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LOCAL JACK LTD

Greater London

On-site

GBP 65,000 - 90,000

Full time

8 days ago
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Job summary

LOCAL JACK LTD is seeking a BI/Data Analytics Engineer to design and automate Power BI dashboards for property management and FM clients. You will leverage data lake sources and Azure Synapse to deliver KPI reporting for SLA compliance and occupancy metrics.

You will collaborate with AI engineers and data teams to shape visualization pipelines and create reusable dashboard templates for white-label deployments, enabling scalable tenant experiences.

Qualifications

  • Degree in Computer Science, Information Systems or Data Analytics.
  • Commercial Power BI development in enterprise environments.
  • Proficiency in SQL, Python (Pandas), DAX and Power Query.
  • Experience with Azure data platforms preferred.

Responsibilities

  • Design Power BI dashboards from data lake sources (Azure Synapse, Azure Data Lake).
  • Automate KPI reporting for SLA compliance, occupancy and maintenance efficiency.
  • Collaborate with AI engineers and data teams on visualization pipelines.
  • Build reusable dashboard templates for white-label tenant deployments.

Skills

Power BI development
SQL
Python (Pandas)
DAX
Power Query

Education

Degree in Computer Science, Information Systems or Data Analytics

Tools

Azure data platforms
Azure Synapse
Azure Data Lake

Job description

Purpose: Design dashboards and performance KPIs for property management, social housing and FM clients of the JackTools platform.

Key responsibilities:
  • Develop Power BI dashboards from data lake sources (Azure Synapse, Azure Data Lake)
  • Automate KPI reporting for SLA compliance, occupancy and maintenance efficiency
  • Collaborate with AI engineers and data teams on visualisation pipelines
  • Build reusable dashboard templates for white-label tenant deployments
Skills and qualifications required:
  • Degree in Computer Science, Information Systems or Data Analytics
  • Commercial Power BI development in enterprise environments
  • Proficiency in SQL, Python (Pandas), DAX and Power Query
  • Experience with Azure data platforms preferred
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