
Chief Data Insights Strategist
Há 3 dias
We are seeking a skilled professional to analyze and interpret large datasets, transforming complex signals into actionable customer insights.
Key Responsibilities:
- Analyze large datasets to identify trends, patterns, and opportunities that inform data-driven decision-making in AI-powered applications.
- Extract valuable insights from both structured and unstructured data sources.
- Develop and maintain interactive dashboards and reporting tools to monitor key business metrics and provide stakeholders with clear, accurate insights.
- Collaborate on designing and evaluating experiments (A/B tests), including statistical analysis and interpretation of results.
- Contribute to defining and refining Key Performance Indicators (KPIs) and metric definitions that align with business objectives.
- Effectively communicate findings through compelling data storytelling, visualizations, and presentations to technical and non-technical audiences.
- Proactively identify opportunities to improve processes, uncover new insights, and drive efficiency through automation and scalable solutions.
- We prioritize the customer experience in everything we do.
- Data and technology are at the heart of our strategy.
- We value exploration before exploitation - curiosity drives our approach.
- We have a diverse team of experts from various backgrounds.
- We thrive in fast-paced environments and question every assumption.
- Proficiency in SQL.
- Fluency in Python.
- Experience working with Large Language Models (LLMs).
- Initiative to learn, investigate, experiment, and self-manage.
- Effective communication skills to collaborate with multiple teams, both in English and Portuguese.
- Solid data visualization and storytelling skills.
- Able to collect, organize, analyze, and disseminate significant amounts of information in a clear and concise manner.
- Experience with unstructured data analysis.
- Strong knowledge of statistical analyses and methodologies.
- Experience with BigQuery as a SQL and data warehousing service.
- Familiarity with ETL frameworks like Airflow.
- Knowledge of trace analysis methods.
- Experience with vector database tools.
- Candidates will undergo an online assessment to evaluate basic programming skills and logical reasoning.
- A case study will be presented for candidates to demonstrate their abilities.
- A technical interview and case presentation will follow.
- A cultural interview will be conducted to assess fit.
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