Business Intelligence Engineer at Jobber developing analytical assets and BI solutions to support small businesses. Collaborating with the Analytics team on reporting and operational performance monitoring.
About the role
- BUSINESS INTELLIGENCE Analyst at Gunnebo creating BI solutions for data-driven decisions. Collaborating with stakeholders and optimizing existing BI systems in a hybrid workplace.
Responsibilities
- Design, develop, and maintain BI solutions using Microsoft technologies to support business decision-making.
- Collaborate with business stakeholders to gather and understand their requirements and translate them into technical specifications.
- Develop and implement ETL processes using SSIS to integrate data from various sources into data warehouses.
- Create and maintain dashboards and reports, providing actionable insights.
- Conduct data validation and ensure the accuracy and integrity of data.
- Optimize existing BI systems, perform regular maintenance, and conduct performance tuning.
- Provide technical support and training to end-users on Power BI and other Microsoft BI tools.
- Stay updated with the latest Microsoft BI technologies and industry trends.
- Proactively propose analytics improvements: Based on your understanding of our key data sources, cubes, data quality and reporting best practices - become a true business partner for the business, challenging and proposing alternative ways to fulfil the business needs for analytics as defined together with the team.
- Schedule and run regular workshops with business counterparties: Validating analytics, proactively gathering the needs of the business and keeping a close loop of feedback going.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
- Advanced degrees (e.g., Master’s in Data Science, MBA with a focus on Information Systems) are a plus.
- 3-5 years of experience as a Power BI Developer, Data Analyst, or in a similar role within a Microsoft environment.
- Proven experience with Microsoft SQL Server, including SSIS (SQL Server Integration Services), SSAS (SQL Server Analysis Services), and SSRS (SQL Server Reporting Services).
- Familiarity with Microsoft Azure services such as Azure SQL Database, Azure Data Factory, and Azure Synapse Analytics is highly desirable.
- Excellent SQL skills and experience with Microsoft SQL Server.
- Strong proficiency in BI tools such as PowerBI, Tableau, etc.
- Proficiency in SSIS for ETL processes and data integration.
- Experience with SSAS for data modelling and analysis.
- Experience with SSRS for reporting.
- Familiarity with Azure cloud services related to BI and data analytics.
- Attention to detail and a commitment to data quality and accuracy.
- Structured and analytical approach to problem-solving.
- Ability to communicate - building the bridge from business need to technical BI implementation and back.
- Proactiveness - proactively proposing alternative ways to implement reporting balancing available data and business needs.
- Passion to work in a start-up like environment where your ideas get heard and moving fast forward is possible - but often also dependent on your drive, perseverance and collaboration skills to progress agreed on priorities.
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