Martech & Data Intelligence Coordinator

Company description


Overview

If you tick one of these boxes, then we could have the role for you!

• You’re a successful graduate of a college or university marketing program looking to focus your career in data and analytics using best-in-class digital platforms
• You’re a numbers-driven and technically-competent individual, ready to hone your skills and make your move into the high demand area of digital analytics
• You are a generalist media practitioner with a knack for numbers and you are capable of learning technical concepts, passionate about what this role has to offer.This exciting role will give you breadth of experience across the digital analytics landscape.In this role you will be responsible for utilising digital platforms and transforming vast data sets into actionable insights that inform targeting and optimisation; specifically, connecting or extracting data, tracking, measuring, analysing and optimising digital media, for improved conversion and business performance.

Responsibilities

You will be responsible for key tasks across three main areas:

1. Business intelligence and reporting: Ingesting disparate digital data sources across Paid, Owned and Earned Digital Media into a consolidated environment for tracking. Learn how to set up automated process for data extraction, via API, SFTP, SQL etc.; Extract, transform and load data for ingestion into business intelligence platforms; Learn how to build

dashboards in business intelligence platforms. Build and deploy semi-automated Excel and Powerpoint digital reporting solutions such as campaign performance tracking. Provide the planning and buying teams with analysis, insights and data-informed recommendations from the aforementioned reporting areas; Opportunity to work across key business Intelligence platforms for digital media, mainly Datorama.

2. Attribution modelling: Translate objectives into digital media measurement plans; Analyze and report on campaign performance through standardized ad-server attribution models; Learn how to build simplistic algorithmic attribution models and implement them; Work alongside data scientists to deploy more complex algorithmic attribution models;

Make data-informed recommendations for optimizing digital media and content, in order to improve conversion volume and efficiency; Opportunity to work on key attribution platforms such as Google’s Data-Driven Attribution model with Doubleclick, and proprietary Publicis Media platforms

3. Data Strategy: You will have the opportunity to translate campaign reporting and insights into actionable strategies. From implementation, you will report on these tactics to ensure data strategies meet and exceed client objectives and

goals.

Qualifications

Experience: Essential

• Graduate of University or College level media, marketing or advertising program
• Technically component and capable of working with and learning new digital and tech platforms
• Strong numerical and analytical skills
• Demonstrated ability to convert data analysis into meaningful action for brands
• Effective written and verbal communication skills
• Ability to cope under pressure and deliver to tight deadlines autonomously.

Experience: Nice-to-haves

• Experience with or strong knowledge of ad servers and web analytics platforms such as DoubleClick, Adobe Media
• Optimiser, Sizmek, Google Analytics or Adobe Omniture Site Catalyst
• Familiarity with ad ops and adtech platforms
• Working with syndicated data sources (Nielsen, comScore etc.)

Issuing Office: Toronto, Ontario Job

• Coding, such as VBA, SQL, C++, Python, Javascript
• Competency with business intelligence and analytics software, such as Tableau
• Knowledge of statistical concepts
• Tertiary education.
• Key Performance Indicators
• Accuracy in numbers reported
• Improved efficiency in reporting, through automation of repetitive tasks
• Elevated quality of insights
• Elevated quality of recommendations
• Improved digital media performance.

Additional information

Transparency matters to us. The salary for this position is $40,000 per year. Actual compensation within this range will be based on a variety of factors, including relevant experience, knowledge, skills, and applicable certifications. This range reflects what we reasonably expect to offer based on current market data.

Zenith is an equal opportunity employer with a strong commitment to diversity and inclusion. We create and nurture a vibrant work environment that celebrates, values and leverages all aspects of diversity and inclusiveness, attracts world-class talent and serves as the industry benchmark for best practices. 

We encourage applications from all qualified individuals and will provide appropriate accommodation for candidates with disabilities or accessibility needs throughout the recruitment process, upon request. 

Please contact our recruiter for any questions, accommodations or specific requests.