Temp Senior Analyst, Customer & Behavioral Insights

David Yurman•New York, NY

45d•Hybrid

About The Position

We’re looking for a hands-on Senior Analyst to answer high-value questions about what drives customer lifetime value and to help enrich our CRM with behavioral data. You’ll dig into purchase patterns, geographies, product preferences, and engagement signals to understand: Which behaviors or attributes actually move LTV? Are they changing over time? When do customers fall off? What’s different about customers who move from silver → gold tiers? This role is for someone who can do the analysis and communicate clear, tight, actionable summaries for business stakeholders.

Requirements

Advanced SQL (4–6+ years): complex joins, CTEs, window functions, building cohorts directly from transactions / customer tables.
Strong customer data background (retail, ecommerce, or similar).
Comfortable validating, reconciling, and questioning when numbers don’t line up
Experience turning vague asks (“are our high-value customers changing?”) into structured analysis.
Comfortable in Snowflake/BigQuery or similar

Nice To Haves

Tableau or Sigma for building exec-facing views / self-serve assets.
GA4, Adobe Analytics, or similar for behavioral/digital funnel signals.
Retail / luxury / loyalty exposure.

Responsibilities

Analyze purchase behavior (first product, AOV, category mix, gifting vs self, channel, promo sensitivity) to determine impact on LTV and retention.
Identify location / store / market-level attributes that correlate with higher value or faster repeat.
Build time-based and cohort views to answer: Are LTV drivers changing over time? Are recent cohorts better/worse than LY? At what tenure/age do customers fall off? What’s different about customers who upgrade (e.g. silver → gold)?
Chase down data owners and source teams to validate, reconcile, and ensure what we publish is trusted.
Present concise, business first findings to non-technical partners