National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Business Intelligence Developer

Experis Scotland
Edinburgh
1 week ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Developer

Business Intelligence Developer

Business Intelligence Developer

Business Intelligence Developer

Business Intelligence Developer (Power BI) - Up to £800 P/D - London/Hybrid

Senior Business Intelligence Developer

Business Intelligence Officer

Location:Hybrid (2 days a week – Edinburgh)

Job Type:Full-time, Permanent

Salary:£30,000 - £35,000 + Bonus Scheme


Our client, based in Edinburgh, is looking for aBusiness Intelligence Officerto join their team on a permanent basis. This role is part of a growing Business Intelligence function and offers a very good learning opportunity for someone looking to develop their skills in data analysis and reporting while working with an experienced team. The successful candidate will be fully supported with training to help them grow in the role.


Key Responsibilities

  • Analyse large datasets to support business decision-making
  • Present data findings clearly to both technical and non-technical stakeholders
  • Build and maintain reports, dashboards, and models using Power BI
  • Write SQL queries and views to support reporting and analysis
  • Collaborate with the team to develop and deliver BI solutions
  • Provide support for existing reports and tools, resolving data-related issues
  • Ensure BI outputs are properly tested and reliable before release
  • Help improve reporting processes and data quality across the business


What We’re Looking For

  • 2+ years’ experience in a Business Intelligence, Data Analyst, or similar role
  • Strong analytical and problem-solving skills
  • Experience with Power BI and Microsoft SQL Server
  • Comfortable working with large datasets to identify trends and insights
  • Good communication skills, able to present findings clearly to different audiences
  • Proactive and collaborative approach
  • Ability to adapt to changing priorities and work independently when needed


Desirable

  • Experience or exposure to Python or other scripting tools


Applicants should be able to commute to the Edinburgh area for hybrid working

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.