Pular para o conteúdo principal

Data & Analytics Manager

Tipo de vaga: Efetivo

Modelo de trabalho: Remoto

Vaga também para PcD

Descrição da vaga

Alpargata’s data team works with a wide variety of technologies and methods to solve our challenges. The data team is organized as a chapter and our data scientists are distributed on tribes and squads based on a product perspective. We are happy when we achieve simple solutions that aggregate value to the business! We believe that data science is the science of making data-driven decisions and we work side to side with our business partners. In this sense, we understand as our mission: “to build data products for supporting business decisions”. We try to see beyond standards to develop solutions pragmatically and efficiently. An agile mindset, product management best practices and collaboration are in the kernel of our way of working.


Some examples of what we do as a data & analytics team: we execute experimentation A/B testing, we build creative data explorations and data mining efforts to generate insights; we create predictive models trained with sklearn/keras/tensorflow/pytorch based on databricks platform; we create data pipelines to feed our data lake with AWS S3/Glue and deliver transformed data to a snowflake DW; In addition, we use tableau for delivering impactful data visualizations.


The Data & Analytics Manager will manage a team of talented data specialists, data engineers, data analysts and data scientists organized in tribes and squads while partnering with business teams to deliver value for our clients (internal and external) through analytics, innovation and strategic partnerships.

Responsabilidades e atribuições

  • Directly manage a team of data engineers and data scientists;
  • Build alignment with business teams on priorities and goals while ensuring analytics needs, service levels and quality standards are met;
  • Create data roadmap for tribes/squads in direct alignment with Product Owners e Business Owners and keep stakeholders informed on status of deliverables;
  • Actively work to find data product opportunities and data-driven insights (new data pipelines, new contents to data lake & DW, experimentation A/B testing, statistics/machine learning models, visualizations, etc.) ensuring the data team is working um valuable deliverables;
  • Directly engage on more complex projects trying to ensure quality and proper technical approach is being applied;
  • Guide less experienced teammates on delivering complex models and data pipelines. Always seek to deliver simple and effective solutions reducing the overall technical effort and keeping the proper quality;
  • Closely partner with the other analytics managers & colleagues to share knowledge, best practices and eliminate duplication of efforts;
  • Ensure compliance with LGPD/GPDR in all projects.

Requisitos e qualificações

  • Bachelor’s degree or higher in a quantitative field (Mathematics, Computer Science, Engineering, Economics, Statistics, etc.);
  • Experience working in Analytics & Data science in a leadership position (technical or people management);
  • Ability to manage people (plan, select, monitor, develop, communicate and value your team);
  • Experience with agile methodologies;
  • Excellent business vision, able to identify and prioritize high-impact issues, influencing data/engineering teams across the organization in solving these issues;
  • Analytical thinker with a data-driven approach to decision making and exceptional attention to details;
  • Experience with Machine Learning, Data Mining, Optimization, Simulation and Statistical Data Analysis techniques;
  • Experience with design and analysis of experiments;
  • Excellent communicator with an ability to deliver impactful presentations, translate technical concepts to both technical and non-technical audiences (both internally and externally) and able to work effectively with people from various backgrounds;
  • Proficient in SQL, Python, ETL/ELT, statistics/machine learning methods, data mining, data visualization tools;
  • Experience in the academic and research field is an advantage;
  • Fluent in Portuguese and English required (written & spoken).

Informações adicionais

  • Dynamic workspace to practice your abilities;
  • Flexible hours;
  • Day Off – Birthday;
  • Talks and Courses ministered by our specialists;
  • Discounts of up to 75% on Alpa products;
  • Gympass.

Quem somos

Cocriamos experiências significativas, feitas por pessoas e projetadas para pessoas.


Somos uma empresa de tecnologia, inovação e design orientada por dados e pautada na agilidade. O nosso foco é a cocriação de soluções digitais com uma entrega ágil de ponta a ponta. Desde o desenho da estratégia de transformação, estudos de mercado e tendências, formação e capacitação de times até o desenvolvimento do produto final.


Colocamos isso em prática com algumas das maiores empresas do mercado nacional e internacional, como: Suvinil, CVC, Fleury, VLI, BASF, Americanas Delivery, L’Oreal, Ânima e Vale.


Fazemos parte da Alpargatas, um grupo centenário de marcas desejadas e hiperconectadas como a Havaianas. Somos Alpa com o objetivo de acelerar cada vez mais a sua transformação digital, uma empresa global, inovadora e sustentável, que fala muitas línguas e conecta diferentes pessoas com um mesmo propósito: o de surpreender sempre.



?