(Senior) Data Analyst (m/f/d) bei Unzer

ABOUT USUnzer is a leading European fintech company with a mission to simplify international payments for e-commerce and retail businesses. Our brand was formed from 13 companies that now contribute to building a unique product covering the entire payment flow. At Unzer, we are driven by the belief that customers should enjoy a seamless shopping experience, no matter where they choose to shop. We are a team of over 750 experts of 55 different nationalities, dedicated to creating a state-of-the-art unified commerce platform. Our goal is to enable businesses to delight their customers with a seamless payment experience. Whether you're a tech enthusiast, a payment expert, or a dedicated support professional, we are looking for individuals who are passionate about making a difference. Our offices: We are based across Austria, Denmark, Germany, and Luxembourg, with a HQ inBerlin. ABOUT THE TEAMThe Data Team is responsible for building up a self-serve data platform as well as enabling multiple product features within Unzer. The data processing patterns vary from real-time to batch, with a strong focus on availability and robustness. There is a high degree of freedom in choosing the best approach and tooling for the use cases that keep coming up with the business growth. The vision of the team is to make easily accessible and understandable the data within the company as well as enable the processes to be data-driven.

What your work will look like:

Develop optimized data models using dbt in our AWS Redshift environment

Build scalable data transformations and aggregations for key insights

Analyze complex data and create sophisticated aggregation logic using SQL and Python

Translate reporting needs into efficient analytics solutions with Metabase, leveraging AWS infrastructure

Work closely with Data Engineering, bridging raw AWS data and actionable intelligence

Lead data analysis and reporting projects, driving impact across the organization

Collaborate directly with senior management and stakeholders, turning data into strategic recommendations

Support ongoing ad hoc and operational reporting, ensuring data accuracy and accessibility

Provide comprehensive data visibility across management, financial, operational, compliance, and audit reporting 

What you need to be successful in this role:

5+ years in data analysis with a track record of delivering impactful insights

Experience in aggregation logic, data mart building, and report creation

Deep SQL knowledge, especially within data warehouses like Redshift or Snowflake

Proven DBT experience for data transformation, ideally in an AWS ecosystem

Understanding of data warehousing and ELT concepts, with experience on cloud platforms like Redshift

Familiar with Metabase or similar modern BI tools

Strong communicator, capable of explaining technical concepts to non-technical stakeholders

Experience with AWS services (S3, EC2, Lambda) is a plus 

What’s next?

Does it sound exciting? -  Apply with your CV in English. Please don’t shy away if you don’t meet all the requirements! We’re looking forward to meeting you.  

The interview process includes a call with a 30 min call with Talent Acquisition Manager, a 90-minute Technical interview with a team, and a 45-minute call with Mattia (Director of Engineering).

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