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Data Analyst

Toronto, Ontario  - Permanent

Job Description

The global advertising market is a $500b dollar a year market. The core goal of the advertising market is to drive a consumer into a location where a product is sold. The problem is that no advertiser today can definitively prove that they have been successful in achieving this core goal – until now. Our client provides brands, advertisers and trading desks an agnostic in-store attribution tag supported by the largest platforms in the world to solve this exact problem. In the future, no brand will advertise without an attribution metric.

Are you intrigued about introducing technology to the global advertising market that will fundamentally change the way advertising is bought and sold? Do you think the industry should move away from the CTR as its core metric and focus instead on an attribution metric? Are you looking to make the move to a data first company having tired of the platform war? Are you excited to work in a small team where everyone knows who you are and appreciates what you are doing for the company? Do you want to be part of building something and think your experience can help accelerate our plans? Our client is a true start up, where life can sometimes be 'hard', but on the flip sde, you will learn a lot. They work fast, have big aspirations and have a lot of fun along the way.

We are a mobile only first-party data company that helps brands, publishers and intelligence firms solve business problems through deterministically validated customer data. We deliver customer segmentation and instore attribution via one to one matching of real-time user data. Our solution is comprised of an ecosystem of connected devices, beacons and application partners coupled with proprietary software and science.
We do not sell media. We collect, measure and sell data. We work with agencies and media companies to measure attribution. We are a platform agnostic, first party data company that helps clients better understand the effectiveness of their media.

We are looking for a passionate Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. You're a problem solver, and someone who knows that it's not necessarily all about which tool you use for the job, but how you use that tool, and others, to get the job done.

Who you are:
•You can bridge the technical and business teams.
•You have a creative spirit, that pushes you to experiment, remain flexible and solve problems.
•You have the ability to think beyond the tactical level.
•You have a “big picture” outlook, keeping the business and client goals in mind.
•You know how to find data, move it around, transform and fill in the gaps and implement your ideas.
•You enjoy staying ahead of the curve with a knowledge and interest in emerging technologies.
•You own your challenges.
•You could stand being in submarine with your team for a month.

Must Have Skills:

•SQL proficiency required.
•A curious mind
•1-3 years of relevant experience working in Data Analytics
•Experience with Business Intelligence tools such as Looker, Tableau, Qlik
•Good project management skills: ability to juggle multiple deliverables and meet deadlines
•Strong attention to detail
•Advanced Excel and PowerPoint skills a must
•Undergraduate degree in a related discipline
•Excellent diagnostic skills to analyze and identify discrepancies within data sets and identify solutions
•Data Modeling in Data Warehouses a plus
•Experience in Python a plus
•Experience in programmatic or digital advertising a plus

What you will be responsible for:
•Data assembly, manipulation and analysis.
•Transforming meaningful data into digestible insights and communicating those insights to a wide range of audiences.
•Working with Client Services to delivery post campaign reports that meet the needs of individual campaign objectives and KPIs.
•Crafting new analyses when needed to answer specific questions.
•Building and maintaining re-occurring metrics and reports.
•Working with the data team to ensure data quality and data documentation
•Solving problems with internal and external clients on data issues

Starting: ASAP
Dress Code: Casual
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