Data Analyst

What’s the Work Like?

We are a fast-growing SaaS company building cloud-based enterprise software used by over 15,000 businesses worldwide—including NASA, Amazon, 3M, and Disney. Data plays a central role in all areas of our organization—from operations and sales to customer success and HR.

As a Data Analyst, you will:

• Support multiple teams by providing meaningful data analysis and insights
• Use data to solve business challenges and answer key questions
• Contribute to strategic decision-making by uncovering patterns, trends, and opportunities
• Improve reporting, tracking, and performance metrics across business units

Key Responsibilities

• Data Analysis & Reporting: Collect, clean, and analyze data from various sources. Build dashboards and reports to track performance, KPIs, and trends.
• Business Insights: Work closely with different teams to understand their data needs and deliver actionable insights.
• Problem Solving: Translate business problems into analytical questions, identify relevant datasets, and deliver solutions based on data findings.
• Cross-functional Collaboration: Partner with stakeholders across departments to support data-driven decision-making.
• Data Visualization: Present insights in a clear, concise, and visually compelling way using tools like Excel, Google Sheets, or BI platforms.
• Process Improvement: Identify gaps or inefficiencies in current reporting and recommend improvements or automation strategies.
• Data Integration: Merge and prepare data from different systems to build unified and consistent analysis.
• Ad Hoc Analysis: Provide support on one-off or short-term projects and data needs as they arise.

Requirements

• 4+ years of experience in a data analysis or business intelligence role
• Strong proficiency in Excel or Google Sheets for advanced analysis
• Experience with dashboard tools (e.g., Power BI, Tableau, Google Data Studio)
• Understanding of business operations and financial metrics
• Ability to translate complex data into simple and impactful insights
• Strong attention to detail and a passion for accuracy and data quality
• Bachelor’s degree in Business, Finance, Computer Science, Data Analytics, or a related field
• Familiarity with tools like SQL, Python (basic level), or Google Analytics is a plus