Overview
We are looking for a proactive and detail-oriented Data Analytics Intern to join our team. You will assist in extracting insights from data, supporting data-driven decision making across our products, and helping to develop dashboards and analytical tools.
As part of this role, you will contribute to data collection, analysis, visualization, and interpretation. You will collaborate with cross-functional teams to translate business questions into data-driven insights and your work will directly influence strategy, features, and operations. The internship offers hands-on experience in real-world data projects, exposure to modern analytics tooling, and growth in your analytical, technical, and communication skills.
Additionally, you will engage in continuous research and evaluation of emerging AI tools to enhance productivity, staying abreast of the latest technological advancements. This proactive approach ensures our team remains at the forefront of innovation, integrating cutting-edge solutions into our workflows.
This internship is open to all, irrespective of age or prior experience. It is available to students, career changers, professionals, and lifelong learners interested in gaining hands-on experience.
Key Responsibilities
- Collect, interpret, and analyze data from multiple sources
- Build dashboards, visualizations, and reports to communicate insights
- Perform A/B testing
- Integrate analytics pipelines, instrumentation, and metrics
- Stay up-to-date with best practices, tools, and methodologies in data analytics
- Contribute to internal documentation and processes
Qualifications & Skills
- Interest in Data Science, Statistics, Data Analysis, or a related field
- Experience with data visualization tools is a plus
- Familiarity with CRMs (e.g., Hubspot, Notion, or similar) is a plus
- Ability to work effectively in a team environment, fostering collaboration and accountability
- Strong problem-solving skills, critical thinking, and attention to detail
Why Join Us?
- Fully remote & flexible schedule – work from anywhere, full-time (up to 40 hours/week) or part-time (minimum 8–10 hours/week)
- Hands-on, impactful work – engage with real data and projects that influence product direction and company strategy
- Career-advancing experience – gain valuable, practical skills in analytics, business intelligence, and applied AI that will strengthen your resume and set you apart in your career path
- Mentorship & learning – guidance from experienced professionals and opportunities to grow your data skills