Data Analytics Internship - Coverwallet
Convenio de Prácticas (Estudiantes)
CoverWallet was founded in 2015 by entrepreneurs who saw the opportunity to reinvent the $100 billion small business insurance industry by using data, design, and technology. Today CoverWallet is the easiest way for businesses to understand, buy, and manage insurance online, and we have grown to more than 300 employees around the world. CoverWallet is one of the fastest-growing InsurTech companies and was named one of the promising startups for the CNBC Upstart 100 in 2018, won the 2017 Best Insurtech Solution from the Benzinga Awards and was named “One of the Most Entrepreneurial Companies in America” by Entrepreneur Magazine.
CoverWallet’ Business Intelligence & Data Analytics team is seeking a Data Analyst intern. As part of our team, you will help build robust analytical platforms to support data-driven initiatives across the company. In this role, you will assist in delivering strategic analyses on high priority initiatives across the entire organization. You will be working closely with teams across the entire organization (Product, Marketing, Sales, Operations), providing them with visibility of real-time data. You will be expected to deliver data-driven insights and to create meaningful business intelligence dashboards and reporting utilizing Looker to help drive our company.
You will receive a competitive salary and work in a highly collaborative environment. We are a fast-paced, growing start-up that is the perfect place for a goal-oriented, hardworking student looking to deal with real business problems and make a difference. We expect massive growth over the next few years, which means that strong performance will be rewarded with unique growth opportunities.
Let’s chat if you:
Are curious, passionate, and a hard-working student from a quantitative academic field.
Have SQL knowledge.
Have strong written and verbal communication skills in English.
Are a critical thinker and creative problem solver with strong analytical skills.
Feel comfortable working on multiple projects for different business areas and teams.
Feel comfortable working in a demanding and fast-paced environment.
Are excited to try and learn new things.
Have ‘can-do’ attitude, are self-disciplined, and can keep commitments.
Love technology as much as we do and can think outside of the box.
Bonus Round if you:
Have experience using visualization tools, preferably Looker, Tableau, or Power BI.
Have experience extracting and analyzing data.
Have had exposure to data modeling and transformation tools like dbt.
Have experience with data analysis and building data pipelines with Python or R.
Informática: No indicado
Idiomas: Inglés alto
Jornada de trabajo: Horario de Mañanas o tardes
Remuneración: A convenir