Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead GIS and Geospatial Data Analyst

Neath Port Talbot County Borough Council
Neath Port Talbot
1 month ago
Create job alert

Lead GIS and Geospatial Data Analyst

Job description

Contract: 2 Year Fixed Term (with the option to extend)


Hours: 37hrs


Working Style: Your workstyle will be a mobile hybrid worker in this role which gives you the flexibility to work from home and from a variety of Council workplaces.


We are currently seeking an enthusiastic, data-driven and passionate GIS expert to join our Data team as a Lead GIS and Geospatial Data Analyst.


You will be joining a new and growing team of data specialists, with a big commitment and drive to implement data standards, improve data quality and bring data to life for the council.


The team are currently delivering several exciting and high-profile projects, bringing people and data together, linking critical data sets to give a holistic view of our residents and the businesses we work with.


As a Lead GIS and Geospatial Data Analyst, you will lead the development and implementation of enterprise GIS infrastructure, data management, and analysis functions so that the council can fully understand, link and view our geospatial data, maximising the benefits for our residents and service areas.


You will define and implement standards and formats for geospatial data and metadata, maintaining a metadata repository for our geospatial data assets, developing and implementing a robust geospatial data flow from various applications into our main data warehouse using ETL tools, support data owners to maintain their data at high quality and be instrumental to the development of visualisation and analysis data products.


This role is fixed term for 2 years with an option to extend.


About you:


Do you have:

Extensive experience of managing geospatial data across varied domains such as highways, environment, public protection, utilities, land management, and planning, with a focus on enterprise-scale implementation and stakeholder engagement.


Extensive experience in designing, building, testing and maintaining of geospatial data pipelines, including automated ETL processes,
The ability to integrate diverse data sources into cloud-hosted spatial data warehouses.
Extensive experience of working with national and local geographic datasets including Ordnance Survey, Office for National Statistics, Local Land and Property and National Street Gazetteers.
Significant experience of working with multidisciplinary teams to gather user requirements for geospatial data and apply them to the design of data products to support service delivery.
Advanced knowledge of spatial databases (especially PostgreSQL/ PostGIS), data modelling, and cloud-based data architecture.
Courage to think outside the box and find solutions where others may see a barrier.

We would welcome those with experience in the following roles: Senior GIS consultant; GIS Specialist; GIS program Lead; geospatial analytics manager;


Transforming Digital Services in Neath Port Talbot:


Neath Port Talbot&s vision is to ensure all children get the best start in life; all communities are thriving and sustainable; our local environment, culture and heritage can be enjoyed by future generations; and for our local people are skilled and can access high quality, green jobs.


This is an exciting time to be joining the Digital Services Division as we&re working to transform the Neath Port Talbot experience for all our citizens, businesses, staff and visitors through the best use of Digital, Data and Technology (DDaT).


To deliver the change required, we&ve reset the entire Digital Services staffing structure, aligning to the DDaT profession capability framework, ensuring we have modern and fit for purpose job descriptions focusing on the rights skills and abilities. 


About us:


We believe in rewarding and recognising our colleagues& efforts and achievements. We also believe that there&s life at work and life outside of work. We want everyone to be healthy and happy and have the financial resources and support they need.


Choose to work for us and you&ll be rewarded with a range of attractive benefits and support to help you live your best life.

Hybrid working (in some roles) and flexible working schemes to improve your work life balance


Benefit from a competitive employee package with a remarkable 22.4% employer pension contribution
Enjoy a holiday entitlement of 25 days, increasing to 32 days after 5 years& service (not forgetting the additional 8 bank holidays too)
Access discounted gym membership with Celtic Leisure
Utilise the cycle to work scheme with up to 40% off bikes and cycling equipment
Purchase a new car through Tusker salary sacrifice scheme
Enjoy exclusive discounts at local and national retailers with the Smart Spend app through our staff wellbeing group.

If you would like to start a rewarding career with a company that values and invests in its employees and you have the necessary experience and qualifications, this could be your dream job and we would love to hear from you.


The process:


Applicants must attach a current CV to their application. Within the same document, also include a separate covering letter (of no more than two sides of A4) explaining why you are interested in the position and provide suitable evidence to meet the essentials in the person specification.


For an informal discussion,

Related Jobs

View all jobs

Data Analyst - PowerBi, ArcGIS & Water Resources

Data Analyst - PowerBi, ArcGIS & Water Resources

Data Analyst - PowerBi, ArcGIS & Water Resources

Data Analyst - PowerBi, ArcGIS & Water Resources

Data Analyst - PowerBi, ArcGIS & Water Resources

Data Analyst - PowerBi, ArcGIS & Water Resources

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 Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.