At a Glance
- Tasks: Lead a team, manage data projects, and create impactful insights for clients.
- Company: Dynamic consultancy specialising in geospatial and demographic data.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Mentorship opportunities and a collaborative work environment.
- Why this job: Make a difference by transforming data into strategic solutions for clients.
- Qualifications: Experience in data analytics, strong Python skills, and client communication.
The predicted salary is between 60000 - 80000 € per year.
HYBRID (2 DAYS PER WEEK IN THE OFFICE - HERTFORDSHIRE) 3 MONTH CONTRACT
THE COMPANY: Join a consultancy who works heavily with geospatial, demographic, mobility, and sales datasets to support strategic projects for their clients.
THE ROLE: As a Lead Data Consultant, your key responsibilities will include:
- Managing and mentoring two junior Data Engineers
- Gathering client requirements and translating them into technical solutions
- Working with geospatial, demographic, mobility, POI, and sales datasets
- Advising on cloud-based data warehouse architecture and secure data storage
- Creating insights and presenting findings to clients
- Setting up collaborative analytical environments with version-controlled and peer-reviewed code
- Developing and deploying dashboards using BI tools such as Tableau and Power BI
- Building strong client relationships and communicating technical concepts to non-technical stakeholders
YOUR SKILLS AND EXPERIENCE: The successful candidate will have:
- Previous experience working within a data analytics consultancy environment
- Strong Python experience for large-scale data analysis
- Experience working with geospatial and demographic datasets
- Exposure to data architecture and cloud-based data warehousing
- Experience using BI tools such as Tableau or Power BI
- Experience managing or mentoring junior team members
- Strong stakeholder management and client-facing communication skills
- The ability to explain analytical logic and technical outputs to non-technical audiences
- Any experience within retail, category management, or petrol/fuel analytics would be highly beneficial.
Lead Data Consultant employer: Harnham
As a Lead Data Consultant at our consultancy in Hertfordshire, you will thrive in a dynamic and supportive work culture that values collaboration and innovation. We offer a hybrid working model, competitive remuneration, and opportunities for professional growth, ensuring you can develop your skills while making a meaningful impact on strategic projects. Join us to work with cutting-edge datasets and be part of a team that prioritises mentorship and client relationships, making it an excellent place for those seeking rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Consultant
✨Tip Number 1
Network like a pro! Reach out to your connections in the data consultancy world, especially those who work with geospatial and demographic datasets. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experience with Python, BI tools like Tableau or Power BI, and any cool projects you've worked on. This will help you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your stakeholder management skills. Be ready to explain complex data concepts in simple terms, as you'll need to communicate effectively with non-technical clients.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can give you a better chance of landing that Lead Data Consultant role.
We think you need these skills to ace Lead Data Consultant
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Lead Data Consultant. Highlight your experience with geospatial and demographic datasets, and don’t forget to mention your Python skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've managed teams or worked with BI tools like Tableau and Power BI. Let us know what excites you about working with us!
Showcase Your Communication Skills:As a Lead Data Consultant, you'll need to communicate complex ideas clearly. In your application, demonstrate your ability to explain technical concepts in simple terms. We love seeing candidates who can bridge the gap between data and non-technical stakeholders!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and let us see your amazing skills!
How to prepare for a job interview at Harnham
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of datasets mentioned in the job description, like geospatial and demographic data. Brush up on your Python skills too, as you'll likely be asked to demonstrate your ability to handle large-scale data analysis.
✨Showcase Your Mentoring Skills
Since the role involves managing and mentoring junior Data Engineers, be prepared to discuss your previous experiences in this area. Think of specific examples where you’ve successfully guided others or contributed to their development.
✨Communicate Like a Pro
You’ll need to explain complex technical concepts to non-technical stakeholders. Practice simplifying your explanations and use relatable analogies. This will show that you can bridge the gap between technical and non-technical audiences effectively.
✨Prepare for Client Interaction Scenarios
Expect questions about building client relationships and gathering requirements. Prepare some scenarios where you’ve successfully navigated client interactions, focusing on how you translated their needs into actionable solutions.
