Business Intelligence Developer - Creative Insights
London, England, United Kingdom
Applications have closed
As a Business Intelligence Developer, you will have the opportunity to contribute to the company's success by developing and implementing business intelligence solutions. You will work on a team with other professionals who are dedicated to excellence and committed to producing high-quality results.
Job Responsibilities
- Collaborate with internal and external stakeholders to understand business requirements and develop custom dashboard solutions
- Building queries and schemas via SQL
- Develop, test, and deploy data pipelines, ETL workflows, and data-driven applications leveraging various BI tools and technologies
- Implement automation of data processing workflows to enhance efficiency and quality of the in-house data analysis systems
- Build and manage data visualization end points for clients
- Analyze large, complex datasets in order to identify trends and patterns that can be used to drive business decisions
- Ensure the security of data and integrity of BI solutions by implementing data governance policies and procedures
Requirements
- Bachelor's Degree in Computer Science, Engineering, Business Administration, or a related field
- 3+ years of experience in Business Intelligence Developer or similar roles
- Hands-on experience with BI visualization tools and reporting packages such as PowerBI and JavaScript chart libraries (e.g echarts, D3)
- Experience with Databricks Lakehouse and Python preferred
- Experience with data management processes for API In/Out
- Excellent data modeling skills and experience in SQL, with a deep understanding of database design principles
- Strong problem-solving skills with a solid background in statistical analysis
- Strong understanding of data warehousing, data management, governance, quality and related disciplines, concepts and industry trends
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Business Intelligence Computer Science D3 Data analysis Databricks Data governance Data management Data pipelines Data visualization Data Warehousing Engineering ETL JavaScript Pipelines Power BI Python Security SQL Statistics
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