Analista de Dados Funcional Sênior(Mercado Financeiro)

JobgetherBrazilRemoteFull-timeMid level, 2–5 yearsListed 2 hours ago

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About this role

Accountabilities:

- Act as the main point of contact between business stakeholders, including portfolio managers, Product Owners, product teams, and commercial areas, and technical data teams.

- Gather, structure, analyze, and document business requirements related to investment funds and financial data.

- Translate business needs into clear functional and technical specifications for data engineers and visualization specialists.

- Support the development of dashboards, reports, and analytical solutions in collaboration with engineering and DataViz teams.

- Ensure that delivered solutions meet stakeholder expectations, business objectives, and data quality standards.

- Define, monitor, and contribute to the analysis of key financial metrics and KPIs, including profitability, volatility, Sharpe ratio, fundraising, and redemptions.

- Validate dashboards and management reports, ensuring accuracy, usability, and a positive user experience.

- Contribute to data standardization, consistency, and governance initiatives within the investment environment.

- Facilitate communication between technical and non-technical teams to ensure alignment throughout project delivery.

Requirements:

- At least 3 years of experience in data analysis, Business Intelligence (BI), or analytics within the financial services industry.

- Knowledge of investment funds, including fixed income, multi-market, and equity funds.

- Understanding of financial indicators, investment performance metrics, and risk analysis.

- Experience gathering business requirements and collaborating with business stakeholders.

- Familiarity with data visualization tools, preferably Power BI.

- Basic knowledge of data modeling and data engineering concepts.

- Strong communication skills, with the ability to translate complex technical concepts into clear business requirements.

- Analytical, structured, and detail-oriented mindset, particularly when handling financial data.

- Genuine interest in financial markets, investments, and data-driven business decisions.

- Proactivity, ownership, organizational skills, and the ability to manage multiple priorities effectively.

Nice to have:

- Financial market certifications such as CPA-20, CEA, or CFA.

- Experience working with financial data sources such as ANBIMA, CVM, or Bloomberg.

- Knowledge of SQL and data manipulation.

- Experience with data UX, dashboard design, or improving data visualization experiences.

- Familiarity with Agile methodologies, including Scrum and Kanban.

- Strong stakeholder management and the ability to influence decisions across different business areas.

Benefits:

- 100% remote work from Brazil.

- Opportunity to work on data and analytics initiatives within the financial services and investment industry.

- Exposure to investment funds, financial performance indicators, and risk analytics.

- Collaboration with multidisciplinary teams across business, data engineering, and technology.

- Opportunity to contribute to strategic data solutions and business decision-making.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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