Metrics and Integrations Analyst

We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world’s leading companies.

We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation.

At Rokt, we practice transparency in career paths and compensation. We believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’s stars constantly strive to raise the bar, pushing the envelope of what is possible.

Total compensation ranges from $157,000-$170,000, including a fixed annual salary of $140,000-$153,000, an employee equity plan grant, and world-class benefits.

Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility.

About the Role:

The Metrics team within Rokt’s Research & Development organization is the company’s source‑of‑truth layer for how we measure the business. We define and steward critical Rokt metrics, own the core pipelines that produce them at scale, and uphold accuracy, scalability, and data quality through rigorous testing and governance. We also provide visibility into integration health by building pipelines, dashboards, and alerts that monitor client conversion data (e.g., EMQ and AQS scores) so issues are detected and addressed proactively.

Our customers are engineers, product managers, and Go-To-Market (GTM) teams who rely on our models and definitions for experimentation, reporting, and day‑to‑day decisions.

As a Metrics and Attribution Analyst, you’ll create dashboards and pre/post analyses to explain how global metric changes (e.g., model updates, product releases) and customer-specific changes impact campaign performance. You’ll own integration success measurement (ensuring integration health scores correlate with campaign outcomes), understand attribution/identity effects on performance, and advise stakeholders on SSOT (Single Source of Truth) metrics and the data needed for trustworthy experimentation.

You’ll partner closely with engineers, product managers, data scientists, and GTM stakeholders across Rokt’s Research & Development organization to enable self-serve insights and consistent decision-making.

What You’ll Do:

• Dashboarding & reporting:
  Build clear, self-serve dashboards and recurring reports that quantify pre vs. post impact from global changes and customer integration updates; surface drivers and recommended actions.
• Own integration success measurement:
  Define, compute, and monitor integration health (e.g., EMQ, AQS); demonstrate correlation with campaign performance and set thresholds, playbooks, and alerts.
• Customer measurement setup: point of contact for GTM teams for custom products integrations with attribution and identity tracking ensuring successful set up and tracking.
• Own and manage the analytical backlog, working with product and GTM leaders to prioritize investigations, new metrics dashboard development, and setup improvements based on quantified business impact.
• Performance investigations:
  Be the first call when something looks off—separate attribution changes from data quality or integration issues; deliver crisp root cause analyses (RCAs) with quantified impact and remediation.
• Attribution & identity analytics:
  Explain how different attribution rules and experiment set up choices affect measured performance; identify when performance is truly optimized vs. an artifact of measurement.

About You:

• Expert-level SQL (3+ years of experience):
  Ability to write complex, performant queries to extract and manipulate data from large-scale data warehouses (e.g., Trino, Big Query, Snowflake,…