Analytics Engineer

• Partner with business stakeholders and subject matter experts to understand analytical needs, identify opportunities, and define requirements for data products and analytical solutions.
• Translate business requirements into scalable data models, curated datasets, and actionable insights that enable data-driven decision-making.
• Design, develop, and maintain data products by integrating data from operational systems, backend services, SAP solutions, and other internal and external data sources.
• Collaborate with software engineering and data engineering teams to ensure reliable integration of data into sonnen's analytics platform and data ecosystem.
• Contribute to the evolution of our data architecture, data governance, and analytics strategy, helping establish sustainable and scalable data products.
• Develop and maintain data transformation logic, analytical datasets, and semantic models that support reporting, analytics, and advanced use cases.
• Implement data quality controls, monitoring mechanisms, and validation processes to ensure data accuracy, consistency, and trustworthiness.
• Drive continuous improvement of our data products and analytics capabilities by identifying gaps, opportunities, and emerging technologies.
• Ensure high standards for documentation, maintainability, and software engineering practices using version control and collaborative development workflows.

Data & Analytics Engineer driving data solutions for energy revolution at sonnen

Data & Analytics Engineer

Data & Analytics Engineer designing data products and analytical solutions for the energy sector. Collaborating with stakeholders to enhance data governance and analytics strategies at sonnen.

• Business insight and decision support: Translate strategic and operational questions into clear analyses, dashboards, reports, and recommendations for leadership and functional teams.
• KPI and metrics ownership: Define, document, and govern business metrics across fuel consumption, transaction activity, customer adoption, fleet performance, station coverage, invoicing, product usage, savings, churn, and operational efficiency.
• Dashboard and reporting delivery: Build reliable self-service dashboards for executives, product, sales, finance, operations, customer success, and country or regional teams.
• Customer and product analytics: Analyze user journeys, feature adoption, customer cohorts, fleet behavior, transaction trends, fuel limits, budget usage, and drop-off points to guide product and growth decisions.
• Operations and finance analytics: Support reconciliation, invoicing, station performance, wallet movement, service usage, cost analysis, revenue tracking, and profitability insights.
• Fraud and anomaly insight: Partner with product, operations, and data engineering to identify unusual fuel patterns, tampering indicators, policy exceptions, and monitoring rules that improve trust and control.
• Experimentation and forecasting: Design analyses for pilots, pricing, campaigns, product launches, and operational changes; support forecasting for consumption, transactions, customer demand, and station utilization.
• Data storytelling: Present insights clearly, explain trade-offs, quantify impact, and convert analysis into practical recommendations and action plans.
• Data quality partnership: Work with data engineering to improve source data, metric definitions, documentation, dashboard reliability, and analytics-ready datasets.
• Analytics mentorship: Set standards for analysis quality, dashboard design, metric governance, and stakeholder communication while mentoring less experienced analysts.

Senior Data Analytics Specialist providing insights and recommendations for leadership.

Senior Data Analytics Specialist

Senior Data Analytics Specialist providing actionable insights and data-driven recommendations for leadership. Ownership of KPIs, dashboards, and analytics for operational efficiency in Egypt.

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Data & Analytics Engineer

Senior Data Analytics Specialist