Data Analyst

Responsibilities

• Define and track key performance indicators (KPIs) for both the product and the business.
• Build and maintain dashboards and reports that provide visibility into these metrics for stakeholders.
• Perform exploratory data analysis to answer specific questions.
• Analyze customer usage patterns and feedback data to help identify where customers might be struggling.
• Work with the marketing team to analyze the effectiveness of campaigns and channels.
• Provide data-driven insights to support strategic decisions.
• Ensure data accuracy and integrity by working with engineering to log the right events and by routinely checking for anomalies or inconsistencies in the data.

Requirements

• 3+ years of experience in data analytics, business intelligence, or a related role.
• Proficiency in SQL for querying databases and extracting data; experience with data analysis in Python or R is a plus.
• Familiarity with data visualization and BI tools (such as Tableau, Power BI, Looker, or even building dashboards using Python libraries).
• Strong analytical thinking and statistical knowledge – able to interpret data trends, conduct basic statistical analyses, and avoid common pitfalls/misinterpretations.
• Experience working with SaaS or product usage data is helpful (understanding concepts like user cohorts, funnel analysis, churn, etc.).
• Ability to communicate insights clearly, both in writing (documentation, reports) and verbally (presenting findings to the team), tailoring the depth of detail to the audience.
• Curiosity and a problem-solving attitude – you love digging into data to uncover the story it’s telling, and you’re proactive in seeking out new analyses that can benefit the company.