Senior Data Analyst - Structured Data Agents

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 clients—including some of the world's most successful hedge funds, banks, and asset managers—to 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 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

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 in-depth evaluations, and delivering actionable insights.

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?

• 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!)