Analytics Engineer

About finmid

finmid's mission is to enable software companies to reimagine how their business customers access capital. By productizing the complexity of financial services, finmid empowers companies to offer financial services where FinTech isn't the mission but enables the mission.

About the opportunity

• Ensure that our users, product, and business have the models, data products, and insights needed to make decisions.

• Work closely with the team to translate business needs into data problems.

• Build metrics, scalable data pipelines, dashboards, and reports to inform and run the business.

• Deliver actionable business recommendations through analyses and data storytelling.

• Apply software engineering best practices to analytics code (eg. version control, testing, CI/CD).

• Maintain data documentation & definitions.

• Transform, test, deploy, and document datasets for clarity and accessibility.

• Use modern data stack tools (DBT, Snowflake, BigQuery, Redshift) to manage data workflows.

• Train business users on how to use data visualization tools.

• Enable self-service data analysis for business users.

Requirements

• You have a creative mindset.

• Experience in data engineering and data analysis.

• Proficiency with SQL and experience in one or more programming languages (Python, R).

• Strong statistical knowledge.

• Expertise in visualization and using data insights to make recommendations and achieve goals.

• Familiarity with cloud-based data warehouses (Redshift, Snowflake, BigQuery) and data transformation tools.

• Strong understanding of data modeling, ETL processes, and data warehousing concepts.

• Excellent problem-solving skills and attention to detail.

• Ability to work collaboratively in a team environment.

• Proven ability to manage and deliver on multiple projects with great attention to detail.

• Strong communication skills to document and explain data processes to non-technical stakeholders.

Bonus points for

• Experience with financial or payments technologies.

• Good understanding and practical experience with building data pipelines leveraging Infrastructure as Code (e.g. Terraform, AWS, Docker, Kubernetes etc.)

• Experience working with remote teams.

Benefits

• We see ourselves as “distributed first” but also have a beautiful office in Berlin where you can work.

• We are flexible and cover whatever you need to be as productive as possible (e.g. MacOS, IntelliJ IDEA).

• Home office stipend.

• 30 days time off.

• Meaningful equity.

• Open-minded and transparent culture that includes regular get together meetings (e.g. All Hands, Brown Bag Lunch, Offsite).

We're looking for people with passion, grit and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. We welcome diverse perspectives and people who think out of the box and aren't afraid to challenge assumptions. Join us.