Business Intelligence Developer

Iris Recruitment
Manchester, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 48K

Job location

Manchester, United Kingdom

Tech stack

JavaScript
Microsoft Excel
Microsoft Windows
Agile Methodologies
Amazon Web Services (AWS)
Azure
C Sharp (Programming Language)
CSS
Databases
Data Visualization
Data Warehousing
PostgreSQL
MySQL
SQL Databases
Data Processing

Job description

ABIOS underpins a lot of day-to-day activity at IRIS. It brings together data from multiple core systems and makes it usable for teams who rely on accurate, timely information.

  • Used by over 700 internal users each day
  • Supports billing, finance and operational reporting
  • Helps teams view, update and work with trusted data
  • Continues to evolve as the business grows and changes

You'll help keep the platform running smoothly while also contributing to improvements and future changes, including a move towards a hybrid Azure / AWS environment., This is a hands-on role with a mix of development and support. Day to day, you'll be:

  • Building and improving internal data tools within ABIOS
  • Writing and maintaining SQL queries, views and datasets
  • Pulling data from data warehouses and preparing it for use in tools and reports
  • Investigating and fixing data issues to maintain data quality
  • Testing changes and new features to ensure they work as expected
  • Working with internal teams (such as Finance and Sales) to understand what data they need
  • Documenting solutions and creating simple user guides
  • Supporting wider Data Science BAU activity when needed

As you become more familiar with the platform, you'll take on more ownership and start contributing to how solutions are designed, not just built., A SQL- and data-focused assessment sent to you to complete independently. The test is designed to assess your own technical ability and understanding.

Final face-to-face interview (Peterborough/Manchester)

A final discussion with senior members of the Data Science team, including the hiring manager, to explore fit, collaboration style and how you'd work day to day.

Requirements

This role is suited to someone with a solid foundation who is keen to develop further.

You'll ideally have:

  • Commercial experience working with SQL and data manipulation
  • Strong Excel / Microsoft 365 skills
  • Experience working with data in a business environment
  • A structured, organised approach and good attention to detail
  • The ability to explain technical topics clearly to non-technical colleagues

Experience in the following would be useful but isn't essential:

  • Postgres, MySQL or similar databases
  • C# .NET, JavaScript, HTML/CSS
  • Azure or AWS
  • Internal data tools or reporting platforms
  • Agile or Waterfall delivery approaches

More importantly, we're looking for someone who is:

  • Curious and keen to learn
  • Comfortable asking questions and picking up new systems
  • Practical and solution-focused
  • Happy working as part of a team but able to take ownership of tasks
  • Willing to put the effort in and grow with the role, A conversation focused on your experience, mindset and motivation for the role. We're looking for genuine interest and understanding of what the role involves., If you're looking for a role where your SQL skills are genuinely used, your work is trusted, and you can grow with the platform over time, we'd like to hear from you.

About the company

IRIS is continuing to grow its Data Science team as the business relies more heavily on data to support reporting, decision-making and future initiatives across finance, sales and operations. This is a newly created role to support the ongoing development of ABIOS, our internal data platform. ABIOS is used daily by teams across the business and plays an important role in areas such as billing, reporting and operational insight, supporting around £500k of monthly revenue. The role would suit someone who enjoys working with SQL, likes understanding how data is used in a real business context, and wants to be close to the problems they're solving rather than working on isolated technical tasks.

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