Analyst, Analytics
$70k - $75kCanvas Worldwide
Challenge The Comfortable
Canvas Worldwide dares to be the challenger the ad industry needs. Do you "Challenge the Comfortable?" Then you'll fit right in here at Canvas.
Recognized as one of Ad Age's "Best Places to Work" for three consecutive years, Canvas Worldwide is an independent media agency committed to providing creative solutions for brands that challenge the status quo. Our clients include Hyundai, Kia, Genesis, MGM, Zillow and McDonald's (to name a few…).
Our agency cultivates an environment where all are welcome to push outside their comfort zones to solve problems in new ways. We encourage the team to be its best by creating the most positive workplace experience for all. For instance, we outpace the industry on diversity and inclusion AND offer continuous training and workshops for career development. So, if you dare to challenge the comfortable… then keep reading.
The Role
This role supports the analytics team in executing day-to-day campaign measurement, reporting, and data analysis for a large, multi-product portfolio client.
The Analyst is responsible for gathering, organizing, and validating data, maintaining reporting deliverables, and contributing to insight development.
Key Duties & Responsibilities
Data Collection & Management
- Collect, clean, and organize campaign data from multiple sources
- Ensure all required data inputs are accurate and complete
- Identify and escalate discrepancies or missing data
- Maintain documentation of data sources and processes
Reporting Execution
- Update and maintain recurring reporting deliverables
- Build reports using established templates in Excel and PowerPoint
- Ensure outputs are accurate and aligned with team standards
- Support creation of campaign summaries and recaps
Analytics & Insights Support
- Conduct basic analysis to identify trends and performance drivers
- Support development of insights within reports
- Assist in validating findings and ensuring consistency
- Learn and apply foundational measurement concepts
Cross-Functional Collaboration
- Work with Strategy, Investment, Activation, and BI teams
- Communicate clearly on data status and deliverables
- Support ad hoc requests and data pulls
Tools & Systems
- Use Excel, Power BI, Tableau, and similar tools
- Support dashboard updates and QA checks
- Gain exposure to measurement platforms (Nielsen, iSpot, etc.)
Skills & Qualifications
- Bachelor's degree in Analytics, Economics or similar with 2 years of experience
- Strong attention to detail and data accuracy
- Proficiency in Excel and PowerPoint
- Familiarity with data visualization tools preferred
- Basic understanding of data analysis and statistics
- Strong organizational and communication skills
- Curiosity and willingness to learn
$70,000 - $75,000 a year
Salary and Benefits
Actual base salary is determined upon factors such as experience, qualifications, training, certifications, and internal equity. The Company reserves the right to modify this pay range at any time. Base salary is part of a total rewards package that includes highly competitive benefits like generous medical, dental, vision, pet insurance, commuter benefits, disability and life insurance coverage, 401(k) matching, up to 14 holidays per year, a "Do Good Day," and unlimited PTO.
Additional perks include employee social and wellness events, a DEI Council, auto purchase rebate program, monthly wellness allowance, and in-office amenities such as fresh kombucha and an in-house barista inside our beautiful, new vibrant El Segundo office.
In-Office Work Schedule
This is a hybrid role, requiring a minimum of 2 days in-office per week.
Canvas Worldwide is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.
CA Applicants: Canvas Worldwide practices Fair Chance Hiring
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