Hybrid Data Analytics Engineer - Manufacturing & Ops

Danisco Brazil Ltda.; Castelo Branco; Híbrido; EUR 25 000 - 38 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Global analytics projects

Career development opportunities

Resumo da oferta

IFF in Castelo Branco, Brazil, is seeking a Data Analytics Engineer to turn data into insights that optimize operations and drive business impact. You will transform business needs into analytics solutions, develop models, and build dashboards with Tableau or Power BI to support decision-making.

You should have 5+ years in manufacturing or supply chain analytics, strong SQL, Snowflake, Python skills, and experience with Agile or Waterfall methodologies. Bilingual English/Portuguese preferred.

Qualificações

• Bachelor's degree in a related field.
• Minimum 5 years in manufacturing, procurement, supply chain or related operations analytics.
• Proficient in SQL, Snowflake, Python and data visualization platforms.

Responsabilidades

• Transform business needs into advanced analytics solutions, models and dashboards.
• Develop, implement and maintain analytical models to identify opportunities for productivity and efficiency.
• Turn prototypes into dashboards, reports and tools for business users.
• Coordinate with experts to prioritize and improve analytics solutions.
• Generate and maintain KPIs to track productivity and business impact.

Conhecimentos

SQL

Python

Tableau/Power BI

Data visualization

Formação académica

Bachelor's degree in a related field

Ferramentas

Snowflake

Descrição da oferta de emprego

IFF in Castelo Branco, Brazil, is seeking a Data Analytics Engineer to turn data into insights that optimize operations and drive business impact. You will transform business needs into analytics solutions, develop models, and build dashboards with Tableau or Power BI to support decision-making.

You should have 5+ years in manufacturing or supply chain analytics, strong SQL, Snowflake, Python skills, and experience with Agile or Waterfall methodologies. Bilingual English/Portuguese preferred.