Analyst, Marketing Analytics

Responsibilities

• - Collect and extract reporting data from platforms such as web analytics, paid media, marketing automation, CRM, and other campaign systems; organize and store securely for dashboard integration, analysis, and reporting presentations.
• - Prepare, cleanse, normalize, and validate datasets in Excel and other approved tools. Check for missing values, duplicates, inconsistent naming, formatting issues, and other data quality concerns, and document or escalate issues.
• - Use Excel and approved AI-enabled tools, including ChatGPT or Claude where appropriate, to support data preparation, QA, and repeatable workflows while following company and client data handling requirements.
• - Maintain existing dashboards and reporting assets by refreshing data, checking filters and calculations, confirming date ranges and labels, and flagging unexpected changes or errors.
• - Support the formatting and quality assurance of dashboards, charts, tables, and reporting presentations so that outputs are accurate, readable, and consistent with established templates.
• - Assist with web analytics tracking QA and troubleshooting, including checking tags, conversion events, URLs, and reporting behavior against documented requirements; record findings and work with senior teammates to resolve issues.
• - With support from senior Marketing Analytics teammates, coordinate with Strategy, Media, Marketing Technology & Operations, and other internal teams to confirm understanding of reporting data sources, KPI definitions and calculations, deliverable timelines, and reporting needs.
• - Support recurring and ad hoc reporting requests, internal presentations, proposal materials, and other analytics work under the guidance of more senior teammates.
• - Build technical skills through hands-on project work, feedback, and relevant training or certifications in analytics, tagging, visualization, and marketing platforms.

Requirements

• - A recent graduate or early-career candidate with a degree, diploma, or equivalent learning in analytics, marketing, business, economics, mathematics, statistics, information systems, or related field. Relevant project, internship, co-op, or work experience is welcome; extensive professional experience is not required.
• - Advanced working knowledge of Microsoft Excel, including formulas, lookups such as XLOOKUP or VLOOKUP, PivotTables, sorting and filtering, charts, and formatting. Able to explain how they have used Excel to organize or check data.
• - A data-driven mindset, with strong attention to detail and an understanding of why accuracy, consistency, and documentation matter in reporting.
• - Comfort working with structured data and performing basic checks such as comparing totals, identifying blanks or duplicates, standardizing fields, and spotting values that appear inconsistent.
• - Clear written and verbal communication skills, including the ability to explain a data issue, ask focused questions, and share work status reliably.
• - Strong accountability and follow-through; able to manage assigned tasks, meet agreed deadlines, and raise risks or blockers early.
• - Curiosity about B2B marketing measurement, digital analytics, campaign performance, and how data can help teams make better decisions.
• - Interest in using AI-enabled tools to assist with routine analytics work, paired with the judgment to review outputs for accuracy and follow data privacy and client requirements.
• - Experience or familiarity with Google Analytics (GA4), Google Tag Manager, Looker or Looker Studio, Adobe Analytics, Adobe Tags/Launch, Google Ads, LinkedIn Campaign Manager, Microsoft/Bing Ads, or other marketing platforms is an asset, but not required.
• - Exposure to SQL, basic statistics, data visualization, or presentation tools such as PowerPoint is an asset.

Preferred

• - Experience or familiarity with Google Analytics (GA4), Google Tag Manager, Looker or Looker Studio, Adobe Analytics, Adobe Tags/Launch, Google Ads, LinkedIn Campaign Manager, Microsoft/Bing Ads, or other marketing platforms is an asset, but not required.
• - Exposure to SQL, basic statistics, data visualization, or presentation tools such as PowerPoint is an asset.

Benefits

• - 🏖️ Time Off & Flexibility – Flexible PTO, summer Fridays, and paid parental leave (up to 16 weeks for birthing parents). Plus, we’re closed from Christmas to New Year’s so you can fully unplug.
• - 💙 Health & Wellness – Comprehensive medical benefits and free premium access to the Calm app for relaxation and mindfulness.
• - 💰 Financial Security – 401(k) with a 3% company contribution* (US Only), life insurance, long-term disability, and AD&D coverage for extra peace of mind.
• - 💼 Learning & Growth – A professional development fund ($500) and continuous learning programs to invest in your career.
• - 💻 Tech & Perks – Company-provided laptop & accessories, monthly Wi-Fi & cell stipend, and exclusive discounts through Perkopolis.