🙌🏼 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).
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