As a Marketing Analytics & Business Intelligence Analyst, you will analyze data for marketing insights, inform product strategies, and drive business growth through analytics and reporting.
About Peak21
Peak21 specializes in acquiring and scaling consumer brands across the United States, Europe, and Asia. Our portfolio exceeds $200M in annual revenue, fully bootstrapped and profitable. We combine rigorous data analytics, world-class marketing execution, and an operator mindset to accelerate the growth of beloved D2C brands.
You would be joining one of our highest-growth portfolio companies.
Why this role is uniqueThis role sits at the intersection of analytics, marketing strategy, and business growth.You’ll use data to understand the business, uncover growth opportunities, translate insights into action, and help guide how the business scales and evolves.
- Understand our customers deeply through data and help redesign our entire marketing engine
- Shape what products we build and where the brand expands
- Provide insight that informs decisions on new categories and future business lines
- Stay ahead of emerging trends in marketing and D2C brands, leveraging the latest tools strategically to drive measurable business outcome
- Work directly with the founders and our Head of Growth on high impact strategic initiatives
If you want a consumer-oriented path that blends data, strategy, and growth, this is it.
What You’ll DoMarketing & Growth Insights- Identify the drivers behind winning ads and creatives to find scaling opportunities across different product lines
- Evaluate customer acquisition funnel performance across different marketing channels
- Work with the creative team to empirically test new hypotheses based on data and guide marketing initiatives
- Own tracking marketing performance and effectively communicating results through dashboards and reporting
- Analyze customer behavior, cohorts, retention, and purchasing patterns to uncover useful trends and insights
- Build segmentation models to identify high-value and high-potential customer groups
- Evaluate product lines to understand drivers of repeat purchases, profitability, and lifetime value (LTV)
- Conduct competitive research and market analysis to uncover whitespace and new product opportunities
- Assess demand for future product launches and category expansion
- Build simple business cases (TAM, unit economics, margins, payback)
- Research new markets, partnerships, or adjacent business opportunities
- Work with founders to model revenue scenarios and impact
- Identify new growth opportunities
- Support due diligence for potential acquisitions or collaborations
- Improve systems around analytics, reporting, and decision-making
- Present insights directly to leadership weekly
- A recent graduate from a quantitative or analytical program (Data Analytics, Engineering, Economics, Computer Science, Business Analytics, etc.)
- Deeply curious about consumer behaviour, e-commerce, and digital marketing
- Strong analytical skills - Proficient in Excel/Sheets , Python and SQL experience would be beneficial
- Able to turn data into actionable insights that can lead to real impact, not just dashboards
- Strong communicator who can simplify complex concepts for diverse audiences
- Passionate about product strategy, advertising and understanding customers
- Self-starter who thrives in fast, high-growth environments
- Coachable, ambitious, and excited to grow our business and build something meaningful
Bonus:
- Prior experience with D2C, e-commerce, paid ads, or analytics tools
- Exposure to Meta Ads Manager, Google Ads Manager, GA4, Looker Studio, or similar platforms is a plus
- An interest in consumer brands is a must
- Join a highly analytical consumer growth group - ideal for young talent wanting to learn marketing from first principles, not textbook templates
- Work alongside experienced entrepreneurs (ex-McKinsey, ex-Rocket Internet, operators who have built 9-figure brands)
- Get meaningful responsibility from day one - your insights will impact real dollars and real decisions
- Competitive compensation and fast promotion path
- No bureaucracy, no “big company” politics - speed, ownership, and high learning velocity
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