Marketing Analyst, SEO
Instacart
Marketing Analyst, SEO
Job Description
Responsibilities
- Own reporting and insights across SEO, SEM, and paid acquisition campaigns, providing visibility into spend efficiency, CPA, ROAS, and conversion metrics.
- Partner with the growth marketing team to evaluate keyword and campaign performance and identify high-ROI opportunities across Google, Bing, YouTube, and emerging search platforms.
- Lead SEO performance analysis — tracking organic visibility, technical SEO metrics, and on-site engagement data to inform both content and engineering roadmaps.
- Build and maintain dashboards and data pipelines in SQL and Looker (or equivalent BI tools) to automate reporting for paid and organic search performance.
- Develop attribution and incrementality models to understand cross-channel impact between organic and paid search and optimize budget allocation.
- Conduct A/B and holdout testing to measure channel lift, keyword effectiveness, and landing-page optimization outcomes.
- Communicate actionable insights to marketing stakeholders and senior leadership, influencing decisions on bidding strategies, SEO investment, and creative direction.
- Collaborate cross-functionally with data science, product, and web engineering teams to ensure SEO and paid media data are properly tracked, tagged, and attributed.
Required Qualifications
- Bachelor’s degree (or equivalent) in Marketing Analytics, Economics, Computer Science, or a related quantitative field.
- 2–4 years of experience in marketing analytics.
- Hands-on experience with SEO analytics tools (Google Search Console, Ahrefs, SEMrush, Screaming Frog, etc.) and paid media platforms (Google Ads, Meta, etc.).
- Strong SQL skills — capable of querying large datasets and building automated pipelines.
- Experience computing key marketing metrics (CTR, CVR, CPC, CPA, ROAS, share of voice, etc.) and using data visualization tools (e.g., Looker, Tableau, Power BI).
- Knowledge of attribution models (multi-touch, last-click, data-driven) and how they affect search optimization and media spend.
- Excellent communication skills with the ability to translate analytics into strategy for marketing and content stakeholders.
- A growth mindset — curious, proactive, and eager to test hypotheses and share what you learn.
Preferred Qualifications
- Familiarity with Python or R for deeper analysis or keyword modeling.
Required Skills
- SEO analytics tools (Google Search Console, Ahrefs, SEMrush, Screaming Frog)
- Paid media platforms (Google Ads, Meta)
- SQL
- Data visualization tools (Looker, Tableau, Power BI)
- Marketing metrics (CTR, CVR, CPC, CPA, ROAS, share of voice)
- Attribution models
- Communication skills
- Growth mindset
Salary Range
$122000 - $135000 CAD
Locations
- Canada, Canada (Remote)
Salary
122,000 - 135,000 CAD / yearly
Skills Required
- SEO analytics tools (Google Search Console, Ahrefs, SEMrush, Screaming Frog)intermediate
- Paid media platforms (Google Ads, Meta)intermediate
- SQLintermediate
- Data visualization tools (Looker, Tableau, Power BI)intermediate
- Marketing metrics (CTR, CVR, CPC, CPA, ROAS, share of voice)intermediate
- Attribution modelsintermediate
- Communication skillsintermediate
- Growth mindsetintermediate
Required Qualifications
- Bachelor’s degree (or equivalent) in Marketing Analytics, Economics, Computer Science, or a related quantitative field. (experience)
- 2–4 years of experience in marketing analytics. (experience)
- Hands-on experience with SEO analytics tools (Google Search Console, Ahrefs, SEMrush, Screaming Frog, etc.) and paid media platforms (Google Ads, Meta, etc.). (experience)
- Strong SQL skills — capable of querying large datasets and building automated pipelines. (experience)
- Experience computing key marketing metrics (CTR, CVR, CPC, CPA, ROAS, share of voice, etc.) and using data visualization tools (e.g., Looker, Tableau, Power BI). (experience)
- Knowledge of attribution models (multi-touch, last-click, data-driven) and how they affect search optimization and media spend. (experience)
- Excellent communication skills with the ability to translate analytics into strategy for marketing and content stakeholders. (experience)
- A growth mindset — curious, proactive, and eager to test hypotheses and share what you learn. (experience)
Preferred Qualifications
- Familiarity with Python or R for deeper analysis or keyword modeling. (experience)
Responsibilities
- Own reporting and insights across SEO, SEM, and paid acquisition campaigns, providing visibility into spend efficiency, CPA, ROAS, and conversion metrics.
- Partner with the growth marketing team to evaluate keyword and campaign performance and identify high-ROI opportunities across Google, Bing, YouTube, and emerging search platforms.
- Lead SEO performance analysis — tracking organic visibility, technical SEO metrics, and on-site engagement data to inform both content and engineering roadmaps.
- Build and maintain dashboards and data pipelines in SQL and Looker (or equivalent BI tools) to automate reporting for paid and organic search performance.
- Develop attribution and incrementality models to understand cross-channel impact between organic and paid search and optimize budget allocation.
- Conduct A/B and holdout testing to measure channel lift, keyword effectiveness, and landing-page optimization outcomes.
- Communicate actionable insights to marketing stakeholders and senior leadership, influencing decisions on bidding strategies, SEO investment, and creative direction.
- Collaborate cross-functionally with data science, product, and web engineering teams to ensure SEO and paid media data are properly tracked, tagged, and attributed.
Tags & Categories
Marketing Analyst, SEO
Instacart
Marketing Analyst, SEO
Job Description
Responsibilities
- Own reporting and insights across SEO, SEM, and paid acquisition campaigns, providing visibility into spend efficiency, CPA, ROAS, and conversion metrics.
- Partner with the growth marketing team to evaluate keyword and campaign performance and identify high-ROI opportunities across Google, Bing, YouTube, and emerging search platforms.
- Lead SEO performance analysis — tracking organic visibility, technical SEO metrics, and on-site engagement data to inform both content and engineering roadmaps.
- Build and maintain dashboards and data pipelines in SQL and Looker (or equivalent BI tools) to automate reporting for paid and organic search performance.
- Develop attribution and incrementality models to understand cross-channel impact between organic and paid search and optimize budget allocation.
- Conduct A/B and holdout testing to measure channel lift, keyword effectiveness, and landing-page optimization outcomes.
- Communicate actionable insights to marketing stakeholders and senior leadership, influencing decisions on bidding strategies, SEO investment, and creative direction.
- Collaborate cross-functionally with data science, product, and web engineering teams to ensure SEO and paid media data are properly tracked, tagged, and attributed.
Required Qualifications
- Bachelor’s degree (or equivalent) in Marketing Analytics, Economics, Computer Science, or a related quantitative field.
- 2–4 years of experience in marketing analytics.
- Hands-on experience with SEO analytics tools (Google Search Console, Ahrefs, SEMrush, Screaming Frog, etc.) and paid media platforms (Google Ads, Meta, etc.).
- Strong SQL skills — capable of querying large datasets and building automated pipelines.
- Experience computing key marketing metrics (CTR, CVR, CPC, CPA, ROAS, share of voice, etc.) and using data visualization tools (e.g., Looker, Tableau, Power BI).
- Knowledge of attribution models (multi-touch, last-click, data-driven) and how they affect search optimization and media spend.
- Excellent communication skills with the ability to translate analytics into strategy for marketing and content stakeholders.
- A growth mindset — curious, proactive, and eager to test hypotheses and share what you learn.
Preferred Qualifications
- Familiarity with Python or R for deeper analysis or keyword modeling.
Required Skills
- SEO analytics tools (Google Search Console, Ahrefs, SEMrush, Screaming Frog)
- Paid media platforms (Google Ads, Meta)
- SQL
- Data visualization tools (Looker, Tableau, Power BI)
- Marketing metrics (CTR, CVR, CPC, CPA, ROAS, share of voice)
- Attribution models
- Communication skills
- Growth mindset
Salary Range
$122000 - $135000 CAD
Locations
- Canada, Canada (Remote)
Salary
122,000 - 135,000 CAD / yearly
Skills Required
- SEO analytics tools (Google Search Console, Ahrefs, SEMrush, Screaming Frog)intermediate
- Paid media platforms (Google Ads, Meta)intermediate
- SQLintermediate
- Data visualization tools (Looker, Tableau, Power BI)intermediate
- Marketing metrics (CTR, CVR, CPC, CPA, ROAS, share of voice)intermediate
- Attribution modelsintermediate
- Communication skillsintermediate
- Growth mindsetintermediate
Required Qualifications
- Bachelor’s degree (or equivalent) in Marketing Analytics, Economics, Computer Science, or a related quantitative field. (experience)
- 2–4 years of experience in marketing analytics. (experience)
- Hands-on experience with SEO analytics tools (Google Search Console, Ahrefs, SEMrush, Screaming Frog, etc.) and paid media platforms (Google Ads, Meta, etc.). (experience)
- Strong SQL skills — capable of querying large datasets and building automated pipelines. (experience)
- Experience computing key marketing metrics (CTR, CVR, CPC, CPA, ROAS, share of voice, etc.) and using data visualization tools (e.g., Looker, Tableau, Power BI). (experience)
- Knowledge of attribution models (multi-touch, last-click, data-driven) and how they affect search optimization and media spend. (experience)
- Excellent communication skills with the ability to translate analytics into strategy for marketing and content stakeholders. (experience)
- A growth mindset — curious, proactive, and eager to test hypotheses and share what you learn. (experience)
Preferred Qualifications
- Familiarity with Python or R for deeper analysis or keyword modeling. (experience)
Responsibilities
- Own reporting and insights across SEO, SEM, and paid acquisition campaigns, providing visibility into spend efficiency, CPA, ROAS, and conversion metrics.
- Partner with the growth marketing team to evaluate keyword and campaign performance and identify high-ROI opportunities across Google, Bing, YouTube, and emerging search platforms.
- Lead SEO performance analysis — tracking organic visibility, technical SEO metrics, and on-site engagement data to inform both content and engineering roadmaps.
- Build and maintain dashboards and data pipelines in SQL and Looker (or equivalent BI tools) to automate reporting for paid and organic search performance.
- Develop attribution and incrementality models to understand cross-channel impact between organic and paid search and optimize budget allocation.
- Conduct A/B and holdout testing to measure channel lift, keyword effectiveness, and landing-page optimization outcomes.
- Communicate actionable insights to marketing stakeholders and senior leadership, influencing decisions on bidding strategies, SEO investment, and creative direction.
- Collaborate cross-functionally with data science, product, and web engineering teams to ensure SEO and paid media data are properly tracked, tagged, and attributed.
Tags & Categories