Senior Data Analytics Specialist

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🗣️🇸🇦 Arabic Required

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PetroApp

51 - 200 employees

💰 Seed Round on 2019-08

PetroApp is a smart system based on NFC technology which enables companies and individuals to eliminate waste, to control and monitor the fuel consumption and its distribution.

📋 Description

• 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.

🎯 Requirements

• 5+ years of experience in data analytics, business intelligence, product analytics, revenue analytics, operations analytics, or a similar analytical role. • Advanced SQL skills with the ability to independently extract, transform, join, validate, and analyze complex data from multiple domains. • Strong experience building dashboards and data products using Power BI, Tableau, Looker, Metabase, Superset, or similar BI tools. • Strong understanding of KPI design, metric definitions, funnel analysis, cohort analysis, segmentation, trend analysis, forecasting, and root-cause analysis. • Ability to convert ambiguous business questions into analytical plans, structured hypotheses, and actionable recommendations. • Experience working with transactional, product, customer, payment, operational, or financial datasets at scale. • Working knowledge of Python or R for analysis, automation, statistical exploration, or notebook-based research. • Excellent stakeholder management and communication skills, including the ability to explain technical findings to non-technical audiences. • Strong attention to data accuracy, definitions, documentation, and reproducibility. • Comfort working in fast-paced product and engineering environments with changing priorities and high ownership expectations. • Experience in fintech, fleet management, logistics, mobility, fuel, marketplace, SaaS, or high-volume transaction businesses. • Experience with dbt, semantic layers, data catalogs, metric stores, or analytics engineering workflows. • Familiarity with fraud analytics, anomaly detection, operational controls, pricing analysis, or customer savings measurement. • Experience with A/B testing, causal inference, retention analysis, churn prediction, LTV modeling, or commercial performance analytics. • Arabic and English business communication skills are a plus for regional stakeholder engagement.

🏖️ Benefits

• Competitive salary and benefits package. • Opportunity to work on cutting-edge technology with a passionate team. • Career growth and development opportunities. • A collaborative and inclusive work environment.

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