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Marketing Tech & Analytics Lead
PRYPCO
Dubai, UAEAED 6,000-18,000/moYesterday
UAESales & MarketingFull Time
Skills Required
SqlExcelSapTableauCrmErpLeadership
Job Description
As the Marketing Tech & Analytics Executive/Lead, you will design, architect and own the data stack, attribution logics, reporting, tracking, and performance analytics across all marketing channels and business verticals. Your core focus will be ensuring accurate attribution, campaign performance visibility, and actionable insights that directly impact revenue and marketing ROI.Basically, you will be able to set up and track every activity and every dirham spent across businesses to a measurable conversion on the platform and recommend changes in execution to maximize conversion/reach, influence CAC, budget allocation, conversion optimisation and revenue growth across all Business units. You will work closely with the entire marketing team to build dashboards, streamline reporting processes, validate data accuracy, and uncover insights that drive smarter decision‑making. This is a hands‑on analytical role with strong cross‑functional exposure and potential to grow into a senior analytics or performance marketing role.Key ResponsibilitiesGrowth Impact:Partner with performance & product to improve funnel conversionIdentify and eliminate data leakage across the customer journeyBuild cohort based LTV modelsDefine SSOT metrics across web and appMarketing Reporting & MISTrack daily/weekly/monthly marketing performance metrics across all channels and business units.Maintain centralized dashboards covering acquisition, retention, engagement, CAC, LTV, and funnel metrics.Ensure data accuracy and consistency across CRM, MMPs, ad platforms, and internal databases.Automate recurring reports to reduce manual intervention and improve efficiency.Campaign Analytics & Performance TrackingTrack and analyze campaign performance across paid media, CRM, WhatsApp, push, SMS, and email.Monitor conversion funnels and identify gaps, discrepancies and areas of improvement from a data pov.Measure true incremental ROASAttribution & Data ValidationBuild and manage attribution frameworks across web and app (MMP tools like Adjust, Appsflyer, etc.).Validate tracking implementation in collaboration with Product and Tech teams.Ensure proper UTM structures, event tracking, and campaign tagging hygiene.Identify discrepancies if any across different measurement platforms and timely highlight.Work with tech and product teams to define event taxonomy.Improve tracking architecture.Data Processing & Data VisualizationBuild and maintain dashboards and weekly reports for business meetings using Excel, PowerPoint, Power BI, Looker Studio, or similar tools.Translate complex data into clear, actionable insights for stakeholders via quick calculations, Excel, and available tools.Expense TrackingTrack marketing budgets vs spends and monitor spends and reporting with finance.What success looks like for this role?SSOT dashboard live across all verticalsData & behaviour based recommendation which directly reduce CACAttribution discrepancy reduced toLTV model established per product100% campaign tagging hygieneAutomated reporting for leadershipRequirementsMust-Have4–6 years of experience in Marketing Analytics, MIS, Business Intelligence, or Performance Marketing analytics.Strong hands‑on experience with reporting tools like Power BI, Looker Studio, Tableau, or similar.Strong proficiency in Excel/Google Sheets (pivot tables, data lookup, data cleaning exercises etc.).Working knowledge of MMP tools (Adjust/Appsflyer), CRM platforms, and ad platforms (Meta, Google, TikTok, etc.).Experience building attribution models, funnel analysis, CAC, LTV, and cohort analysis with proven examples of improving CAC or ROAS.Strong analytical mindset with attention to detail and data accuracy.Comfort with ambiguity and messy datasets.Business first thinking and not tool-first.Bonus PointsHas run incrementality tests, geo‑lift or channel lift experimentsCan use automation tools and/or AI tools for faster and real‑time analysis.Strong knowledge of SQL for querying data setsFamiliarity with API‑based data extraction or webhook integrations.Experience working across multiple business verticals or emerging markets.#J-18808-Ljbffr
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