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- Tasks: Drive innovative GIS projects and create cutting-edge data solutions.
- Company: Join a rapidly growing data solutions provider focused on innovation.
- Benefits: Enjoy competitive pay, flexible hybrid work, and exciting project opportunities.
- Why this job: Be part of a dynamic team shaping the future of data analytics and geospatial technology.
- Qualifications: 3-5 years in advanced data analysis with strong GIS and technical skills required.
- Other info: Work centrally in England with major clients on high-profile projects.
The predicted salary is between 34000 - 50000 £ per year.
This is an exceptional opportunity for a senior GIS/Analytics professional to join an innovative data led solutions provider at a time of significant growth. You will be responsible for driving forward key data/modelling projects and designing innovative GIS & Geospatial in addition to supporting the wider development of cutting edge data products.
For success in this role will need to have excellent technical data & GIS expertise with the ability to understand technical requirements whilst supporting the creation of sophisticated data analysis and relevant insight.
Selection of responsibilities:
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Support delivery of technical data projects: understand needs, scope, design, develop and implement solutions – based on FME, geospatial data analytics, data management and data integration.
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Design, develop and implement cutting edge data solutions based on automation, geospatial data analytics, data intergration, and data science to produce meaningful insights from data and improve decision making.
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Writing formal technical, functional and user documentation for acceptance by third parties.
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Proactively Identify opportunities for efficiency improvements and developing innovative data products and offerings.
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Experience, operating in an advanced data analysis role (3-5 years)specifically including a strong thread of geospatial data manipulation projects throughout
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Experienced of data integration and solutions development, involving automating complex technical workflows, spatial ETL, spatial analytics, spatial data collection, validation, and management including data standards and metadata.
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Commercial awareness, ability to reach the key "so what" messages from analysis in a way that people understand and can take tangible actions from
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Experienced using a range of analytical applications, BI & ETL tools (Tableau, Power BI etc.)
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Experienced with GIS software, for example QGIS, ESRI, MapInfo * Some experience and knowledge of coding languages and scripting
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Experienced with databases, SQL, optimisation, the relational model (PostGRES/PostGIS is highly desirable)
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Excellent attention to detail, inquisitive, creatively solves problems
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Strong interpersonal, writing and organisational skills.
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Track supporting major clients on high profile strategic projects., * Data Analysis
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SQL
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Geospatial Data
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GIS systems
The successful candidate will be rewarded with a competitive remuneration and flexible working regime, hybrid working with c1 day week project meeting, usually central England. Salary £40,000 – £50,000 (neg – dependent level & relevance of experience) + benefits.
GIS Specialist employer: MSA Data Analytics Ltd
Contact Detail:
MSA Data Analytics Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GIS Specialist
✨Tip Number 1
Make sure to showcase your experience with geospatial data manipulation projects. Highlight specific examples where you've successfully implemented solutions using tools like FME or GIS software such as QGIS or ESRI.
✨Tip Number 2
Demonstrate your ability to automate complex technical workflows. Share instances where you've used ETL processes or spatial analytics to improve efficiency and decision-making in previous roles.
✨Tip Number 3
Emphasize your commercial awareness by discussing how your data analysis has led to actionable insights for clients. Be prepared to explain the 'so what' of your analyses in a clear and understandable way.
✨Tip Number 4
Highlight your interpersonal and organizational skills, especially if you've worked on high-profile strategic projects. Being able to communicate effectively with clients and team members is crucial in this role.
We think you need these skills to ace GIS Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in GIS and data analysis. Focus on specific projects where you've used geospatial data manipulation, automation, and data integration. Use keywords from the job description to align your skills with what the company is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background in GIS and data analytics makes you a perfect fit. Mention any relevant tools and technologies you have experience with, such as QGIS, ESRI, or SQL.
Showcase Technical Skills: Be sure to detail your technical skills in your application. Highlight your proficiency with analytical applications like Tableau or Power BI, and any coding languages or scripting knowledge you possess. This will demonstrate your capability to handle the technical requirements of the role.
Provide Examples of Problem Solving: Include specific examples in your application that showcase your problem-solving abilities. Describe situations where you identified opportunities for efficiency improvements or developed innovative data products. This will illustrate your proactive approach and creativity.
How to prepare for a job interview at MSA Data Analytics Ltd
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with GIS software like QGIS or ESRI, and how you've applied these tools in past projects. Highlight specific examples of data integration and automation workflows you've developed.
✨Demonstrate Problem-Solving Skills
Prepare to share instances where you've creatively solved complex problems in data analysis or geospatial data manipulation. This will showcase your inquisitive nature and attention to detail.
✨Communicate Insights Effectively
Practice explaining technical concepts in a way that is easy for non-technical stakeholders to understand. Use examples from your previous work to illustrate how your analyses led to actionable insights.
✨Highlight Your Project Management Experience
Discuss your role in managing data projects, including how you scoped, designed, and implemented solutions. Emphasize your ability to track progress and support major clients on strategic projects.