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Lead, Business Intelligence

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, and in-game ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance every day. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination, and creativity.


StackAdapt is hiring a BI Lead to join our growing Advertising Technologies Team. You will report to the Senior Director, Business Intelligence, and will be responsible for leading the design and execution of automated & scalable reporting, insights & analytics infrastructure. You will get to interact with other internal teams addressing their data requests and designing data pipelines & dashboards to track key business and performance metrics. It is important that you maintain data accuracy with extreme attention to detail.


StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada for this position.


What you'll be doing:
  • Design and implementation of automated, scalable reporting infrastructure and analytics solutions.
  • Continuously and meticulously monitor, report & review business metrics and supply quality with internal stakeholders translating data into actionable prescriptive insights and recommendations.
  • Initiate, execute and fully own projects from planning to execution collaborating with other BI team members.
  • Perform deep-dive analysis to understand trends, and anomalies, and provide actionable recommendations to stakeholders.
  • Design and build data pipelines, ETL workflows and Dashboards collaborating with other Analysts on the team.
  • Independently build and manage relationships with internal stakeholders, including the Director/VP+ level.
  • Partner closely with Inventory & Data Partnerships, Product Solutions, and Platform Quality Teams, and work cross-functionally on data analysis providing meaningful and strategic recommendations to teams.


What you’ll bring to the table:
  • Prior experience working in Business intelligence/Data/Analytics teams and/or platforms building predictive data & analytics solutions.
  • Bachelor’s or Master’s degree in a quantitative field, with a proven academic track record (e.g., finance, economics, statistics, math, etc.).
  • Minimum 4+ years of working experience in a quantitative or analytics-driven environment with a solid understanding of statistical techniques.
  • Experience scripting with SQL and/or Python, extracting large sets of data, and designing ETL flows.
  • Experience with data visualization tools (Tableau, Qlik, Looker, etc).
  • Strong verbal and written communication skills, comfortable presenting detailed technical and statistical analyses to senior stakeholders.
  • Programmatic Advertising experience/expertise in working with RTB, DSPs, SSPs, publishers or other related platforms preferred.


StackAdapters Enjoy:
  • Your Talent Specialist will include the benefits that are offered in the location indicated
  • Here is an example of what it would look like for the US:
  • Highly competitive salary
  • RRSP/401K matching
  • 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off
  • Access to a comprehensive mental health care platform
  • Full benefits from day one of employment
  • Work-from-home reimbursements
  • Optional global WeWork membership for those who want a change from their home office
  • Robust training and onboarding program
  • Coverage and support of personal development initiatives (conferences, courses, etc)
  • Access to StackAdapt programmatic courses and certifications to support continuous learning
  • An awesome parental leave policy
  • A friendly, welcoming, and supportive culture
  • Our social and team events!


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CEO of StackAdapt
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Vitaly Pecherskiy
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StackAdapt is a self-serve advertising platform offering multi-channel solutions like native, display, video, connected TV, and audio ads, combining advanced machine learning with an exceptional user experience.

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Full-time, remote
DATE POSTED
May 31, 2024

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