Measurement Consultant - Boston

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Overview

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,

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OtherConsultant

About the Role

~1 min read

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.

Responsibilities

~2 min read

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Own measurement engagements for a portfolio of clients, MMM, MTA, and incrementality testing from scoping through readout.
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Advise clients on measurement strategy and operations, including how to structure learning agendas and prioritize what to test next.
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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.
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Design and execute experiments (geo holdouts, matched-market tests, lift studies) including power analysis, estimator selection, and results validation.
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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.
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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.
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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.
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Navigate multi-stakeholder client situations (agencies, internal client teams, competing incentives) with sound judgment about what to share, when, and with whom.
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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.
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Contribute to internal methodology and tooling (playbooks, reusable analysis frameworks, case studies) that raise the bar for the broader team.
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Stay current on the measurement landscape (new methods, competitor approaches, industry shifts) and use that to sharpen both client recommendations and internal product strategy.

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.

Requirements

~1 min read

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).

What We Offer

~1 min read

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.