Data Analyst, Business Intelligence

About the Role

The role is part of the data team and will report to the Head of Data. As a key member of the team, you will be responsible for building the intelligence layer on top of the data infrastructure, including dashboards, metrics definitions, reporting cadences, and frameworks that turn clean data into business clarity. Your work will have a direct impact on the company's growth and success.

Float is a customer-obsessed, passionate, and entrepreneurial company with a team that includes leaders from top tech companies. The company is committed to creating a culture based on feedback, where every team member has a voice and is encouraged to share their unique perspective.

What You Will Do

• Design, build, and maintain Float's core dashboards and reporting infrastructure
• Develop and govern metrics definitions, reporting cadences, and frameworks that turn clean data into business clarity
• Partner with cross-functional teams to identify and prioritize business questions and develop data products to answer them
• Work closely with the Analytics Engineer to translate business questions into durable data products
• Build and maintain relationships with key stakeholders, including Finance, RevOps, GTM, Sales, and the Chief of Staff
• Develop and implement data quality checks to ensure the accuracy and reliability of the data
• Create and maintain documentation of the data infrastructure, including data sources, processing, and storage
• Stay up-to-date with industry trends and emerging technologies in data analytics and business intelligence
• Collaborate with the data team to develop and implement new data products and tools

What We Are Looking For

• 3+ years of experience in data analysis, business intelligence, or a related field
• Strong understanding of data visualization tools, such as Tableau, Power BI, or D3.js
• Experience with data modeling, data warehousing, and ETL processes
• Strong analytical and problem-solving skills, with the ability to work with large datasets
• Excellent communication and interpersonal skills, with the ability to work with cross-functional teams
• Experience with SQL and data querying languages
• Strong understanding of statistical concepts and data analysis techniques
• Experience with cloud-based data platforms, such as AWS or GCP

Nice to Have

• Experience with machine learning or artificial intelligence
• Knowledge of programming languages, such as Python or R
• Experience with data governance and data quality practices
• Certification in data analysis or business intelligence, such as Certified Data Analyst or Certified Business Intelligence Analyst

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work with a fast-growing and innovative company
• Collaborative and dynamic work environment
• Professional development opportunities, including training and education programs
• Flexible work arrangements, including remote work options
• Access to the latest tools and technologies in data analytics and business intelligence
• Recognition and reward programs for outstanding performance

• Highlight your experience with data visualization tools and your ability to communicate complex data insights to non-technical stakeholders.
• Be prepared to discuss your approach to data quality and data governance, and how you ensure the accuracy and reliability of the data.
• Show examples of your work, including dashboards and reports you have developed, and explain the business problems they were designed to solve.
• Demonstrate your understanding of statistical concepts and data analysis techniques, and be prepared to apply them to real-world business scenarios.
• Research the company's products and services, and be prepared to discuss how you can contribute to the company's mission and goals.
• Prepare to discuss your experience with cross-functional teams, and how you can build relationships with key stakeholders to drive business growth.