Senior Analyst, Inventory Operations

Stack Adapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision.

With 465 billion automated optimizations per second, the AI-powered Stack Adapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey.

The most forward-thinking marketers choose Stack Adapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.

Stack Adapt 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.

Stack Adapt 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 (Maria DB, Star Rocks, 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 Star Rocks, Snowflake, Redshift, Thought Spot, 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.

Stack Adapt 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.

• 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

Stack Adapter's Enjoy

• Highly competitive salary
• Retirement/ 401K/ Pension Savings globally

• Competitive Paid time off packages including birthday's off!

• Access to a comprehensive mental health care program
• Health benefits from day one of employment
• Work from home reimbursements
• Optional global We Work membership for those who want a change from their home office and hubs in London and Toronto
• Robust training and onboarding program
• Coverage and support of personal development initiatives (conferences, courses, books etc)
• Access to Stack Adapt programmatic courses and certifications to support continuous learning
• An awesome parental leave program
• A friendly, welcoming, and supportive culture

• Our social and team events!

Benefits and perks may vary depending on your country of employment and the nature of your engagement.

In locations where Stack Adapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.

Stack Adapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe.

No matter who you are, where you are from, who you love, follow in faith, disability, superpower status, ethnicity, or the gender you identify with (if you're comfortable, let us know your pronouns), you are welcome at Stack Adapt.

Stack Adapt is committed to providing an inclusive and accessible recruitment process.

Accommodations are available upon request for candidates taking part in all aspects of the selection process.

If you require an accommodation, please let us know.

We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting.

We do not use AI to make any final hiring or interview decisions.

About Stack Adapt

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