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.
