[Hiring] Data Analyst @Celigo

Role Description

Celigo is looking for a Data Analyst to serve as the analytical engine behind smarter, faster decision-making across the business. You will own the full lifecycle of insight delivery — from translating ambiguous business questions into structured frameworks, to building the dashboards and self-serve reporting that give stakeholders real-time visibility into business performance.

• Own and develop dashboards, reports, and self-serve analytics that give stakeholders timely, accurate visibility into business performance.
• Conduct deep-dive analyses across key business areas — including revenue, product usage, customer behavior, and operational efficiency — to surface actionable insights.
• Partner with Analytics/Data Engineering to define metrics, validate data quality, and ensure analytical outputs are built on a reliable, well-modeled foundation.
• Help establish consistent metric definitions, reporting standards, and documentation practices that can scale as the analytics function grows.
• Translate ambiguous business questions into structured analytical frameworks, and communicate findings clearly to both technical and non-technical audiences.
• Leverage AI-assisted tools to accelerate analysis, automate recurring reporting workflows, and improve the efficiency of the analytics development cycle.
• Proactively identify trends, anomalies, and opportunities in the data and bring them forward without waiting to be asked.
• Collaborate cross-functionally to support data-driven decision-making across the organization.

Qualifications

• Strong analytical instincts — comfortable forming hypotheses, stress-testing assumptions, and telling a clear story with data.
• Highly proficient in SQL, with the ability to write complex queries across large datasets in a cloud data warehouse environment (Snowflake preferred).
• Experience with BI tools such as Sigma, Looker, Tableau, Power BI, or similar for building and maintaining dashboards and self-serve reporting.
• Familiar with using AI tools (e.g., Claude, ChatGPT, Copilot, or similar) to accelerate analysis, generate code, and automate repetitive workflows.
• Excellent communication skills — able to translate data findings into concise, actionable narratives for business stakeholders at all levels.
• Self-starter who thrives in unstructured environments and takes initiative to define processes where none yet exist.

Requirements

• Degree in Data Analytics, Statistics, Economics, Business, Computer Science, or a related field.
• 2–5 years of experience in a data analyst or business intelligence role, preferably in a fast-paced SaaS environment.
• Advanced proficiency in SQL; experience with Python or R for analysis is a plus.
• Hands-on experience with Snowflake or a comparable cloud data warehouse.
• Demonstrated ability to build and maintain dashboards and reporting frameworks used by business stakeholders.
• Experience working with go-to-market, finance, or product data is a strong plus.
• Familiarity with DBT or similar data modeling tools is a bonus.

Benefits

• Three weeks of vacation (starting year one)
• Wellness days and holidays to recharge
• Parental leave and a generous benefits package
• Monthly tech stipend
• Recognition and career development opportunities