Transformation Business/Data Analyst

5 Star Recruitment
Uxbridge
6 days ago
Applications closed

Related Jobs

View all jobs

Transformation & Data Analyst — Shape Public Services

Senior Business Data Analyst

Business Data Analyst

Junior Data Analyst Apprenticeship

Data Analyst - Performance

Data Engineer

About the job Transformation Business/Data Analyst

JOB TITLE: Transformation Business/Data Analyst


ROLE PURPOSE:


The Business/Data Analyst will support key projects within the Councils transformation programme to identify, scope, design and deliver improvements to services and business processes across people, policy, systems, processes and governance.To develop projects, business plans and reports to support findings.


To promote continuous performance improvement across the Council by working with services as determined by performance information and project demand to streamline systems and processes in support of the Councils Transformation Programme.


Will work collaboratively with services and senior managers across the Council on the as-is and to-be process mapping and data analysis to support business change in teams to support new ways of working.


1. Resident & Community Contribution



  • To demonstrate understanding of the Councils Customer Care Standards and ensure that these standards are met in order to deliver the Council vision of putting our residents first.

2. People Management



  • No direct supervisory responsibility however may be requirement to establish and coordinate meetings and task and finish groups, and to assist in induction and training of peers and new employees.

3. Operational Service Delivery



  • Participate in Council transformation projects as required by the Director of Transformation and Business Change supporting analytical and statistical work and preparing reports and presentations for audiences at all levels.
  • Eliciting and gathering requirements (using interviews, statistical analysis, process mapping workshops, site visits, user cases, scenarios and task and workflow analysis) to support the introduction of new and replacement processes and systems in teams within the Council.
  • Bringing an understanding of lean and systems thinking to transformation business change
  • Able to identify, calculate and monitor benefits realisation and return on investment sound financial literacy
  • Defining reporting requirements and specifications.
  • Draws inferences from process details and link these to the big picture by considering business objectives when identifying process improvements.
  • Able to structure and analyse large amounts of information for use when redesigning processes.
  • Documenting as-is and to-be processes including mapping potential new processes and gaining agreement through the established governance structures within the Council for any process re-engineering required.
  • Conducting thorough data business analysis, including challenging perceptions and embedded thinking, to ensure that data requirements move the business forward and achieve outcomes.
  • Producing clear, concise and service design documentation, as-is and to-be process maps, business and project plans and reports etc.
  • Take ownership of key deliverables and develop viable solutions with to be processes, to resolve business issues.
  • Lead in testing the solutions, including leading in User Acceptance Testing (UAT), as required.
  • Lead in training provision arising from implementing solutions related to the projects, as required.
  • Maintaining a high level of knowledge and expertise within the Business/Data Analysis specialism.

4. Service Planning & Development



  • Maintain knowledge of the current Team Plan and understanding of own contribution in order to ensure delivery of this plan.
  • To demonstrate cost-consciousness and identify any cost effective changes to own way of working.

6. Service Improvement



  • To identify and suggest any improvements to current ways of working in order to deliver a more efficient and effective service for customers.

7. Contacts



  • Primary contact will be with other officers within the Council, Members, and service users / residents and their representative bodies.

8. Additional Responsibilities



  • Complete other reasonable tasks in order to fulfil role purpose or as instructed by management.

9. Key Performance Indicators



  • Delivery of the agreed Personal Performance Appraisal Objectives.

B. Person Specification


Business/Data Analyst


This person specification will be used for recruitment to the Business/Data Analyst vacancy in LBH. It will form the basis of the application form, and candidates will be also assessed against aspects of this person specification at interview.


1. QUALIFICATIONS


Degree in a relevant subject, or equivalent experience.


Evidence of continuing professional development.


2. STATUTORY or ROLE SPECIFIC REQUIREMENTS


Ability to work flexibly to meet the needs of the Service,


3. EXPERIENCE


Experience of delivering business process improvement within complex environments.


Experience of facilitating interviews, workshops and focus groups.


Experience of modelling processes within software applications (e.g. Microsoft Office and Visio).


Experience of working within a public sector organisation.


Experience in influencing, managing and negotiating with stakeholders, with the ability to communicate key messages across multiple areas of Council business. To remove obstacles to process design and development.


Experience with analytics platforms.


Experience of writing documentation including process maps, technical documentation and user guides for both technical and non-technical audiences.


Experience of working under lean approaches and project management across the project lifecycle.


4. KNOWLEDGE & SKILLS


Extensive knowledge of business process re-engineering improvement principles, tools and techniques.


Knowledge and understanding of how business processes can be improved


Excellent problem-solving skills and the ability to apply creative thinking to find effective solutions


Data preparation and visualisation (qualitative and quantitative data)


Working with complex data sets from different council services and awareness of performance monitoring/reporting


Strong IT skills and the ability to proficiently use Word, Excel, PowerPoint and Visio.


Proven ability to manage a range of projects through to completion


Proven written and oral communication and interpersonal skills with good negotiation and influencing skills and the ability to work collaboratively with internal and external partners/professionals.


5. COMPETENCIES


Residents and Community Focus


Putting Our Residents First'. Delivers the Customer Care Promise; is welcoming, helpful & polite. Engages, empathises and takes ownership. Gives clear information about service standards and timescales. Treats all customers and colleagues with dignity and respect.


Aware of Local Government purpose & Nolan principles including integrity, openness and honesty. Adopts a 'One Council' perspective on service delivery.


Accountability and Delivery


Plans, prioritise & organises workload to meet deadlines. Is quality orientated and accepts responsibility for outcomes (positive and negative).


Considers financial implications of service delivery. Cost-conscious, aware of budgetary controls and escalates decisions where appropriate.


Inspirational Collaboration


Engages with Council's vision and priorities and takes 'One Council' view. Actively listens and contributes to team meetings and decisions.


Takes responsibility for own development and wellbeing. Encourages constructive feedback and is self-aware of own strengths, wellbeing and development needs. Actively participates in learning activities and applies new knowledge and skills in the workplace.


Drives Change and Improvement


Solution focused, challenges existing practices and suggests new ways of doing things. Willing to try new things, accepts responsibility and learns from own mistakes


Remains positive and engages with change and service improvement. Remains open-minded to new ideas.


#J-18808-Ljbffr

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.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

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

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.