At a Glance
- Tasks: Lead a team, analyse data, and create impactful insights for clients.
- Company: Dynamic consultancy specialising in geospatial and demographic datasets.
- Benefits: Competitive daily rate, hybrid work model, and mentorship opportunities.
- Other info: Opportunity to mentor junior engineers and grow your career.
- Why this job: Make a real difference by transforming data into strategic solutions.
- Qualifications: Strong Python skills and experience in data analytics consultancy.
A consultancy that works heavily with geospatial, demographic, mobility, and sales datasets to support strategic projects for their clients is looking for a Lead Data Consultant.
Key Responsibilities:
- Managing and mentoring two junior Data Engineers
- Gathering client requirements and translating them into technical solutions
- Analysing large datasets using Python
- 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
Skills and Experience:
- 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.
How to Apply:
Please register your interest by sending your CV to Mojola Coker via the apply link on this page.
Lead Data Consultant in Hertford employer: Harnham - Data & Analytics Recruitment
Join a forward-thinking consultancy in Hertfordshire that values innovation and collaboration, offering a dynamic work culture where your expertise as a Lead Data Consultant will be recognised and nurtured. With opportunities for professional growth through mentoring junior team members and engaging with diverse datasets, you will play a pivotal role in shaping strategic projects while enjoying the flexibility of a hybrid working model. The company fosters strong client relationships and encourages a supportive environment that promotes continuous learning and development.
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Consultant in Hertford
✨Tip Number 1
Network like a pro! Reach out to your connections in the data consultancy world, especially those who might know about opportunities at companies like the one you're eyeing. A friendly chat can sometimes lead to a foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or case studies, make sure to have them ready to share. Demonstrating your experience with Python and BI tools like Tableau can really set you apart during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on your client communication skills. Since you'll be advising clients and translating technical jargon, practice explaining complex concepts in simple terms. It’ll show you can bridge the gap between tech and business.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your application status!
We think you need these skills to ace Lead Data Consultant in Hertford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data analytics and any relevant projects you've worked on. We want to see how your skills align with the role of Lead Data Consultant, so don’t be shy about showcasing your Python prowess and BI tool experience!
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. Mention your experience in managing teams and working with geospatial datasets, and how you can bring value to our consultancy.
Showcase Your Communication Skills:Since you'll be advising clients and presenting findings, it's crucial to demonstrate your ability to communicate complex ideas simply. In your application, give examples of how you've successfully explained technical concepts to 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 applications better and ensures you don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of geospatial, demographic, and mobility datasets. Be ready to discuss how you've used Python for large-scale data analysis in previous roles. This will show that you can hit the ground running!
✨Showcase Your Mentoring Skills
Since you'll be managing junior Data Engineers, think of examples where you've successfully mentored or led a team. Prepare to share how you foster collaboration and growth within your team, as this is key for the role.
✨Communicate Like a Pro
Practice explaining complex technical concepts in simple terms. You’ll need to present findings to clients who may not have a technical background, so being able to break down your insights is crucial. Use relatable examples to demonstrate your points.
✨Familiarise Yourself with BI Tools
If you’ve worked with Tableau or Power BI, be prepared to discuss specific dashboards you’ve developed. Highlight how these tools helped in decision-making processes and how you can leverage them for the consultancy's projects.
