Who are we:

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity.

The Business Data Analyst role is a unique combination of technical execution and internal customer relationship management. You will serve as a "context-shifter"—equally comfortable navigating complex SQL databases as you are advocating for the needs of our business partners. We are looking for a versatile professional who doesn't just pull data, but seeks to understand the "why" behind every metric to ensure our business objectives are met with precision.

StackAdapt is a remote first company. We are open to hire residents of Canada.

What You'll Be Doing:

• Stakeholder Partnership: Act as a customer-facing advocate for the business. You will lead discovery sessions to understand requirements, define key metrics, and draft Business Requirement Documents (BRDs).
• Partner with RevOps, Marketing Ops, and CRM administrators to maintain data integrity across systems (e.g., Salesforce), including field-level metric population, account structure governance, and cross-system reconciliation.
• CRM & Cross-functional Data Stewardship — Partner with RevOps, Marketing Ops, and CRM administrators to maintain data integrity across systems (e.g., Salesforce), including field-level metric population, account structure governance, and cross-system reconciliation.
• Technical Execution: Execute project work and "hands-on-keyboard" development. This includes writing complex SQL queries, navigating disparate databases, and investigating data sets to find "the truth."
• Requirement Translation: Bridge the gap between technical and non-technical teams by translating high-level business goals into actionable technical specifications.
• Data Discovery & Troubleshooting: Serve as the first line of defense for troubleshooting data issues and fulfilling ad-hoc data requests to support immediate business needs.
• Pipeline Foundation: In your first 3–6 months, you will focus heavily on building and optimizing data pipes to ensure a robust foundation for future analysis.

What You'll Bring to the Table

• Relational Database Proficiency — Deep comfort navigating unfamiliar RDBMS environments, including complex joins, schema exploration, data lineage investigation, and query optimization. Experience with cloud data warehouses such as Snowflake is a plus.
• Exceptional Communication: Strong soft skills with a track record of translating technical concepts for executive-level stakeholders.
• Versatility: The ability to "live in multiple contexts" and pivot quickly from deep technical work to strategic business meetings.
• Technical Curiosity: You are proactive about personal projects and stay up-to-date with industry trends, including a high proficiency in using LLMs to accelerate workflows.
• ETL/ELT Knowledge: Hands-on experience building and maintaining data pipelines.
• LLM/AI Literacy — Beyond using LLMs to accelerate personal workflows, an appreciation for how data model design (e.g., star schemas, clear naming conventions) improves AI/ML system integration and reliability.
• Python (Plus): Experience with Python for automation or advanced analysis is a nice-to-have.