Senior BI & Analytics Analyst

Job not on LinkedIn

🕒 July 3

🏈 Alabama, Arizona, +25 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

💵 $135k - $145k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

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Digital Media Solutions

WebsiteLinkedInAll Job Openings

201 - 500 employees

🛡️ Insurance

💼 Consulting

📦 Logistics

💰 Post-IPO Equity on 2023-03

Insurance • Consulting • Logistics

Digital Media Solutions is a company that specializes in connecting high-intent consumers with advertisers across a variety of verticals including insurance (auto, home, health), education, consumer finance, and ecommerce. Established in 2012, DMS focuses on delivering superior service and innovative digital performance advertising solutions. The company's approach is centered around compliance, leveraging industry expertise, and prioritizing customer needs to ensure brand safety and effective advertising. DMS helps advertisers achieve a superior return on ad spend while assisting consumers in making informed purchasing decisions. Recently, DMS transitioned ownership of its core business assets and subsidiaries to existing lenders and Imon Media LTD as part of a court-supervised sale process.

📋 Description

• Design and write complex SQL queries to aggregate auction data AWS. • Structure large-scale event data into a centralized data warehouse. • Build and maintain data models that define core business metrics. • Ensure Finance, Technology, and Business teams are working from consistent and reliable data. • Lead the transition from legacy reporting tools to Looker. • Develop LookML models and dashboards tracking signal volume, API performance, and customer activity trends. • Partner with Finance to measure unit economics, margin by signal type, and revenue attribution. • Partner with Technology teams to monitor signal delivery and data health using AWS logs and Datadog. • Partner with Business Units to build profitability views showing which signal channels drive the most value. • Maintain data integrity across Last Activity API and Activity Signal products. • Identify and resolve data discrepancies and latency issues before they impact reporting or billing accuracy. • Define and document analytics standards and best practices for the broader team.

🎯 Requirements

• 5+ years of experience in business intelligence, data analytics, or data engineering environments. • Demonstrated experience working with large-scale datasets and owning core business metrics end-to-end. • Advanced SQL with the ability to query large, complex datasets. • Experience working in cloud data environments such as AWS and DataBricks. • Experience building dashboards and data models in Looker (LookML) or leading a migration to Looker. • Experience working with event-based data, API logs, marketing, or streaming data. • Ability to translate large datasets into clear business insights and performance metrics. • Strong understanding of financial metrics such as LTV, CAC, and gross margin. • Ability to work cross-functionally with Finance, Engineering, and business stakeholders, and to influence at a senior level. • Familiarity with AWS / Snowflake for monitoring data pipelines and system performance. • Experience analyzing API products, signal data, or event-driven systems. • Experience mentoring analysts or setting team-wide analytics standards.