AI-Enabled Data Analyst: Insights & Visualization

LexisNexis; Budock Water; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading data and analytics company is seeking a Data Analyst III to consult with stakeholders, analyze data, and enhance decision-making using AI tools. The ideal candidate will have a degree in Data Analytics or a related field, significant experience with SQL and Python, and proficiency in visualization tools like Tableau and Power BI. This role involves executing complex projects independently while supporting the analytics team and promoting wellness through a supportive work environment.

Benefits

Generous holiday allowance

Health screening and private medical benefits

Wellbeing programs

Access to a competitive contributory pension scheme

Employee Assistance Programme

Qualifications

• Bachelor’s or Master’s Degree in Data Analytics, Mathematics, Computer Science, or equivalent work experience.
• Ability to understand complex data structures and apply advanced blending and refinement techniques.
• Significant experience leveraging SQL and Python for data querying and automation.

Responsibilities

• Consult with internal stakeholders to support data-driven business decisions.
• Execute projects with high complexity independently, incorporating automation and AI tools.
• Create visual displays of data using analytical packages.

Skills

SQL

Python

Data Visualization

AI/ML Tools

Statistics

Data Preparation Techniques

Education

Bachelor’s or Master’s Degree in Data Analytics or equivalent

Tools

Tableau

Power BI

Databricks

AWS SageMaker

Job description

A leading data and analytics company is seeking a Data Analyst III to consult with stakeholders, analyze data, and enhance decision-making using AI tools. The ideal candidate will have a degree in Data Analytics or a related field, significant experience with SQL and Python, and proficiency in visualization tools like Tableau and Power BI. This role involves executing complex projects independently while supporting the analytics team and promoting wellness through a supportive work environment.