, metric standardization, and data quality frameworks
• Establish best practices for data governance, reporting, and visualization
• Drive the adoption of self-service analytics tools to democratize data access and empower stakeholders across the organization
• Build operational excellence within the data team through process improvements, best practices, and training
• Contribute to hiring and team growth by attracting and developing top data analytics talent

We are seeking a Senior Manager of Data Analytics with deep experience in data science, data warehousing and BI. This role will lead a team of data analysts and analytics engineers, shaping the direction of our data strategy and ensuring that business decisions are powered by reliable, scalable data infrastructure. You’ll be instrumental in driving data maturity across the company — balancing quick business wins with long-term architectural investments.

• Lead and mentor a cross-functional team of analytics engineers, data engineers and data scientist
• Oversee the development of the data warehouse and transformation layer (e.g., dbt)
• Define the vision for how data is structured, accessed, and used across the organization, ensuring alignment with business objectives
• Partner with product, engineering, and business stakeholders to deliver impactful insights and scalable data products
• Own key initiatives such as self-serve analytics, metric standardization, and data quality frameworks
• Establish best practices for data governance, reporting, and visualization
• Drive the adoption of self-service analytics tools to democratize data access and empower stakeholders across the organization
• Build operational excellence within the data team through process improvements, best practices, and training
• Contribute to hiring and team growth by attracting and developing top data analytics talent

Job Summary

We are seeking an Analytics & Strategy Manager to drive data-driven decision making and strategic insights across fintech and digital banking initiatives. The ideal candidate will bring 5+ years of experience in data analytics, business strategy, or financial services consulting (with at least 3 years in fintech), along with a strong foundation in financial modeling, regulatory frameworks, and market research . This role combines technical expertise in analytics with strategic problem-solving to influence key business and product decisions.

• Lead data-driven strategy development by analyzing complex financial and market datasets to identify trends, risks, and opportunities.
• Conduct financial modeling, forecasting, and market research to support product and business decisions.
• Translate analytical findings into strategic insights and actionable recommendations for senior management.
• Develop and maintain dashboards and visualization tools (Tableau, Power BI, Looker) to enable real-time business intelligence.
• Support product and strategy teams in scaling fintech and digital banking solutions across GCC markets.
• Collaborate with compliance, finance, and product leaders to ensure alignment with regulatory frameworks and business objectives .
• Evaluate the impact of new initiatives (digital payments, lending, wealth management) through KPIs and performance analytics.
• Apply AI/ML techniques in analytics (where relevant) to enhance predictive modeling and customer insights.
• Present insights and recommendations clearly to both technical and non-technical stakeholders, including executives.

• 5+ years of experience in data analytics, business strategy, or financial consulting , with at least 3 years in fintech, digital banking, or related industries .
• Strong background in data analysis, financial modeling, and market research .
• Proven ability to translate complex datasets into strategic insights and recommendations.
• Experience with data visualization tools (Tableau, Power BI, etc.).
• Proficiency in SQL, Python, or R for data analysis and modeling.
• Strong understanding of MENA/GCC financial markets and regulatory frameworks .
• Bachelor’s degree in Economics, Finance, Business, Data Science, or related field (Master’s preferred ).
• Fluency in English ; Arabic strongly preferred .

• Previous experience in venture studios, consulting, or investment banking .
• Exposure to fintech analytics (digital payments, lending, wealth management).
• Track record of supporting product or strategy teams in scaling financial products .
• Familiarity with open banking, API-first ecosystems, or digital platforms .
• Experience applying AI/ML in financial services analytics .
• Knowledge of Islamic finance principles and Shariah-compliant product development .
• MBA, CFA, or equivalent certification a strong plus.

• Proficiency with Excel, SQL, Python, R for data analytics.
• Experience with BI platforms (Tableau, Power BI, Looker).
• Knowledge of statistical modeling, forecasting, and predictive analytics .
• Familiarity with cloud-based analytics platforms (AWS, GCP, Azure).
• Understanding of financial KPIs, risk models, and regulatory compliance analytics .

• Strategic Thinking: Connect data insights to long-term business strategy.
• Analytical Excellence: Strong quantitative mindset; ability to build and interpret complex models.
• Problem-Solving: Structured approach to complex and ambiguous challenges.
• Communication Excellence: Present insights clearly to technical and non-technical audiences.
• Collaboration: Skilled at working with product, compliance, finance, and executive teams.
• Execution Focus: Deliver actionable insights under tight timelines.
• Regulatory Acumen: Strong grasp of financial and data compliance frameworks in KSA/GCC.

Job Summary

We are seeking an Analytics & Strategy Manager to drive data-driven decision making and strategic insights across fintech and digital banking initiatives. The ideal candidate will bring 5+ years of experience in data analytics, business strategy, or financial services consulting (with at least 3 years in fintech), along with a strong foundation in financial modeling, regulatory frameworks, and market research. This role combines technical expertise in analytics with strategic problem-solving to influence key business and product decisions.

• Lead data-driven strategy development by analyzing complex financial and market datasets to identify trends, risks, and opportunities.
• Conduct financial modeling, forecasting, and market research to support product and business decisions.
• Translate analytical findings into strategic insights and actionable recommendations for senior management.
• Develop and maintain dashboards and visualization tools (Tableau, Power BI, Looker) to enable real-time business intelligence.
• Support product and strategy teams in scaling fintech and digital banking solutions across GCC markets.
• Collaborate with compliance, finance, and product leaders to ensure alignment with regulatory frameworks and business objectives.
• Evaluate the impact of new initiatives (digital payments, lending, wealth management) through KPIs and performance analytics.
• Apply AI / ML techniques in analytics (where relevant) to enhance predictive modeling and customer insights.
• Present insights and recommendations clearly to both technical and non-technical stakeholders, including executives.

• 5+ years of experience in data analytics, business strategy, or financial consulting, with at least 3 years in fintech, digital banking, or related industries.
• Strong background in data analysis, financial modeling, and market research.
• Proven ability to translate complex datasets into strategic insights and recommendations.
• Experience with data visualization tools (Tableau, Power BI, etc.).
• Proficiency in SQL, Python, or R for data analysis and modeling.
• Strong understanding of MENA / GCC financial markets and regulatory frameworks.
• Bachelor’s degree in Economics, Finance, Business, Data Science, or related field (Master’s preferred).
• Fluency in English; Arabic strongly preferred.

• Previous experience in venture studios, consulting, or investment banking.
• Exposure to fintech analytics (digital payments, lending, wealth management).
• Track record of supporting product or strategy teams in scaling financial products.
• Familiarity with open banking, API-first ecosystems, or digital platforms.
• Experience applying AI / ML in financial services analytics.
• Knowledge of Islamic finance principles and Shariah-compliant product development.
• MBA, CFA, or equivalent certification a strong plus.

• Proficiency with Excel, SQL, Python, R for data analytics.
• Experience with BI platforms (Tableau, Power BI, Looker).
• Knowledge of statistical modeling, forecasting, and predictive analytics.
• Familiarity with cloud-based analytics platforms (AWS, GCP, Azure).
• Understanding of financial KPIs, risk models, and regulatory compliance analytics.

• Strategic Thinking: Connect data insights to long-term business strategy.
• Analytical Excellence: Strong quantitative mindset; ability to build and interpret complex models.
• Problem-Solving: Structured approach to complex and ambiguous challenges.
• Communication Excellence: Present insights clearly to technical and non-technical audiences.
• Collaboration: Skilled at working with product, compliance, finance, and executive teams.
• Execution Focus: Deliver actionable insights under tight timelines.
• Regulatory Acumen: Strong grasp of financial and data compliance frameworks in KSA / GCC.

Overview

We are seeking an Analytics & Strategy Manager to drive data-driven decision making and strategic insights across fintech and digital banking initiatives. The ideal candidate will bring 5+ years of experience in data analytics, business strategy, or financial services consulting (with at least 3 years in fintech), along with a strong foundation in financial modeling, regulatory frameworks, and market research . This role combines technical expertise in analytics with strategic problem-solving to influence key business and product decisions.

• Lead data-driven strategy development by analyzing complex financial and market datasets to identify trends, risks, and opportunities.
• Conduct financial modeling, forecasting, and market research to support product and business decisions.
• Translate analytical findings into strategic insights and actionable recommendations for senior management.
• Develop and maintain dashboards and visualization tools (Tableau, Power BI, Looker) to enable real-time business intelligence.
• Support product and strategy teams in scaling fintech and digital banking solutions across GCC markets.
• Collaborate with compliance, finance, and product leaders to ensure alignment with regulatory frameworks and business objectives .
• Evaluate the impact of new initiatives (digital payments, lending, wealth management) through KPIs and performance analytics.
• Apply AI/ML techniques in analytics (where relevant) to enhance predictive modeling and customer insights.
• Present insights and recommendations clearly to both technical and non-technical stakeholders, including executives.