AI-Driven Data Analyst: Turn Data into Decisions

Jacobs; Glasgow; Hybrid; GBP 50,000 - 90,000; Full time

Benefits offered by this job

Pension

Holiday allowance

Flexible working arrangements

Development opportunities

Mentors and learning

Global opportunities

Job summary

Jacobs Digital and Data is seeking a data analytics professional to turn complex data into evidence-based insights. You’ll apply statistical methods and AI-enabled approaches across critical programmes, delivering robust analyses that inform decision-making.

The role involves working with Python, SQL, and cloud platforms (Azure, Fabric, Synapse, Databricks), plus data visualization to communicate results to diverse stakeholders. A hybrid working policy supports flexible arrangements.

Qualifications

• Experience applying data analysis and statistical methods to solve business or operational challenges.
• Strong Python skills for data manipulation, analysis, and statistical modelling.
• Working knowledge of SQL for data extraction, validation, and investigation.
• Familiarity with cloud-based data platforms like Azure, Fabric, Synapse, or Databricks.
• Experience with data visualization tools such as Power BI, matplotlib, seaborn, or Plotly.

Responsibilities

• Translate complex business and programmes into analytical questions and measurable outcomes.
• Apply regression analysis, hypothesis testing, sampling, and confidence interval analysis to derive insights.
• Conduct exploratory data analysis to identify trends, risks and opportunities in large datasets.
• Develop reproducible analytics workflows using Python and SQL across cloud platforms.
• Create clear visualisations and narratives to communicate findings to technical and non-technical audiences.
• Collaborate with clients and technical teams to refine requirements and validate findings.

Skills

Python

SQL

Statistics

Data Visualization

Communication

Tools

Azure

Databricks

Fabric

Synapse

Power BI

Plotly

Job description

Jacobs Digital and Data is seeking a data analytics professional to turn complex data into evidence-based insights. You’ll apply statistical methods and AI-enabled approaches across critical programmes, delivering robust analyses that inform decision-making.

The role involves working with Python, SQL, and cloud platforms (Azure, Fabric, Synapse, Databricks), plus data visualization to communicate results to diverse stakeholders. A hybrid working policy supports flexible arrangements.