Data Specialist: Hybrid Analytics & Insights

Mercator Group; United Kingdom; Hybrid; GBP 30,000 - 75,000; Full time

Benefits offered by this job

Competitive salary (£30,000 – £75,000) based on experience

5% personal training budget

Electric car scheme

Enhanced maternity and paternity packages

25 days holiday plus bank holidays

Cycle to work scheme

Employee Assistance Programme

5% company pension contribution

4x salary life cover

Packed social calendar

Modern offices with flexible hybrid working

Job summary

Mercator Group is seeking a Data Specialist to join our growing consultancy team. This role is pivotal in transforming public services through data-driven insights. You will work closely with multidisciplinary teams, presenting complex data findings to diverse stakeholders.

The ideal candidate has a strong background in data analysis and visualisation, with experience in programming and statistical modelling. A commitment to responsible analytics is essential, along with a passion for solving real-world problems through data.

Qualifications

• Strong background in statistical analysis and interpreting complex datasets.
• Experience with programming languages such as Python, R, or SQL.
• Ability to create clear, compelling visualisations.

Responsibilities

• Design and implement data collection strategies.
• Develop analytical frameworks and conduct statistical analyses.
• Build predictive models and data visualisations.

Skills

Statistical analysis

Data modelling

Python

R

SQL

Data visualisation

Problem-solving

Data governance

Machine learning

Cloud platforms

Dashboard development

Education

Relevant degree in Statistics, Computer Science, or Data Science

Tools

Power BI

Tableau

Job description

Mercator Group is seeking a Data Specialist to join our growing consultancy team. This role is pivotal in transforming public services through data-driven insights. You will work closely with multidisciplinary teams, presenting complex data findings to diverse stakeholders.

The ideal candidate has a strong background in data analysis and visualisation, with experience in programming and statistical modelling. A commitment to responsible analytics is essential, along with a passion for solving real-world problems through data.