Campaign Specialist
- Toronto, ON, Canada
Contract
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Job details
- Job type
- Contract
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- Posting language
- English
- Posted
Original job description
TekStaff's Client has a current vacancy for a Manager, Campaign Analytics
Candidate Requirements/Must Have Skills:
- 5+ years of progressive experience in campaign analytics, marketing analytics, customer analytics, business intelligence, data science, or a related field
- Demonstrated experience with campaign measurement, experimentation, incrementality, segmentation, targeting, personalization, forecasting, customer value, and ROI or profitability analysis.
- 3+ years of strong experience with SQL and data-analysis skills, with experience using large-scale data and cloud environments such as GCP.
- Proficiency in Python, R, SAS, Power BI, Tableau, or comparable analytics and visualization tools.
- Proven ability to translate complex analytical findings into concise, actionable recommendations and executive-ready stories for technical and non-technical audiences is critical for the role.
Nice-To-Have Skills:
- Recent experience in banking, financial services, or retail is preferred.
- Experience developing reusable data assets, dashboards, scorecards, metric definitions, and governed reporting solutions
- Familiarity with campaign decisioning platforms such as Pega / Tsys Customer Decision Hub is an asset.
Degrees or certifications:
- Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Engineering, Business, Finance, Marketing Analytics, or a related quantitative field.
TekStaff may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.
More about this job
Responsibilities
Analyze campaign performance and customer data, including measurement, experimentation, segmentation, targeting, forecasting, and ROI or profitability. Translate complex analytical findings into concise, actionable recommendations and executive-ready presentations for technical and non-technical audiences.
Requirements
Requires at least five years of relevant analytics experience and at least three years of strong SQL and data-analysis experience, including work with large-scale data and cloud environments such as GCP. Candidates should be proficient with analytics and visualization tools such as Python, R, SAS, Power BI, or Tableau, and hold a bachelor's degree in a quantitative or related field.
Skills
- Campaign Analytics
- Marketing Analytics
- Customer Analytics
- Campaign Measurement
- Experimentation
- Incrementality Analysis
- Segmentation
- Targeting
- Personalization
- Forecasting
- Customer Value Analysis
- ROI Analysis
- SQL
- Python
- Data Visualization
- Executive Communication
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Marketing
- Technology
- Finance & Accounting
Keywords
- Campaign Analytics
- Marketing Analytics
- Customer Analytics
- Business Intelligence
- Data Science
- Campaign Measurement
- Experimentation
- Incrementality
- Segmentation
- Targeting
- Personalization
- Forecasting
- Customer Value
- ROI Analysis
- Profitability Analysis
- SQL
- GCP
- Cloud Environments
- Python
- R
- SAS
- Power BI
- Tableau
- Dashboards
- Scorecards
- Metric Definitions
- Governed Reporting
- Pega
- TSYS Customer Decision Hub
- Banking