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Data Analyst

Inspiring Interns & Graduates
Job LocationLondon
EducationNot Mentioned
Salary£22,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time or part-time

Job Description

The Role

  • You will join the Ad ops/Rev Ops team primarily, however, in addition to supporting this team, you will also support other areas across the business including Finance, Marketing, and sales
  • Overall responsibility for the role will be to manage all of the data analytics for the organisation, especially within commercial advertising areas, and to then output these into tangible dashboards regularly
  • You will help to manage and process the commercial business billing and invoice financing procedures
  • The main objectives will be to decipher commercial data in order to build stories, facts, commercial ideation, look for errors, and produce ad hoc reports
  • You will have access to all systems which produce data, and you will output these into dashboards and databases regularly
  • You will develop frameworks for problem solving
  • Crafting of unique insights from analysis and synthesis of data, be able to think broadly and strategically around problems
  • Develop and present custom insightful analyses, reports and dynamic dashboards for regular and precise reporting to senior stakeholders
  • Streamline the current reporting process & scale deployment with respective local teams and drive automation in reporting on an ongoing basis
  • Own specification and delivery of analytical products and services
  • Responsible for data quality and integrity
  • Maintain data sources and models up to date
  • Documentation relating to existing processes and suggestions for improving those processes
  • Ability to manage multiple stakeholders and priorities efficiently
The ideal candidate
  • Commercial advertising/Media knowledge
  • History of working in marketing, advertising or Media
  • You have excellent communication and collaboration skills
  • Ability to learn new tech systems and teach other team members
  • Diligent with a strong attention to detail
  • Ability to clearly articulate an operations & technology narrative in client- friendly terms
  • Self starter who can work well within a team, and independently
  • Strong background in mathematics, statistics or data modelling
  • Data engineering & mining skills
  • Data analysis, cleansing and queries in ETL and SQL & Trifect
  • Good working experience of various data visualisation tools
  • Data analytics experience (data analysis, data management)
  • Knowledge of tools such as Power BI, Tableau, Looker, or Google Data Studio/Google analytics etc
  • You ideally have experience working with digital media data sources and platforms such as Google and Meta etc
  • Strong numerical skills with advanced skills in Excel/Google sheets
  • Be able to manipulate data and work with pivot tables to analyse large numbers
  • A logical thinker, with the ability to simplify and streamline complicated processes to achieve accurate and tangible results
  • Ability to deliver results on time and focus on outcome
  • Able to problem-solve complex and at times technical issues, in a timely manner
  • Knowledge of accounting processes

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