About the Position
At Harmonya, we’re proud to be at the forefront of the AI revolution. As a Data Analyst on the DataOps team, you’ll play a key role in ensuring the integrity and reliability of our data systems.
Your primary focus will be on data quality assurance — auditing datasets, identifying anomalies, validating transformations, and ensuring consistency across our machine learning pipelines.
This role is ideal for someone who’s passionate about data, detail-oriented, and eager to support high-impact AI solutions.
We're looking for a data analyst with strong analytical skills and a commitment to maintaining data quality at scale.
Conduct data audits and validation checks to ensure accuracy, completeness, and consistency across diverse data sources.Responsibilities
- Perform exploratory data analysis to identify anomalies, edge cases, and inconsistencies that could affect model performance.
- Automate and monitor data quality by building tools, dashboards, or queries, and by investigating root causes of data issues, proposing improvements, and tracking their resolution.
- Evaluate external data sources for usability, schema compliance, and alignment with business goals.
- Collaborate across teams—including Product Managers, Data Scientists, Engineers, and Labeling Specialists—to understand user needs and ensure the delivery of robust, scalable ML solutions with high-quality data throughout the pipeline.
Requirements
- At least 2 years of experience in data, analytics, or QA roles.
- Fluency in written and spoken English at a professional level.
- Strong attention to detail and the ability to work independently while maintaining accuracy and efficiency.
- Excellent verbal and written communication skills.
- Critical thinking and strong problem-solving abilities.
- Basic knowledge of SQL and familiarity with databases or query languages (SQL preferred).
- Proven experience in improving or overhauling analytical processes or tools.
Advantages
- Experience working with or alongside Data Scientists.
- Familiarity with data science workflows and processes.
- Practical experience with Python.
- Knowledge of statistics and statistical thinking.
- Exposure to projects involving machine learning or predictive modeling.
Apply here:
- https://www.harmonya.com/jobs/data-analyst-temporary-maternity-leave-replacement
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