Data Analyst

MRM • Toronto, Ontario, Canada • 12h ago

Job Description

About The Role

Responsibilities

Analyze media performance across various platforms including TV, Print/OOH, Video, OLA, Paid Social, and Paid Search, identifying performance and effectiveness and contributions towards business objectives
Assemble data from internal data warehouses, Vendor and Partner platforms, and Campaign Briefs to provide holistic and contextual reporting on performance, success, and measurable optimizations that should be addressed
Develop and implement measurement frameworks to evaluate the effectiveness of digital marketing strategies; Scale analysis across Brands, Campaigns, and Regions
Standardize KPIs for reporting to Business Units based on demonstratable relevance
Collaborate with Brand teams translate business objectives into measurable media strategies, provide feedback on performance, and identify learnings for further improvement
Build transparency and traceability in data provisioning, identify and implement solutions to reduce reporting delays, and proactively identify early warning measures
Build operational checks and alerts that monitor for data ingestion failures or anomalies
Uncover insights to explain causality of performance
Plan, design, and have ongoing accountability for the creation of cutting-edge visualizations to meet our client's needs
Collaborate with clients and across agency teams to analyze cross-channel campaign performance, including media, social, email and site as well as creative performance
Continuously look for improvements, monitor quality levels, and manage quality problems
Lead client conversations related to ongoing initiatives where you help clients understand current performance and identify opportunities to optimize future efforts

Education And Experience

3+ years of experience in media data analysis, data systems analysis, or related roles
Demonstrated experience applying statistical analysis to datasets, visualizing results, and communicating the correct interpretation
Strong knowledge of traditional and digital media KPIs (e.g., CPAs (Cost Per Action), Impressions, GRPs, CPC, CPM, CTR, Viewability)
Demonstrated analytical research capabilities with a high attention to detail and a continuous learning mindset
Excellent communication and collaboration skills
Strong project management and organizational skills, with the ability to manage competing priorities to meet deadlines
Experience using Media Mix Models to simulate and/or optimize campaigns is an asset
Knowledge and experience with Python, R, or similar coding languages preferred but not required, including ability to run natural language processing (NLP)
Demonstrated expertise in SQL preferred but not required
Demonstrated expertise in Excel
Demonstrated experience using Power BI, Domo, Looker or Tableau -- with a keen eye towards industry trends in data visualization
Certifications in Power BI and other tools listed above is preferred but not required
Professional certifications related to digital media analytics (e.g., Google Analytics Individual Qualification (GAIQ), Facebook Blueprint, Adobe Certifications) are an asset
Highly accountable self-starter with the ability to work well within a group, as well as independently
Proven business and marketing understanding, to understand performance trends and develop insights into the causality of performance, leading to optimization recommendations
Bachelor's degree in Engineering, Mathematics, Computer Science, Information Technology, Economics, Business (with Marketing focus), Analytics, or Data Science preferred; Advanced degree is an asset

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