Forward Deployed Data Analyst

Fig Labsis building theFigAnalytics Agent—an AI agentic analyst that monitors business data 24/7, explains what changed and why, and recommends next-best actions. We help organizations move from static dashboards toagentic analytics— systems that think, learn, and act.We’re hiring aForward Deployed Data Analystto work directly with customer data, define metrics trees across domains, and implement them on Snowflake, Databricks, and BigQuery. You’ll also codifyagentic analyticsbest practices (prompts, patterns, and QA) so our agent delivers deep, trustworthy insights.What you’ll doDesign domain-specific metric treesthat map business outcomes to drivers and granular KPIs for industries such as:Sales & Revenue Operations (forecast, pipeline, attainment)Marketing Analytics (funnel efficiency, attribution, engagement)Retail Analytics (product availability, store execution, promotions)Supply Chain Analytics (inventory turns, order fill rate, forecast bias)Own end-to-end analytics buildsfor customers: from source profiling → modeling → metric definitions → validation → visualization → AI-agent prompts.Implement metrics on modern cloud data platforms(Snowflake, Databricks, BigQuery) usingSQL(and dbt or equivalent) with tested, reusable patterns.Author agentic analytics promptsfor the Fig Analytics Agent:Few-shot exemplars, tool-use patterns, system/task prompts, safety/guardrails, evaluation criteria, and correction loops.Create visualization playbooks(chart choices, small-multiples, uncertainty bands, baseline/target overlays) to communicate insights clearly.Partner with stakeholders(RevOps, Marketing Ops, Merch/Ops, Supply Chain, Finance) to translate questions into analyzable hypotheses and decision-ready outputs.Harden quality : write QA queries, metric unit tests, anomaly checks, and reconciliation steps (source vs. modeled vs. dashboard).You’ll be great at this if you haveExpert SQL(window functions, CTEs, semi-structured data, performance tuning) and strong experience onSnowflake, BigQuery and/orDatabricks.Experience with RevOps, marketing analytics, retail analytics, or supply-chain analytics (consulting or forward-deployed roles a plus)Hands-on withdata modeling(star schemas, facts/dimensions, SCDs), semantic layers, anddbt(or similar) best practices.Provenvisualization sense(knowing when to use bars/lines, cohort heatmaps, waterfalls, funnel and Sankey for flow, control charts for stability, prediction intervals).Comfortable building and validating metrics for:Funnel analysis(MQL→SQL→Opportunity→Win)Forecasting & reconciliation(weighted pipeline, quota/target alignment, MAPE/WAPE)Cohort & retention ,RFM/segmentationMarket Basket Analysis/affinity ,ABC/XYZ classificationAttribution(rules-based, simple MMM/MTA concepts)A/B testingbasics and lift analysisAnomaly detection& outlier triageFamiliarity withagentic/LLM workflows(prompt design, few-shot patterns, retrieval/context packaging, evaluation/guardrails) or strong motivation to learn fast.Excellent stakeholder communication—turn ambiguous questions into crisp hypotheses, datasets, and decisions.What success looks like (90 days)30 days:Current customer schema profiled; baselinemetrics treedrafted for one domain (e.g., Sales) and validated with stakeholders.60 days:Metrics implemented on a target platform (Snowflake/Databricks/BigQuery) with QA checks; firstagentic promptsproducing reliable, cite-able analyses.90 days:Reusableagentic analytics playbook(prompts + SQL patterns + tests + viz guide) shipped; two domains live (e.g., Sales + Marketing) with measurable decision impact.Why JoinBe part of a team shaping the future ofautonomous analytics agents .Work directly with the founder team onreal customer datasets and live demos .Ship high-impact analytical content seen by enterprise audiences.100% remote and flexible — output and curiosity matter more than location.