Job description
About Lunar Solar Group:
Lunar Solar Group is a high-impact advertising agency that collaborates with consumer-focused brands to identify growth opportunities and implement disruptive marketing strategies. We combine digital marketing expertise and a suite of creative services to help brands scale. As a globally recognized growth consultancy, technology studio, and full-service digital marketing agency, we solve complex growth challenges and build brands through proprietary technology, innovative strategy, channel expertise, and flawless execution. Lunar has built a track record of excellence across various verticals, including durable goods, consumer packaged goods, and SaaS. While highlighting potential growth opportunities for clients, Lunar itself continues to expand rapidly.
Who We Are Looking For:
We’re looking for a data-savvy, analytical thinker with a deep understanding of performance marketing, media measurement, and growth analytics. If you get excited about turning raw marketing data into actionable insights, optimizing cross-channel spend, and exploring AI-powered automation for analytics, this role is for you.
You’ll work closely with our Paid Media, Email/Retention, Web Development, and Client Strategy teams to drive smarter marketing decisions, improve attribution models, and enhance reporting capabilities. This role requires both technical acumen and strategic thinking—we need someone who can analyze trends, forecast performance, and communicate insights clearly to stakeholders.
Job Summary:
As the Marketing Analytics & Insights Manager, you will play a key role in shaping how we analyze, report, and optimize performance marketing across digital channels. You’ll provide data-backed recommendations on marketing spend, campaign performance, and conversion funnels, helping our clients maximize growth.
Key Responsibilities:
Cross-Channel Data Analysis & Growth Insights
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.
Forecasting & Media Mix Optimization
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.
Insights & Competitive Research
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.
Reporting & Data Visualization
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.
AI & Automation Strategy
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.
Skills & Qualifications:
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.
Bonus Points for:
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.
