[ksa] data & ai – senior consultant / associate manager

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senior data engineer

[ksa] data & ai – senior consultant / associate manager Jobs in Riyadh

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account management specialist

4261- data engineer

data analytics specialist

Maaden

<div>
 
 Job Purpose
 
 
 
 
 JOB DESCRIPTION
 
 
 
 <ul>
 <li>
 The Lead Specialist, Data Science &amp; Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across Maaden.
 </li>
 <li>
 The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
 </li>
 <li>
 Lead Specialist, Data Science &amp; Analytics is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions. With nearly every industry leaning on data today, the demand for skilled professionals continues to grow
 
 
 </li>
 </ul>
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 Lead End-to-End Data Science Delivery
 </li>
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 Developing, implementing and maintaining databases and data collection systems
 </li>
 <li>
 Own the full lifecycle of ML/AI initiatives - from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
 </li>
 <li>
 Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
 </li>
 <li>
 Performing statistical analysis to understand and interpret data insights
 </li>
 <li>
 Applying data mining techniques to identify patterns, trends, and relationships in large datasets
 </li>
 <li>
 Building predictive models and machine learning algorithms to forecast future outcomes
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 <li>
 Creating clear data visualizations and reports to communicate findings to stakeholders
 </li>
 <li>
 Working with cross-functional teams to understand business needs and provide data-driven solutions
 </li>
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 Design and maintain reliable data pipelines and models in partnership with data engineering to ensure data is accurate, timely, and trustworthy for downstream use
 </li>
 <li>
 Ensuring data security and compliance with relevant regulations
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 <li>
 Drive experimentation, model versioning, automated retraining, and continuous improvement.
 </li>
 <li>
 Translate Business Needs into AI/Analytics Solutions
 </li>
 <li>
 Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
 </li>
 <li>
 Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
 </li>
 <li>
 Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams.
 </li>
 <li>
 Industrialize AI/ML Models (ML Ops &amp; Architecture)
 </li>
 <li>
 Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
 </li>
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 Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.
 </li>
 <li>
 Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins
 </li>
 <li>
 Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements
 </li>
 <li>
 Responsible AI, Quality &amp; Governance
 </li>
 <li>
 Ensure compliance with Maaden&rsquo;s Responsible AI, data quality, and data governance frameworks.
 </li>
 <li>
 Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets.
 </li>
 <li>
 Ensure transparency, explainability, and continuous model governance across production and enterprise environments
 </li>
 <li>
 Stakeholder Management &amp; Value Realization
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 <li>
 Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.
 </li>
 <li>
 Track value realization, adoption metrics, and operational impact to ensure measurable benefit.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 
 Minimum Qualification, Experience and Core Competencies:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.
 
 
 </li>
 </ul>
 
 Minimum Experience
 
 
 
 Good to Have Capabilities
 
 
 <ul>
 <li>
 Minimum Experience:
 </li>
 <li>
 6+ years&rsquo; experience in Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments preferred. Including at least 2 years leading or mentoring analytics professionals
 </li>
 <li>
 Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
 </li>
 <li>
 Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS) &ndash; Microsoft AI Factory
 </li>
 <li>
 Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.
 </li>
 <li>
 Machine Learning &amp; Advanced Analytics
 </li>
 <ul>
 <li>
 Hands-on experience developing and deploying machine learning models, including time-series forecasting, predictive modeling, and optimization use cases
 </li>
 <li>
 Strong understanding of model performance, validation, stability, and business impact
 </li>
 </ul>
 <li>
 Generative AI &amp; AI Agents
 </li>
 <ul>
 <li>
 Practical experience with Generative AI solutions, including copilots, intelligent automation, and agent-based workflows
 </li>
 <li>
 Ability to embed GenAI capabilities into enterprise processes to improve decision-making and operational efficiency
 
 
 </li>
 </ul>
 </ul>
 Preferred Experience &amp; Platforms
 
 
 <ul>
 <li>
 Data Engineering (IT + OT)
 </li>
 <li>
 Experience designing and maintaining data pipelines across IT and OT environments
 </li>
 <li>
 Exposure to sensor data, streaming / real-time data processing, and industrial data sources
 </li>
 <li>
 Ability to collaborate with data engineering teams to ensure reliable, timely, and trusted data flows
 </li>
 <li>
 MLOps / AgentOps
 </li>
 <li>
 Experience in model deployment and lifecycle management, including:
 </li>
 <ul>
 <li>
 Transition from model development to production and scale
 </li>
 <li>
 Monitoring, retraining, versioning, and drift management
 </li>
 </ul>
 <li>
 Familiarity with automation and operationalization of ML/AI workloads
 </li>
 </ul>
 <ul>
 <li>
 Cloud &amp; Analytics Platforms
 </li>
 <li>
 Experience working with enterprise cloud platforms, preferably:
 </li>
 <ul>
 <li>
 Microsoft Azure Data Platform
 </li>
 <li>
 Databricks AI Platform
 </li>
 <li>
 Microsoft AI Foundry / Microsoft AI Factory
 </li>
 </ul>
 <li>
 Understanding of cloud-native architectures for scalable analytics and AI solutions
 
 </li>
 </ul>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 Model Accuracy &amp; Reliability: Performance, drift stability, and operational uptime.
 </li>
 <li>
 Adoption &amp; Business Impact: Value realized, user adoption, integration success.
 </li>
 <li>
 Delivery Velocity: Timeliness of development cycles and deployment readiness.
 </li>
 <li>
 Compliance &amp; Quality: Alignment with Responsible AI, governance, and documentation standards.
 </li>
 </ul>
</div>

Lead Specialist, Data Science & Analytics II

Confidential Government

<div>
 
 
 Job Summary:
 
 
 
 The data Analyst is responsible for analyzing organizational data, monitoring KPIs and performance metrics, developing interactive Power BI dashboards, and supporting executive management with data-driven insights. The role also contributes to risk management activities, business analysis, and continuous performance improvement initiatives across the organization.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Monitor, analyze, and report on organizational KPIs and performance metrics.
 </li>
 <li>
 Support the development and implementation of performance measurement frameworks.
 </li>
 <li>
 Track business performance against strategic objectives and identify improvement opportunities.
 </li>
 </ul>
 
 
 
 
 
 Power BI &amp; Dashboards:
 
 
 <ul>
 <li>
 Design, develop, and maintain interactive Power BI dashboards and reports.
 </li>
 <li>
 Build automated reporting solutions and data visualizations.
 </li>
 <li>
 Ensure data accuracy, consistency, and usability across dashboards.
 </li>
 </ul>
 
 
 
 
 
 Data Analysis:
 
 
 <ul>
 <li>
 Collect, clean, validate, and analyze data from multiple sources.
 </li>
 <li>
 Identify trends, patterns, and business insights to support decision-making.
 </li>
 <li>
 Perform ad hoc analyses and present findings to stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Risk Management:
 
 
 <ul>
 <li>
 Support the identification, assessment, and monitoring of operational and organizational risks.
 </li>
 <li>
 Prepare risk reports and dashboards for management.
 </li>
 <li>
 Assist in monitoring risk indicators and compliance requirements.
 </li>
 </ul>
 
 
 
 
 
 Executive Management Support:
 
 
 <ul>
 <li>
 Prepare executive dashboards and management reports.
 </li>
 <li>
 Develop presentations and analytical materials for leadership meetings.
 </li>
 <li>
 Monitor strategic initiatives and executive performance indicators.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's or diploma degree in any related field.
 </li>
 <li>
 Preferred prior experience in Business Intelligence, Performance Management and, Data Analytics.
 </li>
 <li>
 Advanced proficiency in Power BI and Excel (Dashboard design and reporting).
 </li>
 <li>
 Strong knowledge of KPI development and performance measurement.
 </li>
 </ul>
 
 
 
</div>

Data Analyst

Qiddiya | القدية

<div>
 The senior Expert for Data Modeling will be responsible for the deign and implementation of data models incorporating all information centralized BU the CDU team.
 
 
 This currently includes:
 
 
 <ul>
 <li>
 Cost data from Prism
 </li>
 <li>
 Time data from Primavera P6
 </li>
 <li>
 Risk data from Arm
 </li>
 <li>
 Metadata from Aconex related to documents and report content
 </li>
 <li>
 Various spreadsheets and databases implemented by Qiddiya
 
 
 </li>
 </ul>
 The Data Modeling expert will take the existing model developed in PowerBI and enhance it's capabilities, accessibility and scope of analysis to men the needs of the Qiddiya development division
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Enhance the existing data model strategy that covers all development analysis and reporting requirements
 </li>
 <li>
 Ensure clear requirements are provided to data owners so they understand how their data is tagged so it can be incorporated into models
 </li>
 <li>
 Manage the data modeling team, consisting of AI modeling expert, LLM modeling expert and a database technician and assign them tasks that achieve the desired outcome
 </li>
 <li>
 Advise the Data Modeling and Performance &amp; Analytics Director of best practice and possible enhancement to solutions
 </li>
 <li>
 Work with the Data Office to ensure all data and reports are properly governed
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Qualifications &amp; Experience
 
 
 
 
 Systems development
 
 
 
 <ul>
 <li>
 Implementation of software solutions into established working environments
 </li>
 <li>
 Experienced with the integration of existing software packages
 </li>
 <li>
 Development of workflow and automated process to enhance data capturing routines
 
 
 </li>
 </ul>
 
 Intra- Organization Stakeholder Experience
 
 
 
 <ul>
 <li>
 Effectively liaise with individuals with a variety of experience and authority levels
 </li>
 <li>
 Understand technical solutions and communicate how they solve problems
 
 
 </li>
 </ul>
 
 Team support and development
 
 
 
 <ul>
 <li>
 Assessment of individual and team performance to optimize efficiency
 </li>
 <li>
 Support to individuals with a variety of technical experience to encourage growth and development
 
 
 </li>
 </ul>
 
 Effective delivery within large organizational structures:
 
 
 
 <ul>
 <li>
 Work within the established organizational structure to effectively deliver defined outcomes
 </li>
 <li>
 Help manage messaging within Qiddiya to ensure Implementation is providing a trusted service
 
 
 </li>
 </ul>
 
 Team collaboration:
 
 
 
 <ul>
 <li>
 Work effectively as a team member, sharing responsibility, providing support, maintaining communication, and updating senior team members on progress
 </li>
 <li>
 Communicate and collaborate with other team members, adjacent teams, and external partners, such as consultants
 
 
 </li>
 </ul>
 
 Degree educated in information services and/or data analytics
 
 
 
 
 Established experience of working as part of an owner's team on solutions for large and complex organizations
 
 
 
 
 Preferred Backgrounds
 
 
 
 <ul>
 <li>
 Excellent communication, presentation, and interpersonal skills
 </li>
 <li>
 Fluency in using Microsoft Office
 </li>
 <li>
 Have high ability to work individually and collaboratively with others
 </li>
 <li>
 Have high ability to work effectively under pressure and meet established goals and objectives within the specified deadline
 </li>
 <li>
 Highly motivated and a strong drive to learn including independent learning
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Exposure to all aspects of the development business
 </li>
 <li>
 Opportunity to shape large datasets and implement innovative analytical solutions
 </li>
 <li>
 Opportunity to help develop a team with strong core technical skills
 </li>
 <li>
 Long term appointment
 </li>
 </ul>
</div>

Manager - Data Modeling CDUP2086

atmaal

<div>
 
 AI &amp; Advanced Analytics Specialist .
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 &bull; Collaborate with business stakeholders to translate strategic objectives into data-driven solutions and advanced analytics use cases.
 
 
 &bull; Design and develop predictive models including forecasting, classification, regression, and customer segmentation.
 
 
 &bull; Apply machine learning and optimization techniques to generate actionable business recommendations.
 
 
 &bull; Utilize Natural Language Processing (NLP) techniques for sentiment analysis, text classification, and information extraction from unstructured data.
 
 
 &bull; Conduct exploratory data analysis to identify trends, anomalies, and opportunities for business improvement.
 
 
 &bull; Leverage Generative AI capabilities for intelligent automation, content summarization, code generation, and insight extraction.
 
 
 &bull; Develop and deploy analytical solutions using modern cloud-based platforms and AI services.
 
 
 &bull; Build interactive dashboards and visualizations that effectively communicate insights to both technical and non-technical stakeholders.
 
 
 &bull; Monitor, validate, and continuously improve analytical models to ensure performance and reliability.
 
 
 &bull; Maintain proper documentation, methodology standards, and reproducible analytics workflows.
 
 
 
 
 
 Requirements:
 
 
 
 
 
 &bull; Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
 
 
 &bull; 3&ndash;4 years of experience in Data Science, Advanced Analytics, Machine Learning, or Artificial Intelligence.
 
 
 &bull; Strong proficiency in Python.
 
 
 &bull; Hands-on experience with Power BI.
 
 
 &bull; Experience with Google Cloud Platform (GCP), including BigQuery, Vertex AI, and Google Cloud Storage.
 
 
 &bull; Practical experience in Machine Learning, Predictive Analytics, and NLP.
 
 
 &bull; Exposure to Generative AI technologies and Large Language Models (LLMs) is highly preferred.
 
 
 &bull; Strong analytical, problem-solving, and stakeholder management skills.
 
 
 
 
 
 Preferred Language Level:
 
 
 
 
 
 &bull; Professional working proficiency in English (written and verbal).
 
</div>

AI & Advanced Analytic Specialist

<div>
 The Specialist - Procurement Governance &amp; Reporting plays a critical role in enhancing the transparency and accountability of procurement activities at Qiddiya Investment Company. This position is responsible for establishing and maintaining governance frameworks that align with organizational policies and regulatory requirements. Additionally, the Specialist will develop and manage reporting systems to ensure effective monitoring of procurement performance and compliance.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Governance Framework Development:
 </li>
 <li>
 Design, implement, and maintain governance policies and procedures related to procurement activities
 </li>
 <li>
 Ensure alignment of procurement processes with local regulations, internal standards, and best practices
 </li>
 <li>
 Reporting and Analytics:
 </li>
 <li>
 Develop and manage procurement reporting tools and dashboards to facilitate data-driven decision-making
 </li>
 <li>
 Prepare and present regular reports on procurement performance metrics, compliance, and risk assessments to senior management
 </li>
 <li>
 Analyze procurement data to identify trends, inefficiencies, and opportunities for continuous improvement
 </li>
 <li>
 Compliance Monitoring:
 </li>
 <li>
 Assist in the auditing of procurement processes to ensure adherence to established governance frameworks and compliance with legal standards
 </li>
 <li>
 Support the identification and mitigation of procurement-related risks throughout the procurement lifecycle
 </li>
 <li>
 Stakeholder Engagement:
 </li>
 <li>
 Collaborate with cross-functional teams to promote a culture of governance and compliance within procurement
 </li>
 <li>
 Facilitate training and workshops for procurement staff on governance policies and reporting requirements
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Business Administration, Supply Chain Management, Finance, or a related field
 </li>
 <li>
 At least 3 years of experience in procurement governance, compliance, or reporting within a large organization
 </li>
 <li>
 Strong analytical and reporting skills, with proficiency in data analytics tools and Excel
 </li>
 <li>
 Familiarity with procurement regulations and best practices in Saudi Arabia
 </li>
 <li>
 Excellent communication skills, both verbal and written, to effectively engage with stakeholders at all levels
 </li>
 <li>
 Detail-oriented and organized with the ability to manage multiple tasks and projects simultaneously
 </li>
 <li>
 Proficiency in Arabic is a plus
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Contribute to one of Saudi Arabia's most ambitious giga-projects.
 </li>
 <li>
 Work in a high-impact environment where strategic sourcing and execution matter.
 </li>
 <li>
 Collaborate with top global firms in design, development, and supply chain.
 </li>
 <li>
 Drive procurement excellence that shapes world-class destinations
 </li>
 </ul>
</div>

Procurement Governance & Reporting

<div>
 Qiddiya Investment Company is on the lookout for a dynamic Senior Specialist in Business Intelligence to enhance our data-driven strategy and analytics capabilities. The Senior Business Intelligence Specialist is responsible for transforming multi‑source operational and guest‑experience data into meaningful insights that drive performance, service-quality improvements, and strategic decision‑making across the Contact Center. This role ensures data accuracy, develops advanced dashboards, monitors key performance indicators (KPIs), and provides actionable analytics to leadership and operational teams.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 KPI Data Collection &amp; Validation
 </li>
 <li>
 </li>
 <li>
 Consolidate multi-source data: IVR/telephony, CRM/case management, QA scorecards, post-call and digital surveys, social/complaints, chat, email, WhatsApp, app/web feedback
 </li>
 <li>
 </li>
 <li>
 Detect early warning signals (spikes in negative sentiment, repeat contacts, reopened cases, escalation trends)
 </li>
 <li>
 </li>
 <li>
 Maintain alerting for threshold breaches (CSAT dips, complaint surges, SLA misses)
 </li>
 <li>
 </li>
 <li>
 </li>
 <li>
 Extract required KPIs from approved systems following designated schedules to maintain consistent reporting accuracy
 </li>
 <li>
 </li>
 <li>
 Validate dataset completeness and formatting, ensuring numerical integrity and alignment with reporting requirements
 </li>
 <li>
 </li>
 <li>
 Maintain unified data templates to support continuity, comparability, and repeatability of performance reporting
 </li>
 <li>
 </li>
 <li>
 Flag errors, missing values, or anomalies to concerned stakeholders for timely resolution
 </li>
 <li>
 Dashboard Updating &amp; Reporting
 </li>
 <li>
 </li>
 <li>
 Update dashboards with accurate performance metrics, ensuring correct visual representation and labeling
 </li>
 <li>
 </li>
 <li>
 Executive VOG (Voice of the Guest) Dashboard (CSAT/NPS/CES, trends, drivers, top issues, corrective actions recommendations and Insights)
 </li>
 <li>
 </li>
 <li>
 Prepare structured weekly and monthly summaries to support operational and leadership reviews
 </li>
 <li>
 </li>
 <li>
 Maintain historical data libraries, ensuring consistent archiving and access to past performance cycles to support continuity of analysis
 </li>
 <li>
 </li>
 <li>
 Support enhancements to dashboard structures by collecting feedback and identifying usability needs
 </li>
 <li>
 Insights &amp; Improvement Support
 </li>
 <li>
 </li>
 <li>
 Link complaints + QA findings + operational KPIs to root causes (e.g., long AHT, policy ambiguity, defect-prone journeys, knowledge gaps)
 </li>
 <li>
 </li>
 <li>
 Facilitate insight readouts with QA, Operations, Training/Development, and Product/Policy owners
 </li>
 <li>
 </li>
 <li>
 Capture recurring performance issues and categorize them appropriately within tracking logs
 </li>
 <li>
 </li>
 <li>
 Provide data extracts supporting trend analysis and service-improvement assessments
 </li>
 <li>
 </li>
 <li>
 Maintain productivity, adherence, and quality datasets required for operational decision-making
 </li>
 <li>
 </li>
 <li>
 Highlight emerging patterns that may impact performance targets or frontline consistency
 </li>
 <li>
 Audit Readiness &amp; Documentation
 </li>
 <li>
 </li>
 <li>
 Maintain audit-ready evidence folders, ensuring organized logs and complete supporting documentation
 </li>
 <li>
 </li>
 <li>
 Prepare required KPI samples during audits or governance reviews
 </li>
 <li>
 </li>
 <li>
 Validate integrity of archived datasets and ensure documentation traceability
 </li>
 <li>
 </li>
 <li>
 Support compliance with internal reporting standards and data-governance expectations
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum qualification:
 </li>
 <li>
 </li>
 <li>
 Bachelor's degree in business administration, Hospitality and Tourism Management, or related discipline required
 </li>
 <li>
 Certifications:
 </li>
 <li>
 </li>
 <li>
 COPC training, ITIL, CX/Service Excellence certifications or equivalent required
 </li>
 <li>
 </li>
 <li>
 Lean Six Sigma Green Belt
 </li>
 <li>
 </li>
 <li>
 Business Intelligence Certificate
 </li>
 <li>
 </li>
 <li>
 Power BI
 </li>
 <li>
 Years of Relevant Experience:
 </li>
 <li>
 </li>
 <li>
 4+ years, preferably with majority in Performance Management
 </li>
 <li>
 Nature of Experience:
 </li>
 <li>
 </li>
 <li>
 Experience in performance reporting, data analysis, or service-operations monitoring preferred
 </li>
 <li>
 </li>
 <li>
 Experience working in a related area in a leading professional-services firm, prestigious consulting firm or entertainment/real estate industry preferred.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Comprehensive benefits package
</div>

Senior Specialist - Business Intelligence

Qiddiya Investment Company

<div>About the Role
Qiddiya is Saudi Arabia&rsquo;s future capital of entertainment, sports, and culture &mdash; a 360 km&sup2; mega-project just outside Riyadh. From F1-grade racetracks and theme parks to stadiums and performance venues, we&rsquo;re creating a destination like no other. This is more than a project &mdash; it&rsquo;s a national transformation. As construction accelerates, we&rsquo;re hiring ambitious talent to help shape it. If you&rsquo;re driven by scale, impact, and the chance to build something iconic from the ground up &mdash; Qiddiya is calling. 
As part of this vision, the NTC precinct is being developed as a next-generation sport, entertainment and lifestyle destination &mdash; combining elite events, community participation, hospitality, premium experiences and year-round activation within one integrated ecosystem. 
Job Summary
The Specialist &ndash; Asset Management, NTC Financial Modelling, Performance &amp; Operational Intelligence supports the Asset Management team through financial analysis, operational intelligence, performance reporting and data-driven insights across the NTC asset portfolio. 
The role plays a key part in monitoring venue utilisation, commercial performance, operational efficiency and guest experience outcomes across both event and non-event operations. Working across venue operations, tennis operations and broader precinct activities, the role supports budgeting, forecasting, KPI reporting, compliance monitoring and business intelligence initiatives to help optimise venue and event performance. 
This role is ideally suited to an early-career Specialist with strong analytical capability, curiosity and a passion for sport, entertainment and major venues, looking to build experience within one of the world&rsquo;s most ambitious destination developments.
Applications closing on the 28th of June 2026. 
Requirements 
<ul><li>
Support financial modelling, operational intelligence and performance analysis across the NTC portfolio
</li><li>Provide insights to optimise venue utilisation, commercial performance and operational efficiency
</li><li>Analyse venue utilisation, programming performance, revenue generation and operational trends
</li><li>Support budgeting, forecasting and variance analysis activities
</li><li>Develop and maintain operational dashboards, KPI reporting and business intelligence tools
</li><li>Monitor operational, commercial and guest experience performance metrics across venues and events
</li><li>Assist with operator performance reporting, compliance monitoring and governance tracking
</li><li>Support preparation of business cases, feasibility assessments and operational improvement initiatives
</li><li>Maintain integrity of operational and financial data across systems and reporting platforms
</li><li>Prepare reports, presentations and performance summaries for leadership stakeholders
</li><li>Support risk management, compliance reporting and audit preparation activities
</li><li>Contribute to continuous improvement initiatives, reporting automation and systems optimisation
</li><li>Collaborate across venue operations, finance, commercial and asset management teams to support integrated decision-making</li></ul>
Qualifications &amp; Experience<ul><li>
Bachelor&rsquo;s degree in Finance, Economics, Accounting, Business, Data Analytics or related discipline
</li><li>2&ndash;3 years&rsquo; experience in financial analysis, operational reporting, business intelligence or related analytical roles
</li><li>Experience or strong interest in sport, entertainment, venues, hospitality or major events environments preferred
</li><li>Strong Excel and analytical capability with attention to detail
</li><li>Experience in financial modelling, operational reporting or dashboard development preferred
</li><li>Understanding of budgeting, KPI reporting and commercial performance analysis
</li><li>Strong communication and presentation capability
</li><li>Ability to work across cross-functional operational and commercial teams in a fast-paced environment
</li><li>Curiosity, initiative and passion for sport, entertainment and live experiences
</li><li>Experience with reporting systems, visualisation tools or business intelligence platforms is advantageous</li></ul></div>

Specialist - Financial Modelling - Asset Management - INV-038 - AG6

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