Senior Data Analyst

About finally

finally is one of America’s fastest-growing and most exciting fintech companies, focused on being the premier financial automation platform for SMBs. Our innovative product suite integrates Credit & Banking, Billing & Invoicing, Bookkeeping, and Taxes, all harmonized through cutting-edge artificial intelligence to aid Small to Medium-sized businesses. Finally aims to declutter financial operations, providing businesses with a seamless financial journey, allowing them to focus on what truly matters – their growth.

We’re headquartered in sunny South Florida and we raised $200 million dollars just in 2024 to bolster our growth, to innovate, and to continue to serve our customers. Our company has more than 250 individuals today across 3 offices. We’re proud to serve as the official corporate card and spend management platform for iconic sports franchises like the Florida Panthers, Miami Heat, and Chicago Bulls.

Experienced and impact-oriented Data Analysts with experience across diverse industries. Proven ability to transform complex datasets into actionable business insights. Strong blend of technical expertise (SQL, Snowflake, Tableau, DBT) and business acumen, especially in marketing attribution, stakeholder communication, and process efficiency.

This role is perfect for someone with strong analytical and technical skills, including proficiency in tools like SQL, Excel, Python or R, and data visualization platforms such as Power BI or Tableau. It's a great fit for individuals who enjoy problem-solving and have a deep curiosity about uncovering insights from data to inform business decisions. This position typically requires several years of hands-on experience in data analysis, reporting, and possibly mentoring junior team members. The ideal candidate also possesses solid business acumen and can effectively communicate findings to both technical and non-technical stakeholders. Strong collaboration, attention to detail, and the ability to think strategically are essential, as senior analysts often serve as a bridge between data teams and leadership, helping guide decisions with data-driven insights.

Success in a Senior Data Analyst role is measured by the ability to deliver clear, actionable insights that drive business impact. This means not only conducting accurate and thorough analyses but also translating complex data into meaningful narratives that influence decision-making. A successful senior analyst consistently identifies trends, uncovers opportunities or risks, and contributes to strategic planning. They proactively collaborate with cross-functional teams, anticipate data needs, and help shape data-driven culture within the organization. Additionally, success involves mentoring junior analysts, improving data processes, and contributing to the development of scalable reporting and analytical frameworks. Ultimately, a high-performing senior analyst helps the business make smarter, faster, and more informed decisions.

Core responsibilities:

• Build and Maintain Dashboards

• Perform Complex Data Analyses

• Translate Data into Business Insights

• Build & Maintain Data Models

• Collaborate with Cross-Functional Teams

• Automate Reporting & Analysis

• Define and Catalog Key Metrics

• Support Self-Service Analytics

• Ensure Data Accuracy and Integrity

• Contribute to Data Strategy & Best Practices

Requirements:

• 8+ years of experience in data analysis role.

• Must have hands-on data analysis experience within a fintech company or a closely related financial technology environment.

• Proficiency in SQL and experience with BI tools (e.g., Tableau, Looker Studio).

• Strong knowledge of Excel and scripting languages like Python.

• Excellent communication and data storytelling skills.
  Proven ability to work independently and manage multiple projects.

• Demonstrated experience collaborating with stakeholders to gather requirements, understand business objectives, and deliver impactful insights.

• Strong business acumen and problem-solving mindset.

• Bachelor’s degree in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, or equivalent experience.
  

Preferred Qualifications:

• Experience working with cloud data platforms (e.g., Snowflake, BigQuery, Redshift).

• Familiarity with A/B testing, statistical modeling, or predictive analytics.

• Experience in a fast-paced or high-growth environment.

Why Join Us?

• Work in a dynamic, fast-growing company with a $200M+ funding boost

• Learn from world-class leaders who have scaled businesses to new heights.

• Enjoy a competitive salary, stock options, and top-tier benefits, including health, vision, and dental insurance, paid time off, and more!

Benefits

• Health insurance

• Dental insurance

• Employee stock purchase plan

• Paid time off

• Paid training

• Vision insurance

Location: Full-time, in-office (M-F, 9:00 AM–6:00 PM) Eastern time