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Senior Business Intelligence Engineer
2 months ago
We are seeking a highly skilled Senior Business Intelligence Engineer to join our team at Valaris. As a key member of our Business Intelligence team, you will be responsible for designing, implementing, and maintaining business intelligence systems and solutions.
Key Responsibilities- Foster a Strong Data Culture: Assist in promoting a data-driven culture within the organization, ensuring that data is used to inform business decisions.
- Improve Business Intelligence Capabilities: Collaborate with stakeholders to identify opportunities for improving the capabilities and value of business intelligence at the organization.
- Quality Control: Provide quality control of solutions within the quality control framework, ensuring that they meet the required standards.
- Change and Integration Management: Follow best practices for change and integration management to ensure seamless integration of new solutions.
- Troubleshooting and Support: Address IT tickets, troubleshoot performance, operability, and accuracy of reports, and provide support to business users.
- Administrative Duties: Perform administrative duties to maintain the current business intelligence environment, including managing access and performing routine maintenance.
- Enterprise Data Architecture: 2+ years of experience sustaining an enterprise data architecture, such as a common data model or data warehouse.
- Internal Stakeholder Management: 2+ years of experience working with internal stakeholders to design and implement business intelligence solutions.
- Full Lifecycle BI Projects: 2+ years of experience owning the full lifecycle of business intelligence projects and solutions.
- Enterprise Data Engineering: 5+ years of hands-on experience with enterprise data engineering, ETL, and data modeling.
- Microsoft Business Intelligence Stack: 5+ years of hands-on experience with the Microsoft Business Intelligence stack.
- Education: Bachelor's degree from an accredited college or university in a suitable field.
- Leadership and Interpersonal Skills: Excellent leadership and interpersonal skills, with the ability to work effectively with stakeholders at all levels.
- Dynamic and Customer-Facing Role: Comfortable operating in a fast-paced, dynamic, customer-facing role, with the ability to prioritize and manage work and stakeholders across multiple projects.
- Enterprise Data Environment: Capable of working within an enterprise data environment, with experience in change and integration management.
- Data Wrangling and Modelling: Strong skills in data wrangling, Power Query and M, and data modelling and DAX.
- Data Visualization and Troubleshooting: Strong skills in data visualization and troubleshooting concepts, with experience working with SQL Server Management Studio, DAX Studio, Tabular Editor, and ALM Toolkit.
- Security and Compliance: Comfortable working with row-level and object-level security, with a strong understanding of data security and compliance.