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Marketing Analytics Specialist

AlloFresh · Jakarta Metropolitan Area

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Key ResponsibilitiesAnalyze full-funnel marketing performance across digital (Meta, Google, CRM, ASA), offline (OOH, activations, events), and organic (social media, influencer, brand initiatives) channels.Build and maintain dashboards to monitor key KPIs such as CAC, ROAS, CVR, retention, engagement, and reach across different marketing initiatives.Conduct post-mortem analyses for campaigns and activations, identifying what worked, what didn’t, and why.Perform cross-channel attribution analysis to evaluate effectiveness and optimize marketing spend allocation.Collaborate with Growth, Brand, and Offline teams to define success metrics and identify opportunities through data.Support segmentation strategies and profiling (e.g., audience clustering, high-value users, new vs. returning users).Design and evaluate A/B/n testing frameworks (e.g., creatives, messaging, targeting strategies).Translate insights into clear, data-backed recommendations for marketers and business stakeholders.RequirementsBachelor’s degree in Marketing, Statistics, Business Analytics, Data Science, or a related field.2+ years of experience in a marketing analytics or data analyst role, preferably in an omnichannel business.Proficient in SQL and visualization tools such as Tableau, Looker, Power BI, or Google Data Studio.Experience analyzing marketing performance across digital (paid and CRM), offline, and brand/organic social.Familiar with multi-touch attribution, incrementality, and media mix modeling.Comfortable working with large datasets, conducting exploratory analysis, and drawing actionable insights.Strong communication skills to explain complex findings to both technical and non-technical audiences.Highly detail-oriented, with strong business acumen and a results-driven mindset.Preferred QualificationsFamiliarity with tools like Google Analytics, AppsFlyer, Mixpanel, and social analytics platforms (e.g., Meta Insights, Sprout Social).Experience supporting brand health tracking, media mix modeling, or offline attribution.Knowledge of Python/R for advanced data analysis is a plus.