At a Glance
- Tasks: Analyze data, develop predictive models, and provide insights to drive business performance.
- Company: Join a fast-growing international digital solutions provider with a fun, low-hierarchy culture.
- Benefits: Enjoy hybrid work options, competitive salary, and opportunities for self-development.
- Why this job: Be at the forefront of data-driven decision-making and impact commercial strategy globally.
- Qualifications: 5+ years in analytics, strong skills in SQL, Python, and data visualization tools required.
- Other info: Refer a friend for rewards and be part of a leading analytics recruitment agency.
The predicted salary is between 42000 - 60000 £ per year.
Data Analytics Engineer – London Hybrid (2-3 days per week) – Salary up to £60,000 dependent on skills & experience – J12916 Founded a decade ago, this organisation is an International Digital Solutions provider that offers a range of Hosting related services, including web hosting, domain registration, VPS, complex hosting, dedicated servers, and private data centres located across the world. It is one of the fastest growing digital solutions providers globally. This organisation strongly believes in low-hierarchy structure and an open and fun company culture. After all, they understand that behind every successful product is a team of happy and efficient individuals. They value self-development and advise their employees to pursue growth and learning, both inside and outside the office. As a Data Analytics Engineer, you will be at the forefront of data-driven decision-making, helping them stay ahead of the competition and deliver outstanding value to clients. Reporting to the Head of Financial Planning and Analysis, you will work closely with management and senior leadership teams across all regions. Your work will directly impact trading, commercial strategy, and financial performance Responsibilities include: • Analyse large datasets and KPIs to identify trends, patterns, and business opportunities. • Develop and maintain predictive models to forecast market trends, customer behaviour, and financial indicators. • Provide actionable insights and recommendations to stakeholders across regional and cross-functional teams. • Monitor and evaluate commercial initiatives to optimize business performance. • Conduct competitor analysis to assess market dynamics and identify emerging trends. • Prepare comprehensive reports and visualizations to communicate findings clearly. • Deliver monthly trade reporting, revenue, margin, and profitability analysis. • Support pricing analysis across different regions. • Enhance the scope of data captured and drive improvements in data quality and consistency. • Stay up to date with industry best practices and advancements in data analytics. Skills required: • Experience in a fast-paced business environment, working alongside commercial teams. • 5+ years of experience with analytical tools such as Power BI and Azure Data Studio. • Strong data analysis skills with advanced Excel expertise. • Proven experience with SQL and Python. • Ability to translate large datasets into actionable insights. • Strong communication skills, with the ability to present data-driven findings to senior stakeholders. • Proficiency in creating impactful presentations in PowerPoint. • Problem-solving mindset with strong analytical thinking. • A proactive, ambitious approach, with the confidence to suggest business improvements. • Ability to work under pressure and turn challenges into opportunities. • International business experience (Europe & US) is a plus. • A degree in Finance, Mathematics, Economics, or a related field. If this sounds like the role for you then please apply today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK\’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)
Data Analytics Engineer employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Engineer
✨Tip Number 1
Familiarize yourself with the specific analytical tools mentioned in the job description, such as Power BI and Azure Data Studio. Consider taking online courses or certifications to enhance your skills and demonstrate your commitment to mastering these tools.
✨Tip Number 2
Network with professionals in the data analytics field, especially those who work in similar roles or industries. Attend industry events, webinars, or local meetups to make connections that could lead to referrals or insider information about the company culture.
✨Tip Number 3
Prepare to discuss your experience with translating large datasets into actionable insights during the interview. Have specific examples ready that showcase your analytical thinking and problem-solving skills, as these are crucial for the role.
✨Tip Number 4
Stay updated on the latest trends in data analytics and the digital solutions industry. Being knowledgeable about current market dynamics will not only help you in interviews but also show your enthusiasm for the role and the company.
We think you need these skills to ace Data Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, particularly with tools like Power BI and SQL. Emphasize your ability to analyze large datasets and provide actionable insights, as these are key responsibilities for the role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company culture. Mention specific experiences that demonstrate your analytical skills and how you've contributed to business performance in previous roles.
Showcase Your Technical Skills: Clearly outline your proficiency in analytical tools and programming languages such as Python and Excel. Provide examples of how you've used these skills to drive business improvements or optimize processes.
Prepare for Potential Questions: Anticipate questions related to your experience with data analysis and your approach to problem-solving. Be ready to discuss specific projects where you turned data into actionable insights, as this will showcase your fit for the role.
How to prepare for a job interview at Datatech
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with analytical tools like Power BI and Azure Data Studio. Highlight specific projects where you analyzed large datasets and how your insights led to actionable business decisions.
✨Communicate Clearly
Since strong communication skills are essential for this role, practice presenting your data-driven findings in a clear and concise manner. Use examples from your past experiences to demonstrate how you effectively communicated complex information to senior stakeholders.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss challenges you've faced in previous roles and how you turned them into opportunities. This will showcase your proactive mindset and ability to work under pressure, which are key traits for a Data Analytics Engineer.
✨Stay Updated on Industry Trends
Research the latest advancements in data analytics and be ready to discuss how they can be applied to the company's operations. Showing that you are knowledgeable about industry best practices will demonstrate your commitment to self-development and growth.