Junior Operational Risk and Internal Controls Analyst, Data

Jobtailor

Belo Horizonte

Presencial

BRL 60 000 - 90 000

Tempo integral

14 dias+

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Resumo da oferta

Jobtailor in Belo Horizonte is seeking a data analyst to create and maintain Power BI dashboards that support decision‑making across the bank. You will also help quantify KRIs with SQL and analyze the loss database to uncover patterns and bottlenecks.

You will automate data extraction with Python and Excel, and translate complex findings into clear management reports and executive summaries for diverse audiences.

Qualificações

  • Bachelor's degree in a related field.
  • Experience in data analysis and report preparation.
  • Proficiency with Microsoft Office (Word, Excel, PowerPoint); experience with data analysis tools and Power BI.
  • Ability to explain data insights clearly and didactically to different audiences.
  • Ability to examine data, question root causes, and propose creative solutions.

Responsabilidades

  • Create, model, and maintain dynamic dashboards in Power BI to support decision‑making.
  • Support calculation, extraction, and monitoring of Key Risk Indicators (KRIs) using SQL queries.
  • Investigate and analyze the bank's operational loss database to identify patterns, bottlenecks, and anomalous behavior through statistical analyses.
  • Collaborate with other bank departments to investigate incidents, understand root causes, gather explanations, and assist in developing action plans.
  • Use Python and advanced Excel to automate data extraction routines and manual reports.
  • Prepare management reports, presentations, and executive summaries translating technical data into business language.

Conhecimentos

Power BI
SQL
Python
Excel
Data analysis

Formação académica

Bachelor's degree in Data Science, Business Administration, Computer Science, or related field

Descrição da oferta de emprego

Responsibilities
  • Create, model, and maintain dynamic dashboards in Power BI to support decision‑making.
  • Support calculation, extraction, and monitoring of Key Risk Indicators (KRIs) using SQL queries.
  • Investigate and analyze the bank's operational loss database to identify patterns, bottlenecks, and anomalous behavior through statistical analyses.
  • Collaborate with other bank departments to investigate incidents, understand root causes, gather explanations, and assist in developing action plans.
  • Use Python and advanced Excel to automate data extraction routines and manual reports.
  • Prepare management reports, presentations, and executive summaries translating technical data into business language.
Requirements
  • Bachelor's degree in Data Science, Business Administration, Computer Science, or a related field.
  • Experience in data analysis and report preparation.
  • Proficiency with Microsoft Office (Word, Excel, PowerPoint); experience with data analysis tools and Power BI.
  • Ability to explain data insights clearly and didactically to different audiences.
  • Ability to examine data, question root causes, and propose creative solutions.
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