Hybrid Data Analyst: Power BI & Automation

Advania Group

Greater London

Hybrid

GBP 45,000 - 55,000

Full time

5 days ago
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Benefits offered by this job

Hybrid work policy
Competitive salary

Job summary

Advania Group is seeking a skilled Data Analyst to deliver accurate, timely management reporting for internal stakeholders and clients on the Sipcom business. You will gather, validate, and analyse data from various sources to create actionable insights for strategic and operational decisions.

The role focuses on building user-friendly Power BI reports, identifying trends, and automating manual reporting with Power Automate, while ensuring data quality and governance.

Qualifications

  • Experience in a Reporting Analyst, Data Analyst, Data Scientist, or similar analytical role.
  • Strong knowledge of Power BI, Azure Synapse Analytics, SQL Server Reporting.
  • Experience extracting, cleansing, transforming data from multiple sources.
  • Ability to translate requirements into practical dashboards.

Responsibilities

  • Create and manage Power BI reports and dashboards to support decision-making.
  • Analyse data from multiple sources to identify trends, risks, and opportunities.
  • Validate reporting data and investigate discrepancies to ensure accuracy.
  • Gather requirements from stakeholders and translate into practical dashboards and outputs.
  • Automate reporting processes using Power Automate to improve efficiency.

Skills

Data analysis
Problem solving
Stakeholder communication
Excel

Tools

Power BI
Azure Synapse Analytics
SQL Server Reporting
Power Automate

Job description

Advania Group is seeking a skilled Data Analyst to deliver accurate, timely management reporting for internal stakeholders and clients on the Sipcom business. You will gather, validate, and analyse data from various sources to create actionable insights for strategic and operational decisions.

The role focuses on building user-friendly Power BI reports, identifying trends, and automating manual reporting with Power Automate, while ensuring data quality and governance.

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