* Salário: R$ 11.000 a R$ 20.000 por mês (estimado)
* O valor exibido é uma estimativa calculada com base em dados públicos e referências do mercado. Não garantimos que este seja o salário oferecido para esta vaga específica.
Área: Tecnologia da Informação
Nível: Senior
Currently, we are looking for a remote Senior Data Analyst to join our team.
Responsibilities
- Work with a strong group of data scientists as we advance our core data artifacts to the next level (Tableau, Redash, etc.) functionally, aesthetically and operationally
- Develop strong collaborative partnerships with business and operations leaders
- Provide technical expertise in data visualization, deep business acumen, stakeholder engagement and operational insights via analysis
- Work with a cross-functional team to drive improvement and efficiency in a rapidly scaling and dynamic customer support environment, bringing analytic capabilities and insights to bear
- Address business challenges, performance bottlenecks and growth opportunities with analytic solutions
- Playing the role of analytic visualization expert in cross-functional teams, focused on measurement of new strategies or initiatives, sizing of opportunities, and understanding of complex systems; always with a mind towards actionable insights and business impact
Requirements
- 3+ years of experience with Data and have a BS degree in Statistics, Mathematics, Economics, Computer Science or other quantitative field
- Experience with Data visualization, Statistics, data distributions, summary/aggregation methods, operational metric development, ongoing OKR measurement
- Experience with Tableau, SQL, Redash, Excel, etc.
- Experience with Confluence, Jira
- Experience in building business impacting analytic solutions and experience using data to influence business and operational teams
- Ability to produce clean, clear data visualizations that power decisions for senior stakeholders
- Strong communication skills (non-technical) and core tech skills
- Fluent English (B2+)
Nice to have
- Experience with Python, PySpark, DataBricks
