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About Vance
Vance is a groundbreaking global neobank focused on creating a seamless banking experience that goes beyond borders. We are supported by influential venture capitalists such as Hummingbird Ventures, Y Combinator, Global Founders Capital, Soma Capital, and are committed to making global banking as simple as booking an Uber. Fundamentally, we are developing a platform to be a one-stop solution for banking across borders, making it straightforward for customers to access banking and financial products in any country.
We're a diverse, vibrant team of 25, working with the vitality of a startup and the flexibility of a sports team. With innovation, hard work, and teamwork at our core, we're linking banking infrastructure around the world to build a unified, human-first experience for everyone, regardless of their location on the planet. Learn more about our work, our values, and our vision on our website, Vance.
We are looking for a highly analytical and detail-oriented Data Analyst to join our team. The perfect candidate will have a strong passion for data, an acute eye for identifying trends and patterns, and the ability to convert data into actionable insights. Key Responsibilities:
Data Collection and Analysis: Collect, clean, and analyze data from various sources.
Data Visualization: Develop informative reports and dashboards.
Data Interpretation: Transform complex data into actionable insights.
Reporting: Create regular and special reports.
Data Quality Assurance: Establish data quality assessments.
Collaboration: Cooperate with cross-functional teams.
Qualifications:
A Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a similar field. A Master's degree is preferred.
Proven experience in data analysis, data visualization, and data interpretation.
Competency in data analysis tools such as Excel, SQL, and data visualization tools (for example, Tableau, Power BI).
Strong analytical and problem-solving skills, with the capability to think critically and strategically.
Excellent communication skills with the ability to explain complex findings to non-technical stakeholders.
Attention to detail and a commitment to data accuracy.
Experience with programming languages (for example, Python, R) is an advantage.
Familiarity with data warehousing and ETL processes is a bonus.
