Business Intelligence & Data Engineering Analyst - FTC

Description

The company is hiring a junior Business Intelligence and Data Engineering Analyst on a 12 month fixed-term contract to help build dashboards, data pipelines and analytics solutions.

You will use Power BI, Python, SQL and AWS, working alongside business and technical colleagues to turn data into useful insights.

The role is based in Nottingham on a hybrid basis, with 40% of time in the office, and reports to the Vice President for Enterprise AI Programs.

The company is a global data and technology business serving sectors including financial services, healthcare, automotive, agribusiness and insurance. It has 25,200 people across 32 countries.

Responsibilities

• Help build and improve Power BI dashboards and reports.
• Write and edit DAX measures, calculated columns and simple time-intelligence calculations.
• Help design data models using star schemas and table relationships.
• Contribute to better dashboard performance, usability and data quality.
• Build clear visuals that show stakeholders trends, performance and opportunities, and learn to design for senior and executive audiences.
• Build and extend Python data pipelines with guidance from the team.
• Connect to REST APIs and handle JSON and other structured data.
• Clean, transform and validate datasets with Python libraries such as pandas.
• Add error handling, logging and data-quality checks.
• Write tidy, reusable, well-documented Python code.
• Load and maintain structured data in relational databases.
• Write SQL to retrieve, join and analyse data.
• Turn business questions into measurable KPIs and metrics, and help design and validate calculated metrics.
• Find links between datasets and help combine data from several sources.
• Run data-quality checks so dashboards and analyses are accurate.
• Investigate discrepancies and help find their root causes.
• Work with the team to shape vague business questions into analytical approaches.

Requirements

• A degree in Data Science, Computer Science, Information Systems, Business Analytics, Statistics, Engineering or a related field.
• Some programming experience in Python and SQL.
• Familiarity with data visualisation or BI tools such as Power BI.
• Academic or personal projects that involved dashboards, ETL pipelines or data engineering.
• A grasp of basic data concepts: tables, relationships, joins, aggregations and data quality.
• Some technical experience with one or more of REST APIs, JSON, MySQL, AWS or Git.

Conditions

12 month fixed-term contract.

Hybrid working, based in Nottingham, with 40% of time in the office.

Reporting to the Vice President for Enterprise AI Programs.

Grade F/EB10.

Equal opportunity employer; reasonable adjustments are available on request if you have a disability or special need.

Benefits

• Competitive pay package and a discretionary bonus.
• Pension, Bupa healthcare and Sharesave Scheme, among other core benefits.
• 25 days annual leave plus 8 bank holidays and 3 volunteering days, with the option to buy extra leave.