Senior BI Engineer building data models, semantic layers, and dashboards for Jobber’s small - business service platform. Driving governed self - service analytics and trusted business metrics.
LP
BI Developer – Tableau/Databricks
Posted via LinkedIn Recruiter (not a company profile)
Posted 5 months ago
About the role
- BI Developer needed to design and deliver Power BI/Tableau dashboards using Azure Databricks, SQL, and PySpark for a financial client.
Responsibilities
- Design, develop, and deliver Power BI and Tableau dashboards, scorecards, and standardized reports aligned with business requirements. Utilize Azure Databricks, SQL, and PySpark to query, validate, and transform large datasets for reporting purposes. Ensure KPI definition clarity, data quality, and consistency across multiple stakeholders. Translate stakeholder needs into actionable insights through effective visuals and storytelling. Manage end-to-end reporting deliverables, including requirements gathering, testing, release, and support. Collaborate proactively within the team to share best practices and continuously improve BI standards. Maintain high levels of accuracy, quality control, and attention to detail in all deliverables. Communicate complex technical concepts clearly to non-technical stakeholders.
Requirements
- 5+ years of hands-on experience in Business Intelligence or Analytics roles. Strong expertise working with Azure Databricks, SQL, and PySpark on large data volumes. Advanced proficiency in Power BI, including dashboard development, data modeling, DAX, and performance tuning. Experience working with Tableau, with coding skills in SQL, Python, or PySpark preferred. Demonstrated ability to produce high-quality, reliable, and scalable BI solutions. Excellent attention to detail and data quality practices. Proven ownership and accountability for project outcomes. Strong communication skills and effective team collaboration abilities. Nice to Have: Experience with dimensional modeling or semantic models for BI applications. Supporting enterprise dashboards and defining consistent KPIs across multiple stakeholder groups. Exposure to wealth management reporting or financial services environments.
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