Compensation: TBD, based on education, experience, role fit, startup needs, and interview process.
Job summary
As a Data Analyst Intern, you will support one or more startups connected to Metasoft Capital by helping founders turn early ambition into practical execution. This role is built for remote startup environments where priorities can change quickly, information may be incomplete, and useful work depends on clear writing, steady ownership, and good judgment.
The role focuses on data cleanup, basic reporting, dashboard support, trend analysis, and analytical learning. You may work with founders, product teams, technical teams, operations, customers, partners, or investors depending on the startup assignment. The goal is to help the company create practical entry pathways for students, recent graduates, career switchers, apprentices, and high-potential builders, while building habits that make the team more reliable as it grows.
Core responsibilities
- Own the day-to-day work connected to data cleanup, basic reporting, dashboard support, trend analysis, and analytical learning, keeping priorities clear and progress visible.
- Work closely with founders, managers, product, technology, operations, and customer-facing teams as needed.
- Create clear notes, decisions, requirements, checklists, or reports so work does not depend on memory or guesswork.
- Support assigned projects while learning startup tools, workflows, communication norms, and quality standards.
- Use practical judgment to balance speed, quality, cost, risk, and learning in a startup environment.
- Support real startup work while learning how products, customers, operations, marketing, data, design, or business functions fit together.
- Ask good questions, take notes, complete assigned tasks, communicate blockers, and improve through feedback.
- Help with research, documentation, testing, analysis, content, support, operations, design, coding, or coordination depending on the role.
- Build professional habits around deadlines, remote communication, accountability, learning, and respectful teamwork.
- Turn messy information into clear analysis, written findings, dashboards, recommendations, or experiments that help the startup make better decisions.
- Question assumptions, check data quality, and explain uncertainty honestly instead of presenting weak evidence as certainty.
- Take ownership of assigned work, ask for clarification early, and show learning progress through notes, examples, and completed tasks.
Education and experience requirements
- This category may be suitable for students, recent graduates, career switchers, apprentices, trainees, fellows, volunteers, or self-taught learners.
- Formal experience may not be required for some roles, but curiosity, reliability, communication, and willingness to learn are essential.
- Relevant coursework, personal projects, volunteer work, community projects, internships, portfolios, or open-source contributions may be helpful.
- Ability to follow instructions, document work, ask for clarification, and improve after feedback is important.
- Applicants should be honest about current skill level and clear about what they want to learn.
- Candidates should be ready to share examples of relevant work, projects, portfolios, case studies, writing samples, code samples, dashboards, campaigns, processes, or other evidence of ability when applicable.
Helpful skills and tools
- Documents, spreadsheets, project tools, communication platforms, learning resources, role-specific software, task trackers, and portfolio-building tools.
- Student, recent graduate, career switcher, apprentice, or early-career candidate with strong curiosity and work ethic.
- Clear communication, reliability, willingness to learn, and ability to accept feedback quickly.
- Strong ownership mindset, reliability in remote work, and comfort working with incomplete information.
- Ability to communicate progress, blockers, and tradeoffs in a simple way for both technical and non-technical teammates.
- Curiosity, humility, and willingness to keep learning as the startup changes direction or grows.
- Clear written communication, organized files, practical documentation, and reliable follow-through are important because most teams operate remotely.
Remote startup working style
- Work asynchronously when possible, document decisions, and keep teammates updated on progress, blockers, risks, and next steps.
- Be comfortable with early-stage ambiguity, changing priorities, limited resources, and the need to learn quickly from customers and teammates.
- Use sound judgment to decide when to move fast, when to ask for help, when to slow down, and when to protect quality or trust.
- Respect confidentiality, founder context, customer information, and the trust required to support early-stage companies.
Success in this role looks like
- Reliable project support, visible learning progress, strong mentor feedback, useful contributions, and readiness for larger responsibilities.
- The candidate learns quickly, contributes useful work, and becomes more confident in a real startup environment.
- The team receives reliable support without needing to chase every detail.
- Early talent develops professional habits that can lead to larger responsibilities over time.
- The startup team can point to clearer execution, better documentation, stronger collaboration, and practical improvements connected to this role.
How to apply
- Email your resume/CV to Jobs@MetasoftCapital.com and include JID: 9334739 in the email subject line and at the beginning of your message.
- Use a subject line similar to: JID: 9334739 - Data Analyst Intern - Resume/CV.
- Briefly explain why this role, a remote startup environment, and the relevant industry or function fit your experience, interests, and learning goals.
- If useful for the role, include links to your portfolio, GitHub, LinkedIn, website, writing samples, case studies, dashboards, design files, campaigns, or other work examples.