Marketing Science Senior Analyst

twentysix; Calgary; On-site; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Competitive benefits packages

Vacation and flex days

Access to online services for families and new parents

Job summary

twentysix is looking for a Marketing Science Senior Analyst to co‑lead measurement strategies and advanced analytics for media performance in B2B environments. The role will involve analyzing campaign effectiveness, building scalable frameworks, and delivering actionable insights to optimize performance.

The ideal candidate should have a B.S. degree in a quantitative field, with 3–5 years of experience in media marketing analytics, proficiency in statistical programming, and expertise in analytics tools such as Adobe and Google Analytics. A strong focus on collaboration and leadership within a team is essential.

Qualifications

• 3–5 years of experience leading analytics deliverables in media marketing science, ideally within B2B contexts.
• Expertise in analytics platforms such as Adobe Analytics and Google Analytics.
• Strong proficiency in Python, R, SQL, or other statistical programming languages.

Responsibilities

• Build and maintain measurement frameworks mapping campaign objectives to KPIs.
• Deliver regular insights and optimization recommendations.
• Conduct analyses aligned to the Learning Agenda such as forecasting and correlation studies.

Skills

Analytical skills

Python

Data Visualization

SQL

Statistics

Education

B.S. degree in a quantitative or technical field

Tools

Adobe Analytics

Google Analytics

Tableau

PowerBI

Job description

As a Marketing Science Senior Analyst, you will co‑lead the design and execution of measurement strategies, advanced analytics, and content intelligence programs that drive media performance in B2B environments. You will partner with stakeholders to translate business objectives into KPIs, build scalable frameworks, and deliver actionable insights that optimize campaigns across creation and progression. Your expertise in data science, reporting, and testing ensures that marketing investments are measurable, transparent, and continuously optimized.

Responsibilities

Measurement Strategy

• Build and maintain measurement frameworks mapping campaign objectives to KPIs.
• Assess current measurement approaches and recommend updates aligned with media plans.
• Establish baselines using historical data and ensure governance protocols are documented.
• Share updated frameworks with stakeholders to inform insights, learnings, and optimizations.

Content Intelligence & Insights

• Deliver regular insights and optimization recommendations (monthly cadence).
• Support Quarterly Business Reviews with reporting and analysis.
• Provide creative and media optimization recommendations.
• Develop recap deliverables for prioritized campaigns and key moments.

Advanced Analytics

• Conduct analyses aligned to the Learning Agenda (e.g., forecasting, correlation studies, brand sentiment, ad‑fatigue).
• Build descriptive and inferential statistical models to evaluate campaign effectiveness.
• Develop machine learning models for personalization, lead scoring, and progression analysis.

Learning Program

• Design and scale a structured Learning Agenda across media activities.
• Build testing frameworks (A/B/M/V) and deliver test readouts.
• Document best practices and maintain a centralized Learning Library dashboard.

Data & Dashboards

• Build and manage unified data foundations integrating campaign, programmatic, partner, and brand study data.
• Establish anomaly detection mechanisms and QA processes.
• Design and maintain dashboards (campaign performance, programmatic/social, partner data, brand studies).
• Ensure taxonomy alignment across data sources and reporting views.

Tagging, Trafficking & Taxonomy

• Consult on tagging, trafficking, and UTM requirements to ensure measurement consistency.
• Generate and manage Creative IDs (CID) database.
• Support QA processes and flag trafficking issues based on anomaly detection.

Collaboration & Leadership

• Provide direction to associate analysts and analysts.
• Contribute analytics content for proposals, pitches, and thought‑leadership initiatives.
• Partner with stakeholders to align measurement, insights, and optimization priorities.

Qualifications

• B.S. degree in a quantitative or technical field (Economics, Mathematics, Computer Science, Business, etc.).
• 3–5 years of experience leading analytics deliverables in media marketing science, ideally within B2B contexts.
• Expertise in analytics platforms (Adobe Analytics, Adobe Experience Platform, Google Analytics, enterprise analytics tools, tag management systems).
• Strong proficiency in Python, R, SQL, or other statistical programming languages.
• Experience with ETL/data integration, automated reporting pipelines, and anomaly detection.
• Skilled in data visualization platforms (Tableau, PowerBI).
• Familiarity with machine learning techniques applied to media performance and personalization.
• Experience analyzing B2B digital channels (paid search, display, CRM‑driven campaigns, ABM platforms).
• Understanding SEM, CRM, and account‑based marketing integration within broader media strategies.
• Knowledge of market research techniques and their application to media optimization.

Benefits

• Global maternity and parental leave.
• Work‑life balance.
• Competitive benefits packages.
• Vacation, compassionate leave, wellness days, and flex days.
• Access to online services for families and new parents.
• Diversity and Inclusion Board with 13 affinity groups.
• Internal learning and development programs.

Critical Mass is an equal‑opportunity employer.