Supply Chain Business Analyst

Cube Hub Inc.; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A tech consultancy is looking for a Supply Chain Business Analyst to join their analytics team in Brazil. Candidates must have 5-7 years of business analysis experience, excellent SQL skills, and familiarity with data visualization tools like Power BI and Tableau. The role requires excellent communication skills and the ability to collaborate with stakeholders. The position can be fully remote with a preference for candidates with Agile/Scrum experience.

Qualificações

• 5–7 years of experience in business analysis, preferably in a data-focused environment.
• Strong proficiency in SQL and data visualization tools.
• Experience with cloud platforms and data warehouses.

Responsabilidades

• Collaborate with stakeholders to gather and analyze requirements.
• Translate business needs into clear data requirements.
• Develop and maintain dashboards and reports.

Conhecimentos

Excellent communication skills

Analytical thinking

Stakeholder management

SQL proficiency

Agile/Scrum methodology

Formação académica

Bachelor’s degree in Business, Data Analytics, Information Systems

Ferramentas

Power BI

Tableau

Azure

SQL

Descrição da oferta de emprego

We are hiring for our North America client

Candidate need to have an Excellent English communication skills

Candidate need to have a short notice period

Need to use their personal computer for work

Resume need to be shared in English format

Supply Chain Business Analyst - MUST have previous supply chain BA experience.

This position MUST be located in Sao Paulo, Brazil - but can be fully remote work.

Not interested in candidates from onshore

Agile/Scrum experience is nice to have – waterfall can be used.

Job Summary

We are seeking a highly skilled and detail-oriented Business Analyst to join our analytics team. The ideal candidate will have 5–7 years of experience in business analysis, data interpretation, and stakeholder engagement. You will play a key role in translating business needs into data-driven solutions, supporting strategic initiatives, and enhancing decision-making through actionable insights.

Reviewing existing solutions, application rationalization efforts. HANA data link going away and going to snowflake. Assessing what is there today, any gaps in the data tomorrow, building and repointing solutions.

Data modeling experience – not creating it but analytics projects, Azure or Snowflake experiences. SQL day to day,

Key Responsibilities

• Collaborate with business stakeholders to gather, document, and analyze requirements for analytics solutions.
• Translate business needs into clear data requirements and work with data engineers and analysts to ensure delivery.
• Develop and maintain dashboards, reports, and visualizations using tools like Power BI, Tableau, or Looker.
• Conduct deep-dive analyses to uncover trends, patterns, and opportunities for business improvement.
• Support data governance and ensure data quality and consistency across analytics products.
• Facilitate workshops and meetings to understand business processes and identify areas for optimization.
• Create user stories, process flows, and functional specifications for analytics projects.
• Monitor KPIs and performance metrics to evaluate the success of analytics initiatives.
• Act as a liaison between technical teams and business units to ensure alignment and clarity.

Qualifications

• Bachelor’s degree in Business, Data Analytics, Information Systems, or related field.
• 5–7 years of experience in business analysis, preferably within a data or analytics-focused environment.
• Strong proficiency in SQL and data visualization tools (e.g., Power BI, Tableau).
• Experience working with cloud platforms (e.g., Azure, AWS, GCP) and data warehouses.
• Excellent communication and stakeholder management skills.
• Strong analytical thinking and problem-solving abilities.
• Familiarity with Agile/Scrum methodologies is a must.

Preferred Skills

• Experience with data modeling and ETL processes.
• Knowledge of statistical analysis or machine learning concepts.
• Certification in Business Analysis (CBAP, PMI-PBA) or related credentials.