StackAdapt
Technology
Lead,BusinessIntelligence
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead, Business Intelligence at StackAdapt. Skills: Business Intelligence, Data Pipelines, Analytics Infrastructure, Reporting. Design automated reporting infrastructure. Design scalable reporting infrastructure”
Industry & Context.
Deep-dive analysis
What They're Looking For.
Must Have
Bachelor's or Master's degree in quantitative field, 4+ years working experience in quantitative/analytics environment, SQL scripting experience, Python scripting experience, PySpark scripting experience, Experience in Business intelligence/Data/Analytics teams, Experience building predictive data & analytics solutions, Solid understanding of statistical techniques, Experience with data visualization tools, Verbal communication skills, Written communication skills, Ability to write effective prompts, Ability to critically evaluate AI-generated output, Ability to integrate AI tools into workflows
Nice to Have
Programmatic Advertising experience, Experience working with RTB, Experience working with DSPs, Experience working with SSPs, Experience working with publishers
What You'll Do.
Design automated reporting infrastructure
Design scalable reporting infrastructure
Design analytics solutions
Monitor business metrics
Report business metrics
Review business metrics
Translate data into insights
Translate data into recommendations
Perform deep-dive analysis
Provide recommendations to stakeholders
Build relationships with internal stakeholders
Manage relationships with internal stakeholders
Partner with Inventory & Data Partnerships
Partner with Product Solutions
Partner with Platform Quality Teams
Provide data analysis
Provide strategic recommendations
Leverage AI/LLM tools
Automate repetitive tasks
How You'll Work.
Team & Collaboration
Collaborating with other Analysts; Collaborating with other BI team members; Internal stakeholders; Cross-functionally on data analysis; Partner closely with teams
Communication Scope
Presenting detailed technical analyses; Presenting statistical analyses
Process & Methodology
Project planning, Project execution
Full Job Description
StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. StackAdapt is a self-serve programmatic advertising platform used by marketers around the world. Our Business Intelligence team sits at the intersection of data, strategy, and product — turning complex data into clear, actionable insights that drive platform growth. We are hiring a BI Lead to join our growing Advertising Technologies Team. You will report to the 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. Design and build data pipelines, ETL workflows and Dashboards collaborating with other Analysts on the team. 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, anomalies, and provide actionable reco
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