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

Nominate & Attend

Business Intelligence Consultant

Manchester
5 days ago
Applications closed

Related Jobs

View all jobs

SAS Data Engineer

ERP Master Data Analyst

Data Science and Analytics Senior Business Analyst

Senior Data Engineer (Maximo)

Data Engineer

Data Engineer

Job Title: Business Intelligence Consultant

Location: Manchester

Salary: Up to £55k per year + bonus

Job type: Full Time, Permanent.

About the role;

As a Business Intelligence Consultant, you will work on all aspects of implementation and support of client facing BI Projects. You will be expected to carry out presales activity as well as leading the full consultancy cycle. Post go-live, you will also support as an escalation point for 3rd line technical queries.

You must be competent in solution design and delivery of products such as Power BI, Fabric and Qlik Sense. This is a home-based role, national travel will be required therefore a valid full UK driving licence and access to a vehicle is essential.

Who are we?

Technology Services Group are a Managed IT Services provider supporting businesses UK wide with their technology solutions. As a Microsoft Partner we are committed to delivering excellence for our customers alongside investing in our colleagues to provide them with the knowledge and tools required to deliver great results.

TSG are one of the few Microsoft Partners in the UK who hold all six Microsoft designations, and one of the only partners who specialise in mid-market. Our commitment to excellence for our customers and employees is backed by our consistent world class NPS score of +80 and our recent accreditation as a 'Great Place to Work' in addition to being placed on the '2024 UK's Best Workplaces in Tech' list. Our guiding principles of Team TSG, Service Excellence and Shared growth are at the heart of everything we do.

Why should I work for TSG?

Employee ownership - as a growing business we want to ensure that everybody who contributes towards our success, shares in our success. High performing members of Team TSG are entered into an employee benefits trust (EBT). The EBT is the single largest beneficiary within TSG meaning employees will share the benefits of the proceeds, driving a high performing culture with long term value and mutually beneficial outcomes
Our open and honest culture where feedback is taken on-board and acted upon
Our social events - annual all expenses paid 'TSG Festival' and team building funds
Two paid CSR days per annum that you can use to support the community
Giving something back - the 'TSG Foundation' established in November 2022 has so far donated over £160,000 to support nominated businesses and charities
Our responsibility to the environment as we work towards net carbon zero
Flexible working opportunities including home working and hybrid options
Annual salary benchmarking
Excellent progression opportunities, training and support, including recognised qualificationsJob responsibilities will include, but are not limited to;

Deliver end to end Business Intelligence projects using an agile methodology
Assist the sales cycle via presales/discovery activities
Scope, analyse, and requirements gathering to design appropriate BI solutions
Install, upgrade and configure Qlik and Microsoft BI products
Implement BI solutions to meet the customers requirement
Design and build Proof of Concept (PoC) Qlik Sense apps / Power BI reports
Build user friendly, functional, attractive dashboards using data visualisation techniques
Conduct training/workshops with customers
Act as an escalation point for post go-live support issues
Mentor junior members of the team where requiredKnowledge, Skills & Experience;

Certified within Microsoft Power BI/Microsoft Fabric and Qlik Sense would be preferred
Strong demonstratable experience of developing, implementing and supporting solutions within Microsoft BI related products
Knowledge of SQL querying
Data warehousing and data modelling experience
Data visualisation skills, using design flair to create attractive and functional dashboards
Strong communication skills both written and verbal
Analytical mindset and strong problem-solving skills
Qlik Administration/Power BI Administration/Windows Server administration experience would be preferred
Understanding of cloud computing environments (Azure)
Familiarisation with Azure Data Services / Azure Fundamentals
Knowledge of HTML/CSS and JavaScript libraries would be preferredBenefits;

25 days annual leave + public holidays, rising with length of service
Employee benefits trust
Company bonus scheme
Life assurance 4 x Salary
Contributory pension scheme at 4% matched
Healthcare and cash plan
Electric vehicle salary sacrifice scheme
Cycle to work scheme
Perkbox discounts
Employee assistance programme
Paid CSR Days
Company sick pay and income protection cover
Enhanced Maternity and Paternity pay
Employee recognition scheme
Eyecare vouchers
Discounted gym membership
Long service rewardsIf this sounds like the role for you, please apply today to be considered.

Candidates with the experience or relevant job titles of: Business Intelligence Lead, Business Intelligence Analyst, Business Intelligence Developer, Data Analyst, Data Scientist, Management Consultant, will also be considered for this role

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 Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

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

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.