Senior Data Analyst, Marketing Analytics

Job not on LinkedIn

🔥 1 hour ago

🇺🇸 United States – Remote

💵 $75k - $90k / year

⏰ Full Time

🟠 Senior

📊 Marketing Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Archer

WebsiteLinkedInAll Job Openings

51 - 200 employees

📣 Marketing

☁️ SaaS

🏢 Enterprise

Marketing • SaaS • Enterprise

Archer is an organization that specializes in online live chat solutions, providing chat input and messaging interfaces for customer support. They offer seamless communication tools that help businesses interact with their customers in real-time through trusted and reliable chat systems.

📋 Description

• Lead cross-functional initiatives and manage projects with minimal supervision • Partner with data engineering to design and maintain BigQuery data models for Performance Marketing • Build data model foundations for automated reporting and future AI-agent-driven self-service data exploration • Gather and document Performance Marketing data needs • Translate business questions into technical requirements and prioritize work based on business impact • Manage prioritized data model requirements through engineering sprint cycles • Serve as liaison between Performance Marketing analytics/reporting needs and data engineering • Develop and deliver reporting solutions analyzing business functions, operations, and performance metrics • Respond to ad hoc data and reporting requests from Performance Marketing and Managed Services leadership • Ensure deliverables meet high standards of quality, accuracy, and relevance • Train and mentor junior analysts • Provide work guidance and troubleshooting support within and beyond the analyst team

🎯 Requirements

• Bachelor’s Degree in Statistics, Mathematics, Data Science, Economics, Computer Science, or another quantitative field, or equivalent relevant experience • 4+ years in an analytical role • Working knowledge of performance marketing metrics, including leads, clicks, conversion/click-through rate, cost-per-lead, and attribution • Ability to design reusable, scalable data structures rather than one-off reports • Familiarity with sprint-based delivery (Agile/Scrum) • Ability to write clear technical requirements for data engineers • Exceptional verbal and written communication skills • Strong interpersonal and cross-functional collaboration skills • Exceptional analytical, problem-solving, and decision-making skills • Robust quality control skills • Ability to manage multiple projects under tight deadlines • Proficiency in MS Office Suite, Google Suite, and SQL • Adaptability to a complex and changing environment

🏖️ Benefits

• Medical, dental, and vision plans • Paid time off • Sick days • 401k plan with full contribution match up to 4% • Up to 12 weeks of parental leave, with 6 weeks paid • Up to $5,250 per year in tuition reimbursement for continuing education • Flexible working environment and schedule • Optional travel for team building and in-person strategy/planning sessions