Growth - Data Analytics

Why work at Higgsfield AI?

Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.

We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.

What This Role Means at Higgsfield

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.

What You Will Do

Data & Analytics

• 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.

Insights & Hypotheses

• 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.

Enabling the Growth Team

• 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.

Who We’re Looking For

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

What This Role Is Not

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

Hiring Process

We move fast:

1. Screening call (30 min)

2. Technical interview & case study (1.5 hours)

3. Practical home task (72 hours)

4. Team interview (60 min)

5. Paid on-site trial (2 weeks)

The Deal

• Competitive salary in USD;

• On-site role in Almaty, Kazakhstan;

• Relocation support (flight + temporary housing);

• Flat structure, high autonomy, fast career growth.