About the Role

We're looking for a Measurement Consultant to join Funnel's Measurement Solutions team in Boston. This team owns Advanced Marketing Measurement, Attribution, Incrementality Experimentation, and Media Mix Modeling - as a core part of Funnel's product portfolio.

This is a mid-level role for someone who can own client engagements end-to-end: designing the right measurement approach for a client's situation, building and defending the models, and communicating results to stakeholders up to CMO/CFO level. You'll work at the intersection of client consulting and Funnel's product and engineering teams, and you'll be expected to bring a point of view - not just execute a playbook.

What You Will Do

• Own measurement engagements for a portfolio of clients, MMM, MTA, and incrementality testing from scoping through readout.

• Advise clients on measurement strategy and operations, including how to structure learning agendas and prioritize what to test next.

• Build, customize, and validate models in Funnel's self-service MMM and triangulation system, exercising judgment on model selection, outlier handling, and sanity-checking outputs against ground truth.

• Design and execute experiments (geo holdouts, matched-market tests, lift studies) including power analysis, estimator selection, and results validation.

• Query and manipulate data directly (SQL, Python) to diagnose data quality issues, reconcile discrepancies, and validate pipeline outputs, you're comfortable getting into the data yourself rather than relying on others.

• Use AI tools (e.g., Claude, ChatGPT, Copilot, or similar) as a core part of your workflow to write and debug code faster, synthesize client data into narratives, draft client-ready materials, and build internal tools that make the whole team more efficient.

• Present findings and recommendations to client stakeholders, including senior leadership, translating technical results into clear business narratives and calibrating tone for sensitive or contested findings.

• Navigate multi-stakeholder client situations (agencies, internal client teams, competing incentives) with sound judgment about what to share, when, and with whom.

• Act as a bridge between client-facing work and Funnel's product/engineering teams surfacing patterns across clients that should inform the roadmap, not just individual feature requests.

• Contribute to internal methodology and tooling (playbooks, reusable analysis frameworks, case studies) that raise the bar for the broader team.

• Stay current on the measurement landscape (new methods, competitor approaches, industry shifts) and use that to sharpen both client recommendations and internal product strategy.

Who You Are

You're a technically capable marketing practitioner who can operate with real autonomy. You understand data generation processes deeply enough to spot when something's wrong before a client does, and you can independently choose and defend a modeling approach rather than just running a standard process. You're equally comfortable in a spreadsheet, a SQL console, and a client meeting. You're AI-forward by default, when you hit a new problem, experimenting with AI tools is one of the first things you try, not a last resort.

Skills and Experience

• 2–4 years of experience in marketing analytics, marketing execution, or a closely related quantitative field.

• Demonstrated, hands-on experience using AI tools to accelerate real work e.g., using an LLM to write/debug analysis code, build a lightweight internal tool, speed up client deliverables, or explore a problem you didn't already know how to solve. We'll ask you to talk through a specific example.

• Strong working knowledge of modern marketing measurement methods (MMM), Attribution, and (quasi-)experimental designs such as geo testing.

• Proficient in SQL and Python for data analysis, diagnosis, and validation, this is a hands-on-the-data role, not just a strategy role.

• Experience translating ambiguous or messy data problems into clear findings and fixes.

• Track record of presenting analytical results to non-technical stakeholders, including senior leaders, in a way that builds trust rather than confusion.

• Experience with experimental design and statistical inference (power analysis, confidence intervals, causal inference basics) strongly preferred.

• Excellent command of English (written and spoken).
  

Benefits and compensation
Have a look at our Funnel benefits and perks!

The estimated annual pay range for this position is $90,000–$110,000 USD.

Other information

This role is based in our Boston office. We value in-person collaboration, so we work from the office 4 days a week.
We do not offer visa sponsorship at this time. Applicants must be authorized to work in the United States without the need for current or future sponsorship.