Senior Analyst, Inventory Operations
StackAdapt is a self-serve programmatic advertising platform used by the world's most performance-driven marketers. As we scale our supply-side partnerships and deepen inventory intelligence, we're looking for a Senior Analyst, Inventory Operations to join our Advertising Technologies team.
This role is central to how we manage, analyze, and grow our inventory ecosystem across key supply partners. This role works closely with Product, Engineering, Revenue Operations, and external supply partners to ensure inventory health, supply quality, and analytical insights flow seamlessly across the organization.
StackAdapt is a Remote First company; we are open to candidates located anywhere in Canada for this position.
What You'll Be Doing:
Own end-to-end analysis across multiple data sources (MariaDB, StarRocks, Snowflake, Redshift) and translate findings into clear recommendations for leadership and cross-functional partners
Serve as the senior escalation point for complex campaign delivery and supply issues on high-value accounts, driving root-cause analysis and preventing repeat issues
Design and deliver scalable automation for recurring inventory workflows, including deal setup validation, supply audits, and reporting, using SQL, Python, and AI-assisted tooling
Partner with Inventory Development, Technical Program, and Product teams to shape commercialization strategy, surface supply gaps, and influence the product roadmap with data
Guide the Sales team on complex RFPs, recommending inventory, measurement, and data solutions and building the analysis that supports them
Define and maintain team standards for data quality, documentation, and troubleshooting playbooks
Identify supply trends, pricing shifts, and performance opportunities proactively, and bring recommendations to leadership before they're requested
What You'll Bring to the Table
3+ years of experience in analytics, operations, or a data-focused role within ad tech, programmatic, or a related field
Bachelor's degree in a quantitative field or equivalent practical experience
Proven track record of leading data projects end to end, from scoping through delivery and adoption
Expert-level SQL and strong experience working with large, complex datasets across multiple systems
Hands-on experience with data platforms and BI tools such as StarRocks, Snowflake, Redshift, ThoughtSpot, or Elasticsearch/Kibana
Ability to explain detailed technical analyses to technical and non-technical stakeholders
Expertise in working with RTB, DSPs, SSPs and other platforms is a plus
Exceptional troubleshooting and problem-solving skills, with the judgment to prioritize across competing high-impact issues
Python, scripting, or experience building AI-assisted workflows is a plus
The compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. We do not ask candidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer.
This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.
Factors Influencing Final Compensation:
The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications.
Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.
Base Salary Band
$76,000—$104,500 CAD