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Circle.so

Finance Data Analyst

Reposted 5 Days Ago
Easy Apply
Remote
Hiring Remotely in USA
100K-140K Annually
Mid level
Easy Apply
Remote
Hiring Remotely in USA
100K-140K Annually
Mid level
The Finance Data Analyst will create SQL pipelines, maintain financial datasets, build automated dashboards, and support finance decision-making. This role blends data engineering and analysis for effective financial strategies.
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About Us

Circle is building the world’s leading all-in-one platform for online communities. We make it possible for creators, coaches, educators, and businesses to bring together their audience with engaging discussions, live streams, events, chat, courses, and payments — all in one place, all under their own brand.

We’re proud to be a fully remote company of around 200 (and growing!) team members from 30+ countries around the world. We seek exceptional individuals around the world, set them up to do the best work of their lives, and in turn, create a meaningful impact in their own lives. We don't track hours, but we do manage for high expectations very closely. We collaborate across time zones, are highly async, and like to document a lot.

Twice a year, we bring the whole company together in beautiful places around the world for our company offsites. So far, we’ve hosted offsites in Turkey, Portugal, Mexico, Thailand, Colombia, Italy, Ireland, and more, with still more to come!

Check out our Careers page for more about working at Circle.

About the role

We are looking for a Finance Data Analyst to join our growing Finance team at Circle. The Finance team leverages operational and financial data to shape the strategy and maximize the growth and profitability of the business.

This is a hybrid Finance & Data role reporting to the FP&A lead. As Circle scales to $100M+ ARR, we’re investing in a dedicated bridge between Finance and Data to unify our financial data stack and enable faster, more automated decision-making. Initially, we expect this role to be more heavily weighted to data modeling and engineering (70%) than analysis (30%), but as we build out the Finance data stack, we expect the role to transition to 50% supporting analysis, forecasting, and decision-making.

This role will be instrumental in transforming and modeling our finance data warehouse which will support forecasting and budgeting, strategic decision support, and AI initiatives.

This is an opportunity to work in a high-impact role, blending technical skills with business acumen in a fast-growing SaaS business.

What you’ll be doing
  • Creating SQL pipelines to transform and model data in preparation for analysis and reporting
  • Building and maintaining precise, auditable financial datasets such as ARR, Customer Profitability, etc.
  • Building automated dashboards and reports
  • Supporting the Finance & Ops teams with actionable analysis to guide decision making
  • Developing data apps to automate and augment processes like Sales Compensation, Salary Benchmarking, and Comparable Company Analysis
  • Implementing AI-powered workflows to automate financial reporting and analysis
What you’ll need to be successful
  • Strong alignment with our values. Find our values on our career page if you haven’t read up on them yet.
  • You are proficient in English (spoken, written, and reading) at a CEFR Level C2 / ILR Level 5.
  • Coachable, honest, accountable, and a self-starter.
  • Insatiable curiosity with a desire to leverage data to better understand how the business operates.
  • Strong business acumen with a proven ability to think strategically and analytically.
  • Advanced SQL and data skills (CTEs, window functions, data modeling, etc.)
  • Ability to build production-grade data transformation pipelines (using tools like dbt or SQLMesh)
  • 2-5 years of experience in data, statistics, or a related analytical field.
  • Extensive experience working with BI tools such as Hex (what we use), Looker, Tableau, or Power BI.
  • Experience with Python (or a willingness to learn).
  • Strong communication skills and ability to work cross-functionally with different teams.
Bonus points
  • Experience in a high-growth tech environment (SaaS, Marketplace, Fintech, etc.)
  • Experience developing ML pipelines for predictive analytics (scikit-learn, TensorFlow, etc.)
  • Experience implementing AI-powered tools and workflows to automate reporting and analysis
  • Experience in FP&A or Strategic Finance
$100,000 - $140,000 USD per year

The cash compensation range shown is a starting point. In addition to equity, benefits and perks, your cash compensation is subject to an annual review and increase on a once per year basis.

The fun stuff
  • Fully remote: work from anywhere in the world!
  • Autonomy and trust to do your job: we care about outcomes over everything else.
  • Paid time away: all employees are given 35 days of PTO annually. We also offer a paid sabbatical after 5 years.
  • Generous U.S. benchmarked compensation and startup equity no matter where you are in the world.*
  • Awesome medical coverage with 100% coverage for you and your family, or medical reimbursement options where applicable!*
  • Parental leave for parents expanding their family, or just starting one.
  • Home office stipend to help you get up and running.
  • Learning & development stipend to help you level up your professional skills.
  • Annual bonus potential for roles that don't already receive variable income or commission.
  • Company retreats: Twice a year, the Circle team gets together for a fully paid company retreat in incredible places around the world! We’ve had past retreats in Colombia, Portugal, and Mexico, with more planned on the horizon.
  • Check out our Careers page for more.

*Your role, location and unique circumstance may affect this.

Diversity, Equity & Inclusion

As a fully-remote international company, diversity is baked into our DNA. Here’s how our CEO, Sid Yadav, frames our hiring mission: “let’s find talent in underserved and under-represented corners of the world, set them up to do the best work of their lives, and in turn, change their life.” To achieve this hiring mission, we offer competitive U.S. benchmarked compensation no matter where someone’s located in the world, and we proactively seek candidates who expand representation of backgrounds, cultures and lived experiences in our teams.

Equal Employment Opportunity

Circle is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws. If you require any accommodations during the recruitment process, please let us know and we will work with you to meet your needs.

How We Use Candidate Data

At Circle, we are committed to protecting your personal information. As a job applicant, the personal data you provide to us is collected and processed in accordance with the General Data Protection Regulation (GDPR) in the EU and the California Consumer Privacy Act (CCPA). This notice outlines the types of personal information we collect, the purpose for collecting it, and your rights.

Information We Collect: We collect the following categories of personal information from job applicants:

  • Contact information (such as name, email address, phone number)
  • Employment history and qualifications
  • Education history
  • References and any other information you choose to share with us during the application process

Purpose of Collection: We collect this information for the following purposes:

  • To assess your qualifications and suitability for the position
  • To communicate with you during the recruitment process
  • To comply with legal and regulatory obligations

Your Rights Under GDPR and CCPA: You have the following rights regarding your personal information:

  • The right to request access to the personal information we hold about you.
  • The right to request the deletion of your personal information, subject to certain legal exceptions.
  • The right to opt out of the sale of your personal information (Note: We do not sell personal information).

For more information about how we handle your personal data or to exercise your rights, please refer to our full Privacy Policy.

By submitting your application, you acknowledge that you have read and understood this privacy notice.

Top Skills

Bi Tools (Hex
Dbt
Looker
Power Bi)
Python
SQL
Tableau

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