Lead Analytics Manager
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Analytics Manager based in the United States.
This is a high-impact analytics leadership role responsible for turning complex, unstructured data into clear business intelligence that drives performance across multiple digital growth verticals. You will sit at the center of decision-making for key revenue-driving teams, partnering closely with marketing, yield, and account management stakeholders to uncover actionable insights and improve conversion, acquisition, and monetization outcomes. The role combines hands-on technical ownership of data infrastructure with strategic leadership in reporting, experimentation analysis, and business storytelling. You will be responsible for standardizing reporting systems, improving data reliability, and ensuring insights are actively used to guide business decisions. Operating in a fast-paced, performance-driven environment, you will help transform raw, messy datasets into scalable analytical systems that directly influence business growth. This is a role for someone who thrives at the intersection of deep technical execution and commercial impact.
Accountabilities:
- Own and evolve the end-to-end analytics and reporting infrastructure across multiple performance marketing and revenue-focused verticals.
- Extract, clean, and analyze large-scale structured and unstructured datasets to generate actionable business insights.
- Build, standardize, and scale dashboards and reporting frameworks that are adopted across multiple teams and drive decision-making.
- Develop and optimize complex SQL queries and data models to support deep performance analysis and experimentation tracking.
- Partner closely with Yield, Paid Media, and Account Management teams to identify performance drivers across campaigns, creatives, offers, and channels.
- Conduct retrospective and diagnostic analyses on key business levers such as CAC, conversion rates, seasonality, and revenue per session.
- Lead efforts to improve data quality, reporting consistency, and analytics adoption across the organization.
- 7+ years of experience in Business Intelligence, Data Analytics, or Analytics Engineering roles within performance-driven or digital marketing environments.
- Expert-level SQL skills, including experience working with unstructured or complex datasets and building scalable query logic.
- Proven experience owning reporting systems end-to-end, from raw data ingestion through dashboard creation and stakeholder adoption.
- Strong experience with BI tools such as Looker (LookML), Tableau, or Power BI, including advanced data modeling capabilities.
- Solid understanding of performance marketing, affiliate marketing, or growth marketing metrics and optimization levers.
- Strong business acumen with the ability to translate data insights into actionable recommendations that influence revenue outcomes.
- Demonstrated ability to work directly with business stakeholders and drive adoption of analytics tools and frameworks.
- Excellent communication skills with a strong focus on clarity, storytelling, and stakeholder alignment.
- Curiosity-driven mindset with a strong ability to connect data analysis to real business outcomes.
- Competitive base salary with performance-based bonus and profit-sharing opportunities.
- Comprehensive healthcare coverage including medical, dental, and vision insurance.
- Remote-first work environment with flexibility across the United States.
- 401(k) retirement plan and long-term financial growth support.
- Paid time off and flexible working arrangements.
- Professional development opportunities in a high-growth, data-driven organization.
- Exposure to large-scale performance marketing systems and high-impact business problems.
Requirements:
Benefits:
Analytics pay context
Based on 926 disclosed Analytics salaries on RoleSuite, the role pays a median of $124K/year, with most offers between $101K and $155K (10th–90th percentile: $85K–$195K).
See the full Analytics salary breakdown →