Marketing Analytics Specialist

AlloFresh; Jakarta Pusat; On-site; IDR 167,400,000 - 390,600,000; Full time

Job summary

AlloFresh is seeking a Marketing Analytics/Data Analyst to own cross-channel performance insights for digital, offline, and organic channels. You will build dashboards tracking CAC, ROAS, CVR, retention, and reach, and conduct post-mortem analyses to explain what worked and why.

You’ll collaborate with Growth, Brand, and Offline teams to shape metrics and opportunities. The ideal candidate has 2+ years in marketing analytics, strong SQL and visualization skills, and experience with multi-touch

Qualifications

• Bachelor's degree in Marketing, Statistics, Business Analytics, Data Science, or a related field.
• 2+ years in a marketing analytics or data analyst role, preferably in omnichannel.
• Proficient in SQL and visualization tools like 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.
• Able to work with large datasets, run exploratory analyses, and draw actionable insights.
• Strong communication to explain findings to technical and non-technical audiences.

Responsibilities

• Analyze full-funnel marketing performance across digital, offline, and organic channels.
• Build and maintain dashboards to monitor CAC, ROAS, CVR, retention, engagement, and reach.
• Conduct post-mortem analyses to explain campaign outcomes.
• Perform cross-channel attribution to optimize spend allocation.
• Collaborate with Growth, Brand, and Offline teams to define success metrics.
• Support segmentation strategies and profiling of audiences.
• Design and evaluate A/B/n testing frameworks.
• Translate insights into data-backed recommendations for stakeholders.

Skills

SQL

Data visualization

Communication

Attention to detail

Omnichannel analytics

Education

Bachelor's degree in Marketing, Statistics, Business Analytics, Data Science, or related field

Tools

Tableau

Looker

Power BI

Google Data Studio

Google Analytics

AppsFlyer

Mixpanel

Meta Insights

Sprout Social

Job description

• Analyze 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.

Requirements

• Bachelor'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 Qualifications

• Familiarity 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.