Senior Data Analyst - Structured Data Agents
Senior Data Analyst - Structured Data Agents
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
About us
At RavenPack we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services we empower our clientsincluding some of the worlds most successful hedge funds banks and asset managersto enhance returns reduce risk and increase efficiency by integrating public information into their models and workflows. Building on this expertise we are now launching a new suite of GenAI and SaaS services designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this years Top 100 Next Unicorns by Viva Technology. You will be working on Bigdata.com a nextgeneration platform aimed at transforming financial decisionmaking.
Were looking for
We are seeking a Senior Data Analyst to drive the exploration and evaluation of structured datasets ensuring the accuracy and usability of Structured Data Agents. This role focuses on data exploration validation and collaboration requiring a strong analytical mindset attention to detail and excellent communication skills. The ideal candidate will be adept at understanding datasets performing indepth evaluations and delivering actionable insights.
Key Responsibilities
- Dataset Exploration & Analysis:
Rapidly explore new datasets to identify trends anomalies and nuances.
Conduct indepth 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 crossfunctional teams including data science product and engineering to deliver highquality outputs.
Translate complex data findings into understandable insights for both technical and nontechnical 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:
Bachelors degree in Data Science Statistics Computer Science Engineering or Finance related fields (Masters preferred).
3 years of experience in data analysis.
Whats in it for You
International Culture: With its headquarters in Marbella Spain and presence in New York and London RavenPack takes pride in being a truly diverse global organization.
Competitive Salary: In RavenPack we believe that your time and experience needs to be fairly rewarded.
Continuous learning: We provide the support needed to grow within the team.
Innovation: Innovation is the key to our success so we encourage you to speak up and tell us about your vision.
Hybrid work arrangement
Shuttle bus: From Malaga Fuengirola La Riviera and Estepona is available for free from the company.
Diversity is in our DNA! You will work in an international environment (over 29 nationalities and 24 languages spoken!)
Employment Type
Full Time
