Sr. BI & Analytics Analyst

Accountabilities: Design, develop, and optimize complex SQL queries to process large-scale event and auction datasets across cloud platforms.

Build and maintain a centralized data warehouse and data models that establish a reliable Single Source of Truth for core business metrics.

Develop and manage Looker dashboards and LookML models to track signal performance, API activity, and customer behavior trends.

Partner closely with Finance to define and analyze unit economics, revenue attribution, margins, LTV, CAC, and profitability metrics.

Collaborate with Technology teams to monitor data pipelines, signal delivery, and system health using AWS logs and observability tools.

Work with Business Units to deliver actionable insights into performance drivers across channels and product lines.

Ensure data integrity, resolve discrepancies, and proactively address latency or quality issues impacting reporting or billing.

Define and enforce analytics standards, documentation, and best practices to support governance and consistency across teams.

Requirements:

5+ years of experience in business intelligence, data analytics, or data engineering roles working with large-scale datasets.

Strong expertise in advanced SQL and experience querying complex, high-volume datasets in cloud environments.

Hands-on experience with AWS, DataBricks, or similar modern data platforms.

Proven experience building dashboards and semantic models in Looker (LookML) or leading BI platform migrations.

Background working with event-driven, API, marketing, or streaming data systems.

Strong understanding of business and financial metrics such as LTV, CAC, revenue attribution, and gross margin.

Ability to translate complex data into clear, actionable insights for technical and non-technical stakeholders.

Experience collaborating cross-functionally with Finance, Engineering, and Business teams in a senior-facing capacity.

Strong communication, analytical thinking, and problem-solving skills with attention to data accuracy and consistency.

Experience mentoring analysts or helping define team-wide data standards is a strong plus.

Benefits:

Competitive salary range: $135,000 – $145,000 annually

Full-time remote work within eligible U.S. states

Opportunity to define and own the organization’s core metrics and Single Source of Truth

Exposure to large-scale, high-volume data systems and real-time decisioning environments

Collaboration with senior leaders across Finance, Technology, and Business teams

Career growth opportunities in a highly data-driven and performance-focused organization

Work with modern analytics tools including AWS, DataBricks, and Looker

Dynamic environment focused on innovation, experimentation, and measurable business impact.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

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