Data Analyst

At Higgsfield, growth runs on data, and this role owns it.

This role owns the analytical engine behind growth:

• Data parsing & pipelines
• Dashboards & reporting
• Funnel analysis
• Insight & hypothesis generation

You make sure:

• The growth team always knows what's working, what's not, and why
• Every channel, cohort, and funnel step is measured accurately
• Hypotheses that could grow reach and revenue are surfaced constantly
• Decisions are made on data, not gut feeling

You are the person who turns raw data into growth.

• Parse, clean, and structure data from multiple sources: product, marketing, and payments.
• Own ETL processes.
• Build and maintain dashboards the growth team will use daily.
• Analyze the full funnel, from acquisition and activation to conversion, retention, and revenue, and find where we're suboptimal.
• Reconcile numbers across Sheets, dashboards, and analytics tools.

• Constantly look for insights: anomalies, patterns, and opportunities.
• Generate and prioritize hypotheses that could increase our reach and revenue.
• Turn analysis into clear, human-readable recommendations: visualize data for humans, not for other analysts.
• Flag inconsistencies, broken tracking, or incorrect assumptions early, and drive fixes.

• Answer the team's data questions fast, so growth managers can move without waiting.
• Help design experiments and measure their results honestly.
• Automate repetitive workflows: data collection, reporting, dashboard refreshes.
• Use tools like Google Sheets, SQL, Python, APIs, or scripts – we use AI heavily, so resourcefulness beats syntax.
• Reduce manual work and increase reliability as volume scales.

We’re looking for a high-agency analyst.

You should have:

• Proficiency in Google Sheets and SQL.
• Python at entry level is fine – we use AI heavily, resourcefulness matters more than syntax.
• Understanding of ETL processes and how data moves between systems.
• Ability to visualize data for humans: clear, decision-ready charts.
• An always-on instinct for insights.
• Resourcefulness, responsibility, and an ownership mindset: you get things done.
• Clear written and spoken English, B2+ level.

Backgrounds that often do well:

• Data or marketing analytics with strong execution bias
• Growth Ops / BizOps people
• Early startup analysts who built reporting from scratch

This role is not a fit if you:

• Wait to be told what to analyze
• Prefer building models over driving decisions
• Need perfect data before you can say anything useful
• Are uncomfortable presenting findings and pushing back
• Want predictable 9–5 workdays

We move fast:

• Screening call (30 min)
• Technical interview & case study (1.5 hours)
• Practical home task (72 hours)
• Team interview (60 min)
• Paid on-site trial (2 weeks)

• Competitive salary in USD;
• On-site role in Almaty, Kazakhstan;
• Relocation support (flight + temporary housing);
• Flat structure, high autonomy, fast career growth.