Supplier Data Analyst

Jobtailor

Belo Horizonte

Presencial

BRL 90 000 - 130 000

Tempo integral

Há 2 dias
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Resumo da oferta

Jobtailor in Belo Horizonte, Brazil, seeks a data-driven analyst to perform financial and operational analyses, monitor KPIs, and support contract evaluations and billing processes. The role emphasizes cross‑functional collaboration and continuous improvement.

The ideal candidate will leverage advanced Excel and Power BI skills, be comfortable with data-driven decision making, and have experience with SQL. Python experience is a plus.

Qualificações

  • Bachelor’s degree completed.
  • Experience in analytical, financial, operational, or related areas.
  • Advanced knowledge of Excel and Power BI.
  • Experience analyzing KPIs and preparing management reports.
  • Ability to use data analysis to support decision-making.
  • Knowledge of SQL.
  • Experience with Python is a plus.
  • Experience in operations, maintenance, cost management, billing, or administrative processes is a plus.
  • Experience working in environments involving strong collaboration across different business areas is a plus.

Responsabilidades

  • Manage processes related to billing maintenance, accident, and damage costs.
  • Perform operational and financial analyses to support area management.
  • Monitor performance indicators and propose actions to improve results.
  • Evaluate contracts and billing criteria related to the processes under your responsibility.
  • Conduct analyses and coordinate resolutions involving internal teams and customers.
  • Prepare presentations, executive materials, and management reports.
  • Identify opportunities to improve efficiency and support continuous improvement initiatives.
  • Contribute to the enhancement of the area’s controls and processes.

Conhecimentos

Financial Analysis
Operational Analysis
Data Analysis

Formação académica

Bachelor’s degree completed

Ferramentas

Excel
Power BI
SQL

Descrição da oferta de emprego


  • Manage processes related to billing maintenance, accident, and damage costs.

  • Perform operational and financial analyses to support area management.

  • Monitor performance indicators and propose actions to improve results.

  • Evaluate contracts and billing criteria related to the processes under your responsibility.

  • Conduct analyses and coordinate resolutions involving internal teams and customers.

  • Prepare presentations, executive materials, and management reports.

  • Identify opportunities to improve efficiency and support continuous improvement initiatives.

  • Contribute to the enhancement of the area’s controls and processes.


Requirements


  • Bachelor’s degree completed.

  • Experience in analytical, financial, operational, or related areas.

  • Advanced knowledge of Excel and Power BI.

  • Experience analyzing KPIs and preparing management reports.

  • Ability to use data analysis to support decision-making.

  • Knowledge of SQL.

  • Experience with Python is a plus.

  • Experience in operations, maintenance, cost management, billing, or administrative processes is a plus.

  • Experience working in environments involving strong collaboration across different business areas is a plus.


Core Competencies

Demonstrates expertise in financial and operational analysis, utilizing advanced Excel and Power BI for data-driven decision-making. Proficient in evaluating contracts, managing billing processes, and enhancing operational efficiency through collaboration and continuous improvement initiatives.


Highest-signal resume keywords


  • Financial Analysis

  • Operational Analysis

  • Advanced Excel

  • Power BI

  • SQL


Hard Skills


  • Financial Analysis

  • Operational Analysis

  • Data Analysis

  • KPI Analysis

  • Billing Management

  • Contract Evaluation

  • Process Improvement

  • Python


Soft Skills


  • Collaboration

  • Communication


Industry Keywords


  • Cost Management

  • Billing Processes

  • Operational Efficiency

  • Continuous Improvement


Tools & Technologies


  • Excel

  • Power BI

  • SQL

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