Senior/Staff Analytics Engineer - Monetization at Jobgether – United States

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior/Staff Analytics Engineer - Monetization in the United States.

This role sits at the intersection of data engineering, analytics, and business strategy, focusing on building the data foundation that powers monetization and advertising decisions. You will play a key role in designing, developing, and maintaining scalable data pipelines and trusted datasets that enable accurate measurement of business performance. Working closely with cross-functional stakeholders, you will transform complex data into accessible, reliable insights that drive revenue strategy and product optimization. The position requires a strong balance of technical expertise and business understanding, with an emphasis on defining KPIs and ensuring data consistency across teams. You will also champion data quality, self-service analytics, and data literacy across the organization. This is a highly collaborative role in a fast-paced environment where your work directly influences monetization strategy and company growth.

• Own and maintain data pipelines, reporting systems, and dashboards to ensure accurate, reliable, and timely access to monetization and ads-related metrics.
• Design, build, and optimize datasets that serve as the single source of truth for key business and product KPIs.
• Partner with product, data science, finance, sales, marketing, and engineering teams to define, track, and evolve monetization metrics.
• Develop and maintain ETL/ELT processes to ensure data freshness, integrity, and scalability across systems.
• Identify and resolve data quality issues, implementing monitoring, alerting, and governance practices.
• Establish SLAs for data availability and communicate performance against them to stakeholders.
• Drive self-service analytics by building documentation, dashboards, training materials, and enabling broader data literacy across the organization.

• 6+ years of experience in data engineering, analytics engineering, or a similar data-focused role.
• Advanced SQL expertise, including query optimization across multiple dialects.
• Strong experience working in monetization, ads, or revenue-focused data environments.
• Hands-on experience with ETL/ELT pipelines and modern data stack tools.
• Proficiency with BI tools such as Looker or similar data visualization platforms.
• Strong ability to translate complex technical datasets into clear business insights and narratives.
• Experience collaborating with cross-functional stakeholders and delivering end-to-end data projects.
• Excellent communication skills and ability to present insights to both technical and non-technical audiences.
• Strong interest in emerging technologies and AI-driven analytics workflows.

• Competitive salary ranging from $167,000 to $249,000 annually, with potential for higher compensation based on experience
• Equity grant with quarterly vesting schedule
• Comprehensive health coverage, including a 100% covered employee-only medical plan
• Access to concierge healthcare services through a OneMedical membership
• Flexible compensation and benefits package tailored by location
• Hybrid and flexible work environment supporting collaboration and autonomy
• Inclusive culture focused on diversity, equity, and community impact
• Opportunities for learning, development, and participation in company-wide initiatives