Hi! We’re Brainlabs, a global digital-first media agency.

We win for our clients using our unique formula of testing, tech & talent.

Testing is in our DNA. We run millions of experiments to deliver remarkable marketing ROI.
We call it the Brainlabs Effect™

Location: [Hybrid] Grand Central Tower, 2, 140 E 45th St, New York, NY 10017

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 Sr. 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. S/he will own the relationship with the client’s Data & Analytics counterparts, where the actionable insights will become recommendations for both media internal and external teams.

What You Do

Data Analysis Responsibilities (50%):

• Apply your expertise in analysis and the presentation of data to uncover unique actionable insights from the development of our tool suite
• Define insightful hypotheses and identify methods to leverage ours and our partners large internal data sets to validate hypothesis and enhance 3rd party research work with proprietary data and the output of our tools

Client Management & Internal Collaboration Responsibilities (40%):

• Build meaningful cross-functional relationships and help activate our suite of tools to internal and external audiences (e.g., through industry conferences) – 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 modeling
• Have a keen eye for and focus on impact and ability to prioritize tool development projects based on desired outcomes, client requirements, shifts in the media and advertising industry, whilst identifying influences that are affecting our client’s categories from legislation through to consumer trends

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

• Previous experience working in media/marketing/advertising, agency experience preferred.
• Experience working with complex data structures; cleansing data and perform statistical analysis such as: multivariate creative analysis, predictive modeling, benchmarking analysis, cluster analysis, user overlap analysis, path to conversion analysis. 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) – experience in attribution, media planning and econometrics, using advertising and media data is ideal
• Produces easy-to-understand, error-free, and timely deliverables that analyze user behavior and motivations online to provide actionable insights that address client business objectives
• Leads the leveraging of advanced analytic methodologies to drive marketing and financial performance, isolates key KPI trends and performance pacing, optimise 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
• You can connects the dots, find the story behind the numbers (i.e. goes beyond reporting, peels away the layers of data), glean 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 make arguments, prove out hypothesis 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, log transformation & exponentiation, probability theory and descriptive & inferential statistics
• Proficiency in SQL as well as Python or R programming languages
• Self-motivated and able to thrive in fast paced environments