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Data Specialist

Há 1 mês

São Paulo, São Paulo, Brasil Matific Tempo inteiro
**ABOUT MATIFIC**
Matific is a leading global EdTech provider, delivering an adaptive online learning platform for primary school mathematics. With our product being utilised by millions of students, teachers and parents in 100+ countries we are helping educate the youth and bring equality to education. With over $50M USD invested and a global team of over 200+ employees, we are committed to achieving our goals. We've also picked up a number of awards including numerous CODiEs, Academics' Choice and Edtech Digest to name a few.
**THE ROLE**
We are looking for a highly motivated Data Specialist for the Matific Brazilian Team.
**RESPONSIBILITIES**
- Develop, configure, and maintain dashboards to monitor the performance of various internal teams, ensuring data accuracy and clarity.
- Conduct performance analyses, including KPI diagnostics, to provide actionable insights that support strategic decision-making.
- Identify and resolve data inconsistencies, conduct root cause analysis and implement effective solutions.
- Integrate various systems and data sources via APIs to ensure efficient and automated data collection.
- Configure and support Business Intelligence (BI) tools, delivering data insights and solutions for the company's clients.
- Collaborate with cross-functional teams to understand data needs and develop tailored solutions to meet those requirements.
- Work with AWS infrastructure and tools, including setting up and maintaining data workflows on AWS services.
- Develop and maintain dashboards and visualizations using AWS Quick Sight.
**Requirements**:
- Strong experience with data visualization tools such as AWS Quick Sight, Power BI, Tableau, or Looker.
- Advanced proficiency in SQL for querying and managing large datasets.
- Familiarity with API integrations and data process automation.
- Previous experience in troubleshooting data issues, performance analysis, and KPI optimization.
- Ability to work collaboratively with multidisciplinary teams.
- Experience with client-facing BI tools is a plus.
**Preferred Qualifications**:
- Degree in Data Science, Data Engineering, Statistics, or related fields.
- Prior experience in tech companies or the EdTech industry is a strong advantage.
**Benefits**:
- Opportunity for growth and development within a company that is revolutionising education.
- A dynamic and challenging work environment with a culture of innovation and continuous learning.
- Benefits include transportation allowance, meal voucher, health insurance, and flexible working hours (hybrid model).