Black Swan creates better outcomes through technology, prediction and data science, transforming how brands engage with their consumers.
Our products transform the way brands generate value from data, finding insights and solutions that create a competitive advantage for their business through accurate prediction of trends in consumer behaviour. We analyse...
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As an Insights Associate within our Cape Town Insight Hub, you will play a crucial role in delivery market research projects, responding to client briefs related to consumer attitudes and behaviors to inform product innovation and brand comm's. The hub team delivers projects utilizing both quantitative and qualitative research techniques on social datasets to analyze data, identify trends and understand consumers’ shifting interests. In collaboration with our Insight and Client teams in Cape Town, London & New York, you will be jointly responsible for ensuring we provide high-quality insights and analytics across a diverse range of client projects.
This role presents an opportunity to enhance your insights skills in addressing captivating client issues, and expanding your knowledge of how social research and data science can revolutionize traditional research approaches. You will engage in a creative research process where analytical rigor is as important as curiosity about the world, all within a dynamic and social team.
Key Responsibilities:
Conduct both data-led and qualitative analysis, utilizing Black Swan’s proprietary tools and interpreting large volumes of Excel data.
Craft succinct reports of analysis, identifying compelling insights that answer key business questions.
Actively participate in client and internal meetings, debriefs, and presentations.
Share ideas and key learnings within the team through informal communication and team sharing sessions.
Monitor the project’s performance and escalate obstacles to project quality/timing to the appropriate stakeholder.
Role model to our Insights Associates, troubleshooting, coaching, and training on tasks such as taxonomy builds, expanding inclusion and exclusion terms, data curation, and outputting.
Requirements:
Strong academic background with a relevant Degree or post-graduate qualification.
Minimum 1 years of relevant work experience in qualitative and quantitative research or data analysis.
Interest in product innovation, new technologies, and understanding consumer attitudes & behavior.
Enthusiasm for emerging research techniques and the potential of social data.
Proficient in working with and interpreting large volumes of Excel data.
Skilled at using PowerPoint to present in a professional and visually compelling way.
Comfortable working with a range of stakeholders, including clients, and confident in presenting.
Ability to work both independently and collaboratively with team members in different locations.
Bring energy, positivity, compassion, and empathy to every team interaction.
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