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
- Data Analyst role supporting technical disciplines in data-driven reporting across various projects for built environment consultancy. Utilizing Microsoft technologies for insights, reporting, and automation.
Responsibilities
- Supporting a range of technical disciplines - including Building Surveyors, Fire Engineers, Clerk of Works and Designers - to deliver data-driven reporting across a range of projects.
- Delivering data-driven insights, reporting, and automation using the latest Microsoft technology stack.
- Extracting and loading data from multiple sources using SQL, Python, Microsoft Fabric Dataflows, and Pipelines.
- Analyzing structured and semi-structured datasets to uncover patterns, trends, and actionable insights.
- Developing and maintaining visually compelling reports and dashboards using Power BI, SSRS, and Excel.
- Building, deploying, and maintaining a library of templated analytics and reporting solutions for internal and external stakeholders.
- Collaborating with internal stakeholders in Service and IT to translate business requirements into actionable data solutions.
Requirements
- Bachelor’s degree (or equivalent experience and related certifications) in Computer Science, Data Science, Information Systems, or a related field.
- Strong proficiency in Microsoft technologies, especially Power BI, Excel, and Microsoft Fabric (including Data Factory, PySpark, OneLake) as well as DAX and Power Query.
- Proficiency in SQL, data modelling, and data integration.
- Familiarity with data analysis, statistical concepts, and data visualisation best practices.
- Knowledge of Medallion Architecture principles
- Microsoft Certifications related to Data Platform (DP-300, DP-600, DP-700, PL-300)
- Transformation of data using Python
- Knowledge of construction or built environment industry data and classification standards (e.g., COBie, IFC, Uniclass).
- Experience with API integration and automation.
- Experience with Copilot or similar AI-powered productivity tools.
- Exposure to machine learning, predictive analytics, or AI-driven insights.
Benefits
- Hybrid Working - Working patterns to support your work-life balance. As well as competitive maternity and paternity packages.
- Well-Rewarded - A competitive salary and generous holiday entitlement. As well as the opportunity to purchase up to five extra days.
- Focus On Wellbeing - We offer a number of health and wellness options, including gym membership and cycle to work schemes.
- Healthcare Packages - Private healthcare insurance and medical support, including dental insurance and eyecare vouchers.
- Personal Development - A continuous learning and development programme, including established APC and in-house mentoring schemes.
- Additional Benefits - We offer a wide range of benefits including a season ticket loan and professional membership subscriptions.
- Exceptional Exposure - You’ll have the opportunity to work on diverse projects across different sectors and regions.
- Social Responsibility - We hold team and social events as well as charity fundraising and volunteering activities.
Job title
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