Data Analyst
hace 4 semanas
RavenPack is at the forefront of developing the next generation of generative AI tools for the finance industry, empowering clients to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows.Key Responsibilities:
- Conduct thorough research on companies, individuals, products, and other entities.
- Add data, such as common names and identifiers, to our entity knowledge-graph.
- Utilize RavenPack's proprietary NLP software to identify and detect entities in text.
- Perform quality control on data entries made by the team.
- Address and resolve misdetections reported by clients in a detailed and organized manner.
- Effectively prioritize and manage workload while handling multiple projects simultaneously.
- Strong analytical thinking skills to investigate complex issues and identify cause-and-effect relationships.
- Ability to develop solutions and deepen understanding of various topics.
- Proficient in web searching and sourcing information, including Boolean search techniques.
- Familiarity with web and social media applications.
- Proficiency in Microsoft Office and Google Docs.
- Exceptional attention to detail.
- Ability to work both independently and as part of a team.
- Clear and effective communication skills.
- Strong organizational skills.
- Knowledge of project management, planning, and time management.
- Understanding of the interdependencies between technology, operations, and business needs.
- Ability to identify needs and propose process improvements.
- Proficiency with JIRA and Confluence platforms.
- Creative and innovative problem-solving skills.
- Ability to translate complex technical concepts into clear, non-technical terms.
- Excellent collaboration skills, with the ability to work effectively with cross-functional teams.
- Analytical mindset with the ability to use data to drive decision-making.
- Experience in conducting user research and gathering feedback to inform product development.
- Bachelor's Degree in Business Administration, Political Science, or a related field is preferred but not required.
- High interest in current world affairs.
- Ability to identify project scope and deliverables.
- Strong verbal and written communication skills.
- Comfortable working with ambiguity and evolving priorities.
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