Business Intelligence & Data Analytics Engineer in Glasgow

Business Intelligence & Data Analytics Engineer in Glasgow

Glasgow Full-Time 35000 - 42000 £ / year (est.) No working from home possible
Scorus Solutions Limited

At a Glance

  • Tasks: Transform raw data into actionable insights and develop data pipelines.
  • Company: Dynamic tech company in Glasgow focused on data-driven decisions.
  • Benefits: Competitive salary, professional development, and a collaborative work environment.
  • Other info: Exciting opportunities for growth in a fast-paced, innovative setting.
  • Why this job: Make a real impact by turning complex data into valuable business insights.
  • Qualifications: Master’s degree or equivalent experience in data science or analytics.

The predicted salary is between 35000 - 42000 £ per year.

This is a full-time on-site role for a Business Intelligence and Data Analytics Engineer located in Glasgow. This role is crucial in transforming raw data into actionable insights that drive business decisions. You will design, develop, and maintain data pipelines and ETL processes, create and manage data models, dashboards, and reports using BI tools, and analyse complex datasets to identify trends and patterns. You will collaborate with cross-functional teams to understand business needs and translate them into data requirements.

Responsibilities

  • Design, develop, and maintain data pipelines and ETL processes.
  • Create and manage data models, dashboards, and reports using BI tools.
  • Analyse complex datasets to identify trends, patterns, and opportunities for improvement.
  • Collaborate with cross-functional teams to understand business needs and translate them into data requirements.
  • Ensure data quality and integrity through rigorous testing and validation.
  • Develop and implement data governance policies and procedures.
  • Provide technical support and training to end-users on BI tools and data analysis techniques.

Requirements

  • Master’s degree in Data Science, Computer Science, Statistics, or a related field, or equivalent practical experience.
  • Proven experience in business intelligence, data analytics, and data warehousing.
  • Strong proficiency in SQL and experience with database management systems.
  • Excellent analytical and problem-solving skills.
  • Ability to effectively communicate complex data insights to non-technical stakeholders.
  • Experience in developing and maintaining ETL (Extract, Transform, Load) processes.
  • Experience with data pipelines and stream or micro-batch processing to convert real-time events to business intelligence data-points.
  • Experience in creating insightful data visualizations, dashboards, and reports.
  • Experience in analysing large datasets to identify trends and patterns.
  • Experience in designing and implementing data models.

Bonuses

  • Hands-on experience with BI tools such as BigQuery Studio, Looker, Tableau, Power BI, or similar.
  • Experience with scripting languages like Python or R.
  • Experience with Apache Spark, Apache Flink, or other frameworks for stream or micro-batch processing.

Location: Glasgow, United Kingdom

Job Category: Business Intelligence & Analytics

Job Type: Full time

Posted Date: 20 Apr 2025

Business Intelligence & Data Analytics Engineer in Glasgow employer: Scorus Solutions Limited

Scovers Solutions Limited is an exceptional employer located in the vibrant city of Glasgow, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive professional development opportunities, a supportive environment for growth, and the chance to work on cutting-edge BI and analytics projects that drive meaningful insights. With a commitment to employee well-being and a focus on work-life balance, Scovers Solutions stands out as a rewarding place to advance your career in data analytics.

Scorus Solutions Limited

Contact Details:

Scorus Solutions Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Business Intelligence & Data Analytics Engineer in Glasgow

Get to Grips with Data Visualisation Tools

If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.

Join Local Business Intelligence Meetups

Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Scorus Solutions Limited!

Engage with Online BI Communities

Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.

Leverage Your University’s Career Support

If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!

We think you need these skills to ace Business Intelligence & Data Analytics Engineer in Glasgow

SQL
Python
Problem-Solving Skills
Data Pipeline Development
Communication Skills
Data Engineering
Automation

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at Scorus Solutions Limited, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at Scorus Solutions Limited

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with Scorus Solutions Limited’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.