Growth Tech Data Analyst – Paid Marketing

Gravity IT Resources; Mountain View (CA); Hybrid; USD 90,000 - 92,000; Part time

Job summary

Gravity IT Resources seeks a Marketing Data Analyst to support paid channel campaigns using SQL-first approaches. You will build audiences and conversion signals sent to ad platforms while troubleshooting data signals across marketing systems.

The role emphasizes collaboration with growth marketing, analytics, engineering, and BI teams, with opportunities to explore AI-driven automation to boost velocity and improve data infrastructure.

Qualifications

• Minimum 2 years’ experience in a quantitative field.
• Proficient in SQL.
• Experienced in activating audiences, campaign link setup, and conversions in paid marketing platforms (e.g., Google, YouTube, Snapchat, TikTok, Facebook).
• Familiar with mobile measurement platforms (Branch.io, Kochava) for mobile campaign analysis.
• Experience building audiences and conversions via SQL for marketing campaigns.
• Knowledge of audience and conversion APIs and conversion optimization on mobile DSPs.
• Proven ability to manage complex projects with multiple stakeholders.
• Analytical skills with attention to detail and accuracy.

Responsibilities

• Write, optimize, and maintain SQL queries to build marketing audiences.
• Enable and QA audience segments end-to-end across platforms.
• Own conversion and audience data sets from warehouse to CDP delivery.
• Build SQL-based checks for conversion tracking and attribution across the paid funnel.
• Manage technical implementation across paid channels (Google, Meta, TikTok, Snapchat, DSPs).
• Diagnose tracking and attribution issues at the data level using SQL.

Skills

SQL

Audience Activation

Mobile Measurement

Campaign Tracking

Tools

BigQuery

Branch.io

Kochava

Google Tag Manager

Job description

Gravity IT Resources seeks a Marketing Data Analyst to support paid channel campaigns using SQL-first approaches. You will build audiences and conversion signals sent to ad platforms while troubleshooting data signals across marketing systems.

The role emphasizes collaboration with growth marketing, analytics, engineering, and BI teams, with opportunities to explore AI-driven automation to boost velocity and improve data infrastructure.