Go1 logo
Go1·

Senior Data Analyst - Go1

At Go1, we’re on a mission to help organizations deliver learning and development in more relevant, timely, and effective ways. From a small startup to now a global brand—we’ve grown by solving hard problems, embracing ambiguity, and never standing still.

We’re looking for a Senior Data Analyst to turn complex product and business questions into clear, decision-ready evidence.

This is a hands-on senior individual-contributor role for someone who combines technical depth with strong judgement: defining what matters, making the evidence reliable and helping teams act on it. You will work closely with Product, Engineering, Customer, Marketing, and commercial partners to understand what is happening, why it matters, and what should happen next.

How You'll Fit Into Our Team

You will join Go1’s Data Intelligence team: a cross-functional group of Data Analysts, Business Analysts, Data Engineers, and Data Scientists working alongside teams across the business. Initially, your focus will be product-led growth and new product experiences.

As a Senior Data Analyst, you will lead complex domain analytics while being a generous technical peer. You will help other analysts develop stronger judgement through solution design, peer review, and practical problem-solving.

Where You'll Make an Impact

  • Partner with Product, Engineering, and business stakeholders to turn ambiguous goals into meaningful decisions, measurable questions, and practical analytical approaches.
  • Lead analysis, metric models, dashboards, and reports that improve product, customer, and commercial decisions.
  • Define success measures for new initiatives and product experiences; identify gaps in event tracking, instrumentation, data quality, or availability; and work with engineering partners to resolve them.
  • Frame domain opportunities, compare options, and make trade-offs in confidence, pace, usability, and reuse visible.
  • Build and own SQL-based analytical products—from metric definition, documentation, and validation through to monitoring use and improving what matters.
  • Communicate rigorous, accessible evidence to technical and non-technical audiences, including recommendations, confidence levels, and limitations.
  • Guide and mentor analysts through solution design, peer review, and technical problem-solving.
  • Use AI tools thoughtfully to improve analytical effectiveness while applying independent judgement and protecting sensitive information.

What You'll Bring to the Role

  • Strong SQL capability and confidence working with complex, imperfect, and evolving data.
  • Experience building and maintaining analytical solutions in a modern data warehouse and BI environment.
  • Demonstrated experience taking a stakeholder problem from discovery through to insight, recommendation, and decision support.
  • Experience partnering with Product and Engineering on metrics, event tracking, data availability, instrumentation, or implementation quality.
  • Strong analytical judgement, including the ability to apply and interpret appropriate statistical methods.
  • Evidence of senior-level contribution through mentoring, quality assurance, reusable standards, or technical leadership.
  • Clear written and verbal communication with technical and non-technical audiences.

Nice to Have

  • Python experience for analysis, automation, or modelling.
  • Product analytics, product-led growth, experimentation, engagement measurement, or B2B SaaS experience.
  • Exposure to data science methods and sound judgement about when specialist support is needed.
  • Experience with Databricks or comparable modern data-platform tooling.
  • Experience working in a fast-moving, remote-first, and cross-functional environment.

Benefits & Perks

  • Annual bonus or commission plan.
  • Employee Stock Option Plan (ESOP).
  • Public Holiday Swap: Swap a public holiday for another preferred day.
  • Flexible Working: Fully remote organisation with team events and travel throughout the year.
  • Wellbeing & Learning Days: An additional 5 days of paid leave per year.
  • Learning Budget: $500 USD per financial year, plus access to additional Career Growth Budget.
  • WFH/Transport Budget: Monthly allowance for internet/phone expenses or public transport.
  • Home Office Setup Budget: One-off allowance for desk, chair, and/or monitor.
  • Parental Leave: Minimum of 18 weeks paid parental leave for primary carers + 6 weeks paid parental leave for secondary carers.
  • Wellbeing Support: Access to counselling and wellbeing initiatives.

Timezone overlap

UTC+8–+12

Open to

APAC

Sign in to track applications and earn points.

More roles at Go1

Similar remote roles