Advanced Data Analyst (d/f/m) at Solaris Group

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

26 Apr, 26

Salary

0.0

Posted On

26 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Visualisation, Financial Product Understanding, Dashboard Storytelling, Data Modelling, Data Warehousing, Data Transformation, Data Orchestration, ML Models, Statistical Analysis, Software Engineering Principles, Version Control, CI/CD, Automated Testing, Communication Skills, Documentation Skills, Adaptability

Industry

Financial Services

Description

Solaris is a tech company with a full German banking license. Our Banking-as-a-Service platform enables businesses to offer their own financial products. With our straightforward APIs, our partners can access and integrate a wide range of solutions such as digital banking, payments, cards, identification and lending services. As a market leader we are driven by bringing transformational change to the financial services industry. We love what we do and we love our team. We are 500+ people from over 70 nationalities - a unique blend of techies, fintech enthusiasts, bankers and entrepreneurs from various industries. Our routines are built around genuinely valuing and exchanging different perspectives as well as actively sharing knowledge as we drive our business as a team. We believe and invest in personal growth. Your Role Design and implement domain specific data models, and visualisations that serve a specific business need. Experimenting with prediction data pipelines by using or developing ML functions. Implement and provide scheduled and ad-hoc reports and analysis with well defined metrics for a specific business use case. Translate business requirements into functional requirements in a close collaboration with the respective business function and guide the business departments towards better data coverage for informed business decisions. Comprehend complex business requirements and correlations between tasks and requests in order to enable self-service analytics. Contribute towards the common data quality framework by statistical analysis and anomaly detection, ideally using AI models. Constantly document the processes and technologies and enable knowledge sharing. We'd love to see Depending on your level of experience, your responsibilities and scope of role will range. We don’t care much about fancy titles, but rather about real personal and professional development, as laid out in our learning framework. Let’s figure together out how you can contribute to our team. Degree in Mathematics, Informatics, Natural Sciences or Finance and Economics Minimum 3 year experience in a role of a data analyst in a fast pace environment, ideally in banking and finance Technical Skills: Proficient with SQL Good data visualisation skills Excellent financial product understanding Ability to understand complex banking terms and concepts Dashboard storytelling Familiarity with data modelling and data-warehouse Familiarity with data transformation and data orchestration tools, ideally dbt and airflow Familiarity with ML models and statistical analysis Some understanding of software engineering principles, including version control (Git), CI/CD, and automated testing . Language Skills : Excellent English language skills Preferable German language skills Soft Skills : Very strong communication skills, to both technical and non technical members. Ability to grasp new business concepts and translate them into technical requirements Very good documentation and knowledge sharing skills Adaptability and Continuous Learning Benefits Home office budget. Learning & development budget of €1000 per year and a transparent growth framework to support your career goals. Competitive salary and a variable remuneration program. Monthly meal allowance. Deutschland ticket subsidy. 28 vacation days, increasing by 2 days after 2 years and 3 days after 3 years with Solaris. Opportunity to work abroad for up to 12 weeks per year. While job ads usually paint an ideal picture of a candidate, studies show that most applicants meet an average of 60% of the criteria. Unfortunately, many promising candidates tend to apply only if they meet all the criteria. So if you think you have what it takes, but don't necessarily meet every single item in the job description, please contact us anyway. We'd love to talk with you and find out if you might be a good fit for us. At Solaris, we are committed to nurturing an inclusive environment, where all Solarians feel valued, respected and supported. We are dedicated to building a diverse workforce that reflects the diversity of our communities. We are committed to equal employment opportunity regardless of color, ethnicity, religion, sex, origin, disability, marital status, citizenship, or gender identity. We are proud to be an equal opportunity workplace. If you have a disability or special need that requires accommodation, please let us know. Information on data processing: DE: https://www.solarisgroup.com/gdpr_notice_de EN: https://www.solarisgroup.com/gdpr_notice_en To all recruitment agencies: Solaris does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Solaris employees or any other venture in our ecosystem. Solaris is not responsible for any fees related to unsolicited resumes

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Responsibilities

The role involves designing and implementing data models and visualizations to meet business needs, as well as experimenting with prediction data pipelines. Additionally, the analyst will translate business requirements into functional requirements and contribute to data quality frameworks.