Senior Data Analytics Specialist

This is a fully remote position, open to applicants in Egypt.

📋 Description

• Provide business insights and decision support by transforming strategic and operational queries into comprehensive analyses, dashboards, reports, and actionable recommendations for leadership and functional teams.

• Take ownership of KPIs and metrics by defining, documenting, and governing business metrics related to fuel consumption, transaction activity, customer adoption, fleet performance, station coverage, invoicing, product usage, savings, churn, and operational efficiency.

• Deliver dashboards and reporting by creating dependable self-service dashboards for executives, product teams, sales, finance, operations, customer success, and regional or country teams.

• Conduct customer and product analytics by examining user journeys, feature adoption, customer cohorts, fleet behavior, transaction trends, fuel limits, budget utilization, and drop-off points to inform product and growth strategies.

• Provide operations and finance analytics to assist with reconciliation, invoicing, station performance, wallet activity, service usage, cost analysis, revenue tracking, and profitability insights.

• Offer fraud and anomaly insights by collaborating with product, operations, and data engineering teams to detect unusual fuel usage patterns, signs of tampering, policy exceptions, and monitoring rules that enhance trust and control.

• Engage in experimentation and forecasting by designing analyses for pilots, pricing strategies, campaigns, product launches, and operational modifications; support forecasting for consumption, transactions, customer demand, and station utilization.

• Utilize data storytelling to effectively present insights, clarify trade-offs, quantify impacts, and translate analysis into practical recommendations and action plans.

• Partner with data engineering to enhance data quality by improving source data, metric definitions, documentation, dashboard reliability, and analytics-ready datasets.

• Mentor analysts by establishing standards for analysis quality, dashboard design, metric governance, and stakeholder communication while guiding less experienced team members.

⛳️ Requirements

• A minimum of 5 years of experience in data analytics, business intelligence, product analytics, revenue analytics, operations analytics, or a comparable analytical position.

• Proficient in SQL with the capability to independently extract, transform, join, validate, and analyze complex data across various domains.

• Significant experience in creating dashboards and data products using tools such as Power BI, Tableau, Looker, Metabase, Superset, or other similar BI platforms.

• Strong comprehension of KPI design, metric definitions, funnel analysis, cohort analysis, segmentation, trend analysis, forecasting, and root-cause analysis.

• Ability to translate ambiguous business inquiries into analytical plans, structured hypotheses, and actionable recommendations.

• Experience handling transactional, product, customer, payment, operational, or financial datasets at scale.

• Familiarity with Python or R for analysis, automation, statistical exploration, or notebook-based research.

• Excellent skills in stakeholder management and communication, including the ability to convey technical findings to non-technical audiences.

• Strong focus on data accuracy, definitions, documentation, and reproducibility.

• Comfortable working in fast-paced product and engineering settings with changing priorities and high ownership expectations.

• Experience in fintech, fleet management, logistics, mobility, fuel, marketplace, SaaS, or businesses with high transaction volumes.

• Knowledge of dbt, semantic layers, data catalogs, metric stores, or analytics engineering workflows.

• Familiarity with fraud analytics, anomaly detection, operational controls, pricing analysis, or customer savings assessment.

• Experience with A/B testing, causal inference, retention analysis, churn prediction, LTV modeling, or commercial performance analytics.

• Proficiency in Arabic and English for business communication is advantageous for engaging with regional stakeholders.

🏝️ 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.