At a Glance
- Tasks: Lead and mentor junior Data Engineers while delivering innovative geospatial analytics solutions.
- Company: Harnham, a top consultancy in the UK with a supportive team culture.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Join a dynamic team for a 3-month contract with excellent career prospects.
- Why this job: Make a real impact by transforming client data into actionable insights.
- Qualifications: Strong Python skills and experience with BI tools like Tableau and Power BI.
The predicted salary is between 60000 - 80000 £ per year.
Harnham, a leading consultancy in the UK, is seeking a Lead Data Consultant to work hybrid in Hertfordshire. This role involves managing and mentoring junior Data Engineers while translating client requirements into technical solutions using geospatial and demographic data.
Strong Python skills and experience with BI tools like Tableau and Power BI are essential. The successful candidate will have a proven track record in a consultancy environment, advising clients on data architecture and creating valuable insights.
This is a 3-month contract with a dynamic and supportive team.
Senior Data Consultant - Geospatial Analytics & Cloud DW employer: Harnham Search & Selection
Harnham is an exceptional employer that fosters a dynamic and supportive work culture, perfect for those looking to thrive in the field of data consultancy. With a strong emphasis on employee growth, you will have the opportunity to mentor junior Data Engineers while working with cutting-edge geospatial analytics and cloud data warehousing solutions. Located in Hertfordshire, our hybrid work model offers flexibility and a collaborative environment, making it an ideal place for professionals seeking meaningful and rewarding employment.
Contact Details:
Harnham Search & Selection Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Consultant - Geospatial Analytics & Cloud DW
✨Tip Number 1
Network like a pro! Reach out to your connections in the data consultancy world, especially those who work with geospatial analytics. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and BI tools like Tableau and Power BI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common consultancy scenarios. Think about how you've translated client requirements into technical solutions in the past. We want to hear your success stories!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Consultant - Geospatial Analytics & Cloud DW
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Consultant role. Highlight your experience with geospatial analytics and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Python Skills:Since strong Python skills are essential, don’t forget to mention specific projects or tasks where you’ve used Python effectively. We love seeing real examples of how you’ve applied your coding skills in a consultancy setting.
Highlight Your Consultancy Experience:We’re keen on candidates with a proven track record in consultancy. Share your experiences advising clients and translating their needs into technical solutions. This will help us understand how you can contribute to our dynamic team.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure you’re considered for this exciting opportunity!
How to prepare for a job interview at Harnham Search & Selection
✨Know Your Geospatial Stuff
Make sure you brush up on your geospatial analytics knowledge. Be ready to discuss how you've used geospatial and demographic data in past projects. Prepare examples that showcase your ability to translate client requirements into technical solutions.
✨Show Off Your Python Skills
Since strong Python skills are essential for this role, be prepared to talk about specific projects where you've used Python. If possible, bring along a portfolio or code snippets that demonstrate your expertise. This will help you stand out as a candidate who can hit the ground running.
✨Familiarise Yourself with BI Tools
Get comfortable with BI tools like Tableau and Power BI. You might be asked to explain how you've used these tools to create insights from data. Consider preparing a mini-case study or example of a dashboard you've built to illustrate your experience.
✨Mentorship Mindset
As this role involves managing and mentoring junior Data Engineers, think about your leadership style. Be ready to share experiences where you've guided others or contributed to team development. Highlighting your mentorship skills will show you're not just a tech whiz but also a great team player.
