Analyst

🙌🏼 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

1. Discovery phone interview with a recruiter (30 minutes).
2. Technical and Lifestyle interview with our Lead Analyst and another person from the Data team (60 minutes).
3. Interview with a domain specialist and Head of Data (30 minutes).

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