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Marketing Data Analyst
Compensation: $65-67/hr
Location: Hybrid (3 days a week on site) – Charlotte, NC
Job Type: Contract (6+ months with opportunity to convert)
About the Role
The Marketing Data Analyst is key to driving the company’s paid marketing engine, sitting at the intersection of the marketing and analytics teams. This person will help establish, optimize, and enable complex marketing initiatives through hands-on, SQL-first support of paid channel marketing campaigns — building the audience and conversion signals that get sent to ad platforms, and troubleshooting issues when those signals break down.
This is a highly collaborative, stakeholder-facing role. You’ll sit close to the marketers you support, field and prioritize requests from multiple stakeholders at once, and be expected to explain and defend how you’re prioritizing your work. You’ll also have room to pursue self-directed AI and automation projects that improve team velocity — this team is actively investing in applying AI to its own workflows and gives real latitude to pursue ideas that improve efficiency.
What You Will Do
Data & Audience Engineering
- Write, optimize, and maintain SQL queries in a cloud data warehouse (e.g., BigQuery) to build, transform, and manage paid marketing audiences, translating marketer targeting requirements into precise, reproducible audience logic.
- Work comfortably across multi-table joins — knowing which tables data lives in, what fields to join on, and how to construct a query that satisfies a given ad platform’s schema requirements.
- Pick up queries written by others (of varying complexity) and troubleshoot them: identify where a join, filter, or expression is suppressing records or breaking the pipeline.
- Enable and QA audience segments end-to-end: validate segment logic and counts, apply suppressions, and push audiences to paid platforms (e.g., Google Customer Match, Meta Custom Audiences, Segment, LiveRamp).
- Own conversion and audience data sets through the pipeline, from warehouse query to JSON config to CDP delivery, ensuring accuracy, freshness, and completeness of signals reaching each platform.
- Build SQL-based checks and diagnostics for conversion tracking, campaign performance, and attribution coverage across the paid funnel.
Technical Operations
- Manage technical implementation and troubleshooting across a growing list of paid channels (Google, Meta, TikTok, Snapchat, DSPs). Note: this role builds and delivers the conversion signals and audiences that power campaigns — it does not build or run the campaigns themselves, which stay with the marketing team.
- Diagnose tracking and attribution issues at the data level, investigating click-tracking gaps, missing user IDs, and cross-platform discrepancies using SQL against internal marketing tables.
- When troubleshooting a live campaign issue, go into the relevant ad platform to review campaign setup (e.g., deep links vs. redirect links) as part of root-causing the problem.
Channel & Stakeholder Management
- Lead technical integration of new marketing channels and support scaling campaigns with the right audience and conversion signals.
- Optimize campaign performance through data analysis and technical improvements.
- Partner directly with growth marketing, analytics, engineering, and BI teams, turning ambiguous requests into clear SQL logic and data solutions, and sharing results and learnings back with stakeholders.
- Independently prioritize competing requests from multiple marketing stakeholders and clearly communicate that prioritization.
Process Development
- Create technical documentation, query templates, and best practices for the Growth Tech team.
- Advocate for efficient, accurate, and innovative data solutions, and drive process improvements for marketing operations and data infrastructure.
What’s Great About It
- Directly measurable impact on the business and the financial progress of 100MM+ members.
- Fast-paced team pushing the cutting edge of marketing technology.
- Highly cross-functional role with strong growth opportunities across several disciplines.
- Extremely data-driven organization with deep appreciation for technology and how to leverage it for better member experiences.
- Genuine room to pursue self-directed AI/automation projects that improve team or marketing workflows, with strong autonomy to run with good ideas.
- Influence over product roadmaps and the team’s tech stack.
Skills
Minimum/Basic Requirements
- 1.5–2+ years of experience in marketing specifically (not just a general quantitative field) — hands-on experience within a marketing team, agency, or similar setting supporting paid campaigns is strongly preferred over a general data/analytics/BI background.
- Comfortable reading, writing, and troubleshooting SQL. Deep SQL mastery isn’t required at hire — candidates who are early in their SQL skills but ramp quickly (especially with the help of AI tools) can succeed in this role.
- Understands the marketing campaign lifecycle end-to-end (“pitch to pay”) and how conversions and audiences move into ad platforms.
- Experience activating audiences, campaign link setup, and conversions on paid marketing platforms (e.g., Google, YouTube, Snapchat, TikTok, Facebook).
- Familiarity with mobile measurement platforms (e.g., Kochava, Branch.io) for mobile campaign analysis, including mobile device/advertiser identifiers (Android and iOS).
- Experience building audiences & conversions via SQL for marketing campaigns.
- Knowledge of audience & conversion APIs and conversion optimization on mobile DSPs.
- Proven ability to manage complex projects with multiple stakeholders.
- Strong analytical skills with attention to detail and accuracy.
Preferred Qualifications
- Demonstrates strong ownership with well-developed problem-solving skills.
- Strong written and verbal communication skills.
- Experience with server-side tagging via Google Tag Manager.
- Hands-on, high-capacity doer and multi-tasker.
- Experience with full-funnel marketing KPIs, campaign execution, optimization, and sharing results/learnings with stakeholders.
- Personal or side-project experience building AI agents or automations — genuinely valued given the team’s active investment in applying AI to its own workflows.
- Any SQL-based data warehouse experience is transferable, even without direct BigQuery experience.
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Equal Employment Opportunity Statement
Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.