Requirements
- Junior or senior standing
- Computer Science, Data Science, Management Information Systems, Mathematics, or related major
- Or Knacktive faculty member approval
Characteristics of a great Data Analyst
- Curious and interested in knowledge discovery Strong analytical and critical thinking skills
- Understands how data supports informed marketing strategy and business decision-making
- Ability to use tools to identify trends and patterns from complex datasets
- Communicates data-driven insights clearly to both technical and non-technical teammates
- Respect for, and good chemistry with, team members
- Passion for using data to solve real-world business problems
- Ability to present findings in a compelling, honest, and actionable manner
- Willingness to continuously learn new analytics tools, technologies, and methodologies
Necessary Skills
- Technical skills:
- Proficiency with Microsoft Excel or Google Sheets for data analysis
- Experience with data visualization tools (Power BI, Tableau, or Looker Studio preferred)
- Basic knowledge of SQL for querying data
- Experience working with Google Analytics, social media analytics, or similar reporting platforms is a plus
- Basic understanding of Python or R for data analysis is a plus
- Strong analytical and problem-solving abilities
- Detail-oriented and organized
- Ability to translate data into meaningful business recommendations
- Curiosity and willingness to research new analytical tools and techniques
Team Duties
- Collects, organizes, and analyzes data from multiple sources to support client projects
- Develops dashboards and reports that communicate key performance indicators (KPIs) and campaign results
- Provides data-driven recommendations that support marketing strategies and business decisions
- Identifies trends, customer behaviors, and opportunities for improvement through data analysis
- Ensures the accuracy, consistency, and integrity of client data and reporting
- Collaborates with the creative, digital, and strategy teams to measure the success of campaigns and recommend optimizations
