Marketing Analytics and Insights Manager

Summary

Join Lunar Solar Group as their Marketing Analytics & Insights Manager and play a key role in shaping how the company analyzes, reports, and optimizes performance marketing across digital channels. You will provide data-backed recommendations on marketing spend, campaign performance, and conversion funnels, helping clients maximize growth. This role requires cross-channel data analysis, forecasting and media mix optimization, insights and competitive research, reporting and data visualization, and AI & automation strategy. You will work closely with various teams to drive smarter marketing decisions and improve reporting capabilities. The ideal candidate possesses strong analytical and technical skills, along with the ability to communicate insights effectively to stakeholders. This position offers a competitive salary and benefits package.

Requirements

• 3-6 years in marketing analytics, growth strategy, or data analysis within an agency, brand, or eCommerce setting
• Deep understanding of performance marketing & digital advertising, including paid social (Meta, TikTok), search (Google Ads, Bing), email marketing, and retention campaigns
• Strong knowledge of funnels, on-site conversion metrics, and customer journey analysis in eCommerce
• Proficiency in Google Analytics (GA4 preferred), Looker, or similar analytics tools
• Understanding of the Shopify/eCommerce ecosystem and key metrics like AOV, LTV, conversion rates, and retention trends
• Strong skills in Excel/Google Sheets for data analysis and reporting
• Ability to translate complex data into clear, actionable insights for stakeholders

Responsibilities

• Analyze omnichannel marketing performance, including paid social, search (Google/Bing), email/retention, programmatic, and on-site conversion
• Identify opportunities to improve ROAS, CAC, LTV, and funnel efficiency across channels
• Partner with media teams to diagnose performance fluctuations and optimize spend allocation
• Develop predictive models to forecast spend efficiency, revenue growth, and conversion trends
• Provide data-backed recommendations for media mix adjustments across paid and owned channels
• Evaluate incrementality testing, attribution models, and campaign lift studies to refine strategy
• Conduct competitive benchmarking, market research, and customer segmentation analysis
• Support A/B testing and experimentation, including landing page and audience insights
• Stay ahead of emerging trends in digital marketing, AI-driven analytics, and eCommerce
• Build and maintain dashboards and automated reports in Google Analytics, Looker, Power BI, Tableau, or Google Data Studio
• Translate complex datasets into clear, actionable insights for internal teams and clients
• Develop reporting frameworks to measure campaign performance, customer behavior, and marketing efficiency
• Identify opportunities to leverage AI tools for marketing analytics, automation, and workflow optimization
• Improve predictive modeling, anomaly detection, and real-time performance monitoring
• Explore AI-driven insights for media buying, budget allocation, and performance forecasting

Preferred Qualifications

• Experience with SQL, Python, or R for deeper data analysis and automation
• Familiarity with multi-touch attribution (MTA), media mix modeling (MMM), or geo-lift studies
• Exposure to AI-driven marketing analytics tools and predictive modeling
• Prior experience in a fast-paced agency or high-growth DTC/eCommerce brand

Benefits

• Competitive salary
• Comprehensive health, dental, and vision insurance
• Flexible work hours and remote work options
• Professional development and training opportunities
• An inclusive and supportive work environment that values creativity and innovation