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Job Description
Structured overview of role & requirementsAbout This Role
Build and maintain dashboards and reports on platform usage, model accuracy, and data quality trends to inform product decisions.
Perform exploratory analysis on large, multilingual datasets to identify patterns, data gaps, and quality issues.
Collaborate with ML and engineering teams to support data quality improvements and communicate insights to product and leadership stakeholders.
Minimum Requirements
Strong proficiency in SQL and Python with experience in data analytics libraries (Pandas, Numpy, Matplotlib).
Experience with data visualization tools such as Power BI or Tableau.
Ability to handle large-scale, unstructured, or multilingual data.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in working with multilingual and unstructured datasets, indicating ability to handle complex language service data.
Skilled in cross-functional collaboration with machine learning and engineering teams to translate data insights into product improvements.
Comfortable with end-to-end data analytics including dashboard creation, exploratory data analysis, and stakeholder communication.