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Senior Analyst, Inventory Operations

StackAdapt Канада ; Канада (whole country)
Remote work

Publication date: 05/11/2026

Senior Analyst, Inventory Operations role on the Advertising Technologies team at StackAdapt, a self-serve programmatic advertising platform. The role is central to how StackAdapt manages, analyzes, and grows its inventory ecosystem across key supply partners, working closely with Product, Engineering, Revenue Operations, and external supply partners. StackAdapt is a Remote First company; candidates located anywhere in Canada are considered.

Responsibilities

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

Requirements

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; Exceptional troubleshooting and problem-solving skills, with the judgment to prioritize across competing high-impact issues

Nice to have

Expertise in working with RTB, DSPs, SSPs and other platforms; Python, scripting, or experience building AI-assisted workflows

Benefits

Highly competitive salary; Retirement/401K/Pension Savings globally; Competitive paid time off packages including birthday off; Access to a comprehensive mental health care program; Health benefits from day one of employment; Work from home reimbursements; Optional global WeWork membership; Robust training and onboarding program; Coverage and support of personal development initiatives (conferences, courses, books etc); Access to StackAdapt programmatic courses and certifications; Parental leave program; Annual bonuses, commissions, equity awards, and a comprehensive benefits package may be available depending on the role
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