Data Analyst (Estate Services)

Exeter; Exeter; Hybrid; GBP 34,000 - 35,000; Full time

Benefits offered by this job

Flexible working

Gym on campus

41 days leave per year

Job summary

University of Exeter's Estates Services seeks a Data Analyst to join the Digital Estates team on a full-time fixed-term basis for one year, starting immediately. You will design data pipelines, build dashboards, and transform diverse data sources into actionable insights for space management, asset performance, and sustainability.

The role emphasizes data quality, analytics, and governance, with collaboration across stakeholders to support Net Zero, Campus Digital Twin, and Smart Campus

Qualifications

• Experience designing and delivering data pipelines (ETL/ELT).
• Strong Python and/or SQL for data processing.
• Experience integrating data from multiple sources into analytic datasets.
• Experience developing dashboards with Power BI.
• Experience with structured datasets and data quality controls.
• Ability to document and maintain data workflows for transparency.

Responsibilities

• Design, build, and maintain data pipelines from multiple sources.
• Maintain high-quality, structured datasets for reporting.
• Develop dashboards and reports using Power BI.
• Apply analytics using Python/SQL/R to identify trends.
• Work with engineers to integrate data from building systems.
• Support information management across asset lifecycle per standards.
• Collaborate on Net Zero, Campus Digital Twin, and Smart Campus initiatives.
• Promote data governance and repeatable workflows.
• Support training to improve data literacy across Estates Services.

Skills

Python

SQL

Data pipelines

Data analytics

Data quality

Stakeholder collaboration

Education

BSc/MSc in Data Analytics or related

Tools

Power BI

Git

Job description

About The Role

Data Analyst

Thisfull-time fixed termpost is availablefrom immediatelyfor a period of one year.Applications for secondments will be considered subject to agreement from your current line manager.

The starting salary will be from £33,951 to £34,610 per annum on Grade E, depending on knowledge, skills and experience.Please note there will be no possibility to negotiate above this range.

Summary of the role

Please ensure you read the Job Description and Person Specification for full details of this role by clicking on the attachment.

About Us:

Join our dynamic Estates Services team at the University of Exeter, where we are committed to creating a sustainable and efficient campus environment. Our department plays a vital role in managing and improving the University's physical estate, contributing to the achievement of our strategic goals, including sustainability and operational excellence. As a member of our team, you'll be part of an innovative and supportive community working towards making a positive impact on our campus and beyond.

The Role:

Are you passionate about data analytics and data engineering and interested in applying these skills within the built environment?

We are seeking a Data Analyst to join our Digital Estates team, where the primary focus of the role is on data integration, analytics, and reporting. You will design and maintain data pipelines that bring together information from multiple sources - including asset data, space data, operational systems, and BIM models - and transform it into insights that support decision-making across the estate.

You will work on developing structured datasets, dashboards, and analytical outputs that support space management, asset performance, compliance reporting, and sustainability objectives. BIM forms part of the data landscape you will work with, but the role is fundamentally about data quality, analytics, and insight generation rather than model authoring.

You will collaborate with a wide range of stakeholders and contribute to strategic initiatives such as the Net Zero programme, Campus Digital Twin, and Smart Campus projects.

Key Responsibilities:

• Design, build, and maintain data pipelines and workflows that integrate data from multiple sources, including operational systems, space and asset registers, BIM datasets, and other digital platforms.
• Maintain high-quality, well-structured datasets that support operational reporting, performance analysis, and institutional returns (e.g. HESA EMR, TRAC).
• Develop dashboards and analytical reports using Power BI to support planning, performance monitoring, compliance, and decision-making.
• Apply data analytics techniques using Python, SQL, or R to identify trends, inefficiencies, and opportunities across the estate.
• Work with engineers and system owners to integrate data from building systems (e.g. BMS, meters, sensors) into analytical workflows.
• Support information management across the asset lifecycle by ensuring data aligns with agreed standards and classifications (e.g. ISO 19650, Uniclass, SFG20, COBie).
• Collaborate with Digital Estates colleagues to support structured information handover from projects into operational systems.
• Promote good practice in data governance, documentation, and repeatable workflows.
• Support training and engagement activities to improve data literacy across Estates Services.

About You:

You are a data-focused professional who enjoys working with complex datasets and building reliable, repeatable data workflows. You are comfortable translating business questions into analytical outputs and communicating insights to non-technical audiences.

You may have experience in estates, property, infrastructure, energy, or another data-rich sector, and are motivated by the opportunity to apply data analytics to real-world operational and sustainability challenges.

Qualifications and Experience:

Essential:

• A BSc or MSc in Data Analytics Data Science, Computer Science, Software/Data Engineering, Information Systems, Business Analysis Statistics/Mathematics, or an Engineering discipline relevant to the built environment (e.g., Building Services, Civil, Mechanical, Electrical).
• Experience in a data analyst or data engineering role involving the design and delivery of data pipelines (ETL/ELT), including data ingestion, transformation, validation, and reporting.
• Strong skills in Python and/or SQL for data processing, automation, and building repeatable data workflows.
• Experience integrating data from multiple source systems (e.g. operational systems, asset registers, project data or spatial datasets) into structured analytical datasets.
• Experience developing and maintaining dashboards and reports using Power BI (or equivalent tools) to support operational and strategic decision-making.
• Experience working with structured datasets, applying data standards, classifications, and quality controls to ensure consistency, traceability, and reliability.
• Ability to document and maintain data workflows and transformations to support transparency, auditability, and reuse.

Desirable:

• Experience building or supporting cloud-based or hybrid data platforms, including data warehouses or lake-style architectures (e.g., AWS or equivalent).
• Familiarity with data orchestration or scheduling tools (e.g. Airflow, NiFI, Node Red or similar) to support automated ETL/ELT workflows.
• Experience implementing data quality checks, validation rules, and monitoring within data pipelines.
• Exposure to version-controlled data development using tools such as Git and basic CI/CD practices.
• Experience working with built-environment or estates data, such as asset registers, space data, building systems, or project delivery information.
• Awareness of structured data standards and classifications relevant to estates and infrastructure (e.g. ISO 19650, Uniclass, COBie, SFG20).
• Experience integrating or analyzing data from operational systems such as CAFM, BMS, energy, or sensor platforms.
• Awareness of sustainability, carbon, or ESG reporting and how data supports these outcomes.

The University of Exeter

We are a member of the prestigious Russell Group of research-intensive universities and in the top 150 universities in the world (Times Higher Education World University Rankings 2022 and QS World University Ranking 2022). We combine world-class teaching with world-class research, achieving a Gold rating in the Teaching Excellence Framework Award 2017.

Our research income in recent years means we're the fastest growing UK Research University with some of the world’s most influential scientists, and we seek to answer some of the fundamental issues facing humankind today through this. We encourage proactive engagement with industry, business and community partners to enhance the impact of research and education and improve the employability of our students. Read about our world leading research – Green Futures and how we are transforming education for a changing world. We are located in a beautiful part of the country and Exeter (a fast growing tech hub) is one of only a few UK cities to have been designated as a UNESCO Creative City

Our Equality, Diversity and Inclusion Commitment

With over 27,000 students and 6,400 staff from 180 different countries we offer a diverse and engaging environment where our diversity is celebrated and valued as a major strength. We are committed to creating an inclusive culture where all members of our community are supported to thrive; where diverse voices are heard through our engagement with evidence-based charter frameworks for gender (Athena SWAN), race equality (Race Equality Charter Mark), LGBTQ+ inclusion (Stonewall Diversity Champion) and as a Disability Confident employer. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented within our working community. Reasonable adjustments are available for interviews and workplaces.

Benefits

We offer some fantastic benefits including:

• 41 days leave per year (prorated)
• options for flexible working
• numerous discounts at leading retailers
• onsite gyms on all of our campus' and a cycle to work scheme
• sector leading policies around maternity, adoption and shared parental leave (up to 26 weeks full pay), paternity leave (up to six weeks full pay) and a new Fertility Treatment Policy
• stunning campus environments in Exeter and Cornwall, in the beautiful South West of England

Further information

Please contact Leejo Johney, [e-mail]

Additional background screening will be required for this role.

The University of Exeter is an equal opportunity employer. We are officially recognised as a Disability Confident employer and an Athena Swan accredited institution. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce.

About Us

Transform Your Career and Help Shape a Greener, Healthier, and Fairer Future

We are committed to understanding different cultures and perspectives, supporting diverse leadership, and striving for social justice. We encourage applications from all groups underrepresented in our community, including racially minoritised individuals and those with disabilities. Our inclusive, merit based recruitment processes seek to embrace a diverse set of experiences to ensure colleagues feel supported equitably. With over 30,000 students and 7,000 staff from 150 countries, we foster a culture where everyone can thrive.

Why our colleagues love working here

• Flexible working opportunities and leading parental leave initiatives
• Generous annual leave (39-41 days including bank holidays)
• Competitive pension contributions
• A genuine dedication to supporting the health and wellbeing of all colleagues – see initiatives here
• Sustainability and the environment being at the heart of what we do