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Azure Data Analyst

Queen Square Recruitment

Windsor

Hybrid

GBP 60,000 - 80,000

Full time

Yesterday
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Job summary

A leading recruitment agency is seeking a highly experienced Azure Data Analyst with expertise in the Energy Utilities domain. The role involves transforming complex data into actionable insights, ensuring data quality, and supporting analytical needs using Microsoft Azure technologies. The successful candidate will collaborate with cross-functional teams and maintain data integrity.

Qualifications

  • 15+ years of IT experience, with 10+ years in Azure Data Analytics.
  • Proven background in Energy Utilities, especially Smart Metering.

Responsibilities

  • Analyze and interpret large datasets to deliver actionable insights.
  • Design and build robust data models tailored to business needs.

Skills

Analytical Skills
Problem Solving
Communication

Tools

SQL
Python
R
Azure

Job description

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Duration: 6 Months

Location: Windsor, UK (Hybrid – 1 day/week onsite)

About the Role

We are seeking a highly experienced Azure Data Analyst with a deep understanding of the Energy Utilities domain, particularly in Smart Metering projects. The successful candidate will be responsible for transforming large volumes of complex data into meaningful business insights, ensuring high data quality, and supporting analytical and reporting needs using Microsoft Azure technologies.

Key Responsibilities

Analyze and interpret large datasets to deliver actionable insights.

Design and build robust data models tailored to business needs.

Extract and transform data from various Azure-based sources.

Maintain data quality, accuracy, and consistency.

Collaborate with cross-functional teams to define data requirements.

Identify and address data-related issues, ensuring reliability.

Key Skills & Experience

15+ years of IT experience, with 10+ years in Azure Data Analytics.

Proven background in Energy Utilities, especially Smart Metering.

Strong analytical skills with a knack for pattern identification and interpretation.

Expertise in statistical methods and data modeling.

Proficient in SQL, Python or R.

Deep knowledge of Azure tools:

Strong problem-solving abilities in data quality and accessibility.

Soft Skills

Client-facing and stakeholder management capabilities.

Strong communication, coordination, and team leadership.

Experience working with multiple vendors and cross-functional teams.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Contract
Job function
  • Job function
    Information Technology
  • Industries
    Staffing and Recruiting

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