Digital Marketing Specialist | Spécialiste en marketing numérique

Jesta I.S.; Montreal; Hybrid; CAD 85,000 - 95,000; Full time

Job summary

A leading company in software development is seeking a Digital Marketing Specialist to optimize campaigns and analyze performance metrics. The role involves collaboration across teams to ensure strategic alignment and effective communication of insights. Ideal candidates will have strong analytical skills and experience in digital marketing analytics, particularly in B2B contexts. Bilingualism in French and English is a strong asset, and the position offers a hybrid work model.

Qualifications

• 3–5+ years in digital marketing analytics, ideally in B2B SaaS.
• Expert in multivariate/A–B testing, cohort analysis, attribution modeling.

Responsibilities

• Define, track and analyze KPIs for digital campaign success.
• Build dashboards and models to deliver actionable reports to stakeholders.

Skills

Analytical Mindset

Communication

Problem-Solving

Education

Bachelor’s degree in Marketing

Bachelor’s degree in Statistics

Bachelor’s degree in Data Science

Bachelor’s degree in Business Analytics

Tools

Google Analytics 4

HubSpot

SEMrush

SQL

Excel

Job description

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Overview

The Digital Marketing Specialist, reporting to the VP of Marketing, is responsible for optimizing digital marketing campaigns across various channels, defining and analyzing KPIs, and using statistical methods to refine strategies. The role includes developing success metrics, creating actionable reports, optimizing lead generation funnels, and assessing SEO, SEM, and social media performance. The specialist collaborates with cross‑functional teams to ensure strategic alignment and consistent messaging. Key qualifications include a strong analytical mindset, excellent communication skills for presenting findings to leadership, the ability to simplify technical data into strategic recommendations, and confidence in stakeholder engagement. The role requires organizational skills to manage multiple data‑driven projects in a fast‑paced environment.

Responsibilities

• Performance Measurement: Define, track and analyze KPIs—CTR, CPA, ROAS, LTV, SERP and churn rate—to evaluate digital campaign success across email, social media, PPC, SEO and programmatic channels.
• Statistical Analysis: Apply A/B and multivariate testing, plus cohort analysis, to assess campaign effectiveness, media performance, customer behavior, engagement duration and CTA success—uncovering insights to drive optimization.
• Media Effectiveness: Use attribution modeling, incrementality testing and cross‑channel analysis to evaluate media (LinkedIn, Google Ads, X, display, video, short‑form content), optimize budget allocation and improve ROI.
• Success Metrics Development: Establish and refine metrics tailored to wholesale and retail audiences—ensuring alignment with business goals such as lead quality, conversion rates and customer lifetime value.
• Analytics & Reporting: Build dashboards and models (e.g., Google Analytics 4, Search Console) to deliver clear, actionable multi‑channel campaign reports and trend analyses to stakeholders.
• Lead Scoring & Funnel Analysis: Measure and optimize lead‑generation funnels through predictive analytics and segmentation—enhancing lead quality and accelerating sales cycles.
• SEO & SEM Performance: Monitor organic and paid search via SEMrush or Ahrefs, track keyword rankings, click share and cost efficiency, and recommend improvements.
• Social Media Impact: Assess engagement on LinkedIn, Facebook, Instagram and X—using share‑of‑voice, sentiment metrics and conversion tracking, plus social listening tools to gauge B2B brand perception.
• Market & Competitor Insights: Conduct quantitative research on industry trends and competitor performance (SimilarWeb, SpyFu) to benchmark success and identify new opportunities.
• Collaboration: Partner with sales, product and data teams to align success metrics with business objectives, ensuring insights drive cohesive strategies and consistent messaging.

Requirements

• Education: Bachelor’s degree in Marketing, Statistics, Data Science, Business Analytics, or related field.
• Professional Experience: 3–5+ years in digital marketing analytics, ideally within B2B SaaS or wholesale/retail sectors, with a proven track record in campaign performance analysis and statistical techniques.
• Technical Skills & Tools: Google Analytics 4 & Search Console; HubSpot, SEMrush, Moz (or equivalents); A/B testing frameworks, attribution models, cohort and predictive analytics; SQL and/or Excel.
• Statistical & Analytical Abilities: Expert in multivariate/A–B testing, cohort analysis, attribution modeling, and ROI optimization.
• Automation & Reporting: Experience automating data pipelines and reporting workflows (e.g., via Power Automate).
• Soft Skills: Strong analytical/problem‑solving mindset with meticulous attention to detail; excellent written and verbal communication for presenting to executives and cross‑functional teams; ability to translate complex data into clear strategic recommendations; highly organized, able to manage multiple data‑driven projects concurrently.
• Language: French intermediate (spoken & written) for internal collaboration; English advanced (spoken & written) for client interactions and international operations.

Additional Information

• Some travel may be required for events, conferences, or meetings.
• Hybrid work model: at least 2 days per week in the Montreal office; fully remote considered for exceptional candidates outside commuting distance.
• Must be legally entitled to work in Canada.
• Bilingualism (French/English) is a strong asset.

We thank all applicants for their interest; however, only shortlisted candidates will be contacted.

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Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Advertising, Business Development, and Marketing

• Industries

  Software Development

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