BI Specialist
Length: 3 months intially
Location: 2 to 3 days per week in Paddington
Salary: £450 per day via umbrella company
The role
One-off project to rebuild an existing inefficient and temperamental reporting suite as the reporting team are unable to resource this whilst maintaining BAU activity.
To rebuild the Trade reporting suite in Power BI to be more robust, efficient, automated and fit-for-purpose
Key Responsibilities:
- Design and Development:
- Develop, publish, and schedule interactive Power BI reports and dashboards.
- Transform raw data into meaningful insights through data visualization.
- Implement best practices in dashboard design to ensure efficient performance.
- Data Management:
- Connect to various data sources, import data, and transform data for Business Intelligence.
- Ensure data accuracy and integrity across all reports and dashboards.
- Manage and maintain data models within Power BI.
- Collaboration and Communication:
- Collaborate with stakeholders to understand business requirements and translate them into technical specifications.
- Provide training and support to end-users on Power BI report usage.
- Work closely with IT and data engineering teams to ensure data availability and reliability.
- Performance Optimization:
- Monitor and optimize the performance of Power BI solutions.
- Troubleshoot and resolve issues related to report performance and data quality.
- Stay updated with the latest Power BI features and updates to leverage new functionalities.
Qualifications:
- Education and Experience:
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.
- Minimum of 3 years of hands-on experience with Power BI.
- Proven experience in data analysis, business intelligence, or related fields.
- Ideally from a retail background
- Technical Skills:
- Proficient in Power BI
- Strong understanding of relational databases, SQL, and data warehousing concepts.
- Experience with other BI tools (e.g., Tableau, QlikView) is a plus.
- Knowledge of cloud platforms (e.g., Azure, AWS) and their integration with Power BI is advantageous.
