{"id":140134,"url":"https://alion.io/job/petroapp-senior-data-analytics-specialist","title":"Senior Data Analytics Specialist","company":{"id":8325,"name":"PetroApp","domain":"petroapp.com","url":"https://alion.io/company/petroapp","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"C","score":69,"open_postings":27,"ghost_share":0.519,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data 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Detection","optional":true},{"name":"dbt","optional":true}],"status":"live","first_seen_at":"2026-06-28T00:00:00Z","employer_posted_date":"2026-06-28","last_verified_at":"2026-10-17T22:18:34Z","board_verified":true,"closed_at":null,"days_open":112,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":111},"description":"Business insight and decision support: Translate strategic and operational questions into clear analyses, dashboards, reports, and recommendations for leadership and functional teams.\nKPI 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.\nDashboard and reporting delivery: Build reliable self-service dashboards for executives, product, sales, finance, operations, customer success, and country or regional teams.\nCustomer 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.\nOperations and finance analytics: Support reconciliation, invoicing, station performance, wallet movement, service usage, cost analysis, revenue tracking, and profitability insights.\nFraud 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.\nExperimentation and forecasting: Design analyses for pilots, pricing, campaigns, product launches, and operational changes; support forecasting for consumption, transactions, customer demand, and station utilization.\nData storytelling: Present insights clearly, explain trade-offs, quantify impact, and convert analysis into practical recommendations and action plans.\nData quality partnership: Work with data engineering to improve source data, metric definitions, documentation, dashboard reliability, and analytics-ready datasets.\nAnalytics mentorship: Set standards for analysis quality, dashboard design, metric governance, and stakeholder communication while mentoring less experienced analysts.\nRequirements\nRequired qualifications\n5+ years of experience in data analytics, business intelligence, product analytics, revenue analytics, operations analytics, or a similar analytical role.\nAdvanced SQL skills with the ability to independently extract, transform, join, validate, and analyze complex data from multiple domains.\nStrong experience building dashboards and data products using Power BI, Tableau, Looker, Metabase, Superset, or similar BI tools.\nStrong understanding of KPI design, metric definitions, funnel analysis, cohort analysis, segmentation, trend analysis, forecasting, and root-cause analysis.\nAbility to convert ambiguous business questions into analytical plans, structured hypotheses, and actionable recommendations.\nExperience working with transactional, product, customer, payment, operational, or financial datasets at scale.\nWorking knowledge of Python or R for analysis, automation, statistical exploration, or notebook-based research.\nExcellent stakeholder management and communication skills, including the ability to explain technical findings to non-technical audiences.\nStrong attention to data accuracy, definitions, documentation, and reproducibility.\nComfort working in fast-paced product and engineering environments with changing priorities and high ownership expectations.\nPreferred qualifications\nExperience in fintech, fleet management, logistics, mobility, fuel, marketplace, SaaS, or high-volume transaction businesses.\nExperience with dbt, semantic layers, data catalogs, metric stores, or analytics engineering workflows.\nFamiliarity with fraud analytics, anomaly detection, operational controls, pricing analysis, or customer savings measurement.\nExperience with A/B testing, causal inference, retention analysis, churn prediction, LTV modeling, or commercial performance analytics.\nArabic and English business communication skills are a plus for regional stakeholder engagement.\nCore analytics stack expectations\nThe exact stack may evolve, but the successful candidate should be comfortable operating across the following categories:\nAnalysis: SQL, spreadsheets, Python or R, notebooks, statistical methods, and business case modeling.\nBI and visualization: Power BI, Tableau, Looker, Metabase, Superset, or equivalent dashboarding tools.\nData modeling: dimensional thinking, metric definitions, cohort tables, funnel tables, and curated analytical datasets.\nCollaboration: requirements gathering, stakeholder workshops, documentation, presentations, and decision memos.\nGovernance: metric catalog, dashboard ownership, access control awareness, and data quality issue management.\nProduct analytics: event data, customer journeys, feature usage, adoption metrics, retention, and conversion analysis.\nBenefits\nCompetitive salary and benefits package.\nOpportunity to work on cutting-edge technology with a passionate team.\nCareer growth and development opportunities.\nA collaborative and inclusive work environment.","description_format":"text","description_chars":4879,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":true}]},"benefits":[],"hiring_locations":[{"name":"Egypt","iso":"EG","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Fleet Management"],"lifecycle":[{"event":"open","at":"2026-06-28T00:00:00Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long 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