Data Analyst, Business

What You’ll Own

• Partner with a Product squad as the embedded analyst — sizing opportunities, instrumenting launches, evaluating experiments, and making sure the team's decisions are grounded in the actual data.
• Own end-to-end analyses: framing the question with a stakeholder, writing the SQL, modelling the data, building the visualisation, and delivering a recommendation people can act on.
• Build and maintain the dashboards and self-serve tooling (Hex / Amplitude / similar) that your stakeholders use weekly — and evolve them as the business evolves.
• Define and document key product and business metrics in partnership with the Analytics Engineering team, so "what does activation mean?" has one canonical answer across Linktree.
• Translate complex findings into plain-language recommendations for non-technical audiences — PMs, marketers, and leaders — through written memos, dashboards, and the occasional well-crafted slide.
• Be a daily user of (and advocate for) good data hygiene: clear metric definitions, reproducible queries, and version-controlled analyses.

Who We’re Looking For

• 2–3 years of experience as a data, business, or product analyst in a fast-moving consumer or B2B product environment.
• SQL-fluent — comfortable with joins, window functions, CTEs, and modelling event-level data into something a stakeholder can actually use. Bonus points for working knowledge of Python (pandas) or dbt.
• Worked with a modern data warehouse (Snowflake, BigQuery, Redshift) and a BI/visualisation tool (Looker, Mode, Tableau, or similar).
• Can take an ambiguous business question, scope it, and deliver a recommendation — not just a chart.
• Strong written and verbal communication skills, and a track record of working closely with non-technical stakeholders.
• Thrive in environments with autonomy and ambiguity, and motivated by your work showing up in real product decisions.