Data & Analytics Executive: Insight & Analytics
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Key skills for this role
About the Role
Brand Finance seeks an ambitious Data & Analytics Executive to join their research team in Dubai. The role involves processing and analyzing data sets for client projects and syndicated research initiatives.
Key Skills for This Role
Responsibilities
- Process and analyze data sets to help the Brand Finance team deliver important actionable insight to end clients and internal stakeholders.
- Manage multiple data & analytics requests simultaneously, playing a key role in providing outputs that allow for delivery excellence for all research and insight projects.
- Support data & analytics needs for syndicated research initiatives covering global commercial brands, football brands, place and nation brands.
- Work collaboratively with the Research team and individual Strategy and Valuation teams.
Requirements
- A University Degree qualification in a research relatable field.
- Excellent Excel skills, with PowerPoint experience a bonus.
- Fluent in both written and spoken English.
- 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.
- Thorough understanding of statistical concepts e.g. descriptive statistics, distributions, hypothesis testing, regression etc.
- Minimum 2 years of experience in data processing and analytics (market research agency or related industry experience is desirable).
- Experience with data processing and analytics software such as Q, SPSS or Sawtooth is expected.
Full Job Posting
Company Overview
- Brand Finance is a unique consultancy specialising in brand strategy and valuation, powered by market research, with the goal of ‘bridging the gap between marketing and finance’.
- We are a dynamic group of market researchers, marketers and financial analysts, working on a challenging mix of analytical and interpretive projects.
- As a key member of the research team, you will work across a variety of bespoke client projects focusing primarily on the quantitative side of the business.
Overview of the Role
- The role is for an ambitious data & analytics professional, with a passion for research, coming into a growing research team, eager to take ownership and make an impact.
- You will be exposed to a wide variety of leading global brands spanning different market sectors.
- The successful candidate will report directly into our Analytics Associate Director who leads advanced data and analytics for our research strategy projects and initiatives.
Key Responsibilities
- Working collaboratively with the Research team and individual Strategy and Valuation teams, you will manage multiple data & analytics requests simultaneously.
- Play a key role in providing outputs that allow for delivery excellence for all of our research and insight projects.
- Process and analyse data sets to help the Brand Finance team deliver important actionable insight to end clients and internal stakeholders.
Attributes and Experience
- 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.
- Thorough 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.
Work Experience Requirements
- 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.
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