As a Senior BI Data Analyst, you will analyze data, create reporting infrastructure, provide insights, and support strategic decision-making using various quantitative methods.
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.
Based out of our Toronto office, you will be part of the Programmatic Partnerships & Business Solutions Team. As the Senior Data Analyst, you will provide quantitative analyses, market & industry expertise, and strategic recommendations to cross-functional teams within StackAdapt. You will articulate business questions, pulling numbers from multiple & large datasets to provide meaningful business insights and become a subject-matter expert on programmatic landscape and supply-side dynamics.
What You'll Be Doing:
- Design and implementation of automated, scalable reporting infrastructure and analytics solutions.
- Design and build data pipelines 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.
- Execute projects collaborating with internal stakeholders, providing insights and customized KPIs to support decision-making and strategic planning.
- Perform deep-dive analysis to understand trends, and anomalies, and provide actionable recommendations to stakeholders, define technical requirements for data processes, and design high-quality visualizations and reports.
- Partner closely with Inventory & Data Partnerships, Product Solutions, Platform Quality, Marketing, Engineering teams, etc and work cross-functionally on data analysis providing meaningful and strategic recommendations to teams.
What You'll Bring to the Table
- Strong knowledge and experience scripting with SQL and Python, extracting insights from large sets of data.
- Experience with Snowflake, BigQuery, Redshift, etc
- Experience with data visualization tools (Tableau, Qlik, Looker, etc).
- 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 2+ years of working experience in a quantitative or analytics-driven environment with solid understanding of statistical techniques.
- Strong verbal and written communication skills, comfortable presenting detailed technical and statistical analyses to senior stakeholders.
StackAdapter's Enjoy:
- Optional global WeWork membership for those who want a change from their home office
- Robust training and onboarding program
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- A friendly, welcoming, and supportive culture
- Our social and team events!
StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.
About StackAdapt
We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:
Ad Age Best Places to Work 2024
G2 Top Software and Top Marketing and Advertising Product for 2024
Campaign’s Best Places to Work 2023 for the UK
2024 Best Workplaces for Women and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
#LI-Remote
Top Skills
BigQuery
Looker
Python
Qlik
Redshift
Snowflake
SQL
Tableau
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