Sr. Business Intelligence Engineer

Location/Office Setup: NY, NY — Hybrid (3 days in-office)

Who We Are:

At Digital Matter, we’re a smart, fast, and nimble next-gen consulting firm built for today’s challenges. Our team is made up of media, retail, and technology experts who’ve built and executed, not just advised – people who’ve run companies, navigated real transformations, and know what it takes to deliver results. We’re all about helping consumer brands unlock growth and navigate transformation, using media as a true business asset—powered by data and future-ready tech.

Our mission is simple: treat media as an asset class and use innovative technology to accelerate meaningful growth and transformation for our clients.

We’ve helped multiple organizations go public, and we’ve guided clients through everything from bankruptcy turnarounds to successful exits.

We’re hiring a Senior Business Intelligence Engineer to lead the NY-based Measurement, Ad Tech, and Data Science (MADS) team. As part of an entrepreneurial team that is just getting started, you will play a pivotal role in shaping the analytics strategy and driving multi-year roadmaps that align with Digital Matter’s vision. You'll also have an opportunity to be a force multiplier by mentoring other BIEs and Data Engineers on your team.

You’ll design and build solutions for both the internal team and a portfolio of global retail and consumer clients. These solutions include executive reporting, highly polished dashboards, and exploratory self-service tools, as well as the datasets that power them to analyze and present insights associated with media and omnichannel consumer behaviors.

This is a hands‑on, high‑impact role that blends visualization expertise, technical depth, and business context.

• Lead the design, development, and launch of reporting solutions from intake through delivery.
• Build scalable, interactive dashboards using Tableau, Power BI, Looker, or similar tools.
• Translate complex data into actionable insights and visual stories for operational and executive audiences.
• Collaborate with stakeholders to define KPIs and reporting logic, ensuring alignment and clarity.
• Partner with Data Engineering to ensure data models support dashboard performance and accuracy.
• Contribute visualization strategies for measuring integrated media performance, ad impact, or customer behavior.
• Coordinate with offshore contributors to ensure timely and consistent execution.
• Maintain documentation for dashboards, metrics, definitions, and best practices.
• Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data models, reports/dashboards/BI solutions for analytics and deep learning.
• Implement data ingestion routines in both real time and batch using best practices in data modeling, ETL/ELT processes.
• Provide online reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources.
• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.
• Produce comprehensive, usable data set documentation, metadata, BI reports, dashboards, and insights.

• 10+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role.
• BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field.
• Advanced SQL skills with experience querying large-scale, complex datasets.
• Proficiency in Python for data wrangling, automation, or integration with reporting workflows.
• Strong proficiency with data visualization tools such as Tableau / Power
  
  BI / Micro Strategy / etc. for analysis, insight synthesis, reporting deliverable design & development, and executive presentation.
• Be self-driven and show ability to deliver on ambiguous projects with incomplete or ‘dirty’ data.
• Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management as required.
• Knowledge of data management fundamentals and data storage principles.
• Excellent communication…