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.
About Harmonya:
Retailers and CPG brands rely on product data to make critical decisions, but outdated systems limit what’s possible. Harmonya changes that.
Our AI-powered solutions transform fragmented, inconsistent product data into a dynamic, structured, and enriched source of truth.
By analyzing trillions of alternative data points, we help leading CPGs and retailers—including Coca-Cola, Nestle, PepsiCo, and more—gain deeper insights, improve product discovery, and make smarter, faster decisions.
Founded in 2021, Harmonya is backed by investors including Bright Pixel, Team8, Susa Ventures, J Ventures, and others.
