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- Aufgaben: Join Ratepay's Data team to enhance financial reporting and analytics through self-service tools.
- Arbeitgeber: Ratepay is a diverse company with over 250 employees from 40 nationalities, focused on data-driven solutions.
- Mitarbeitervorteile: Enjoy a collaborative culture, opportunities for growth, and the chance to work with cutting-edge cloud tech.
- Warum dieser Job: Make a real impact by driving data-informed decisions in finance while working in an AGILE environment.
- Gewünschte Qualifikationen: Experience with SAP, SQL, Python, and a knack for simplifying complex data topics is essential.
- Andere Informationen: We celebrate diversity and are committed to equal opportunities for all applicants.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Here’s What You’ll Be Doing
You’ll join Ratepay’s Data domain to drive financial reporting and analytics by democratizing access to reporting-ready data via self-service analytics. In the role, you will work closely with the analytics engineering lead and data engineers to strengthen the financial reporting offering on our cloud-native tech stack to enable business users to dive into first and second-order questions via self-service.
The Data department at Ratepay encompasses Data Engineering, Analytics Engineering and BI, Product Analytics and Data Analytics. We work with a cloud-native CI/CD tech stack (Snowflake, AWS, Airflow, Tableau, BitBucket, Jenkins, etc.) in an AGILE way, infusing the data mesh principles into our development and release strategies. The role reports to the Head of Data, focusing on automating self-service reporting products and embedding data-informed decision-making across Risk, Product, and Finance domains.
The impact
- Work closely with the analytics engineering lead to drive the self-service reporting data product development by building on Ratepay’s cloud-native CI/CD stack (Snowflake, AWS, Airflow, Tableau, BitBucket, Jenkins, etc.).
- Collaborate with finance domain experts, data engineers, and data analysts to scale the reporting suite by merging datasets from SAP BW and SAP ERP.
- Thought partner to finance domain leads to predict and plan for emerging reporting needs.
- Own KPI definition and cataloging for the finance space.
- Ensure data availability from source systems to enable rapid response to emerging anomalies.
- Collaborate with Data Engineering, Analytics, ML, and Finance leadership teams to scope OKR cycles.
- Support improvements in data and platform infrastructure to enhance analytics capabilities and tools.
Your profile
- Have experience in developing datasets crucial for finance operations with exposure to SAP and SAP BW.
- Exposure to financial know-how to develop solutions to support finance and controlling domains via cloud tech stack.
- Be proficient in SQL and hands-on experience with Python to replicate Microsoft Excel based reporting logic.
- Bring simplicity to seemingly complex topics to scope delivery within OKR cycles.
- Have experience in data analysis, interpretation, and visualization.
- Be a strategic thinker with problem-solving skills, focusing on driving business impact.
- Have had exposure to statistical analysis and machine learning techniques.
- Be proficient in English and preferably in German.
Equal Opportunities & Diversity
We value our diversity and welcome everyone to our team. Regardless of ethnic and social background, religious beliefs, worldview, gender, sexual orientation, physical and mental limitations, age, marital status, educational background, and nationality. With over 250 employees and 40 different nationalities, we take our values seriously. These include ownership, growth, integrity, collaboration, customer centricity, and inclusion (4/7 of our C-Level Board members are female).
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Senior Analytics Engineer (m/f/d) Arbeitgeber: Ratepay
Kontaktperson:
Ratepay HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Analytics Engineer (m/f/d)
✨Tip Number 1
Familiarize yourself with the cloud-native tech stack mentioned in the job description, especially Snowflake, AWS, and Airflow. Having hands-on experience or projects that showcase your skills with these tools will make you stand out.
✨Tip Number 2
Engage with the finance domain by understanding key financial metrics and reporting needs. This knowledge will help you communicate effectively with finance experts during the interview process.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of how you've simplified complex data issues in previous roles. This aligns well with the company's focus on driving business impact through data.
✨Tip Number 4
If you're proficient in both English and German, highlight this during your discussions. Being bilingual can be a significant advantage in a diverse workplace like Ratepay.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Analytics Engineer (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Analytics Engineer position at Ratepay. Understand the key responsibilities and required skills, especially those related to financial reporting, data engineering, and cloud-native technologies.
Highlight Relevant Experience: In your application, emphasize your experience with SAP, SQL, and Python. Provide specific examples of how you've developed datasets for finance operations and any relevant projects that showcase your analytical skills.
Showcase Problem-Solving Skills: Demonstrate your strategic thinking and problem-solving abilities in your cover letter. Discuss how you've tackled complex data challenges in the past and how you can bring simplicity to complex topics, aligning with the company's focus on driving business impact.
Tailor Your Application: Customize your CV and cover letter to reflect the values and culture of Ratepay. Mention your commitment to diversity and inclusion, as well as your ability to collaborate effectively within diverse teams, which is important to the company.
Wie du dich auf ein Vorstellungsgespräch bei Ratepay vorbereitest
✨Understand the Tech Stack
Make sure you familiarize yourself with the cloud-native CI/CD tech stack mentioned in the job description, such as Snowflake, AWS, Airflow, and Tableau. Being able to discuss your experience with these tools will show that you're ready to hit the ground running.
✨Showcase Your Financial Acumen
Since the role focuses on financial reporting, be prepared to discuss your experience with finance operations, especially with SAP and SAP BW. Highlight specific projects where you've developed datasets or solutions that supported finance and controlling domains.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your responses, focusing on how your strategic thinking led to impactful business outcomes.
✨Communicate Clearly and Confidently
Since the role requires collaboration with various teams, practice explaining complex data concepts in simple terms. This will demonstrate your ability to bring clarity to seemingly complex topics, which is crucial for effective communication in an AGILE environment.
