Business Intelligence Specialist

Ascenza Portugal; Mairinque; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading agricultural company in São Paulo is seeking a Business Intelligence Specialist. The role involves defining business data sources, developing predictive models, and interpreting data trends. Candidates should have a bachelor's degree in a relevant field and 1 to 3 years of experience in the industrial sector. Excellent teamwork and advanced knowledge of English and Spanish are necessary. Competitive compensation and benefits will be offered as part of a collaborative team environment.

Serviços

Integration into an enthusiastic and collaborative team

Compensation and benefits commensurate with experience

Qualificações

• 1 to 3 years of experience in the Industrial sector is preferred.
• Certifications in Systems, Business Intelligence Applications are a plus.
• Advanced knowledge of English and Spanish (spoken and written) is required.

Responsabilidades

• Define and implement relevant business data sources for analyses.
• Develop and implement data analyses integrated with existing solutions.
• Interpret data trends and present findings to the organization.
• Monitor all business needs to anticipate potential problems and opportunities.

Conhecimentos

Data Science

Predictive Statistics

Teamwork

Data Analysis

Problem Anticipation

Customer Behavior Analysis

Formação académica

Bachelor's degree in Computer Engineering, Information Management, Data Analytics or related fields

Descrição da oferta de emprego

Date : Dec 23

Location : Setubal, PT Setúbal, PT

Company : Ascenza Agro

Ascenza is the crop Protection branch, a benchmark independent player in the off-patented South-European, Brazilian and Mexican markets, with a leading position in Iberia.

Mission

The Business Intelligence department's mission is to support the site's management, with its main responsibilities being to provide and manage all business information, support and advise the site's administration by providing all relevant information for the organization's tactical and strategic decisions, through predictive and statistical models that enable the anticipation of future business trends, risks, and opportunities.

Responsibilities

Define and implement relevant business data sources (structured and unstructured sources, internet, cloud, among others), data integration and transformation models

Develop and implement data analyses, from historical to predictive, integrated with existing business intelligence and analytics solutions and tools, namely to anticipate customer behavior (needs and trends) and supplier behavior (trends and prices)

Develop and implement analytical solutions applying data mining techniques, machine learning and statistical analysis

Interpret data, trends and patterns, and present them to the organization

Structure, develop and manage business analytics tools that will enhance actions aimed at continuous improvement, notably focusing on productivity, efficiency and quality

Monitor all business needs and anticipate potential problems and opportunities (Example : legal problems / opportunities, raw material quotations, environmental, logistical, among others)

Creation of predictive models with the objective of anticipating customer trends in terms of product needs, operational risks, evolution of raw material prices, climate change, market evolution, among others

Through predictive models, impact the Return on Business, following various analyses of market data.

Qualifications

Bachelor's degree in Computer Engineering, Information Management, Data Analytics or related fields

1 to 3 years of experience in the Industrial sector as a preferred factor

Certifications in Systems, Business Intelligence Applications

Solid knowledge in Data Science and Predictive Statistics

Excellent teamwork skills

Data and information analysis, focusing on value creation and facilitation for decision-making centers

Advanced knowledge of English and Spanish (spoken and written)

Benefits

Integration into an enthusiastic and collaborative team

Compensation and benefits commensurate with the position and demonstrated experience

Rovensa Group is an equal-opportunity employer that is committed to diversity and inclusion in the workplace.

We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship.

Rovensa Group makes hiring decisions based on qualifications, merit, and business needs at the time.

Please note that, for equity compliance purposes, sometimes and depending on the jurisdiction, our Group follows specific criteria / criterions related to hiring processes, when mandatory.

Therefore, we are aware of our local duties, worldwide – feel free to consult your local laws and ask any questions to our HR representatives.