Role overview
We are a diverse team that takes pride in understanding the perspectives of others. We fully embrace working remotely and we are eager to act, improve and accelerate progress inside and outside of our organization.
To drive revolutionary changes in society and make crypto useful, we delight our customers with world-class products, deep care, and intentional empathy.
Are you an experienced professional passionate about leveraging data to shape strategies, drive impactful insights, and lead transformative decision-making? Do you excel in a collaborative environment where your expertise is recognized and your leadership can spark change? If so, we invite you to join our team as a Senior Business Intelligence Specialist!
What you'll work on
- 5+ years of experience in Business Intelligence, data analysis, or a related field, with a proven track record of leading high-impact projects.
- Degree in Administration, Actuarial Sciences, Economics, Computer Science, or a related field. Advanced degrees (e.g., Masterâs) are a plus.
- Expertise in SQL, with a strong ability to optimize queries and work with complex datasets.
- Advanced skills in data storytelling, visualization, and exploration, enabling you to present insights that drive strategic decisions.
- Exceptional communication and collaboration skills, with the ability to influence stakeholders at all levels of the organization.
- Extensive experience designing and developing dashboards, KPIs, and reporting tools tailored to diverse business needs.
- Proven experience working with Looker or similar BI tools (e.g., Tableau, Power BI), with the ability to build scalable and insightful analytics solutions.
- Have experience with tools and technologies such as Git, R, Python, and/or Databricks.
- Fluency in English and Spanish, both written and spoken.
What we're looking for
- Have extensive experience with Looker (LookML), including creating scalable and efficient data models.
- Possess expertise in advanced analytics techniques, such as predictive modeling or machine learning.
- Are skilled in causal analysis and experimentation (e.g., A/B testing).