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

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