Wagmo is looking to hire a Senior Data Analyst to turn data into decisions that accelerate revenue, margin, and operational efficiency by owning the data foundation, analytics and reporting across the funnel.
Requirements
- Advanced SQL; modeling with dbt on BigQuery (or similar); Git workflows; strong visualization instincts (Tableau or analogous BI).
- Track record of owning SQL/dbt pipelines, building executive-ready dashboards, and turning business questions into decision-grade insights.
- Fluency in SaaS metrics (LTV/CAC, payback, retention/cohorting, pipeline), experimentation, and unit economics.
- Track record turning ambiguous questions into clear metrics, analyses, and decision-ready recommendations that move KPIs.
- Experience with BigQuery, Fivetran, GitHub, Slack, Notion.
- Experience with dbt models/semantic layers.
- Experience with CI/CD, code reviews, and reliable backfills.
Responsibilities
- Technical data modeling & analytics engineering: Translate ambiguous questions into precise logic and performant SQL; design and maintain robust, explorable dbt models/semantic layers.
- Own end-to-end build in dbt/SQL/Git with tests (schema/uniqueness/RI), CI/CD, code reviews, and reliable backfills.
- Deliver production-grade marts and dashboards that are accurate, maintainable, and easy to self-serve.
- Build executive-ready reporting.
- Automate self-serve dashboards and scheduled reports for weekly business reviews, monthly close, OKR reviews, and board materials; drive adoption and data literacy across teams.
- Lead growth & revenue analytics.
- Analyze the end-to-end funnel; quantify drivers of acquisition, conversion, retention, and expansion; size opportunities and recommend actions with clear impact estimates.
Other
- 3+ years in data analytics, business intelligence, or data engineering (ideally in high-growth SaaS/consumer tech)
- Proven track record of working autonomously with strong organizational, prioritization, and time management skills.
- Preference for experience in start-ups or fast-growing, scaling companies.
- Clear, concise communicator able to frame trade-offs, persuade with data, and align cross-functional stakeholders.
- Organized, autonomous, and comfortable operating in a fast-moving, high-ownership environment.
