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Lead Analytics/ Data Engineer (Looker, LookML, Retail) || Remote

Remote • Posted 5 hours ago • Updated 5 hours ago

Contract W2

6 Months

No Travel Required

Remote

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Analytics
Business Intelligence
Brand
DTC
Dashboard
Enterprise Resource Planning
NetSuite
SQL
Snow Flake Schema
Semantics
Startups
Retail

Summary

Must have retail/ecommerce recent background – this company is an online clothing brand – needs similar background industry experience
This role centers on owning and governing our Looker semantic layer specifically – deep looker and LookML expertise
Needs smaller / startup company recent experience. Someone who has only worked for huge companies will NOT work.
Ownership of a single retail/ecommerce company''s Looker + Snowflake + Shopify/NetSuite/daasity/toolio/fivetran stack

Establish and enforce naming, ownership, and documentation standards for Snowflake schemas and objects — including flagging tables with no downstream Looker reference or owned by generic/departed-employee service accounts

Build and maintain reconciliation logic between systems (e.g., Shopify ↔ NetSuite ↔ Avalara tax reconciliation, order statfulfillment lifecycle across Shopify → NetSuite → Twin Oaks)

Design, build, and refactor LookML models, explores, views, and derived tables that map cleanly to underlying Snowflake objects — not 1:1 dashboard-driven sprawl

Required Qualifications

7+ years in BI/analytics engineering with production Looker/LookML experience (models, explores, derived tables, PDTs, access filters) — not just dashboard consumption
4+ years of advanced SQL in Snowflake or a comparable cloud warehouse (window functions, incremental merge patterns, query performance tuning)
Direct experience with retail/ecommerce data models: order lifecycle, fulfillment, inventory, returns, customer/CDP data — ideally spanning a DTC platform (Shopify/BigCommerce/Salesforce Commerce) plus an ERP (NetSuite, Microsoft Dynamics, SAP)
Experience working within a vendor-managed or templated ELT/transformation framework (Daasity, Fivetran + dbt, Matillion, or similar) — comfortable extending vendor patterns without introducing untracked one-offs

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91140717
Position Id: 9051930
Posted 5 hours ago

Contact the job poster

Ashish Joshi

Recruiter @ AKAASA Technologies

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