Marketing Analytics Specialist

AlloFresh; Indonesia; On-site; IDR 120,000,000 - 240,000,000; Full time

Job summary

AlloFresh is seeking a Marketing Data Analyst to analyze full-funnel performance across digital, offline, and organic channels, building dashboards to monitor CAC, ROAS, CVR, retention, engagement, and reach.

The role requires a 2+ year track record in marketing analytics, strong SQL and visualization skills, and experience with attribution, cross-channel insights, and testing. Collaboration with Growth/Brand/Offline teams is essential.

Qualifications

• 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.

Responsibilities

• 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 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.

Skills

SQL

Data visualization

Communication

A/B testing

Attribution modeling

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

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.