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Measurement Science Lead I
Instacart
Manitoba
Teletrabalho
CAD 113.000 - 125.000
Tempo integral
Há 25 dias

Resumo da oferta

A leading shopping platform is seeking an experienced analytics professional to join their Measurement Science Team. This role involves designing advanced experiments and developing metrics to assess advertising effectiveness, requiring strong analytical skills and experience with data storytelling. The position is remote, offering competitive compensation between CAD 113,000 and CAD 125,000, depending on experience and location.

Serviços

Competitive compensation
Remote work flexibility
Equity grant eligibility

Qualificações

  • 4+ years of experience in data and measurement or consulting fields.
  • 2+ years of relevant experience in advertising efficacy and media measurement.
  • Strong track record of turning analytics insights into recommendations.

Responsabilidades

  • Design and execute advanced experiments to prove advertising value.
  • Develop innovative metrics and visualizations.
  • Engage in client presentations to advise marketing best practices.

Conhecimentos

Data storytelling
Statistical data analytics
SQL
A/B testing
Advanced visualization skills
Python/R programming

Formação académica

Bachelor’s Degree in a quantitative field

Ferramentas

Tableau
Excel
Descrição da oferta de emprego
Overview

About the Role - We are looking for an experienced analytics professional with a background in experimentation and attribution modeling to join our Measurement Science Team in Media Analytics. As an analytics expert, you’ll develop sophisticated measurement solutions that demonstrate the effectiveness of advertising on the Instacart platform.

This role offers a unique opportunity to work with multi-retailer 1st party deterministic data to provide causal understanding of advertising impact on consumer behavior. You’ll represent Instacart’s measurement capabilities both internally and externally to leading CPG brands and agency partners. Success in this position requires not only analytical expertise but also the ability to build strategic partnerships with advertisers and crossed-functional partners through data-driven and recommendations.

About the Team

The Measurement Science Team is our advertiser-facing team that uses experimentation and custom analytics to help our advertisers understand the effectiveness of their advertising spend. Measurement Science is one part of our broader Media Analytics organization, whose mission is to leverage data to identify opportunities, prove value, and improve performance of Ads through impactful insights, strategic partnership and operational efficiency.

About the Job
  • Design and execute advanced experiments that prove advertising value and optimize campaigns, delivering actionable insights that drive business decisions
  • Tailor measurement approaches to meet stakeholder needs, by developing innovative metrics and data visualizations that reveal deeper business insights
  • Proactively partner with advertisers to shape media measurement strategies and address complex challenges, navigating through ambiguous measurement questions
  • Engage in client presentations and partner internally with cross functional teams to advise on marketing best practices using evidence based insights
  • Identify strategic opportunities, including client upsell potential or internal operational improvement needs, informed by data-driven insights
  • Develop customized analytical solutions, including code, dashboards, and self-service tools with data-driven enhancements either through client works and/or project initiatives
About You

Minimum Qualifications

  • Bachelor’s Degree in a quantitative field such as Engineering, Mathematics/Statistics, Finance, Economics, Business
  • 4+ years of experience in data and measurement or consulting fields with demonstrated expertise in statistical data analytics
  • 2+ years of relevant experience within advertising efficacy, media/marketing measurement, and experimentation
  • Proficiency with experimentation techniques, including A/B testing, holdout designs, and incrementality measurement
  • Strong data storytelling and advanced visualization skills using tools like Tableau, Mode, and Excel
  • Experience developing self-service tools and dashboards for stakeholders
  • Strong SQL skills and proficiency in quantitative analysis programming (Python/R) to create and validate custom analytical solutions
  • Track record of turning analytics insights into strategic recommendations that drive business outcomes
  • Track record of operating independently, demonstrating curiosity, active listening skills, creativity, and delivering results in a highly organized manner

Preferred Qualifications

  • 2+ years of conducting and presenting lift measurement studies to clients
  • Experience directing sales teams in an analytic/quantitative capacity
  • Basic knowledge of ad auction mechanics, targeting algorithms, and attribution models
  • Proficiency in leveraging AI in daily workflows for tasks including document refinement, coding, and automation

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN — $113,000 — $125,000 CAD

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* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.

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