Data Analyst | Brainlabs | Remote (Canada, United States)

Data Analyst | Brainlabs | Remote (Canada, United States)

Remote Canada, US
Application ends: September 26, 2024
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Job Description

Classification: Full-time
Team: Data Strategy
Reporting to: Data Effectiveness Team
Estimated Start: July 2024
Education: Bachelor’s in Statistics, Applied Mathematics, Economics or another quantitative field
Location: REMOTE – Anywhere, US or Canada
Work Authorization: This role is open to US or Canadian Citizens/Permanent Residents and non-citizens allowed to work for any US or Canadian employer. We are unable to sponsor any work authorizations for this role.

What’s the role

We’re looking for an experienced Data Analyst who can manage large data sets – both our own and our partners’ – to discover meaningful insights and build internal and external cross-functional relationships. They will support the relationship with the client’s Data & Analytics counterparts, where the actionable insights will become recommendations for both media internal and external teams.

So, tell me about the company

Brainlabs is culture-first. You’ve probably heard other companies describe themselves as people, clients, or profit first – but we see people, clients and profit as the building blocks of our ecosystem. Culture powers all three and we know that when the ecosystem is balanced, we all win! That’s why the culture we cultivate is a culture of winning together.

To learn more about what it’s like to be a Brainlabber, check out our culture code.

What you do 

Data Analysis Responsibilities (60%):

  • Apply your expertise in analysis and the presentation of data to uncover unique actionable insights, maximizing cross-channel media efficiency and client return on media investment
  • Define insightful hypotheses and identify methods to leverage ours and our partners large internal data sets to validate hypothesis, guide strategy, refine marketing activation and drive clients’ business impact

Client Management & Internal Collaboration Responsibilities (30%):

  • Build meaningful cross-functional relationships  working with the account teams to identify potential opportunities to re-calibrate our tools using our client’s data sets and open the door for more detailed discussions around modelling, analysis, testing, reporting and business impact from media strategy & tactics 
  • Have a keen eye for, and focus on, the impact of marketing activity, seeking the opportunity to optimize media strategy on behalf of clients. This includes serving as an informed and responsible stakeholder in client/agency meetings, where subject matter expertise is deployed to move the clients’ business forward.

Team Management Responsibilities (10%):

  • Be willing to train and coach team members

What we really want:

  • An experienced data enthusiast and team player eager to work at the smartest experimentation-led digital marketing agency on the planet!

Who you are 

  • Work with complex data structures; cleanse data and perform statistical analysis such as: multivariate creative analysis, predictive modeling, benchmarking analysis, cluster analysis, user overlap analysis, path to conversion analysis while possessing a track record of translating analysis into actionable insights for the marketing and advertising industry
  • 3 years’ experience in analytics, with a leaning towards media analysis (effectiveness and efficiency) – with experience in attribution, media planning and econometrics.
  • Produces easy-to-understand, error-free, and timely deliverables that leverage category and client specific data along with media performance data to modify and refine marketing strategy while addressing client business objectives
  • Supports the leveraging of advanced analytic methodologies to drive marketing and financial performance, isolates key KPI trends and performance pacing, optimize consumer online/offline experiences, predict consumer behaviors, maximize sales conversion, drive media mix optimization and forecast critical business outcomes
  • Designs, executes and delivers advanced analytics that enable our teams and clients to make more intelligent decisions across the campaign life cycle and consumer decision journey to drive relevance, scale & performance – influencing, designing and developing the output of our tool suite 
  • Connects the dots and finds the story behind the numbers (i.e. goes beyond reporting, peels away the layers of data), gleans insights and articulates meaning and implications to business outcomes. 
  • Collaborates closely with client teams to guide integrated cross-channel storytelling, data interpretation, insight generation and analytics program evolution
  • Proven understanding of quantitative and qualitative analysis, and track record of using data to support recommendations, prove out hypotheses and measure the success of such actions
  • Strong process, project and vendor management skills with successful experience partnering with cross-functional teams
  • High degree of comfort with advanced applied statistics, including bayesian modeling, central limit theorem, budget elasticity of demand, probability theory and descriptive & inferential statistics
  • Mastery of both SQL as well as Python programming languages

How you succeed 

In addition to the below, you will be evaluated based on how you live our Culture Code! See our Culture Code on the next page.

Key metrics of success for this role include:

  • Data analysis
  • Client Relationship Management 
  • Team Leadership

What happens next

We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.

In line with our adaptive working policy and our standard way of working in North America we do not restrict our hiring to a fixed office location therefore we hire candidates across different states in the US and indeed in other countries such as Canada. We also receive applications from, and hire, candidates with varying levels of experience for example those who have a few years experience in a role to those who are looking to make a step up. The salary levels on our job postings are set so as to account for these variable factors with decisions on the salary to be offered only made once we know the experience and location of our new hire.

Beyond salary, you can learn more about our Benefits & Perks for our North America Brainlabbers here. 

Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. 

Thank you for your interest in Brainlabs! We look forward to getting to know you!