Digital Performance Analyst (Remote/WFH)

BITHUMB LABS PTE. LTD.; Penarth, High Street; Remote; GBP 24,000 - 42,000; Full time

Job summary

BITHUMB LABS PTE. LTD. is seeking a Digital Performance Analyst to transform usage data into actionable insights and strategic recommendations. You will explore analytics, identify where users drop off, and prioritize fixes to improve digital products.

No prior experience is required. We will train you on tools and methods, helping you build recurring reports and dashboards while mentoring you through your first 90 days.

Qualifications

• Strong written and spoken English; you can explain data simply.
• Comfort with numbers, charts, and logical thinking.
• Basic proficiency with spreadsheets (Excel or Google Sheets), including formulas and charts.
• Strong attention to detail; you double-check your work.
• Ability to work independently and meet deadlines.

Responsibilities

• Collect and organize usage data from analytics platforms, store dashboards, and client reports.
• Track key metrics such as retention, engagement, conversion, ratings, and churn.
• Identify trends, anomalies, and drop-off points in user journeys.
• Combine quantitative data with user feedback to explain the “why” behind the numbers.
• Build recurring reports and dashboards for the businesses we work with and internal teams.
• Research industry benchmarks and best practices for comparison.
• Recommend prioritized improvements to digital products.
• Follow up after changes ship to measure whether metrics improved.
• Document methods, definitions, and findings in a shared knowledge base.

Skills

Analytical

Methodical

Storyteller

Curious

Discreet

Tools

Google Analytics

Mixpanel

Firebase

Looker Studio

Tableau

Power BI

Job description

About the Role

As a Digital Performance Analyst, you’ll dive into usage reports and analytics to find out how people really use digital products, where they drop off, and what to fix first. You’ll turn numbers into stories and stories into recommendations.

No prior experience is required. If you enjoy spotting patterns in data and explaining what they mean, we’ll train you on the tools and methods.

Key Responsibilities

• Collect and organize usage data from analytics platforms, store dashboards, and client reports
• Track key metrics such as retention, engagement, conversion, ratings, and churn
• Identify trends, anomalies, and drop-off points in user journeys
• Combine quantitative data with user feedback to explain the “why” behind the numbers
• Build recurring reports and dashboards for the businesses we work with and internal teams
• Research industry benchmarks and best practices for comparison
• Recommend prioritized improvements to digital products
• Follow up after changes ship to measure whether metrics improved
• Document methods, definitions, and findings in a shared knowledge base

What We’re Looking For

Required

• Strong written and spoken English; you can explain data simply
• Comfort with numbers, charts, and logical thinking
• Basic proficiency with spreadsheets (Excel or Google Sheets), including formulas and charts
• Strong attention to detail; you double-check your work
• Ability to work independently and meet deadlines
• Reliable internet connection and a quiet workspace
• Legally able to work in Singapore (Singapore Citizen or PR only)

Nice to Have (not required)

• Coursework or degree in data, statistics, business, economics, IT, or a related field
• Experience with Google Analytics, Mixpanel, Firebase, Looker Studio, Tableau, or Power BI
• Basic SQL or Python
• Understanding of product and growth metrics (funnels, cohorts, A/B tests)
• Experience working remotely

Skills and Qualities

• Analytical: you look past the headline number
• Methodical: you work carefully and check your sources
• Storyteller: you turn data into clear, actionable insight
• Curious: you enjoy digging into what drives user behavior
• Discreet: you handle business data with care

Training and Support

• Paid onboarding/probation of 3 months covering our tools, analytics methods, and reporting standards
• Training in data analysis, dashboard building, product metrics, and report writing
• A dedicated mentor or manager for your first 90 days
• Dashboard templates, SOPs, and example projects to learn from
• Growth paths into Product Analyst, Data Analyst, Growth Analyst, or Analytics Lead