<div><h2><!---->About the job<!----></h2><div><p><span></span></p><p><span><strong><!---->Experience:<!----></strong></span><span></span>3+ years experience in a similar role.<!----></p><span><p><span><br></span></p></span><span><p><span><strong><!---->The role<!----></strong></span></p></span><span><p><!---->Gaia is building the category-defining family building company. We are looking for a company-wide Data Analyst to serve as the analytical spine of the company, turning data into insights to better inform decisions across Product, Growth, Operations, and Finance<!----></p></span><span><p><!---->This is a high-impact, hands-on role. You will own Gaia’s source of truth, proactively surface insights, and raise the bar on how the company uses data to operate, prioritize, and scale.<!----></p></span><span><p><span><br></span></p></span><span><p><span><strong><!---->What will you own?<!----></strong></span></p></span><span><ul><li><!---->Company-wide analytics and source of truth data for our BI to<!----></li><li><!---->Responsible for the delivery and usage of the data pipeline, including how the data is modelled<!----></li><li><!---->Own and maintain core dashboards and metrics<!----></li><li><!---->Ensure data is accurate, trusted and decision ready through daily monitoring - this includes data backfill when needed<!----></li><li><!---->Define and evolve the metrics used to run Gaia<!----></li><li><!---->Surface leading indicators<!----></li><li><!---->Partner with product and engineering to ensure data requirements are taken into account before development work happens, defining the right questions, surfacing insights and supporting decision making<!----></li><li><!---->Modelling, monitoring, experimenting and forecasting<!----></li></ul></span><span><p><span><br></span></p></span><span><p><span><strong><!---->Who are we looking for?<!----></strong></span></p></span><span><p><!---->Former Growth, Ops, or BizOps analysts who want to move closer to real decisions and accountability<!----></p></span><span><ul><li><!---->Analysts who have sat in high-velocity teams to understand funnels, unit economics, trade-offs, and constraints.<!----></li><li><!---->Comfortable with our current data stack of Python, SQL, dbt, Prefect, Omni (or a similar BI tool) and Fivetran<!----></li><li><!---->You are data curious, and won’t hesitate to challenge business decision with relevant insights<!----></li><li><!---->You know how to balance speed and thoroughness - you like going down data rabbit holes to deeply understand a problem but also know when to make do with available data to make quicker decisions when needed<!----></li></ul></span><span><p><span><br></span></p></span><span><p><span><strong><!---->Technical competencies Essential<!----></strong></span></p></span><span><ul><li><!---->SQL<!----></li><li><!---->Familiarity with any modern bi tool: Omni, Looker, Metabase, Tableau etc<!----></li><li><!---->Excel<!----></li><li><!---->Python<!----></li></ul></span><span><p><span><strong><!---->Nice to haves<!----></strong></span></p></span><span><ul><li><!---->dbt<!----></li><li><!---->data warehouse experience: snowflake, big query, redshift, databricks etc<!----></li><li><!---->Use of data extractions tools: fivetran, air byte, stitch etc<!----></li><li><!---->Use of data orchestration tools: Airflow, Prefect, Dagster etc<!----></li><li><!---->Familiar with hubspot<!----></li></ul></span><span><p><span><strong><!---->What success look<!----></strong></span><!---->s<span></span><span><strong><!---->like<!----></strong></span></p></span><span><ul><li><!---->High data richness, quality and accuracy<!----></li><li><!---->Consistent metrics used to make decisions<!----></li><li><!---->Faster, higher-quality decisions across Product, Growth, Finance and Operations<!----></li><li><!---->Clear visibility into funnel health, unit economics, and operational leverage<!----></li><li><!---->Fewer surprises, earlier course-correction<!----></li></ul></span><span><p><span><strong><!---->How do we work:<!----></strong></span></p></span><span><ul><li><!---->We move fast and ship several times a day<!----></li><li><!---->We collaborate closely with business functions and tech early and fre<!----><a><!---->quently<!----></a></li><li><a><!---->We use a modern dat<!----></a><!---->a stack<!----></li><li><!---->We keep things simple while always re<!----><a><!---->ady to embrace the latest techn<!----></a><!---->ologies when relevant<!----></li></ul></span><p></p><button><span>…show more</span></button><!----></div></div>