Data Strategy & Analytics Senior Analyst
About The Position
The Senior Analyst plays a critical role in client and company success by reporting and measuring digital campaign performance, identifying deeper insights to improve performance, developing testing roadmaps, and using marketing technology to address data challenges. The role calls for strong quantitative and technical skills, business understanding of client marketing goals, attention to detail, patience when troubleshooting advertising technology platforms, and the ability to contribute to a close-knit team. The role partners with clients and internal teams, conducts custom analyses and structured tests, supports media and site tracking and customer data management, and builds forecasts and client-facing reports. It also involves establishing client data connections, helping automate reporting, researching and applying adtech and martech capabilities, and developing expertise in clients’ technology stacks and data assets.
Requirements
- 1–3 years of cross-channel digital media analytics experience.
- Client-facing experience and experience generating insights.
- Experience with advanced analytics and structured testing.
- Strong analytics and statistics background, including experience working with large datasets.
- Knowledge of programming languages for analysis, such as SQL or Python.
- Experience visualizing data in online platforms such as Datorama, Looker, or Power BI, and/or experience with Microsoft Office Suite.
- Some knowledge of digital marketing measurement solutions, such as marketing mix modeling (MMM), attribution, lift or incrementality testing, and data clean rooms.
- Site analytics experience with GA4 or Adobe.
- Excellent communication and presentation skills, with the ability to build relationships.
- Ability to apply innovative thinking to complex client marketing challenges.
- Ability to self-manage, juggle multiple priorities, and pay close attention to detail.
- Ability to contribute in a fast-paced, entrepreneurial, team-based environment.
Nice To Haves
- Appetite for learning new technologies and interest in automating workflows using AI.
Responsibilities
- Partner with clients and internal teams to understand business and marketing goals and use analytics to advance them.
- Help design and execute tests to quantify marketing campaign impact using advanced statistical and programming techniques, and work with partners to follow media best practices.
- Develop and execute custom analyses to uncover insights for media optimization and client recommendations.
- Apply best practices in media and site tracking and customer data management to improve data availability and cleanliness.
- Build and regularly update media performance forecasts based on conversion targets and/or available budgets, and communicate their predictive accuracy using basic statistical metrics.
- Establish and maintain client data connections using data visualization tools such as Datorama.
- Recommend data visualizations and create ad hoc client-facing reports and visualizations using Excel, PowerPoint, and Python.
- Assist in automating reporting processes and learn how to collect data from major media platforms.
- Research, train on, and develop use cases for adtech and martech capabilities.
- Become an expert in clients’ technology stacks and how their data assets are used for targeting and measurement.
Benefits
- Healthcare, dental, and vision coverage
- Unlimited paid time off
- Group RRSP contributions
- $75 per month wellness stipend
- $100 per month mobile phone stipend
- $50 per month internet stipend
- $500 annual learning stipend
- $2,000 annual tuition stipend
- One-time $200 new-hire home office equipment stipend
- Parental leave: 16 weeks for a primary caregiver and 6 weeks for a secondary caregiver
- Annual work-from-anywhere period of 4 weeks
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
