Data Analyst – mid level
Gaist
- Manchester, England, United Kingdom
- Manchester, England, United Kingdom
About
This position is working within the professional services team. We use data to provide customers with the information they need to maintain their roads and other highway assets.This includes mapping spatial data through GIS, and the use of data analytical software tools.
The successful candidate will be supported by the Professional Services team and will be given the chance to develop their career with additional training. To broaden the skillset and knowledge, the postholder will be based at our head office in Skipton with other departments in the company such as sales, engineering and operations.
The role will require a mix of office-based and remote/online working.Gaist’s Professional Services team members are located in different locations throughout the UK.Occasional travel to other locations may form part of this role.
Key objectives of role: The main focus of the role is:
To provide technical expertise, advice and analysis to supply clients with the evidence and information that they need for the management of highway assets.
To be responsible for the collection, collation, management and analysis of data using specialist tools and the presentation of this data through the use of data visualisation tools.
To assist with the development of Professional Services analytical frameworks and modelling.
Skills, competencies and qualifications:
Qualified to degree level or with relevant skills/experience.
Strong numeric skills and some knowledge of probability and statistics, either demonstrated through academic qualifications or through interview
Experience with data and data management practices.
Excellent communication skills, using oral, written, and electronic media, so that information is clearly understood and acted upon by recipients.
Analytical thinking skills with attention to detail and accuracy in all aspects of work.
A willingness to explore alternative or innovative approaches to meeting customer requirements
Organised and flexible with an ability to prioritise own workload to varying deadlines.
Proactive with an ability to self-motivate and work to their own initiative when required.
Evidence of keeping an up-to-date technical knowledge and interpretation of work areas and awareness of current and emerging best practice policies and legislation.
An enthusiasm and commitment to continue learning and developing skills in
Statistics, machine learning and analytical programming
GIS
Asset management (in particular in the highways context)
Software Knowledge
Microsoft Office (Word, Excel, PowerPoint)
Knowledge of Google Suite
SQL (ideally with spatial extensions such as PostGIS)
At least 2 from the following:
GIS software (preferably QGIS)
Power BI
Python
Statistical packages (ideally R or Python statistical libraries)
Main responsibilities
Collect, assess, and transform client data as required to support projects such as lifecycle modelling and scheme programmes, ensuring data is validated for completeness and analysed for cleanliness.
Analyse, interpret, and disseminate complex data sets across a range of data management systems, and maintain the structures necessary for data storage.
Undertake specific data and information projects and initiatives, managing appropriate data collection exercises and analysing and reporting findings.
Produce, update and amend client reports, technical notes & business documentation.
Communicate complicated data and information on time and in the most appropriate and usable format to a wide range of audiences.Attend meetings and give presentations as appropriate to the role.
Gather, understand and document detailed business requirements using appropriate tools and techniques.Identify areas to increase efficiency and automation of processes.
Take responsibility for demonstrating the aims of the company’s equality and diversity objectives.
Understand and adhere to IT security and Data Protection Legislation.
Understand, embrace, and apply the departmental culture of continuous improvement, working closely with other departments on resolving issues.
Any other tasks which are deemed reasonable to achieve the overall business objectives.
Authorities: Role related as per the current Gaist Authorities Matrix
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Languages
- English
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