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- Tasks: Join our team to design and maintain data pipelines and analytics solutions.
- Company: We support over 1,150 global brands with top-notch data and marketing solutions.
- Benefits: Enjoy 23 days holiday, a pension scheme, gym access, and more perks!
- Why this job: Be part of a dynamic team that values innovation and collaboration in a thriving environment.
- Qualifications: Minimum 2 years experience or relevant qualification; strong SQL and AWS skills required.
- Other info: Hybrid work model with 3-4 days in the office; great for learning and growth.
The predicted salary is between 35000 - 45000 £ per year.
TieTalent Market Harborough, England, United Kingdom
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TieTalent Market Harborough, England, United Kingdom
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About
Analytics Engineer
Hybrid (3/4 days in the office) Market Harborough, Leicestershire
Salary: £35,000 to £45,000 dependent on experience
Working Hours – 37.5 hours a week, Monday to Friday
We are the brand behind world-class brands. We deliver unparalleled customer management, marketing, payment, technology and data solutions, making us the largest and most strategically aligned full-service provider for publishers globally. We have earned the trusted confidence of a wide range of companies supporting over 1,150 brands globally
The Analytics Engineer will join a strong team who design, develop, deploy and maintain scalable data pipelines and analytics solutions. The Analytics Engineer is responsible for creating, enhancing and maintaining reporting services to meet requests for new functionality and support internal and external users. The Analytics Engineer will also be responsible for resolving support requests in a timely and accurate fashion, as well as providing recommendations and guidance on future projects.
Essential
Minimum 2 years’ experience or a related educational qualification
Excellent communication skills to collaborate with cross-functional teams and translate business requirements into technical solutions.
A very strong command of SQL, both Athena and MSSQL
A good understanding of methods for data manipulation, analysis, and automation tasks.
Experience with Microsoft SSIS ETL pipelines.
Experience with AWS tools such as S3, Glue, Redshift, Lambda, and Athena for building scalable data pipelines and architectures.
Experience in developing dashboards and reports using MicroStrategy and\\or Amazon QuickSight or similar.
Strong analytical skills to troubleshoot data issues and derive actionable insights from complex datasets.
Skilled in designing data models and implementing ETL workflows to ensure data quality and readiness for analysis.
Ability to create intuitive and interactive dashboards that effectively communicate insights to stakeholders.
Knowledgeable in data governance practices, ensuring compliance with data privacy regulations and implementing robust security measures.
Strong technical mindset with a desire to learn
Knowledge of Windows Servers and Azure Cloud
Desirable
Driving Licence
Programming experience with C# and\\or Python
In addition to a great working culture, we offer superb benefits too;
23 days holiday (increasing to 25 days) + Bank Holidays + Birthday + Long Service
Workplace Pension with employer contributions
Employee Assistance Programme
Wellbeing Programme with access to tools and initiatives
Mental Health First Aiders
Onsite Gym
Free Eye Tests
Insurance Schemes
Cycle to Work Scheme
Retail Benefit Discounts
Employee Recognition Schemes
Recommend a Friend Scheme
Social Activities
Free Parking
And more
Nice-to-have skills
- AWS Lambda
- C#
- Python
- SQL
- Market Harborough, England, United Kingdom
Work experience
- Data Engineer
- Data Infrastructure
- Business Intelligence
Languages
- English
Seniority level
-
Seniority level
Entry level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
-
Industries
Technology, Information and Internet
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Analytics Engineer employer: TieTalent
Contact Detail:
TieTalent 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 AWS services and SQL. Having hands-on experience or projects that showcase your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Network with current employees or professionals in the analytics field. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've successfully resolved data issues or implemented analytics solutions. Being able to articulate your problem-solving process will demonstrate your analytical skills effectively.
✨Tip Number 4
Showcase your ability to communicate complex technical concepts to non-technical stakeholders. This is crucial for an Analytics Engineer role, so think of examples where you've done this successfully in the past.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that match the job description for the Analytics Engineer position. Emphasise your SQL expertise, experience with AWS tools, and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and your understanding of the company's role in the industry. Mention specific projects or experiences that demonstrate your ability to create and maintain data pipelines and reporting services.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially your proficiency in SQL, AWS tools, and ETL processes. Provide examples of how you've used these skills in previous roles to solve problems or improve processes.
Highlight Communication Abilities: Since the role requires collaboration with cross-functional teams, emphasise your communication skills. Include examples of how you've successfully translated business requirements into technical solutions in past experiences.
How to prepare for a job interview at TieTalent
✨Showcase Your SQL Skills
Since a strong command of SQL is essential for the Analytics Engineer role, be prepared to discuss your experience with both Athena and MSSQL. Consider bringing examples of complex queries you've written or optimised, as this will demonstrate your technical expertise.
✨Demonstrate Your Problem-Solving Abilities
The role requires strong analytical skills to troubleshoot data issues. Be ready to share specific instances where you've resolved data-related challenges, highlighting your thought process and the impact of your solutions on the project or team.
✨Familiarise Yourself with AWS Tools
As the position involves building scalable data pipelines using AWS tools, brush up on your knowledge of S3, Glue, Redshift, Lambda, and Athena. You might be asked about how you've used these tools in past projects, so having concrete examples will help you stand out.
✨Prepare for Cross-Functional Collaboration Questions
Excellent communication skills are crucial for this role. Think of examples where you've successfully collaborated with cross-functional teams to translate business requirements into technical solutions. This will show your ability to work effectively within a team environment.
