🙌🏼 What you will be doing
We are a well-established Data Team within the organization, having evolved from our initial focus on data integration, sustainable descriptive analytics, and A/B testing to now encompass predictive and prescriptive analytics fully. In your role as Senior Analyst, you will collaborate closely with the Product, Design, and Engineering Teams to inform high-impact decisions regarding future product development with data. Your work will span across various product areas such as End-User, Partners, Business Operations (including Anti Money Laundering (KYC, KYT, Name Screening), Fraud prevention rule sets, Treasury), and influence Ramp’s business KPIs directly.
🧩What you will be working on
Analysing transactional data (crypto transactions), KYC, and AML data; utilising event-based analytics with tools like Amplitude; and leveraging data from customer support, feedback apps, and more.
Developing and maintaining modular data infrastructure, with a focus on dbt (data build tool), BigQuery, and visualisation (experience with any BI tool is a must, at the moment we are using Tableau).
Conducting thorough data analysis to generate actionable insights, making recommendations for product improvement, development, and launch strategies.
Owning a descriptive analytics platform for internal reporting and responding to investors, support, operational, financial, legal, and regulatory requests.
Developing and automating reporting for key performance indicators across various Ramp’s products and services, addressing business priorities.
Partnering with product managers on designing experiments for hypothesis testing, supporting in idea generation and refinement.
Advocating for data best practices in collaboration with data engineers.
Identifying and creatively solving key business challenges through data analytics, in partnership with key stakeholders.
Communicating findings and insights to stakeholders effectively.
Contributing to data quality & security best practices.
⚙️Our tech stack:
Google Cloud Platform, BigQuery, dbt (Data Build Tool)
Amplitude
Tableau (or similar BI tools like PowerBI, Looker)
Github
Other tools we are using: Figma, Figjam, VS Code
🤟What you will bring:
At least 3 years of experience in an analytical role with a strong business acumen and client-focused approach.
Expertise in data visualisation and data modelling; forecasting, and machine learning algorithms is a plus.
High proficiency in SQL and data visualisation tools like Tableau, PowerBI, or Looker.
Demonstrated leadership abilities, including task delegation and managing workloads.
Excellent communication skills, capable of presenting complex data sets and insights to both technical and non-technical audiences.
A growth mindset, positive attitude, and the ability to work under pressure and tight deadlines.
Proven ability to act as a Trusted Advisor within Product and Functional Teams, with a strong focus on proactive problem-solving and continuous improvement.
Experience in discovering new data sources, developing new data models, and making recommendations to stakeholders.
An advocate for change and new methodologies that enhance team productivity.
Commitment to personal development and staying up to date with emerging trends and technologies in the field.
Being friendly and professional; excited by the possibilities of working on the intersection of FinTech and blockchain (no blockchain experience required)
🪄What’s in it for you? 💸 Competitive salary
Equity package: share in our success
Zero-fee crypto purchases via on-ramp!
🩺 Health & wellbeing
26+ days paid time-off
Health & Sports benefits for you and your loved ones
Dedicated time off for yearly health check-ups
🧠 Development & Growth
Self-development and conference budget
Language lessons
Internal workshops and activities supporting growth and mental health
🏢 Great working environment and socials
Modern and comfy offices in Warsaw and Wroclaw, which has everything you’ll need to excel and collaborate with your team
Remote working with visits in our offices
The best laptops and kit to work on
Internal Tech meetups on-site & online
Team socials funded by us
🤝Our interview process
Discovery phone interview with a recruiter (30 minutes).
Technical and Lifestyle interview with our Lead Analyst and another person from the Data team (60 minutes).
Interview with a domain specialist and Head of Data (30 minutes).
$55,000 — $95,000/year
To apply for this job, please visit the application page

