Data Solutions Architect (EMEA)

The role involves expanding Anomalo's global customer solutions presence within the EMEA region by focusing on data quality monitoring and advising customers on best practices. The individual will work directly with enterprise clients to address complex data monitoring challenges while developing relationships with technical peers in data engineering and data science. They will also collaborate with global teams to innovate and enhance the company's product offerings. Overall, the position emphasizes providing expert guidance and ensuring customer success through effective data management.

Required Qualifications and Skills

The role requires a minimum of 8 years of experience in data analytics, with strong proficiency in SQL and experience in data analysis using R or Python. A bachelor's degree or higher in Mathematics, Statistics, Computer Science, or a related discipline is necessary, or equivalent practical experience. Candidates should also have experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift, and should be capable of advising on various data quality issues. A proven track record of communicating analytical insights to customers is essential.

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About the company Anomalo Description

Anomalo employs Machine Learning to confront and solve data quality issues, leveraging advancements in Large Language Models to democratize and enhance data quality monitoring across its user base. Their technological approach emphasizes the relevance of ML tools modeled for interpretability, innovation in automated anomaly detection, and continuous model iteration for optimal effectiveness. The company collaboratively develops user-centric, sophisticated solutions that cater to a diverse range of sectors including healthcare, finance, and consumer goods.