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Senior Data Analyst

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We are seeking a highly analytical professional with strong proficiency in Python and SQL to contribute to the scaling of our project by supporting data acquisition, cleansing, and validation processes.

Roles & Responsibilities:

  • Conduct continuous data exploration and analysis to identify opportunities for enhancing data matching logic and improving overall data quality.
  • Perform various analyses aimed at improving data quality within our system, including identifying issues and implementing solutions.
  • Participate in weekly sessions to demonstrate data insights and analysis.
  • Support data acquisition, cleansing, and validation processes for new markets.
  • Analyze SCI records after batch ingestion and proactively identify insights to improve data quality.
  • Collaborate with stakeholders to facilitate manual validation of records and communicate findings clearly.

Requirements:

  • Strong proficiency in Python and SQL.
  • Experience using Jupyter Notebook for data analysis and visualization.
  • Working knowledge of data matching techniques, including fuzzy logic.
  • Ability to work with large datasets from various sources.
  • Solid understanding of data quality principles and methodologies.
  • Experience with Machine Learning, statistical modeling, and algorithms is valuable.
  • Familiarity with cloud computing platforms (AWS, Azure, GCP) and data visualization tools (Tableau, Power BI) is beneficial.
  • Excellent communication, collaboration, and problem-solving skills.

Qualifications:

  • Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, or a related field, or equivalent practical experience.