Description

🙌🏼 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).

Location

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