Data Insights Specialist
hace 16 horas
We are a pioneering big data analytics provider, empowering clients to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows.
With 20 years of experience, we are now launching a new suite of GenAI and SaaS services, designed specifically for financial professionals.
Job DescriptionThis role focuses on driving the exploration and evaluation of structured datasets, ensuring accuracy and usability. The ideal candidate will be adept at understanding datasets, performing in-depth evaluations, and delivering actionable insights.
Key Responsibilities- Data Exploration & Analysis:
- Rapidly explore new datasets to identify trends, anomalies, and nuances.
- Conduct in-depth evaluations to validate data quality and alignment with project objectives.
- Generate actionable insights to optimize the use of structured data in AI systems.
- Validation & Quality Assurance:
- Design and execute data validation protocols to ensure the accuracy and consistency of structured datasets.
- Collaborate with the development team to identify and resolve data inconsistencies and corner cases.
- Collaboration & Communication:
- Work closely with cross-functional teams to deliver high-quality outputs.
- Translate complex data findings into understandable insights for technical and non-technical stakeholders.
- Required Skills:
- Expertise in analyzing large structured datasets (SQL) in cloud environments (Snowflake, AWS), QA processes, and anomaly identifications.
- Proficiency in Python for data processing and data manipulation.
- Familiarity with data visualization tools (streamlit) to present findings effectively.
- Excellent attention to detail and ability to draw insights from complex datasets.
- Strong communication skills to collaborate and share findings across teams.
- Education & Experience:
- Bachelor's degree in Data Science, Statistics, Computer Science, Engineering or Finance related fields (Master's preferred).
- 3+ years of experience in data analysis.
- International Culture: With its headquarters in Spain and presence in New York and London, RavenPack takes pride in being a diverse global organization.
- Competitive Salary: In RavenPack, we believe that your time and experience needs fair compensation.
- Continuous learning: We provide the support needed to grow within the team.
- Innovation: Innovation is key to our success, so we encourage you to share your vision.
- Hybrid work arrangement.
- Diversity is in our DNA You will work in an international environment (over 29 nationalities and 24 languages spoken).
- Estimated annual salary: $120,000 - $180,000 depending on location and experience.
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