Data Analytics Engineer
Data Analytics Engineer

Data Analytics Engineer

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyze data to uncover trends and provide insights that drive business decisions.
  • Company: Join a fast-growing international digital solutions provider with a fun, low-hierarchy culture.
  • Benefits: Enjoy hybrid work options, a supportive environment for self-development, and competitive salary up to £60,000.
  • Why this job: Be at the forefront of data-driven strategies that impact trading and financial performance globally.
  • Qualifications: 5+ years in analytics, strong skills in SQL, Python, Power BI, and a degree in a related field.
  • Other info: Refer a friend for a chance to earn rewards through our referral scheme!

The predicted salary is between 36000 - 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

As a Data Analytics Engineer at our London office, you will join a dynamic and rapidly growing international digital solutions provider that champions a low-hierarchy structure and a vibrant company culture. We prioritize employee development and offer numerous opportunities for growth, ensuring that you can thrive both personally and professionally while making impactful contributions to our data-driven strategies. Enjoy the flexibility of a hybrid work model, competitive salary, and the chance to collaborate with senior leadership in shaping the future of our business.
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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 tutorials 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 or webinars to connect with potential colleagues and learn more about the company culture.

✨Tip Number 3

Prepare to discuss your experience with SQL and Python in detail during the interview. Be ready to provide examples of how you've used these languages to solve real business problems or improve processes in previous roles.

✨Tip Number 4

Research the company’s recent projects and initiatives related to data analytics. Being knowledgeable about their work will allow you to ask insightful questions during the interview and show that you're genuinely interested in contributing to their success.

We think you need these skills to ace Data Analytics Engineer

Data Analysis
Predictive Modeling
Power BI
Azure Data Studio
Advanced Excel Skills
SQL
Python
Data Visualization
Communication Skills
Presentation Skills
Analytical Thinking
Problem-Solving Skills
Commercial Awareness
International Business Experience
Degree in Finance, Mathematics, or Economics

Some tips for your application 🫡

Understand the Role: Make sure to thoroughly read the job description for the Data Analytics Engineer position. Understand the key responsibilities and required skills, and think about how your experience aligns with them.

Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with analytical tools like Power BI and Azure Data Studio, as well as your proficiency in SQL and Python. Provide specific examples of how you've used these skills in previous roles.

Showcase Communication Skills: Since strong communication skills are essential for this role, include examples of how you've effectively presented data-driven insights to stakeholders. Mention any experience you have in creating impactful presentations.

Tailor Your Application: Customize your CV and cover letter to reflect the company's values and culture. Highlight your proactive approach and problem-solving mindset, and express your enthusiasm for contributing to a low-hierarchy and open company culture.

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 and ambitious approach, which is highly valued by the organization.

✨Stay Updated on Industry Trends

Research current trends in data analytics and be ready to discuss how they could impact the organization. Showing that you are knowledgeable about industry best practices will demonstrate your commitment to self-development and growth.

Data Analytics Engineer
Datatech
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  • Data Analytics Engineer

    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2027-02-02

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    Datatech

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