Data, Measurement and Analytics Specialist, Large Customer Sales

Google; Toronto; On-site; CAD 156,000 - 159,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google Toronto is seeking a Data, Measurement and Analytics Specialist to lead the measurement and experimentation strategy for Large Customer Sales, partnering with clients to drive growth and informed decision making.

The role emphasizes advanced analytics, incremental testing, MMM and attribution, with extensive engagement with executives and cross-functional teams to translate data into business impact.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of analytics experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
• Experience with advanced measurement methodologies including MMM, MTA, Incrementality testing, or Causal Impact analysis.

Responsibilities

• Develop measurement plans for advertisers and agencies using incrementality experiments, MMM, and attribution frameworks to prove media value.
• Act as a technical advisor to executives and decision-makers, delivering compelling data stories that influence business decisions.
• Lead data-driven measurement opportunities across Google Ads and Google Marketing Platform products, driving growth and AI-driven insights.
• Apply causal inference and statistical modeling to design experiments and optimize MMM data inputs for clients navigating privacy standards.
• Collaborate with cross-functional teams to align product and customer strategy with measurement maturity.

Skills

8+ years analytics experience

MMM

MTA

Incrementality testing

Causal Impact

Education

Bachelor's degree

Job description

Data, Measurement and Analytics Specialist, Large Customer Sales

Google Toronto, ON, Canada

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

This posting is for an existing vacancy. Google utilizes AI tools to assist in assessing candidates in our hiring processes.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
• Experience working with advanced measurement methodologies, including Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), Incrementality testing (Conversion Lift, Brand Lift), or Causal Impact analysis.

Preferred qualifications:

• Experience in deploying first-party data strategies, customer data systems, and Google’s measurement ecosystem, including Google Analytics, tagging systems (gTag, GTM), and key APIs.
• Experience managing and influencing executive stakeholder relationships on recommending ways to improve product and customer strategy.
• Ability to execute measurement frameworks, marketing experiments, incrementality testing, causal lift, MMM, and Multi-Touch Attribution.
• Ability to consult with executive clients, manage external vendors, and partner across cross-functional teams to drive alignment.
• Excellent statistical skills to translate datasets into financial insights, compelling dashboards, and clear executive presentations.

About the job

As a Data, Measurement and Analytics (DM&A) Specialist, you will act as an advisor to Google’s largest and most sophisticated advertisers. You will lead the measurement and experimentation strategy, using insights to solve business issues and unlock new avenues for growth during a pivotal moment of industry transformation. Working at the intersection of media, technology, and data science, you will partner with our clients to guide their measurement maturity and support their business goals.

You will be a collaborative problem-solver who navigates ambiguity and possesses business acumen. You will build trusted relationships with key decision-makers, including executive leaders across marketing, analytics, and strategy, and seamlessly partner with Google's sales and product teams. By translating datasets into compelling narratives, you will influence critical business decisions and motivate organizational change. With a background in advanced marketing analytics, you will be an expert in demonstrating media value through incrementality, Marketing Mix Models (MMM), attribution, and AI-driven solutions. You will empower investigative clients to modernize their measurement infrastructure by integrating first-party data and adopting privacy-safe best practices, ultimately ensuring their media investments deliver, real-world success.

Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Canada: $156000 - $159000 (CAD) + 60% bonus target + equity + benefits

Responsibilities

• Understand privacy-durable data foundations for clients by guiding the implementation of Google’s tagging infrastructure (gTag, Google Tag Manager (GTM), server-side GTM) and first-party data solutions (Data Manager API, Google Cloud integrations) to ensure resilient signal capture.
• Develop measurement plans for advertisers and agencies using incrementality experiments, MMM, and attribution frameworks to prove media value.
• Act as a technical advisor to analytics, finance, and marketing decision-makers; challenge the status quo, build executive partnerships, and deliver compelling data stories that influence business decisions.
• Lead the business-cycle for prioritized data and measurement opportunities across Google Ads and Google Marketing Platform products, managing feature adoption, scaling AI innovation, and accelerating business growth.
• Apply data science, causal inference, and statistical modeling techniques to design incrementality experiments, optimize MMM data inputs, and help clients navigate changing industry privacy standards.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.