Data Implementation & Analytics Specialist
Listed on 2026-01-09
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IT/Tech
Data Analyst, Digital Marketing
Schedule: Full-Time, Monday to Friday, 8am to 5pm
Location: 100% Remote
Time zone: PST (Pacific Time Zone)
Contract: Independent contractor
Duration: Long Term
Payment: Open to be negotiated
About the client:
This Los Angeles-based fashion brand has become one of the most recognizable names in fast fashion, known for its bold, trend-driven styles and strong presence across social media. With a focus on body-inclusive designs and rapid product turnover, the company has built a loyal global following by delivering affordable, influencer-backed fashion at scale.
About the role
A fast-paced, high-volume fashion eCommerce brand is rolling out Northbeam as its new multi-touch attribution platform. We’re looking for a data pro who can own the end-to-end implementation, stitch data across Google’s marketing stack, and turn raw signals into crystal-clear insights the growth team can act on daily.
What You’ll Tackle
Northbeam Deployment
- Lead discovery, scoping, and phased rollout
- Map & validate data streams (Shopify/Big Query, marketing APIs, pixel events)
- Build and QA multi-touch attribution models that reflect real customer journeys
Google Ecosystem Mastery
- Configure GA4, GMP (Ads, CM360, SA360) & Big Query for clean data hand-offs
- Establish rigorous UTM conventions & server-side tracking to improve signal loss post-iOS 17
Data Pipeline & Warehousing
- Design ELT workflows (Fivetran/Airbyte or equivalent) feeding a centralized warehouse
- Own schema management, data quality monitoring, and automated anomaly alerts
Reporting & Insight Generation
- Develop Looker/Tableau dashboards that surface daily cohort ROAS, MER, and LTV
- Run ad-hoc analyses (SQL, Python, or R) that influence budget allocation and creative testing
Cross-Functional Enablement
- Train channel managers on reading Northbeam & GA4 outputs
- Partner with dev team on tag governance and site-speed impact
- Present findings to executive leadership in plain English
Success Milestones
Northbeam architecture designed, implementation timeline locked, key stakeholders trained on data prerequisites
Core data feeds live, attribution models yielding actionable insights, first dashboards shipped
Full funnel visibility achieved, lift in blended ROAS tracked, data QA processes automated
Must-Have Qualifications
- 3+ years hands-on experience in eCommerce data analytics or marketing tech implementation
- Proven Northbeam (or similar MTA platform) setup— pixel, API, server-side, & event taxonomy
- Deep expertise with Google Analytics 4, Google Ads, Big Query, and Consent Mode
- SQL fluency; comfortable writing and optimizing complex queries
- Familiarity with Shopify (or comparable cart) data structures & event payloads
- Strong storytelling chops—able to translate technical findings into clear business actions
- Track record of improving attribution accuracy and driving growth team efficiency
Bonus Points
- Python/R scripting for advanced modeling or automation
- Experience in a high-SKU, drop-heavy fashion or beauty environment
- Prior work with ad platforms beyond Google (Meta, Tik Tok, Snap, Amazon Ads)
- Knowledge of privacy frameworks (GDPR, CCPA) and server-side tracking best practices
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