Data & Analytics Executive
About the role
The Data & Analytics Executive at Brand Finance will join a growing research team, working closely with the Associate Director, Insights, and collaborating with Research, Strategy, and Valuation teams. The role involves managing multiple data and analytics requests, processing and analyzing data sets, and delivering actionable insights for both clients and internal stakeholders. Candidates will be exposed to a variety of global brands and advanced analytical approaches, with opportunities for broader involvement in research project delivery if desired. The position requires strong analytical, organizational, and communication skills, as well as experience in data processing and analytics, ideally within a research or insights organization.
Must have
- A University Degree qualification in a research relatable field
- Excellent Excel skills, with PowerPoint experience a bonus
- Fluent in both written and spoken English. Other language capabilities are a bonus, though not essential
- Strong analytical skills and a good eye for detail
- Strong organisational skills, ideally able to manage up and down
- Highly motivated and keen to work in small cross-functional teams
- An effective communicator
- Basic understanding of statistical concepts e.g. descriptive statistics, distributions, hypothesis testing, regression etc.
- While data and analytics will be the primary role, broader involvement in Research project delivery to client is available if desired (i.e. hybrid analytics / researcher role)
- You are likely to be currently working in a research and insights organisation
- Minimum 2 years of experience in data processing and analytics (market research agency or related industry experience is desirable)
- Strong understanding of data processing and at least a basic grasp of analytics techniques (e.g. drivers analysis), though analytics training is available on the job
- Used to working in an agile environment, managing up and down as necessary to keep projects on track
- Experience with data processing and analytics software such as Q, SPSS or Sawtooth is expected
Technologies
- Agile
- CMOS
- Excel
- Powerpoint
- SPSS
- Statistics
Highlights
Applications can be submitted via LinkedIn or by emailing an updated CV to careers.sl@brandfinance.com, with the position stated in the subject line. The company is an equal opportunity employer and encourages applications from all qualified candidates.
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