38995246208 - Data Implementation & Analytics Specialist

Activate Talent; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

A leading fashion eCommerce brand seeks a data pro for Northbeam implementation. This fully remote role involves deep data analysis, strategic insights generation, and cross-functional collaboration. Ideal candidates are skilled in eCommerce data, Google platforms, and effective communication of complex findings.

Qualifications

• 3+ years in eCommerce data analytics or marketing tech.
• Proven experience with Northbeam or similar MTA platform.
• Strong SQL skills, translating findings into business actions.

Responsibilities

• Lead Northbeam deployment and data stream mapping.
• Design ELT workflows for data warehousing and reporting.
• Train teams on analytics outputs and present findings.

Skills

eCommerce data analytics

Deep expertise with Google Analytics 4

SQL fluency

Data storytelling

Experience in marketing tech implementation

Tools

Google Ads

BigQuery

Northbeam

Fivetran/Airbyte

Job description

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/BigQuery, 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) & BigQuery 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

1. 30 Days: Northbeam architecture designed, implementation timeline locked, key stakeholders trained on data prerequisites
2. 60 Days: Core data feeds live, attribution models yielding actionable insights, first dashboards shipped
3. 90 Days: 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, BigQuery, 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, TikTok, Snap, Amazon Ads)
• Knowledge of privacy frameworks (GDPR, CCPA) and server-side tracking best practices