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Data Analyst Associate

Bavarian Capital

Remote · Jornada completa

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Experiencia
Cualquier
Salario
Vacantes
1
Al corriente
hace 21 horas
Modo de trabajo
Trabajar desde casa
Educación
Degree in finance, economics, statistics or related field
Reanudar
Se requiere solicitud

Descripción del trabajo

About the Position

Bavarian Capital is partnering with a Riyadh-based investment firm undergoing international expansion and is recruiting a Data Analyst Associate to support this growth by supplying well-organized empirical data and supporting research accuracy. This role is integral to delivering reliable investment insights and maintaining thorough research standards.

Role Overview

As a foundational member of the data team, your primary responsibility involves gathering and preparing financial information precisely. You will collaborate closely with research teams to uphold data integrity and formatting standards essential for strategic decisions. This fully remote role demands strong self-direction and a meticulous approach to daily tasks, providing crucial clarity necessary to assess long-term investment prospects. The company values careful analysis over speed and expects team members to uphold the quality and integrity of their work.

Core Responsibilities

  • Gather and systematize historical financial data from diverse public and private sources to aid investment modeling.
  • Cleanse and verify raw datasets to adhere strictly to the firm's accuracy and reliability criteria.
  • Maintain and update internal databases, ensuring that the investment team has access to the latest market data.
  • Produce clear, accessible visualizations to depict financial trends and patterns effectively.
  • Support the generation of regular client reports focusing on performance dynamics and market steadiness.
  • Work alongside fellow analysts to detect and correct inconsistencies in financial documentation.
  • Track essential metrics across asset classes and notify the team concerning significant changes according to established guidelines.
  • Document the procedures and methodologies for data gathering to promote consistency across the research division.

Qualifications and Requirements

  • Academic degree in finance, economics, statistics, or a similar discipline emphasizing quantitative analysis.
  • Basic proficiency in data handling tools such as Excel, SQL, or common statistical applications.
  • Strong organizational and logical thinking abilities with a preference toward systematic workflow.
  • Effective written and verbal communication skills suitable for remote collaboration.
  • Precision and attention to detail in managing complex data sets.
  • Enthusiasm to learn foundational principles of capital management and investment research.
  • Dependability in meeting deadlines and self-managing work schedules without direct supervision.
  • Professional demeanor paired with strict confidentiality concerning sensitive information.

Benefits and Work Environment

  • Permanent full-time employment within a well-established and professional investment organization.
  • Remote work flexibility, enabling you to operate from any location.
  • A calm, focused atmosphere that encourages deep concentration and thoughtful work.
  • Hands-on involvement in significant investment projects serving a major institutional client.
  • Growth prospects through professional development and progressive skill enhancement.
  • A respectful culture promoting clear communication and autonomy.
  • Access to all necessary software and tools required to perform duties efficiently.
  • Competitive compensation aligned with the role and candidate's experience.

About Bavarian Capital

Bavarian Capital creates a stable, remote-first workplace for individuals who value careful, steady professional progress. The company emphasizes making sound decisions and maintaining high standards consistently rather than reacting to urgent pressures. Joining this firm offers an environment where individual contributions matter, logical analysis drives success, and careers are cultivated through dedication and professionalism.

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