Role Overview
Celigo is hiring a entry-level Data Analyst. This is a full-time role in US. Part of Celigo's Lifecycle hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Integration meets Innovation
At Celigo, we believe integration should empower — not exhaust — innovation. As a modern Integration and Automation Platform (iPaaS), we’re on a mission to simplify how companies integrate, automate, and optimize processes. Powered by game-changing technology like runtime AI and prebuilt, mission-critical integrations, Celigo is redefining how businesses connect their world.
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. Partnering closely with Data Engineering, you will drive deep-dive analyses across revenue, product, customer, and operations — proactively surfacing trends and opportunities rather than waiting to be asked. You'll establish metric definitions and reporting standards that scale with the function, leverage AI tools to eliminate manual toil, and communicate findings with clarity and confidence to audiences at every level of the organization.
What would you do if hired?
- 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.
Who are we looking for?
Skills & Abilities
- 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.
Education & Experience
- 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.
Celigo reasonably expects to pay a base salary between $75,000 and $115,000 per year for this position. Actual starting base pay will be determined by skills, experience, geographic location, and other non-discriminatory factors permitted by law. Total compensation may also include variable incentives, benefits, or other perks as outlined in any formal employment offer made.
Celigo is proud to be
- A 2025 Gartner Customers’ Choice for iPaaS. The only vendor to receive this award.
- Celigo is a Visionary in the Gartner Magic Quadrant for iPaaS for the second consecutive year
- Celigo is ranked #1 iPaaS on G2 for multiple quarters and named a Leader in both B2B/EDI and API Management.
- Celigo is a leading intelligent automation platform that puts the power of automation in the hands of every team, unifying workflows from the predictable to the fully agentic in a single platform.
Here you'll experience
- Remote-first culture, built on trust, collaboration, and transparency
- A high-growth, inclusive work environment where innovation thrives and ideas are implemented
- Lightspeed learning opportunities to keep you at the leading edge of your field
- Exceptional coworkers who challenge and inspire you daily
- Competitive compensation and benefits, including:
- 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
Diversity, Equity, Inclusion, and Accessibility
As a company, one of the values we hold most dear is fostering a safe, collaborative environment to bring out the best in us, so we created our Taking a Stand Initiative. Our TAS initiative is a volunteer committee open to all Celigans, with representation from underrepresented voices within our company. We believe, unequivocally, that everyone deserves to be in a place where they feel welcome as they are. Learn more about Taking a Stand.
Celigo is proud to be an equal-opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, national origin, religion, creed, age, disability, sex, gender, sexual orientation, gender identity, gender expression, medical condition, genetic information, marital status, military and veteran status, or any other characteristic protected by applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Frequently Asked Questions
How do I apply for the Data Analyst position at Celigo?
Use the Apply button above to submit your application directly to Celigo. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Data Analyst position at Celigo located?
This position is based in US. Celigo has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Data Analyst at Celigo earn?
Celigo has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Data Analyst role at Celigo posted?
This role was posted on May 5, 2026 (46 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
Is the Data Analyst role at Celigo entry-level?
Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements Celigo has listed.
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