Workforce Information & Analytics Lead in Wigan

Workforce Information & Analytics Lead in Wigan

Wigan Full-Time 51750 - 63250 £ / year (est.) No working from home possible
A

At a Glance

  • Tasks: Lead workforce analytics, manage a team, and deliver impactful insights for decision-making.
  • Company: Join the Wrightington, Wigan & Leigh NHS Foundation Trust, a leader in healthcare innovation.
  • Benefits: Enjoy competitive pay, professional development, and a supportive work environment.
  • Other info: Opportunity for career growth in a dynamic and collaborative setting.
  • Why this job: Make a real difference in healthcare by transforming data into actionable insights.
  • Qualifications: Experience in workforce analytics and strong leadership skills required.

The predicted salary is between 51750 - 63250 £ per year.

Service Leadership and People Management
Lead the day-to-day delivery and development of the Workforce Information & Analytics service, translating organisational priorities into a clear work programme and reporting timetable. Line-manage, support and develop the Workforce Information Officer, including work allocation, objective setting, supervision, appraisal, wellbeing, performance and professional development. Set service standards, reporting principles and quality expectations and ensure outputs are delivered accurately and within agreed timescales. Prioritise competing operational, statutory and strategic demands, negotiating realistic timescales and escalating material risks where required. Work with the Head of Workforce Systems & Analytics and Workforce Systems Lead to maintain an integrated service with clear accountability for systems, data, information and analytics. Deputise for the Head of Workforce Systems & Analytics on workforce information and analytics matters as agreed.

Workforce Information and Analytical Insight
Lead the production, interpretation and presentation of complex workforce information for the Board, Executive Team, committees, People Services, Finance, divisions and operational services. Develop and maintain reporting frameworks, definitions, analytical methodologies and controls that support consistent and transparent workforce reporting. Undertake complex analysis of workforce trends, variances, relationships and risks, drawing together data from multiple sources where appropriate. Translate analysis into clear insight, options and evidence-based recommendations for technical and non-technical audiences. Provide specialist advice and constructive challenge where data is incomplete, conclusions are unsupported or proposed actions do not align with the evidence. Lead or quality-assure responses to complex ad hoc requests, Freedom of Information requests and organisational assurance requirements within the remit of the service. Ensure analytical products clearly state scope, definitions, limitations, assumptions and appropriate interpretation.

Workforce Planning, Forecasting and Modelling
Lead the development and delivery of workforce planning, forecasting, establishment analysis and scenario modelling across the Trust. Integrate workforce, finance, activity, productivity and service information to support medium- and long-term workforce planning. Develop analytical models that assess workforce supply, demand, affordability, vacancies, turnover, recruitment, retention and temporary staffing. Support organisational redesign, Cost Improvement Programmes, business cases and transformation programmes by modelling workforce impacts, risks and options. Work in partnership with Finance, HR and operational leaders to reconcile workforce plans, funded establishment and actual workforce deployment. Monitor delivery against workforce plans and provide insight on variances, emerging risks and corrective action.

Source Systems, Data Management and Data Quality
Lead the end-to-end source to insight process for workforce information, ensuring data is extracted, transformed, validated, documented and used appropriately. Use ESR or an equivalent HRIS, e-rostering, recruitment and other approved data sources to develop integrated workforce reporting and analysis. Work closely with the Workforce Systems Team on system changes, hierarchies, organisational structures and data-quality issues, while maintaining clear separation from technical system ownership. Establish and maintain controlled reporting datasets, data models, data definitions, data lineage and reproducible analytical processes. Lead data-quality improvement activity, including validation frameworks, reconciliation, exception reporting and action tracking. Quality-assure new or amended reports and analytical products before publication or implementation. Identify the implications of data limitations and advise stakeholders on proportionate use and interpretation.

Digital Reporting, Business Intelligence and Automation
Lead the design, development and maintenance of interactive workforce dashboards and self-service analytical products using Power BI, Qlik Sense or equivalent tools. Develop a prioritised roadmap for digital workforce reporting aligned with user needs, organisational priorities and available technology. Gather and translate business requirements into appropriate data models, measures, visualisations and reporting products. Use data-transformation and automation tools, including Power Query or equivalent, to improve efficiency, consistency and reproducibility. Lead user testing, validation, implementation, guidance and adoption of new reporting solutions. Monitor dashboard use, feedback and performance and use this evidence to inform continuous improvement. Evaluate emerging technologies, including automation and artificial intelligence, and support their responsible, secure and proportionate use within workforce analytics.

Information Governance, Assurance and Reporting Standards
Ensure workforce information is managed in accordance with data protection, information governance, confidentiality and records-management requirements. Develop and maintain appropriate access controls, version control, documentation and approval arrangements for workforce reporting products. Support internal and external audit, statutory reporting, assurance reviews and information requests within the remit of the service. Coordinate or quality-assure agreed national, regional and corporate workforce submissions and benchmarking information. Maintain an evidence base of reporting definitions, methodologies and decisions to support transparency and organisational assurance. Develop, implement and review Workforce Information and Analytics policies, reporting standards, definitions and procedures, including changes that affect services and stakeholders beyond the immediate Workforce Information and Analytics Team.

Stakeholder Advice, Communication and Partnership Working
Build effective relationships with senior leaders, HR, Finance, Workforce Systems, Digital, operational services and external partners. Present complex workforce information, risks and recommendations clearly in meetings, reports, dashboards and formal papers. Facilitate discussions with stakeholders to clarify analytical questions, agree definitions and identify appropriate measures of success. Provide specialist workforce information and planning advice to organisational programmes, committees and decision-making forums. Represent the Trust at relevant regional and national workforce information, analytics and planning networks. Promote the effective and responsible use of workforce data across the organisation.

Continuous Improvement and Professional Practice
Lead continuous improvement within Workforce Information & Analytics and identify opportunities to reduce duplication, manual processing and avoidable reporting burden. Benchmark service practice and analytical approaches and incorporate relevant learning into local methods and standards. Maintain specialist knowledge of workforce information, workforce planning, analytics, HRIS reporting and digital reporting developments. Develop analytical capability within the team through coaching, quality review, shared standards and structured learning. Contribute to apprenticeship, talent and succession planning opportunities within the service. Work autonomously within broad organisational objectives, professional standards and Trust policies, seeking direction where matters have significant organisational, legal or reputational implications.

Responsibility for Resources
The postholder is responsible for the effective management and development of the Trust's workforce information resources. This includes responsibility for ensuring workforce information is accurate, secure, appropriately governed and used effectively to support organisational decision making. Whilst the postholder does not hold direct budgetary responsibility, they will provide workforce intelligence and analytical modelling that informs financial planning, workforce investment decisions, establishment reviews and productivity programmes. The postholder will exercise professional judgement in determining analytical priorities, methodologies and reporting approaches, working with a high degree of autonomy and acting as the Trust's recognised specialist for Workforce Information & Analytics.

Workforce Information & Analytics Lead in Wigan employer: Allscreens Nationwide Ltd

Allscreens Nationwide is an exceptional employer, offering a supportive team culture where employees are valued and encouraged to thrive. With access to state-of-the-art training facilities and opportunities for career progression, our Automotive Glazing Technicians in Birmingham can expect not only competitive bonuses but also the chance to work with the latest technology in the industry. Join us and be part of a company that prioritises both employee well-being and customer satisfaction.

A

Contact Details:

Allscreens Nationwide Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Workforce Information & Analytics Lead in Wigan

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Allscreens Nationwide Ltd!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Workforce Information & Analytics Lead at Allscreens Nationwide Ltd.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Allscreens Nationwide Ltd.

Apply Directly through Our Website

When you find a suitable opening like Workforce Information & Analytics Lead at Allscreens Nationwide Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Workforce Information & Analytics Lead in Wigan

Workforce Information Management
Analytical Methodologies
Data Interpretation
Reporting Frameworks
Scenario Modelling
Data Quality Improvement
Power BI

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Allscreens Nationwide Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Allscreens Nationwide Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Allscreens Nationwide Ltd

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Allscreens Nationwide Ltd!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.