Data Analytics Intern

We’re looking for a sharp, curious, and proactive Data Analytics Intern to play an important role in building and scaling the engine behind our fast-growing sales team. You will help develop and maintain dashboards, play a critical role in the reporting and calculation of sales commissions and work cross-functionally with sales, marketing and our customer success team.  

Qualifications: 

• Working towards orholdaBachelor's degree in engineering, Statistics, Computer Science, Business, ora relatedfield.
• Good Excel knowledge
• Willingness to learn and work with Salesforce or other CRM platforms.
• Strong SQL skills, with the ability to write complex queries.
• Foundational knowledge of SQL or willingness to learn database querying.
• Strong analytical skills anda keenattention to detail.
• Ability to work independently and as part of a team in a fast-paced environment.
• Willingness to tackle challenges and learn from feedback.

Preferred Qualifications: 

• Some exposure toRevOps, sales, or marketing analytics (e.g., through coursework or internships).
• Interestin learning other data visualization tools.
• Basic understanding of Python for data analysis.

What We Offer: 

• A collaborative and inclusive work environment.
• Opportunities for professional growth and development.
• Competitive salary and benefits package.
• Flexibility and work-life balance.

Key Responsibilities: 

1. Data Analysis & Reporting:
   • Assistin collecting and reviewing data from various sources to support theRevOpsteam.
   • Support the development and maintenance of dashboards in Power BI or other visualization tools, with guidance from senior team members.
2. Sales Commission Management: 
   • Help with the calculation and reporting of sales commissions as part of the team’s monthly workflow.
   • Work closely with the sales team to understand commission structures and resolve any discrepancies.
3. CRM Data Management:
   • Support data extraction and basic management using Salesforce
   • Help check and update data for accuracy and completeness with supervision.
4. SQL Database Management:
   • Write,optimize, andmaintainSQL queries to manage and analyze large datasets.

• Assist IT and data engineeringteams inintegrating data sources when needed.

1. Cross-Functional Collaboration:
   • Work with sales, marketing, and customer success teams to understand their data needs.
   • Share findings with team members and stakeholders with support from your manager.
2. Continuous Improvement:
   • Contribute ideas to enhance data collection and analysis processes.
   • Stay updated on industry trends and advancements in data analytics tools and methodologies.