Lead Analytics Manager
New
Based in the United StatesFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- SQLBusiness IntelligenceMicrosoft Power BITableauData modelingData analyticsLooker
Requirements
- 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.
Responsibilities
- 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.
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