Data/Commercial Analyst – large volumes of data & ETL London Hybrid (2-3 days per week in office) Founded over 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.
They are a tight-knit team of tech-savvy, fun-loving, creative employees that work together striving towards excellence.
They strongly believe in low-hierarchy structure and an open and fun company culture. They value self-development and advise their teams to pursue growth and learning, both inside and outside the office.
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
Develop and maintain predictive models to forecast market trends, customer behaviour, and financial indicators.• Monitor and evaluate commercial initiatives to optimize business performance.• Conduct competitor analysis to assess market dynamics and identify emerging trends.• 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.
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.• Strong communication skills, with the ability to present data-driven findings to senior stakeholders.• A degree in Finance, Mathematics, Economics, or a related field.
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