Analista de Dados Funcional Sênior (Mercado Financeiro)

New
J
JobgetherFinancial services
100% remote work from Brazil.Full-TimeSenior
Salary not disclosed
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Job Details

Experience
At least 3 years of experience in data analysis, Business Intelligence (BI), or analytics within the financial services industry.
Required Skills
Business IntelligenceData AnalysisMicrosoft Power BIData engineeringData modeling

Requirements

  • Have at least 3 years of experience in data analysis, Business Intelligence (BI), or analytics within the financial services industry.
  • Know investment funds, including fixed income, multi-market, and equity funds.
  • Understand financial indicators, investment performance metrics, and risk analysis.
  • Have experience gathering business requirements and collaborating with business stakeholders.
  • Be familiar with data visualization tools, preferably Power BI.
  • Have basic knowledge of data modeling and data engineering concepts.
  • Communicate complex technical concepts as clear business requirements.
  • Bring an analytical, structured, and detail-oriented approach to financial data.
  • Financial market certifications such as CPA-20, CEA, or CFA are listed as nice to have.
  • Experience with ANBIMA, CVM, or Bloomberg data sources; SQL and data manipulation; data UX or dashboard design; and Agile methodologies such as Scrum and Kanban are listed as nice to have.

Responsibilities

  • Act as the main contact between business stakeholders and technical data teams.
  • Gather, structure, analyze, and document business requirements related to investment funds and financial data.
  • Translate business needs into functional and technical specifications for data engineers and visualization specialists.
  • Support the development of dashboards, reports, and analytical solutions with engineering and DataViz teams.
  • Ensure delivered solutions meet stakeholder expectations, business objectives, and data quality standards.
  • Define, monitor, and analyze financial metrics and KPIs, including profitability, volatility, Sharpe ratio, fundraising, and redemptions.
  • Validate dashboards and management reports for accuracy and usability.
  • Contribute to data standardization, consistency, and governance initiatives in the investment environment.
  • Facilitate communication between technical and non-technical teams throughout project delivery.
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