Data Analyst, Business Intelligence

StackAdapt is a self-serve programmatic advertising platform used by the world's top digital marketers. We are looking for a Data Analyst II to join our Business Intelligence team within Advertising Technologies. In this role, you will deliver advanced data analysis and reporting that drives strategic decision-making across product, revenue, and operations teams. You will work with complex datasets, build trusted reporting pipelines, and recommend new KPIs to improve business visibility. This is an excellent opportunity for a data professional who thrives on translating raw data into actionable insights in a fast-paced, AI-augmented environment.

This is a remote-friendly position open to candidates based in Canada.

What You'll Be Doing:

• Design, build, and maintain high-quality dashboards, reports, and datasets that support business decision-making across product, revenue, and operations teams.
• Write advanced SQL queries to extract, transform, and validate data from multiple sources, ensuring accuracy and reliability of reporting outputs.
• Identify and recommend new KPIs and metrics that improve business visibility and stakeholder understanding of performance trends.
• Manage project plans for new reporting needs, including requirements gathering, milestone tracking, and timely delivery.
• Partner with cross-functional teams (Product, Revenue, Operations) to clarify data requirements, resolve data quality issues, and support evidence-based planning.
• Within your first 6 months, you will own the delivery of regular BI reporting cycles, contribute to at least one new KPI framework, and actively support the team's adoption of AI-assisted workflows using Claude for reporting and coding tasks and Gemini for planning and meeting documentation.
• Reporting SLA adherence: dashboards and ad hoc reports delivered within agreed timelines.
• Data quality: reduction in data errors or discrepancies flagged by stakeholders.
• KPI adoption: number of new KPIs recommended and accepted by business partners.
• Stakeholder satisfaction: positive feedback from cross-functional partners on insight quality and responsiveness.
• Project delivery: reporting project plans completed on time and within scope.
• Leverage AI/LLM tools (e.g., Claude, ChatGPT, Gemini) to accelerate analysis, automate repetitive tasks, and draft documentation.

What You'll Bring to the Table

• 2+ years of experience in a data analytics role, with a track record of delivering actionable insights from complex datasets.
• Advanced SQL proficiency, including the ability to write complex queries, troubleshoot data issues, and work with data warehouses (e.g., Redshift, Snowflake, BigQuery).
• Experience building and maintaining dashboards and reports using BI tools (e.g., Looker, Tableau, Sigma, or similar).
• Strong project management skills: ability to clarify requirements, set milestones, manage risks, and deliver reporting initiatives independently.
• Excellent communication skills with the ability to present data findings clearly to both technical and non-technical stakeholders.
• Ability to write effective prompts, critically evaluate AI-generated output, and integrate AI tools into day-to-day workflows.

StackAdapt is a self-serve programmatic advertising platform used by the world's top digital marketers. We are looking for a Data Analyst II to join our Business Intelligence team within Advertising Technologies. In this role, you will deliver advanced data analysis and reporting that drives strategic decision-making across product, revenue, and operations teams. You will work with complex datasets, build trusted reporting pipelines, and recommend new KPIs to improve business visibility. This is an excellent opportunity for a data professional who thrives on translating raw data into actionable insights in a fast-paced, AI-augmented environment.

This is a remote-friendly position open to candidates based in Canada.

What You'll Be Doing:

• Design, build, and maintain high-quality dashboards, reports, and datasets that support business decision-making across product, revenue, and operations teams.
• Write advanced SQL queries to extract, transform, and validate data from multiple sources, ensuring accuracy and reliability of reporting outputs.
• Identify and recommend new KPIs and metrics that improve business visibility and stakeholder understanding of performance trends.
• Manage project plans for new reporting needs, including requirements gathering, milestone tracking, and timely delivery.
• Partner with cross-functional teams (Product, Revenue, Operations) to clarify data requirements, resolve data quality issues, and support evidence-based planning.
• Within your first 6 months, you will own the delivery of regular BI reporting cycles, contribute to at least one new KPI framework, and actively support the team's adoption of AI-assisted workflows using Claude for reporting and coding tasks and Gemini for planning and meeting documentation.
• Reporting SLA adherence: dashboards and ad hoc reports delivered within agreed timelines.
• Data quality: reduction in data errors or discrepancies flagged by stakeholders.
• KPI adoption: number of new KPIs recommended and accepted by business partners.
• Stakeholder satisfaction: positive feedback from cross-functional partners on insight quality and responsiveness.
• Project delivery: reporting project plans completed on time and within scope.
• Leverage AI/LLM tools (e.g., Claude, ChatGPT, Gemini) to accelerate analysis, automate repetitive tasks, and draft documentation.

What You'll Bring to the Table

• 2+ years of experience in a data analytics role, with a track record of delivering actionable insights from complex datasets.
• Advanced SQL proficiency, including the ability to write complex queries, troubleshoot data issues, and work with data warehouses (e.g., Redshift, Snowflake, BigQuery).
• Experience building and maintaining dashboards and reports using BI tools (e.g., Looker, Tableau, Sigma, or similar).
• Strong project management skills: ability to clarify requirements, set milestones, manage risks, and deliver reporting initiatives independently.
• Excellent communication skills with the ability to present data findings clearly to both technical and non-technical stakeholders.
• Ability to write effective prompts, critically evaluate AI-generated output, and integrate AI tools into day-to-day workflows.