Sr. BI & Analytics Analyst

Digital Media Solutions
United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$135,000.0 - $145,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Amazon Web Services Data Analysis Application Performance Management Big Data Cloud Database Information Engineering Data Governance Data Warehousing Data Streaming Datadog Freeform SQL
+9 more
Sql Optimization Snowflake Event Driven Architecture Data Analytics Tools for Reporting Looker Analytics Data Pipelines Api Management Databricks

Job description

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.

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.

Technical Skills:

  • 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.

Analytical & Business Skills:

  • 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.

Preferred Qualifications:

  • 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.

Benefits & conditions

2.82.8 out of 5 stars United States Remote $135,000 - $145,000 a year - Full-time, Compensation: The anticipated annual base salary range for this position is $135,000-$145,000. Actual compensation may vary based on work experience, education, and skill level.

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

5:34 min

Managing token budgets and enterprise usage of coding agents

Chris Heilmann +2 · LIVE

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · WWC Europe 2026

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:08 min

Analyzing error logs and root causes using artificial intelligence

Nishil Patel Nishil Patel · WWC 2025

1:42 min

Combining technical skills with strong business communication

Lukas Kölbl · LIVE

Videos

See all

Related articles

See all