Data Analyst Business Intelligence
StackAdapt
Job Overview
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Job Description
About Data Analyst Business Intelligence at StackAdapt
StackAdapt is a leading technology company enabling marketers with AI-powered precision. The Business Intelligence team helps internal teams by providing data-driven analyses, market expertise, and strategic recommendations.
What You'll Be Doing
You will develop automated, scalable reporting and analytics solutions for the Programmatic Partnerships Team. Responsibilities include monitoring business metrics, analyzing campaign performance, troubleshooting issues, and identifying supply opportunities. You will also partner with various teams to drive internal efficiencies and support strategic initiatives.
What You'll Bring to the Table
- A Bachelor’s or Master’s degree in a quantitative field.
- Proven expertise in a quantitative or analytics-driven environment.
- Experience working with large datasets using SQL and Python.
- Familiarity with data visualization tools like Tableau, Qlik, or Google Data Studio.
- Excellent communication skills and the ability to present technical analyses to senior stakeholders.
- Programmatic advertising knowledge is a plus.
Compensation & Benefits
This role offers a competitive base salary for Ontario residents along with bonuses, equity awards, and a comprehensive benefits package including retirement plans, health care, work from home reimbursements, and more.
StackAdapt Culture & Diversity
StackAdapt is a remote first company with a diverse, inclusive, and supportive work environment. They value each individual and provide assistance during the interview process if needed.
Key skills/competency
- Data Analysis
- Reporting
- SQL
- Python
- Tableau
- Analytics
- Business Intelligence
- ETL
- Automation
- Programmatic Advertising
How to Get Hired at StackAdapt
- Customize your resume: Highlight data analytics projects and skills.
- Research StackAdapt: Understand its culture and recent achievements.
- Showcase technical skills: Demonstrate expertise in SQL and Python.
- Prepare case studies: Present examples of reporting solutions.
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