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For Companies At a Glance
- Tasks: Analyse data, ensure quality, and support product development with innovative solutions.
- Company: Friendly and dynamic team that values collaboration and new ideas.
- Benefits: 25 days holiday, lifestyle allowance, free parking, and flexible working options.
- Why this job: Make a real impact on data-driven projects while enjoying a supportive work culture.
- Qualifications: Experience in data analysis, GIS, SQL, and Python required.
- Other info: Opportunities for training, career progression, and team-building events.
The predicted salary is between 28800 - 48000 £ per year.
What it's like to work at Landmark:
We're a friendly, dynamic and supportive team. We encourage passion, ambition and collaboration, both in our performance as a team and individually. New ideas are encouraged. We actively promote involvement in the development and direction of our products and services, as well as finding more efficient ways to work. We also love a good work social and team building events.
As well as this we offer:
- 25 days’ holiday, with optional 5 days unpaid leave per year
- Free parking
- Annual lifestyle allowance of £300 to put towards an activity of your choice
- Cycle to Work scheme and Gym Flex scheme
- Internal coaching/mentoring system throughout your time here
- Focus on training and career progression
- Family friendly policies
- Happy to talk about flexible working
The Opportunity:
The Data Analyst is the subject matter expert for a set of datasets that underpin Landmark’s many products and services. You will be responsible for ensuring the quality and currency of the datasets as well as providing support to the wider business on the subject matter.
As the dataset owner you will have the scope to identify and implement any efficiencies whilst performing maintenance activities on the datasets, collaborating with colleagues to share ideas and experiences. You will also be required to support wider team and company improvements and initiatives such as Cloud migration. In addition, the team also gets involved in project work where you may be asked to contribute based on your technical or domain expertise.
About You:
The Data Analyst will be inquisitive with a desire to understand and resolve problems. You will also be an effective communicator, with the ability to plan, allocate and manage work for yourself and junior team members. You will also have/be:
- A qualification in GIS or Data related discipline or equivalent professional experience
- Practical experience of working in a data analysis or data curation role
- Practical experience of authoring ETL/ELT processes following current best data governance practises, of problem-solving, and finding efficiencies in already existing data pipelines using technologies such as FME Form/Flow
- Knowledge and experience of languages such as SQL and Python
- Practical experience of database technologies such as Oracle, SQL Server or PostgreSQL/GIS
- Experience in public or private cloud based data tooling & storage experience
Data Analyst employer: Landmark Information
Contact Detail:
Landmark Information Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at Landmark on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini portfolio showcasing your data analysis projects, especially those involving SQL or Python. Bring it along to interviews to demonstrate your expertise and problem-solving abilities.
✨Tip Number 3
Be ready to discuss your ideas! Landmark loves new concepts, so think about how you can improve their datasets or processes. Share your thoughts during interviews to show you're proactive and innovative.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Landmark team.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Analyst role. Highlight your qualifications in GIS or data-related disciplines, and don’t forget to mention any practical experience with SQL, Python, or ETL processes.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data analysis and how you can contribute to our team. Share specific examples of how you've resolved problems or improved efficiencies in past roles to show us what you bring to the table.
Show Off Your Communication Skills: As an effective communicator, it’s important to demonstrate this in your application. Use clear and concise language, and make sure to explain your thought process when discussing your experiences. We want to see how you can plan and manage work effectively!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our friendly and dynamic team!
How to prepare for a job interview at Landmark Information
✨Know Your Data
Make sure you brush up on your knowledge of data analysis and the specific datasets relevant to the role. Familiarise yourself with GIS concepts and any tools mentioned in the job description, like SQL and Python. Being able to discuss these confidently will show your passion and expertise.
✨Show Your Problem-Solving Skills
Prepare examples of how you've tackled data-related challenges in the past. Think about times when you identified inefficiencies in data processes or improved data quality. This will demonstrate your inquisitive nature and ability to resolve issues effectively.
✨Communicate Clearly
As an effective communicator, practice explaining complex data concepts in simple terms. You might be asked to explain your thought process during the interview, so being clear and concise will help you stand out. Remember, it's not just about what you know, but how you share that knowledge.
✨Be Ready to Collaborate
Since the role involves working with a team, think about how you've collaborated in previous roles. Be prepared to discuss how you can contribute to team improvements and initiatives, especially regarding cloud migration or project work. Highlighting your teamwork skills will align well with their supportive culture.
