Data Analyst (Looker & Marketing Analytics)

About the Company

We are a fast-growing company delivering managed capital-raise marketing services for issuers, powered by a robust Looker-based data infrastructure. Our Marketing Services team combines data, analytics, and performance marketing to help clients make informed decisions and optimize campaign performance.

As we continue to grow, we're looking for a highly analytical Data Analyst who thrives at the intersection of marketing analytics and business intelligence. This role plays a critical part in ensuring our reporting is accurate, actionable, and client-ready.

About the Role

We're looking for a Data Analyst specializing in Looker and Marketing Analytics to bridge the gap between our data engineering team and our marketing operations team.

This is a highly hands-on role where you'll own the quality assurance of reporting, build dashboards, enhance LookML models, validate marketing data pipelines, and ensure stakeholders have reliable insights for decision-making.

This is not a general data analyst position . We're looking for someone with a strong understanding of paid media performance, attribution modeling, marketing funnels, and campaign analytics , who can identify reporting issues before they reach clients.

The engagement begins with a 30-day contract with the opportunity to transition into an ongoing monthly retainer based on performance and business needs.

Key Responsibilities

• Own quality assurance for all Looker dashboards and campaign forecast Explores before reports are shared with strategists or clients.
• Identify and resolve data discrepancies, attribution issues, and reporting inconsistencies using paid media expertise.
• Build and maintain new Looker dashboards based on evolving marketing reporting needs.
• Develop, update, and optimize LookML models, dimensions, measures, and reporting logic .
• Verify and maintain integrations between advertising platforms, CRM systems, and campaign data sources.
• Monitor data pipelines to ensure reporting accuracy and integrity.
• Act as the primary liaison between the Marketing team and the Data Engineering team by scoping, prioritizing, and translating reporting requests.
• Produce clear, concise, plain-language performance summaries for both internal stakeholders and client-facing reports.
• Recommend improvements to reporting workflows, dashboard usability, and marketing analytics processes.
• Ensure data governance and reporting standards are consistently maintained.

Required Qualifications

• Proven experience owning or leading a Looker implementation or migration from end to end.
• Strong hands-on experience developing and maintaining LookML .
• Solid understanding of paid media analytics , including:
  • ROAS
  • Attribution models
  • Marketing funnels
  • Channel taxonomy
  • Campaign performance metrics
• Experience building scalable dashboards and reporting solutions in Looker.
• Strong analytical and troubleshooting skills with exceptional attention to detail.
• Ability to independently manage priorities across multiple teams.
• Excellent communication skills with the ability to explain technical findings to non-technical stakeholders.
• Comfortable working in a fast-paced, remote environment with cross-functional teams.

Preferred Qualifications

• Experience integrating HubSpot data into reporting environments.
• Knowledge of Google Analytics (GA4) session and attribution modeling.
• Familiarity with sponsored content, partnership marketing, or campaign reporting structures.
• Experience working alongside marketing operations or performance marketing teams.
• Experience with SQL and modern marketing data warehouses is a plus.

Tools & Technologies

• Looker
• LookML
• SQL
• Google Analytics (GA4)
• HubSpot
• Paid Media Platforms (Google Ads, Meta Ads, LinkedIn Ads, etc.)
• CRM & Marketing Data Integrations

What Success Looks Like

• Marketing dashboards are accurate, reliable, and client-ready.
• Reporting issues are identified and resolved before reaching stakeholders.
• Data pipelines remain healthy and integrations function consistently.
• Marketing teams receive timely, actionable reporting that supports strategic decision-making.
• Communication between marketing and data teams is streamlined and efficient.