Data Analytics & Data Science Lead

Birmingham
8 months ago
Applications closed

Related Jobs

View all jobs

Informatics Data Science Lead

Informatics Data Science Lead - Supply Chain Strategy

Lead Data Scientist

Lead Data Scientist

Benefit Risk Management Center of Excellence Data Scientist

Benefit Risk Management Center of Excellence Data Scientist

Michael Page have exclusively partnered with The Government Property Agency (GPA) to support on their continued Data Transformation programmes. The newly created role of Data Analytics & Data Science Lead is pivotal in this strategy

Client Details

Government Property Agency

Description

Introduction:

Michael Page have exclusively partnered with The Government Property Agency (GPA) to support on their continued Data Transformation programmes. The newly created role of Data Analytics & Data Science Lead is pivotal in this strategy. The GPA is the largest property holder in government, with more than £2.1 billion in property assets and over 55% of the government's office estate.

The GPA are transforming the way the Civil Service works by creating great places to work, leading the largest commercial office programme in the UK, working towards halving carbon emissions from government offices, and achieving greater value for taxpayers. The team are seeking innovative, solutions-focused people to work on leading transformational programmes such as the Government Hubs Programme, Whitehall Campus Programme and Net Zero Programme, as well as delivering modern, cost-effective real estate service solutions.

Innovation and progress are at the heart of GPA behaviours, fostering a culture of lifelong learning, where curiosity and self-improvement are encouraged. The organisation is dedicated to becoming a leading, inclusive employer both in the external market and throughout the Civil Service. A strong emphasis on Equity, Diversity, and Inclusion (EDI) is not just about driving inclusion across our organisation, it is also about ensuring the services meet the needs of government departments and the civil servants work environments.

Job Overview:

Data analytics combined with Data Science can provide a transformational and powerful combination to support GPA's current and forward planning in key areas such as across Operations, Portfolio Performance, H&S, Risk Management and Sustainability. It provides essential actionable insights to support planning, decision making, scenario planning and predictive analytics.
Data analytics across the GPA is already providing a transparent, interactive interface to the large amount of data collected and processed in GPA. Because of the demand and high importance of data analytics & reporting, a lead role is needed to manage the portfolio of work and the velocity and variety of the data within GPA.
A number of exemplar PowerBI dashboards are already supporting business plan objectives and crucial reporting in areas such as Occupancy, Property Portfolio, Customer Satisfaction, Client Satisfaction, CRM Reporting, Sustainability etc.
Additionally, the GPA would benefit from developing capability in data science. This is closely related to data analytics, but with emphasis on developing new methods and insights from data facilitating improvements to our operational data analytics capability.
Work locations: Birmingham, Bristol, Leeds, Swindon, Nottingham or Manchester
Hybrid working arrangement - 2 days per week in the officeKey Responsibilities:

Support the delivery of GPA's Information & Data Strategy and wider reporting requirements.
Support the delivery of reporting & dashboard business KPI's, providing more focussed support to business critical dashboards and reporting
Responsible for leading a team of developers and monitoring their daily duties to ensure a high performing team, supporting and delivering against business outcomes.
Leading the data analytics team in design, development, testing and release to its intended audience.
Support the team with business engagement, hosting working group sessions to provide updates to all levels of the business.
Collaborate across GPA at all levels to gather requirements and produce new dashboards that will aid in their daily working duties for the GPA.Profile

Person Specification / Key Skills Criteria & Qualifications:

As a data driven organisation, a data analytics lead is essential to assure the organisation can devise approaches and systems to 'make sense' of the large volumes of data present in the organisation
The data analytics and science lead ensures that the GPA:
Engages and liaises across GPA to ensure Business Intelligence requirements are captured and understood
Has fully documented methods and approaches to create BI products updated
Has reliable and accurate Business Intelligence applications deployed as required by the business
Oversee the investigation / development of new methods for data analysis such as AI

Essential criteria:

Power BI, Azure, Redshift, Databases, Power Platform, Dev Ops, SQL
Design and development of Power BI artefacts and environments
Numerical analysis methods
Stakeholder management and consensus building
Working in an Agile development environment
Managing a team of software developers / engineers
A computer/analytics University degree

Desirable criteria:

Work prioritisation and scheduling to time and budget
People training & development
Using Agile development environments such as JIRA
Microsoft Accreditation for Data Analytics (DA-100)
Gold Standard: IT & Data Management - CITP / CsyPJob Offer

28.9% Government Pension Scheme + Excellent Benefits

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.

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.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.