About LEIA

LEIA is a startup based in Stockholm with the vision to reinvent maternal and postpartum health for the digital age. Helping the next 140 million women on a happier and healthier entry into motherhood.

Our postpartum health tracker offers new mothers all information they need in one place, personalized insights into their mental and physical health and recovery plans based on their birth  experience. With screening models for postpartum depression and pelvic floor complications, LEIA identifies women at risk already before their appointment with the midwife.

About the internship as Data Analyst 

Join us at LEIA as a Data Analyst Intern within our product development team. Our team is dedicated to creating innovative features for our health app, experimenting with user experience, conducting A/B testing, and developing new functionality for future initiatives. 

As a Data Analyst Intern at LEIA Health, you will gain hands-on experience in transforming data into actionable insights that support decision-making and drive product development. You will collaborate with various teams, including Product, and Engineering, to analyze data, identify trends, and contribute to data-driven recommendations.

What You'll Learn and Contribute

As a Data Analyst Intern, you will immerse yourself in our data-driven practices, learning from experienced colleagues while contributing your insights. You’ll work closely with team members, gaining exposure to agile development processes, continuous learning, and the establishment of best practices.

Your responsibilities will include:

• Data Analysis and Reporting: Analyzing large datasets to uncover meaningful insights and trends, and assisting in the presentation of these findings through reports and dashboards.

• Supporting Product Development: Providing data-driven insights that support product development, user experience enhancements, and feature prioritization.

• A/B Testing: Assisting in the design and analysis of A/B tests to evaluate the impact of new features and changes.

• Collaboration: Working alongside cross-functional teams to understand their data needs and provide analytical support.

• Data Quality and Management: Helping to ensure data integrity, accuracy, and consistency across all data sources and reporting tools.

  
  

What You’ll Bring

• Passion for Data Analysis: A strong interest in data, statistical methods, and data visualization.

• Technical Curiosity: Familiarity with SQL, data warehousing solutions, and data visualization tools like Mixpanel, Looker or Power BI is a plus.

• Programming Enthusiasm: Basic knowledge of programming languages such as Python or R for data manipulation and analysis is advantageous.

• Interest in A/B Testing: A willingness to learn how to design, execute, and analyze A/B tests.

• Business Curiosity: An interest in understanding business processes and how data can drive actionable business insights.

• Communication Skills: Strong communication skills with a desire to learn how to present data insights to non-technical stakeholders.

• Problem-Solving Aptitude: An eagerness to develop problem-solving skills and a proactive approach to identifying and addressing data-related challenges.

  
  

Educational Background

• Currently pursuing a Bachelor’s degree in a relevant field such as Data Science, Statistics, Computer Science, Economics, or a related discipline.

  
  

What We Offer

• Learning Experience: An opportunity to learn and grow in a supportive environment while contributing to a mission-driven organization.

• Mentorship: Guidance and mentorship from experienced professionals in data analysis and product development.

• Global Exposure: Experience in a global tech startup, with opportunities to build your network within the startup community at Norrsken House in Stockholm.

• Professional Growth: Opportunities to expand your skills and gain experience in a fast-paced, innovative environment.

• Inclusive Workplace: A commitment to creating an inspiring workplace where everyone is valued and respected.

  
  

Start date: As soon as possible.

End date: It depends on your studies or LEIA. Ideally 3-6 months.

Compensation: This is an unpaid internship. 

Location: We can offer both hybrid and remote.