Growth - Data Analytics
1 мес. назад
KazakhstanCISOnsite
etldata parsingdashboard buildingfunnel analysis
Responsible for driving growth through data parsing, dashboards, funnel analysis, and insights generation at a generative AI company.
Как откликнуться
- 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)
Другое
- 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.
- 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
- 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
- • Competitive salary in USD;
- • On-site role in Almaty, Kazakhstan;
- • Relocation support (flight + temporary housing);
- • Flat structure, high autonomy, fast career growth.