Data Analytics Engineer

Guaranteed Tenants Ltd; London; Hybrid; GBP 60,000; Full time

Job summary

An established industry player is seeking a Data Analytics Engineer to drive data-driven decision-making and enhance business performance. In this hybrid role, you will analyze large datasets, develop predictive models, and provide actionable insights to senior stakeholders. Your expertise in analytical tools like Power BI and SQL will be crucial in optimizing commercial strategies and financial performance. Join a forward-thinking organization that values self-development and offers a dynamic work environment, where your contributions will directly impact trading and commercial success. If you thrive in a fast-paced setting and are passionate about data analytics, this is the perfect opportunity for you.

Qualifications

• 5+ years experience with analytical tools like Power BI and SQL.
• Strong data analysis skills with advanced Excel expertise.
• Degree in Finance, Mathematics, or Economics preferred.

Responsibilities

• Analyse large datasets to identify trends and business opportunities.
• Develop predictive models for market trends and customer behaviour.
• Prepare reports and visualizations to communicate findings.

Skills

Data Analysis

Power BI

Azure Data Studio

SQL

Python

Excel

Communication Skills

Presentation Skills

Problem-solving

Analytical Thinking

International Business Experience

Education

Degree in Finance

Degree in Mathematics

Degree in Economics

Tools

Power BI

Azure Data Studio

SQL

Excel

Python

Job description

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. 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:

1. Analyse large datasets and KPIs to identify trends, patterns, and business opportunities.
2. Develop and maintain predictive models to forecast market trends, customer behaviour, and financial indicators.
3. Provide actionable insights and recommendations to stakeholders across regional and cross-functional teams.
4. Monitor and evaluate commercial initiatives to optimize business performance.
5. Conduct competitor analysis to assess market dynamics and identify emerging trends.
6. Prepare comprehensive reports and visualizations to communicate findings clearly.
7. Deliver monthly trade reporting, revenue, margin, and profitability analysis.
8. Support pricing analysis across different regions.
9. Enhance the scope of data captured and drive improvements in data quality and consistency.
10. Stay up to date with industry best practices and advancements in data analytics.

Skills required:

1. Experience in a fast-paced business environment, working alongside commercial teams.
2. 5+ years of experience with analytical tools such as Power BI and Azure Data Studio.
3. Strong data analysis skills with advanced Excel expertise.
4. Proven experience with SQL and Python.
5. Ability to translate large datasets into actionable insights.
6. Strong communication skills, with the ability to present data-driven findings to senior stakeholders.
7. Proficiency in creating impactful presentations in PowerPoint.
8. Problem-solving mindset with strong analytical thinking.
9. A proactive, ambitious approach, with the confidence to suggest business improvements.
10. Ability to work under pressure and turn challenges into opportunities.
11. International business experience (Europe & US) is a plus.
12. A degree in Finance, Mathematics, Economics, or a related field.

If this sounds like the role for you then please apply today!