Analyst - Enterprise Data Analytics & Automation

Our Business Landscape

Job Overview

Application Development and Automation

• Build and deploy Power Apps and Dataverse applications to digitize manual processes.
• Automate approvals, routing, notifications, SLA triggers, reminders, and escalations with Power Automate.
• Implement access controls, audit trails, version history, data retention, and single sign-on.
• Manage requirements, design, build, UAT, release, hypercare, and post-go-live enhancements.
• Integrate applications with Power BI and support security-by-design assessments.

Analytics, Reporting, and Data Engineering

• Create Power BI data models, dashboards, reports, KPIs, visualizations, and DAX queries.
• Use SQL and Power BI to analyze data, improve BI systems, and support decision-making.
• Build, monitor, and troubleshoot pipelines across Azure Data Factory, Azure SQL, Logic Apps, and Function Apps.
• Support Microsoft Fabric migration and apply workspace, capacity, performance, and cost-optimization standards.
• Contribute to data governance, KPI standardization, data lineage, and a single source of truth.

AI and Machine Learning

• Apply AI and machine learning to analytics, forecasting, anomaly detection, and natural-language insight generation.
• Use generative AI to accelerate application and dashboard development while validating outputs and maintaining traceability.
• Track data, AI, and automation developments and pilot capabilities where business value is clear.

Delivery and Collaboration

• Gather requirements, run UAT, secure business sign-off, document solutions, and maintain monitoring procedures.
• Provide user support, training materials, and demonstrations for deployed dashboards and applications.
• Report project progress weekly and escalate blockers early.
• Work with Group functions, operating companies, Microsoft, and potential vendors.

Experience and Qualifications

• At least five years of Power Platform development experience.
• Hands-on production experience with Power Apps and Power Automate.
• Experience in data preparation and data warehousing projects.
• At least three years of software development lifecycle experience using one or more programming languages.
• Knowledge of SQL Server and relevant Microsoft 365 software skills.
• Exposure to Microsoft Fabric, Azure data services, and AI or machine learning applied to analytics.
• A bachelor's or master's degree in computer science or information systems technology is stated in the experience profile; the qualifications section also states a bachelor's degree in any field.
• Ability to communicate with business and technical teams and translate business problems into digital products.

Must-Have Skills

• Advanced application development using Power Apps, Power Automate, and Dataverse.
• Intermediate process automation and digitization.
• Advanced data analytics.
• Intermediate data engineering and pipeline management across Fabric, Azure, and SQL.
• Intermediate AI and machine learning applied to business analytics.
• Basic data governance, security, and privacy.
• Advanced programming concepts and project or program management.
• Intermediate financial analysis and business or commercial acumen.
• Basic networking, influencing, ownership, customer value, and collaborative delivery skills.