Data Analyst

Role Overview

Key Responsibilities

• Aggregate, clean, and analyse high-volume marketing and business data across channels (Google Ads, Meta, Affiliate Marketing, ASO, SEO, CRM, and website/app analytics).
• Build, maintain & automate dashboards for campaigns, funnel performance, retention, and lead/subscription conversion rates.
• Uncover actionable data trends, proactively identify optimization opportunities, and deliver impactful narratives to improve registration-to-paid conversion.
• Closely collaborate with performance marketing, brand, product, and technology teams to continuously improve targeting, segmentation, creatives, and ROI.
• Create post-campaign analytics/videos/reports with succinct recommendations for campaign improvement.
• Support A/B testing, experimentation, and customer behavior analytics to guide digital product strategy and acquisition.
• Work with BI/data engineering teams to automate flows and improve data reliability.
• Translate complex findings for non-technical stakeholders and executive teams.

Required Skills & Experience

• 2–5 years in marketing analytics, data science, or performance marketing data roles (within consumer tech/e-commerce/app businesses preferred).
• Highly proficient with Excel/Google Sheets, SQL and dashboards/BI tools ( Tableau, Google Data Studio/Looker).
• Understanding of digital marketing KPIs and metrics: CAC, LTV, funnel optimization, ROAS, retention, attribution.
• Expertise in campaign reporting, cohort analysis, segmentation, and statistical approaches.
• Excellent data storytelling and presentation skills; able to communicate clearly with teams across tech and business.

Preferred Qualifications

• Experience with regression, cohort analysis, or A/B test design.
• Familiarity with Python/R, Google Colab for data analysis
• Prior work in app-first environments, high-velocity web platforms, or subscription-driven businesses is a plus.