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.About us RavenPack is the leading big data analytics provider for financial services. Financial professionals rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured content. RavenPack's products allow clients to enhance returns, reduce risk and increase efficiency by systematically incorporating the effects of public information in their models or workflows. Our clients include the most successful hedge funds, banks, and asset managers in the worldOnly candidates with EU legal working status will be considered.About the Role Are you fascinated by big data, natural language processing, machine learning, data analysis, low-latency streaming data feeds? Are you passionate about playing with the data, understanding patterns and detecting anomalies? Would you like to work with an international team of superstars in building a world class Data and Analytics platform? If you answered yes, then you could be a candidate to join the Data Services product team at RavenPack.RavenPack has built a world-class platform for processing public media text content, with state-of-the-art classification technology in order to transform it into structured data that can be used to understand events as they happen in the world.As a Senior Product Data Analyst, you will take on a key role in the Data Services. You will be responsible for ensuring the accuracy, completeness, and consistency of data across various databases and systems. You must possess a keen eye for detail, strong problem-solving skills, and the ability to work effectively both independently and as part of a team. Working as a data validation expert, you will play a crucial role in maintaining data integrity and reliability, ultimately contributing to the success of our organization.What you Need to Succeed Proven experience (5+ years) working in data validation, data quality assurance, data analysis, or a similar roleHigh proficiency in SQL and PythonFamiliarity with data analytics and visualization tools (e.G. Tableau, Power BI, Grafana, Amplitude) is a plusExperience with data validation tools and techniques, such as data profiling, data cleansing, and data reconciliationStrong analytical and problem-solving skills with the ability to think critically and logicallyExcellent attention to detail and accuracy with a commitment to producing high-quality workPassion for exploring the data, spotting patterns and detecting inconsistenciesAbility to clearly document findings, summarize them and present to the stakeholdersThe ability to communicate effectively in English both in writing and verbally is a must. Knowledge of Spanish is not a business requirement
