Jr. Marketing Operations & Data Analyst - (Austin, TX)

ShipperHQ • Austin, TX

1d • Hybrid

About The Position

We’re looking for a technical, data-driven marketing analyst to help scale ShipperHQ’s marketing operations across SEO, AEO, and performance marketing. This is an ideal role for an analytical individual who has experience working with data, tools, tech, and AI to drive smarter marketing decisions. If you thrive in a fast-paced environment and want to play a key role in transforming how we measure success and optimize marketing performance, we’d love to meet you. About Us: ShipperHQ is a trusted leader in the e-commerce shipping space, with over 15 years of experience helping merchants deliver better shipping and checkout experiences. Founded in 2009, we power shipping logic and checkout optimization for thousands of brands, from DTC disruptors to enterprise retailers, in 150+ countries. Based in Austin with a global team, we’re a fast-moving, product-led company shaping the future of e-commerce logistics. The Junior Marketing Operations & Data Analyst will partner with Marketing, Sales, and Product teams to improve visibility into marketing performance and enable smarter decision making through data. You’ll maintain and enhance our marketing data infrastructure, build reports and dashboards, and surface actionable insights to drive pipeline growth and ROI. You’ll also support SEO, AEO, and paid media performance measurement and optimization, using AI tools to speed up analysis and automation.

Requirements

• Bachelor’s degree in Marketing Analytics, Information Systems, Computer Science, Business Intelligence, or related field
• 1-2 years of experience in marketing ops, analytics, or data-related roles (internships & academic experience count if hands-on)
• Strong analytical skills –proficient in analyzing data, identifying trends, and highlighting insights to help drive decisions
• Hands-on experience with data visualization tools.
• Working knowledge of marketing automation and CRM platforms (HubSpot, preferred).
• Excellent communicator, and able to translate data insights into strategic recommendations.
• Understanding that AI can be wrong, generic, or off-brand (“AI slop”), and a habit of reviewing and validating AI-generated work.
• Exposure to SEO & AEO concepts and an interest in improving organic performance, and AI-attribution.
• Comfortable using AI tools as part of your day-to-day work (for analysis, problem solvingand automation).

Nice To Haves

• Ideally, basic comfort “coding with AI” (e.g., using chat-based coding or tools like GitHub Copilot/Cursor to generate simple Python, JavaScript, or SQL scripts that support analysis and automation.

Responsibilities

• Build, maintain, and automate dashboards tracking marketing KPIs, funnel performance, and campaign effectiveness.
• Analyze campaign data from multiple sources to provide insights that improve lead generation and conversion.
• Support performance tracking for SEO, AEO, and paid campaigns—use insights to recommend improvements.
• Use AI tools (smartly) to speed up analysis, automate routine tasks, and generate test ideas.
• Ensure data accuracy and consistency across tools to support reporting and segmentation.
• Partner with Sales, Ops, and Product Marketing to ensure unified data reporting and performance insights.
• Present findings to stakeholders in clear, actionable ways - translating technical analysis into business recommendations.

Benefits

• Collaborate with a motivated team, directly tying your results to organizational success
• 22 days of PTO plus public holidays
• 401k Match
• Medical, Dental, and Vision Insurance
• Maternity and Paternity Leave

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 101-250 employees