Data Insights Specialist
hace 4 días
About RavenPack
We are a leading big data analytics provider for financial services, empowering our clients to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows.
Join us in shaping the future of finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year's Top 100 Next Unicorns by Viva Technology. You will be working on Bigdata.com, a next-generation platform aimed at transforming financial decision-making.
We're looking for a Data Insights Specialist to drive cloud analytics and ensure the accuracy and usability of structured datasets.
Key Responsibilities
Dataset 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, including data science, product, and engineering, to deliver high-quality outputs.
- Translate complex data findings into understandable insights for both technical and non-technical stakeholders.
Qualifications
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.
What's in it for You?
You will work in an international environment, enjoy a competitive salary of approximately $85,000-$110,000 per annum, depending on experience, and have opportunities for continuous learning and innovation.
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