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- Aufgaben: Collaborate with teams to define data needs and create efficient data models.
- Arbeitgeber: Join a forward-thinking banking department modernizing its data platform.
- Mitarbeitervorteile: Gain experience in a multi-year project with opportunities for growth.
- Warum dieser Job: Be part of a transformative project that impacts the future of banking data.
- Gewünschte Qualifikationen: Experience in data projects, proficiency in SQL, and a relevant degree required.
- Andere Informationen: Open to mid-level to early senior candidates looking to make a difference.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Job description: The Banking Department is initiating a multi-year project to modernize its data platform and improve data governance. An experienced Business and Data Analyst is needed to collaborate with various business areas (e.g., Risk, Finance, Front/Middle/Back Office) to support this transition. Applications are open to mid-level to early senior candidates. Requirements: Collaborate with business areas to understand their data needs and requirements. Define requirements for data products, including table schemas, in collaboration with business stakeholders. Design data models that meet business requirements and support efficient data retrieval and analysis. Assist in the creation of data workloads such as reports, queries, spreadsheets, and dashboards in the new data lakehouse platform. Develop and execute test plans to ensure accuracy and completeness. Write and optimise SQL queries to support the creation and validation of the data workloads. Document processes, data models, and any changes to business workflows. Competences: Proven experience in data projects, preferably within financial services, commercial banking or a similar industry. (****) Deep understanding of business areas such as Middle Office, Risk, or Finance, with the ability to translate business requirements into technical specifications. Proficiency in SQL, with the ability to write and optimise complex queries. (***) Strong experience in data modelling, including the design of table schemas and data structures. (***) Familiarity with data platforms and modern data architecture principles. (***) Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
Business and Data Analyst Arbeitgeber: Swisslinx
Kontaktperson:
Swisslinx HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Business and Data Analyst
✨Tip Number 1
Familiarize yourself with the specific data needs of the banking sector. Research common data governance practices and challenges faced by financial institutions to demonstrate your understanding during interviews.
✨Tip Number 2
Brush up on your SQL skills, especially focusing on writing and optimizing complex queries. Consider working on sample projects or case studies that showcase your ability to handle data workloads relevant to the banking industry.
✨Tip Number 3
Network with professionals in the banking and finance sectors. Attend industry events or join online forums to connect with potential colleagues and learn more about the current trends and expectations in data analysis within these fields.
✨Tip Number 4
Prepare to discuss your experience with data modeling and how you've successfully translated business requirements into technical specifications. Be ready to provide examples of past projects where you collaborated with various business areas.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Business and Data Analyst
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Business and Data Analyst position. Tailor your application to highlight relevant experiences that align with the job description.
Highlight Relevant Experience: Emphasize your experience in data projects, especially within financial services or commercial banking. Provide specific examples of how you've collaborated with business areas to define data needs and develop solutions.
Showcase Technical Skills: Clearly demonstrate your proficiency in SQL and data modeling. Include examples of complex queries you've written and any data models you've designed, as this will be crucial for the role.
Tailor Your Documents: Customize your CV and cover letter to reflect the competencies mentioned in the job description. Use keywords from the listing to ensure your application stands out to hiring managers.
Wie du dich auf ein Vorstellungsgespräch bei Swisslinx vorbereitest
✨Understand the Business Areas
Make sure to familiarize yourself with the specific business areas mentioned in the job description, such as Risk, Finance, and Middle Office. Being able to discuss how your experience aligns with their data needs will show that you can effectively collaborate with stakeholders.
✨Showcase Your SQL Skills
Prepare to demonstrate your proficiency in SQL during the interview. Be ready to discuss complex queries you've written in the past and how they contributed to data projects. This will highlight your technical capabilities and problem-solving skills.
✨Discuss Data Modelling Experience
Be prepared to talk about your experience with data modelling, including designing table schemas and data structures. Providing examples of how you've successfully implemented these in previous roles will help illustrate your expertise.
✨Emphasize Documentation Skills
Highlight your ability to document processes, data models, and changes to workflows. Discussing how you've maintained clear documentation in past projects will demonstrate your attention to detail and commitment to data governance.
