Senior Finance Data Analyst

Stanton House Limited
London, UK
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£60,000.0 - £65,000.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Artificial Intelligence Data Analysis Big Data R (Programming Language) Python (Programming Language) Power BI SQL Databases Tableau (Software)

Job description

You’ll work on complex, high-impact business questions, using data to generate insights and support commercial decisions. This involves shaping problems, analysing data from multiple sources, and delivering clear, actionable recommendations to stakeholders. You’ll also help prioritise high-value work, improve ways of working through automation and best practice, and make complex analysis accessible and impactful across the busine

ss Responsibilitie

  • s: Partnering with stakeholders to define problems and translate them into analytical approac
  • hesAnalysing data (e.g. SQL, Excel, BI tools) to identify key drivers of performa
  • nceDelivering clear, actionable recommendations to non-technical audien
  • cesSupporting improvements in processes through automation, standardisation, and best pract

Requirements

  • ts:Experience using data or analysis to inform business decisi
  • onsStrong problem-solving skills and ability to work with ambigu
  • ityCommercial awareness and understanding of performance driv
  • ersClear communication and stakeholder management ski
  • llsHigh attention to detail and a proactive mind
  • setExperience in analytics, finance, consulting or similar ro
  • lesKnowledge of SQL, Python, R, or BI tools (Tableau, Power BI, et
  • c.)Experience working with complex datasets or building dashboa
  • rdsExposure to automation or AI-driven analy

sis

About the company

wStanton House is working with a leading media business to hire into their Finance Analytics team. You will work on high-impact, often ambiguous business questions, using data to shape insights and drive commercial decisions. This team sits at the intersection of Finance, Commercial and Data, using analytics to support key business decisions and improve performance across revenue, cost and customer outcomes

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