Business Intelligence & Data Engineering Analyst - FTC

Job description

We are seeking a junior Business Intelligence & Data Engineering Analyst on a 12 month FTC to support the development of dashboards, data pipelines, and analytics solutions. You will work with Power BI, Python, SQL, and AWS while partnering with business and technical team members to turn data into meaningful insights.

This is a Hybrid, Nottingham based role (40% in the office) reporting to the Vice President for Enterprise AI Programs What You'll Work On Power BI & Data Visualization

• Assist in building and enhancing Power BI dashboards and reports
• Create and modify DAX measures, calculated columns, and basic time-intelligence calculations
• Help develop data models using concepts such as star schemas and table relationships
• Support dashboard performance, usability, and data-quality improvements
• Create clear visualizations that help business stakeholders understand trends, performance, and opportunities
• Learn how to design dashboards and analytics for senior and executive audiences Data Engineering & ETL Develop and enhance Python-based data pipelines with guidance from the team Connect to REST APIs and work with JSON and other structured data
• Clean, transform, and validate datasets using Python libraries such as pandas
• Help implement error handling, logging, and data-quality checks
• Write clean, reusable, and well-documented Python code
• Load and manage structured data in relational databases Write SQL queries to retrieve, combine, and analyze data

Data Modeling & Metrics

• Help translate business questions into measurable KPIs and metrics
• Support the design and validation of calculated metrics
• Identify relationships across datasets and help integrate data from multiple sources
• Perform data-quality checks to ensure dashboards and analyses are accurate
• Investigate discrepancies and help determine root causes
• Work with the team to turn loosely defined business questions into analytical approaches

Qualifications

Degree in Data Science, Computer Science, Information Systems, Business Analytics, Statistics, Engineering, or a related field Some programming skills in Python and SQL Familiarity with data visualization or BI tools i.e. Power BI. Academic or personal projects creating dashboards, ETL pipelines, or data engineering Understanding of basic data concepts such as tables, relationships, joins, aggregations, and data quality Some technical skills in one or more of the following - REST APIs, JSON, MySQL, AWS, GIT