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Go1 is a global learning and development platform helping organizations deliver learning in more relevant, timely, and effective ways. The company is investing in product-led growth and new product experiences, including Morgan by Go1, a workforce-enablement product.
You will join Go1's Data Intelligence team as a Senior Data Analyst, a hands-on senior individual-contributor role combining technical depth with strong judgment. You will work closely with Product, Engineering, Customer, Marketing and commercial partners to turn complex product and business questions into clear, decision-ready evidence.
Key responsibilities include:
- Partner with Product, Engineering and business stakeholders to turn ambiguous goals into meaningful decisions and practical analytical approaches
- Lead analysis, metric models, dashboards and reports that improve product, customer and commercial decisions
- Define success measures for new initiatives; identify gaps in event tracking, instrumentation and data quality; work with engineering to resolve them
- Build and own SQL-based analytical products from metric definition through monitoring and improvement
- Communicate rigorous, accessible evidence to technical and non-technical audiences, including recommendations, confidence levels and limitations
- Influence senior functional partners through clear evidence and constructive challenge
- Guide and mentor analysts through solution design, peer review and technical problem-solving
- Use AI tools thoughtfully to improve analytical effectiveness while applying independent judgment
In your first three months, you will build strong relationships with priority partners, understand key domain decisions and existing analytical products, deliver early value on defined analytical problems, and develop a practical view of where better measurement will have the greatest impact.
By six to twelve months, you will lead high-impact analytical work from problem definition through recommendation and adoption, improve the reliability of measurement for priority initiatives, and be recognized as a trusted analytical and technical guide.
Requirements:
- 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 and instrumentation
- Strong analytical judgment, including ability to apply and interpret appropriate statistical methods and communicate limitations clearly
- Experience creating metric models, analyses, dashboards or reports with clear definitions, validation, documentation and ownership
- 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
- Practical, curious approach to solving problems with imperfect information while maintaining high bar for evidence and impact
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 judgment about when specialist support is needed
- Experience with Databricks or comparable modern data-platform tooling
- Experience working in fast-moving, remote-first and cross-functional environment
