Data Analyst — Public Sector Analytics (Remote)

Made Tech Group; West of England, Greater London, Manchester, Swansea; Remote; GBP 35,000 - 55,000; Full time

Benefits offered by this job

30 days Holiday

Flexible Working Hours

Remote Working

Paid counselling

Job summary

Made Tech is seeking a Data Analyst to conduct in-depth data analysis, generate reports, and provide actionable insights for client projects. You'll build BI dashboards with Power BI, Tableau or Quicksight, interact with clients to translate needs into analytical solutions, and ensure alignment between operational and analytical work within projects.

You'll work across data management, modeling, cleansing and visualization, applying statistical techniques and presenting findings to both

Qualifications

• Perform in-depth data analysis and generate actionable client insights.
• Create BI dashboards using Power BI, Tableau, or Quicksight.
• Collaborate with clients to translate needs into analytical solutions.

Responsibilities

• Analyze data, synthesize insights, and support decision making.
• Maintain data accuracy with governance and security standards.
• Model data conceptually to enable integration and cleansing.
• Create visuals tailored to audiences with Power BI/Tableau.
• Profile data quality and validate across sources.
• Apply statistics such as regression and clustering.
• Communicate findings to technical and non-technical stakeholders.
• Translate business requirements into technical solutions.

Skills

Data analysis

Data visualization

Business intelligence

Statistical methods

Communication

Tools

Power BI

Tableau

Quicksight

Matplotlib

Seaborn

Job description

Made Tech is seeking a Data Analyst to conduct in-depth data analysis, generate reports, and provide actionable insights for client projects. You'll build BI dashboards with Power BI, Tableau or Quicksight, interact with clients to translate needs into analytical solutions, and ensure alignment between operational and analytical work within projects.

You'll work across data management, modeling, cleansing and visualization, applying statistical techniques and presenting findings to both