Higgsfield

Growth - Data Analytics

Almaty, Kazakhstan

Pay: Pay not listed
Work setting: On-site — work setting source
Location type: On-site
From the employer’s posting
Employment: Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team: Marketing & Sales — team source
Department: Marketing & Sales
From the employer’s posting

Before you apply

Sponsorship: Visa sponsorship not confirmed — sponsorship source
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Apply at Higgsfield

What you’ll work on

Full posting

Parse, clean and structure data from product, marketing and payments sources
Own ETL processes and keep reporting reliable as volume grows
Build and maintain dashboards the growth team uses daily
Analyze the full funnel from acquisition to revenue and find weak spots
Generate and prioritize hypotheses to increase reach and revenue

From the employer’s posting

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.

Generate and prioritize hypotheses that could increase our reach and revenue.

What you’ll bring

All qualifications

Core experience

Proficiency in Google Sheets and SQL
Entry-level Python skills
Understanding of ETL processes and how data moves between systems
Ability to visualize data as clear, decision-ready charts
Clear written and spoken English, B2+ level

Qualification wording

Proficiency in Google Sheets and SQL.

Python at entry level is fine

Understanding of ETL processes and how data moves between systems.

Ability to visualize data for humans: clear, decision-ready charts.

Clear written and spoken English, B2+ level.

Tools in this posting

Python
SQL

Source

- 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.

- 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.

You should have: - Proficiency in Google Sheets and SQL. - Python at entry level is fine – we use AI heavily, resourcefulness matters more than syntax.

Benefits in the posting

Full benefits wording

Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth.
Relocation support to Almaty for candidates moving from another city or country.

From the employer’s posting.

Posting record

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Open 3 monthsWe first saw this listing 92 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jul 22, 2026 · 92 days ago
Recorded sightings: 129
Last seen by us: Oct 23, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

Why work at Higgsfield AI?

Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B 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:

Screening call (30 min)
Technical interview & case study (1 hour)
Practical home task (7 days)
Team interview (60 min)
Paid on-site trial (1 month)

What We Offer

Competitive base salary in USD, based on your experience, skills, and the scope of the role.
Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth.
Relocation support to Almaty for candidates moving from another city or country.
A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company.
Opportunities for professional growth, ownership, and career development as the company scales.
Company-provided equipment, meals, transportation, or other office benefits.

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