Senior Client Analytics Partner

StackAdapt 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 StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.

The Senior Client Analytics Partner plays a pivotal role in helping business-to-business clients understand how their media investment impacts lead generation, pipeline velocity, and revenue outcomes. This role requires both analytical rigor and the ability to guide clients through the media performance measurement, with a focus on B2B accounts— including multi-touch attribution, ABM reporting, and sales funnel diagnostics. As a senior member of the team, you’ll also coach peers, shape best practices, and represent StackAdapt in high-level client discussions and thought leadership. 

This new individual contributor role supports an emerging B2B vertical focus, and offers the chance to influence how modern B2B organizations measure success — partnering closely with senior marketers to connect media strategy to pipeline, revenue, and long-term growth. You will report to the Director, Client Analytics Partner.

StackAdapt is a Remote First company, and we are open to candidates located anywhere in Canada.

• Strategic Advisory: Act as a trusted advisor to senior stakeholders, moving beyond "what happened" to explaining "why it happened." You will proactively identify insights rather than waiting for reporting requests.
• Measurement Strategy Ownership: Design and deploy bespoke measurement frameworks that link programmatic spend to business outcomes (MQLs, SQLs, Revenue).
• Advanced Attribution: Guide clients through the implementation of advanced measurement solutions (such as MTA or MMM) to optimize channel mix, providing methodological transparency over "black-box" analytics.
• Technical Discovery: You will apply intellectual curiosity to dig three layers deep into data anomalies to ensure a single source of truth.
• Experimental Design: Create and activate learning agendas, recommending plans that include audience cohorts, channel sequencing, and incrementality testing.
• Resilient Problem Solving: Navigate the "gray areas" of privacy-compliant tracking (post-cookie world) and emerging media channels to ensure data continuity.
• Internal Leadership: Mentor junior team members and contribute thought leadership content to the internal GCS knowledge base.
• B2B Strategy & Funnel Diagnostics: Partner with clients to navigate the nuances of the B2B journey, connecting top-of-funnel programmatic activity to down-funnel outcomes like MQLs, SQLs, and pipeline velocity.
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• Experience: 5–7 years in analytics roles, ideally within a high-growth AdTech firm, Performance Agency, or SaaS environment.
• Analytical Fluency & Grit: Proficiency in SQL and Expert-level Excel. You have a natural curiosity for data exploration and the persistence to dig into raw datasets to uncover the "why" behind the numbers.
• Measurement Expertise: Practical experience with MMM, MTA, or incrementality testing. You focus on the commercial context (ROI/Pipeline) rather than just technical accuracy.
• Stakeholder Navigation: Skilled at bridging the gap between technical data and business goals; you can synthesize intricate datasets into compelling narratives that influence senior-level decision-making.
• Strategic Mindset: A focus on measurement over reporting. You understand how to align fast-moving media metrics with longer-term business growth.
• MarTech Knowledge: Familiarity with the AdTech ecosystem, including CDPs, MAPs, and CRM connectors (e.g., Salesforce, HubSpot).
• Visualization Skills: Experience building impactful stories within Tableau or PowerBI that move the needle for sophisticated clients.

• B2B Domain Expertise: Knowledge of lead-to-revenue funnels, Account-Based Marketing (ABM) strategies, and CRM integrations.
• Coding Proficiency: Experience using Python or R for predictive modeling or advanced statistical analysis.
• Vertical Knowledge: Experience in E-commerce, Retail, or CPG analytics.