Management Information Analyst

Hedron Network

Milton Keynes

Hybrid

GBP 30,000 - 42,000

Full time

25 hours ago
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Job summary

Hedron Network, part of Brown & Brown Group, is seeking an MI Analyst to join our data-driven team in a fast-paced insurance environment. With about 18 months of relevant experience, you will transform and analyse data, produce high-quality reporting and deliver actionable insight to stakeholders.

The role emphasizes Power Query in Excel with M code, and Power BI with DAX, building dashboards, ensuring data integrity, and driving reporting automation across the business.

Qualifications

  • Approximately 18 months' experience in an MI Analyst, Reporting Analyst, Data Analyst or similar role.
  • Strong analytical and problem-solving skills.
  • Excellent attention to detail and data accuracy.
  • Ability to communicate findings clearly to non-technical stakeholders.

Responsibilities

  • Design, develop and maintain MI reporting solutions for internal stakeholders
  • Build and enhance Power BI dashboards and reporting suites
  • Develop and maintain Power Query solutions in Excel, including writing custom M code from scratch
  • Extract, cleanse, transform and validate data from multiple sources
  • Produce accurate and timely management information and performance reporting
  • Identify opportunities to improve reporting automation and efficiency
  • Support business users with data analysis and reporting requirements
  • Ensure consistency, accuracy and integrity of reporting outputs
  • Work collaboratively with operational and leadership teams to understand reporting needs

Skills

Power Query
Power BI
M code
DAX

Tools

Excel

Job description

Location: Hybrid Working - 1 day per week in the office (Leeds or Milton keynes)

Company: Hedron Network. Brown & Brown Group

The Role:

We are looking for an MI (Management Information) Analyst to join our team. This role is ideal for someone with around 18 months' experience in an MI, reporting, data or analytics-focused position who is looking to further develop their technical and commercial skills within a fast-paced insurance environment.

The successful candidate will play a key role in transforming and analysing data, producing high-quality reporting, and delivering actionable insight to stakeholders across the business.

While broader MI and analytical experience is desirable, this role has two absolute core technical.

Requirements:
  • Advanced expertise in Power Query within Excel, including the ability to build queries and write M code from scratch
  • Advanced expertise in Power BI, including creating robust, insightful and visually effective reports and dashboards
Key Responsibilities:
  • Design, develop and maintain MI reporting solutions for internal stakeholders
  • Build and enhance Power BI dashboards and reporting suites
  • Develop and maintain Power Query solutions in Excel, including writing custom M code from scratch
  • Extract, cleanse, transform and validate data from multiple sources
  • Produce accurate and timely management information and performance reporting
  • Identify opportunities to improve reporting automation and efficiency
  • Support business users with data analysis and reporting requirements
  • Ensure consistency, accuracy and integrity of reporting outputs
  • Work collaboratively with operational and leadership teams to understand reporting needs
Absolute Must-Have Skills:
  • Expert-level capability in Power Query (Excel) with the ability to:
  • Write M code from scratch
  • Build complex transformation logic
  • Optimise and troubleshoot queries
  • Expert-level capability in Power BI, including:
  • Building dashboards and reports from the ground up
  • DAX knowledge
  • Creating clear and commercially useful visualisations
Experience:
  • Approximately 18 months' experience in an MI Analyst, Reporting Analyst, Data Analyst or similar role
  • Strong analytical and problem-solving skills
  • Excellent attention to detail and data accuracy
  • Ability to communicate findings clearly to non-technical stakeholders

The following are advantageous but not essential:

  • Experience within insurance or financial services
  • SQL knowledge
  • Experience working with large datasets
  • Understanding of KPI reporting and operational MI
  • Experience with data governance or data quality processes
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