Campaign Analyst

Pay: 60/hr

Contract Duration: 12 months + possible extensions

Work Arrangement: Hybrid (2-3x weekly downtown, Toronto)

We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.

Vacancy: This posting is for a currently vacant role.

Required Skills & Experience

• Bachelor’s degree in Business, Analytics, Statistics, Economics, or related field

• 3–5+ years of experience in reporting, analytics, or measurement (preferably within financial services)

• Strong proficiency in SQL and experience with large datasets

• Hands-on experience with BI tools (e.g., Tableau, Power BI, Looker)

• Solid understanding of campaign measurement methodologies (e.g., A/B testing, attribution models)

• Advanced Excel skills (pivot tables, modeling, data manipulation)

Nice to Have Skills & Experience

• Experience working within a regulated environment (e.g., banking, insurance, wealth management)

• Familiarity with customer data platforms (CDPs) and marketing automation tools

• Knowledge of statistical analysis tools (e.g., Python, R)

• Understanding of privacy regulations (e.g., GDPR, PIPEDA)

Job Description

Reporting & Dashboarding

• Develop, maintain, and optimize standardized reporting suites and executive dashboards across key business units

• Automate recurring reports using BI tools to improve efficiency and reduce manual intervention

• Ensure consistency, accuracy, and traceability of KPIs across all reporting outputs

Campaign Measurement & Analytics

• Design and execute measurement frameworks for marketing campaigns (e.g., attribution models, incrementality testing, ROI analysis)

• Partner with Marketing, Product, and Digital teams to evaluate campaign effectiveness and provide actionable recommendations

• Analyze multi-channel performance including email, paid media, web, and mobile channels

Data Management & Governance

• Ensure adherence to internal data governance policies and external regulatory requirements (e.g., privacy, consent, and data usage standards)

• Collaborate with data engineering teams to validate data pipelines, troubleshoot discrepancies, and ensure data integrity

• Support audit processes by maintaining documentation and lineage of reporting logic

Insights & Storytelling

• Translate complex datasets into clear, concise insights tailored for executive and non-technical audiences

• Identify trends, risks, and opportunities to drive business growth and improve customer experience

• Proactively recommend optimization strategies based on performance data

Stakeholder Management

• Partner with cross-functional teams including Risk, Compliance, Finance, and Technology

• Gather and document business requirements for reporting and measurement needs

• Act as a subject matter expert for reporting methodologies and performance metrics

• Understands and articulates the business case of business questions and the estimated value being delivered.

• Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use.

• Identifies trends and patterns to address identified business questions and provide insights through reporting and data visualization techniques.

• Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.

• Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.

• Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.

• Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.

• Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.

• Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.

• Develops data visualizations of "large" amounts of data that facilitate the intuitive presentation of data to decision makers.

• Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.

• Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.

• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

• Provides specialized consulting, analytical and technical support.

• Exercises judgment to identify, diagnose, and solve problems within given rules.

• Works independently and regularly handles non-routine situations.

• Broader work or accountabilities may be assigned as needed.

• Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.