Location: US Only-Remote

(AL, AZ, CA, CO, CT, DC, FL, GA, ID, IL, IN, MA, MD, MI, MO, NC, NH, NJ, NV, NY, OH, PA, RI, TN, TX, UT, VA, WA, WI)

Type: Full-Time, Salary, Exempt

About DMS

Digital Media Solutions (DMS) is a performance-driven digital marketing company that connects consumers and brands through data, technology, and proprietary media platforms. Our systems power high-volume consumer acquisition across multiple verticals, processing large-scale traffic and real-time decisioning in dynamic market environments.

About this role

We're looking for a Sr. BI & Analytics Analyst to own and evolve our Single Source of Truth for profitability performance. In this role, you'll work with large-scale datasets across AWS and DataBricks, transforming the data into actionable insights for our business units, revenue operations, and senior leadership teams.  As a senior member of the analytics team, you'll set standards for data modeling, mentor other analysts, and partner closely with Finance, Technology, and Business leaders to ensure our data is reliable and translated into insights that drive product performance, revenue visibility, and strategic decision-making.

Why Join DMS?

At Digital Media Solutions, you'll work with systems that process millions of high-intent consumer signals across web, email, push, and voice channels. In this role, you'll define and evolve the company's Single Source of Truth for signal activity, revenue attribution, and product performance, shaping how the business measures, analyzes, and acts on its data. You'll play a leading role in defining the metrics and data models the company relies on to understand performance and drive strategic decisions.

You'll work with large-scale datasets and modern analytics tools while partnering closely with Finance, Technology, and Business leaders to turn complex signal data into insights that guide product and revenue strategy. If you enjoy owning core business metrics, working with high-volume event data, and building analytics that directly influence how a business operates, this role offers the opportunity to do exactly that.

Responsibilities

Data Centralization:

• Design and write complex SQL queries to aggregate auction data AWS.
• Structure large-scale event data into a centralized data warehouse.
• Single Source of Truth:
• Build and maintain data models that define core business metrics.
• Ensure Finance, Technology, and Business teams are working from consistent and reliable data.
• Reporting & Looker Visualization:
• Lead the transition from legacy reporting tools to Looker.
• Develop LookML models and dashboards tracking signal volume, API performance, and customer activity trends.

Cross-Functional Analytics:

• 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.
• Data Governance:
• 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.

• 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.