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- Aufgaben: Design and maintain data warehouses, develop ETL processes, and create insightful dashboards.
- Arbeitgeber: Join a leading IT services firm focused on innovative data solutions.
- Mitarbeitervorteile: Enjoy a full-time role with opportunities for professional growth and collaboration.
- Warum dieser Job: Make an impact by transforming data into actionable insights that drive business success.
- Gewünschte Qualifikationen: Bachelor's degree and 6+ years in data warehousing; strong SQL and BI tool skills required.
- Andere Informationen: Experience with Oracle Warehouse Builder is a must.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Business Intelligence Data Warehouse Consultant
As a BI & DWH Specialist, you will be responsible for designing, developing, and maintaining our data warehouse and business intelligence solutions. You will work closely with business stakeholders to understand their data needs and deliver actionable insights.
Key Responsibilities:
- Data Warehouse Design and Development:
Design and implement a robust data warehouse architecture.
Develop ETL processes to extract, transform, and load data from various sources into the data warehouse.
Ensure data quality and consistency through data profiling and cleansing techniques. - Business Intelligence Development:
Design and develop interactive dashboards and reports using BI tools (e.g., Power BI, Tableau) to provide insights into key business metrics.
Collaborate with business users to understand their reporting needs and translate them into actionable insights.
Create data visualizations that are easy to understand and interpret. - Data Analysis and Reporting:
Conduct in-depth data analysis to identify trends, patterns, and opportunities.
Prepare regular and ad-hoc reports to support decision-making.
Provide data-driven insights to improve business performance. - Data Governance:
Establish and maintain data governance policies and procedures.
Ensure data security and privacy compliance.
Monitor data quality and accuracy.
Qualifications and Experience:
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
- 6+ years of experience in data warehousing and business intelligence.
- Strong proficiency in SQL and data modeling techniques.
- Experience with BI tools (e.g., Power BI, Tableau).
- Knowledge of data warehousing concepts, ETL processes, and data mining techniques.
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal skills.
- Experience in Oracle Warehouse Builder is required.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Consulting, Information Technology, and Engineering
Industries
IT Services and IT Consulting, IT System Operations and Maintenance, and IT System Data Services
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Business Intelligence Data Warehouse Consultant Arbeitgeber: confidential
Kontaktperson:
confidential HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Business Intelligence Data Warehouse Consultant
✨Tip Number 1
Familiarize yourself with the specific BI tools mentioned in the job description, like Power BI and Tableau. Consider creating a portfolio of sample dashboards or reports that showcase your skills in these tools to demonstrate your expertise during the interview.
✨Tip Number 2
Brush up on your SQL skills, as strong proficiency is required for this role. Practice writing complex queries and consider participating in online coding challenges to sharpen your abilities and show your commitment to continuous learning.
✨Tip Number 3
Network with professionals in the data warehousing and business intelligence field. Attend relevant meetups or webinars to connect with industry experts and gain insights into current trends, which can help you stand out during the application process.
✨Tip Number 4
Prepare to discuss your experience with data governance and compliance during interviews. Be ready to share examples of how you've implemented data quality measures and ensured data security in previous roles, as this is a key responsibility for the position.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Business Intelligence Data Warehouse Consultant
Tipps für deine Bewerbung 🫡
Understand the Role: Take the time to thoroughly read the job description for the Business Intelligence Data Warehouse Consultant position. Make sure you understand the key responsibilities and qualifications required, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in data warehousing and business intelligence. Be specific about your proficiency in SQL, BI tools like Power BI or Tableau, and any relevant projects you've worked on that demonstrate your skills.
Showcase Your Analytical Skills: Since the role requires strong analytical and problem-solving skills, include examples of how you've used data analysis to drive business decisions. Mention any specific methodologies or techniques you've employed in past roles.
Tailor Your Application: Customize your cover letter to reflect your understanding of the company's needs and how you can meet them. Use keywords from the job description to ensure your application resonates with the hiring team.
Wie du dich auf ein Vorstellungsgespräch bei confidential vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, data modeling, and ETL processes in detail. Highlight specific projects where you successfully designed and implemented data warehouse solutions.
✨Demonstrate BI Tool Proficiency
Familiarize yourself with the BI tools mentioned in the job description, such as Power BI and Tableau. Bring examples of dashboards or reports you've created to showcase your ability to deliver actionable insights.
✨Understand Business Needs
Research the company and its industry to understand their data needs. Be ready to discuss how you can translate business requirements into effective data solutions and visualizations.
✨Emphasize Data Governance Knowledge
Discuss your understanding of data governance policies and procedures. Be prepared to explain how you ensure data quality, security, and compliance in your previous roles.
