Principal Business Analyst

GMCA
Manchester
11 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Junior Data Scientist - AI Practice Team

Principal Data Scientist

Principal Machine Learning Engineer

Data Science Principal

Data Scientist


Your role:

  • Requirements capture by leading Requirements Workshops, collating customer feedback and summarising output in report(s)

  • Process review by developing AS-IS and TO-BE process maps based on Process workshops, reflecting customer views on process, and documenting the output

  • Report writing including Workshop outputs, formal specifications for IT systems, business cases, project briefs

  • Presenting analysis products to customers, including senior management, to engage and elicit feedback and support decision-making within the business

  • Market research for solution options based on customer requirements, developing this into an Options Appraisal for customer consumption

  • Working with Procurement to support solution design and options appraisal

  • Providing support to the customer(s) and Project Manager during UAT and implementation of a digital solution

  • Act as liaison between customer and core ICT team

  • To support projects from discovery through solution design to procurement and final handover

About you:

  • Good analytical skills with capability to manipulate data in order to better understand patterns and trends

  • Understanding of public services generally and local/regional government specifically

  • Good understanding of business analysis techniques including e.g MoSCoW

  • Strong analytical capacity with a high-level of written, numerical and presentation skills

  • Strong interpersonal / communication skills with an attention to detail

  • Degree/postgraduate qualification in a relevant subject OR minimum of two years' experience in a similar role

  • Experience of process re-engineering / business transformation

  • Experienced in the use of IT for data analysis and presentation (e.g. Excel, Visio)

  • Ability to communicate effectively the results of analysis to a variety of audiences using a variety of dissemination techniques

  • Experience of customer-centred design and agile practices to help deliver better user experience in ICT solutions

  • Exposure to working in a project environment with a need to report on progress, manage risks and issues


About us:

As an employer, the Greater Manchester Combined Authority (GMCA) is made up of a number of key Greater Manchester strategic functions and service providers including; Greater Manchester Fire and Rescue Service (GMFRS); Waste and Resources; Environment; Work and Skills; Research; Public Sector Reform; Police, Crime and Criminal Justice; Homelessness; the Greater Manchester Ageing Hub and the Commissioning Hub.


We value the diversity of our employees, and aim to recruit a workforce which reflects our diverse communities across Greater Manchester. We encourage applications from all suitably qualified individuals, irrespective of people's age, disability, Trans status and Non-binary identity, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex and sexual orientation. We have guidance in place to ensure that all applicants are treated fairly and consistently at every stage of the recruitment process, including the consideration of reasonable adjustments for people who have a disability.


To find out more about working for us please click here:https://www.greatermanchester-ca.gov.uk/


Our offer:

In return for your hard work, we offer our employees a competitive package as part of our offer that you can find out more about here:

Greater Manchester Combined Authority - Home | greater.jobs




Mandatory Information:

Artificial Intelligence (AI)

We embrace AI to enhance our operations and to innovate our services. However, we value human talent and are looking for passionate individuals to join our organisation. Please ensure you personally complete your application and read all the instructions carefully to maximise your chances of success.

Applications that rely too heavily on AI may be rejected during shortlisting, however we understand that AI may be used as a reasonable adjustment, if using AI to support your application, please give a brief explanation why to help ensure fair selection process.

Privacy Notice(Click here)

Employees on the redeployment register will be given priority for any vacancies in the first instance. If employees are identified as a match from the register then the vacancy may be withdrawn or put on hold pending an outcome.

For this opportunity, you must be able to prove you have the right to work in the UK - if in doubt please visit the following linkEmployers' right to work checklist - GOV.UK (www.gov.uk). Please note we are not a licenced sponsor.


Hybrid working

This role is part of GMCA’s hybrid working scheme. As part of our commitment to ‘Build Back Fairer’ in Greater Manchester following the Covid-19 pandemic, we have evolved our management methods by trusting and empowering staff to deliver their work in the best way that suits the business and their individual needs, and supports health and wellbeing. Our hybrid working policy sets out a flexible approach, combining attendance at our [Manchester city centre office / Fire and Rescue service HQ in Swinton / other location] with remote working, typically from home; the location of work is primarily dictated by the needs of the business: ‘Do what is right for you and the business on that day’. If appointed to the role you will work with your manager to agree and regularly review the best working pattern for you, your team and your work.



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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.