Reiterate
Financial Data Analyst
Job Description
Changing the finance operations, our mission is to streamline and automate the finance operations stack. We recognized early on that finance teams navigate a tall stack of unstructured paper trails — invoices, contracts, transactions, and more. Fortunately, advancements in technology have significantly enhanced our capacity to process and interpret text data. Many challenges faced by finance teams stem from managing this unstructured data and having to find answers in them. Our strategy is straightforward: develop a sophisticated, automatic data processing engine designed to underpin a suite of applications tailored to automate and simplify the workload for finance professionals.
The first of many applications we’ve built on this premise is automatic control of payments which is currently automatically checking 250,000,000€+ worth of payments annually and is expected to control over 1 billion this year.
About You:
- You’re a seasoned data analyst with a minimum of four years in the field.
- Your technical prowess, leaning towards an engineering mindset, is matched only by your adeptness at navigating complex financial datasets.
- You’re not just familiar with tools – you’re eager to wield them, whether it’s coding in data-related languages or harnessing data visualization tools to craft compelling narratives.
- SQL isn’t just another acronym to you; it’s a cornerstone of your skill set, enabling seamless data querying and manipulation.
- Beyond your technical abilities, your exceptional communication and presentation skills set you apart, allowing you to translate intricate findings into actionable insights with ease.
- You thrive in collaborative environments, seamlessly integrating within cross-functional teams to drive impactful outcomes.
If this sounds like you, we invite you to apply and bring your expertise to our team.
What you’ll work on
- Controlling the controllers — making sure clients controls are set up appropriately.
- Driving the client-facing data analytics product implementation – i.e. Looker configuration for Reiterates data.
- Setting the analytics foundation for
- Financial reporting
- Customer metrics
- Product metrics
- Investor reporting
Our tech stack looks like this
- Postgres database
- Programming languages C#, typescript and Python for backend
- AWS with Kubernetes and Helm
- React for front-end
- Looker for analytics
What Reiterate is like
- Still need less than two pizzas to feed the team, yet controlling more than 1 trillion € by the end of 2024.
- We need to build the first version of everything, with little to no legacy.
- Ownership of features. You build it, ship it and maintain it.
- You will have a voice in establishing processes, guidelines and methods for a better working experience.
- No bureaucracy, a very small amount of meetings.
- Flexible working times, with an office in the center of Tallinn.
