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For Companies At a Glance
- Tasks: Lead the design and delivery of impactful data products.
- Company: Join a forward-thinking company that values data-driven decisions.
- Benefits: Enjoy hybrid working, flexible hours, and a supportive team culture.
- Why this job: Make data accessible and actionable while working on innovative projects.
- Qualifications: Experience in analytics or data engineering with skills in Python and data tools.
- Other info: Bonus points for knowledge of cloud tools like AWS or Databricks.
The predicted salary is between 48000 - 72000 £ per year.
The Role
My Client is seeking a Senior Analytics Engineer to join their growing Data & Analytics team. This is a key role where youll lead the design and delivery of data products that drive real business value. Youll build scalable models, lead small agile teams, and help shape the cloud and AI strategy.
From enabling self-service reporting to mentoring other team members, you'll play a big part in how data is used across the business. If you're passionate about making data accessible, actionable, and high quality this is the role for you.
The Person
Youre an experienced analytics professional who knows how to turn complex data into insight. Youre confident with a range of tools and enjoy solving problems, building solutions, and helping others grow.
What youll bring:
- Previous experience in analytics or data engineering roles.
- Strong skills in technologies like Python, Alteryx, Tableau, QlikSense, or SSRS.
- Experience building reusable data models and end-to-end data solutions.
- Great communication you can explain technical stuff to non-technical people.
- A proactive, collaborative mindset and a strong eye for detail.
Bonus points for:
- Knowledge of cloud tools like AWS, Databricks, or Snowflake.
- Strong experience with Python or Spark
The Benefits
- Make a real impact in a business that values data-led decision making.
- Hybrid working and flexible hours for better work-life balance.
- A collaborative, supportive team culture with lots of learning opportunities.
- Work on innovative projects using the latest data and cloud technologies.
For further information on this vacancy, or any other Technology roles in Belfast, please apply via the link below or contact Justin Donaldson in the strictest confidence on
Skills:
Python, Power BI, Qlik, Tableau
Analytics Engineer employer: Hayward Hawk
Contact Detail:
Hayward Hawk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Python, Alteryx, Tableau, and QlikSense. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Highlight your experience in building reusable data models and end-to-end data solutions during your conversations. Be prepared to discuss specific examples of how your work has driven business value and improved decision-making.
✨Tip Number 3
Showcase your communication skills by preparing to explain complex data concepts in simple terms. This will demonstrate your ability to bridge the gap between technical and non-technical stakeholders, which is crucial for this role.
✨Tip Number 4
If you have experience with cloud tools like AWS, Databricks, or Snowflake, make sure to mention it. Even if it's not a requirement, it can give you an edge and show that you're up-to-date with current technologies in the data landscape.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in analytics and data engineering. Emphasise your skills with tools like Python, Alteryx, Tableau, and any cloud technologies you are familiar with, such as AWS or Databricks.
Craft a Compelling Cover Letter: In your cover letter, express your passion for making data accessible and actionable. Mention specific projects where you've turned complex data into insights and how you've contributed to team success.
Showcase Your Problem-Solving Skills: Provide examples in your application that demonstrate your ability to solve problems and build solutions. Highlight any experience leading teams or mentoring others, as this aligns with the role's requirements.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail during the interview process. Prepare to explain how you've used various tools and technologies to build data models and solutions, especially to non-technical stakeholders.
How to prepare for a job interview at Hayward Hawk
✨Showcase Your Technical Skills
Be prepared to discuss your experience with tools like Python, Alteryx, Tableau, and QlikSense. Bring examples of projects where you've built reusable data models or end-to-end data solutions to demonstrate your expertise.
✨Communicate Clearly
Since the role requires explaining technical concepts to non-technical stakeholders, practice articulating complex ideas in simple terms. This will show your ability to bridge the gap between technical and non-technical teams.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in previous roles and how you approached solving them. Highlight your analytical thinking and how it led to actionable insights that benefited the business.
✨Emphasise Collaboration and Mentorship
As you'll be leading small agile teams and mentoring others, share experiences where you've successfully collaborated with colleagues or guided junior team members. This will showcase your leadership skills and proactive mindset.
