As a Senior Data Analyst, you will work hand-in-hand with our quantitative research team to build the technical tools supporting our products, setting-up client interfaces and internal data analysis processes. You will be responsible for the technical pipeline - enabling the team on efficient data collection and analysis and transforming raw data into interactive, actionable visualizations that reveal the truth of the African market. You will report to the Consumer Insights Research Director and be based in our head office in Barcelona, Spain.

About the company:

This company is a market research and data insights firm focused primarily on African markets.
It specialises in collecting, analysing, and delivering consumer, retail, and brand data to help companies make better business decisions across the continent.

1. Market Data Products They offer a suite of proprietary data products and trackers that provide ongoing insights.

2. Consumer Panels & Surveys

3. Qualitative Research & Product Testing

4. Custom Research Projects

Their data and insights are sold to a variety of clients, that rely on their data to understand consumer behaviour, track competitors, optimise product portfolios, and make strategic decisions across Africa.

Your tasks

• Product Development - Data & Technology: develop new data structure and interface for
  internal and clients’ direct interactions with the product. In partnership with the SagaCube
  Manager, define data content needs, analysis needs and reporting infra-structure
• Data analysis process: own, recommend and enable an efficient and high quality process for
  quantitative data analysis adapted to specific research methodologies and modeling.
• Develop tools and training needed to support the research and scripting teams collaboration
  and serve as the reference to enable projects’ delivery.
• Statistical Validation: serve as a guide to the research team on applying advanced statistical
  methods. Ensure high quality data analysis, supporting the development of regression, drivers
  and segmentation modeling
• Dashboard Development: design and maintain interactive dashboards to answer both internal
  needs and client-direct data interaction
• Research Collaboration: liaise effectively with internal research team members to translate
  their research objectives into technical requirements. Develop custom metrics within our
  database to provide deeper layers of analysis
• Act as a day-to-day coach for Scripting and Data Analysts to grow company data expertise
  

What do you need?

• 5+ years in Data Science / Data Products
• Technical Core: Proficiency in SQL and Python or R is required for data manipulation,
  automation, and the calculation of complex indicators.
  
• Strong data-driven mindset: Proficiency in analytics, KPI tracking, and A/B testing.
• Advanced Statistics: A strong grasp of statistics is required, specifically the ability to move
  beyond basic reporting to create complex, weighted, or derived indicators.
• Visualization hands-on experience: Grafana preferred; Tableau, Power BI, Looker also valued.
• Familiarity with conversational AI, NLP, or LLMs.
• Experience in quantitative market research, technical consumer insights, sensory consumer
  insights, marketing or management consulting
• Fluent in English (mandatory)
  
• Strong work ethic, highly collaborative, curious and client/research team support oriented