Analytics Engineer: Insight, Automation & Dashboards

SGI

Greater London

On-site

GBP 50,000 - 75,000

Full time

3 days ago
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Job summary

SGI is seeking an Analytics Engineer to transform complex data into meaningful insight that informs decision-making and public benefit. This role develops high-quality analysis, reporting and insight across the organisation, while identifying automation opportunities and strengthening data quality controls to maximise the value of data assets.

You will help deliver dashboards and publications, collaborate with stakeholders, and explore AI-enabled data initiatives.

Qualifications

  • Strong analytical and problem-solving skills.
  • Advanced Excel and SQL skills.
  • Experience using Power BI or similar visualisation tools.
  • Experience working with complex datasets.
  • Excellent communication and stakeholder management skills.
  • Strong attention to detail and commitment to data quality.
  • Ability to explain technical information clearly to non-technical audiences.

Responsibilities

  • Produce analytical outputs, reports and publications.
  • Create dashboards to support evidence-based decisions.
  • Analyze customer, market and operational data for insights.
  • Improve and automate reporting and analytics.
  • Strengthen data quality controls and assurance.
  • Support development of data-led products and initiatives.
  • Explore AI and emerging tech opportunities.
  • Collaborate with stakeholders; act as deputy to Senior Data Analyst when needed.

Skills

Analytical skills
Problem solving
Excel
SQL
Power BI
Data visualization
Complex datasets
Stakeholder management
Communication
Attention to detail
Data quality
Explain tech concepts

Tools

Power BI
Python
R
Automation tools

Job description

SGI is seeking an Analytics Engineer to transform complex data into meaningful insight that informs decision-making and public benefit. This role develops high-quality analysis, reporting and insight across the organisation, while identifying automation opportunities and strengthening data quality controls to maximise the value of data assets.

You will help deliver dashboards and publications, collaborate with stakeholders, and explore AI-enabled data initiatives.

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