Senior Data Analyst - Data Quality

Описание

The Data Quality team investigates complex data questions, validates the quality and reliability of Placer’s data products, and helps customer-facing teams understand data insights. This role involves hands-on investigation in Databricks, working with large datasets, and challenging assumptions to ensure data accuracy.

Responsibilities

• Investigate complex data quality questions and customer-reported data discrepancies across Placer’s products and datasets
• Work hands-on in Databricks, writing code and building notebooks to explore and analyze large-scale datasets
• Dig into data to identify patterns, anomalies, root causes, and potential quality issues
• Build investigative analyses and QA processes using SQL and Python
• Design and perform rigorous validations to determine whether data and analytical outputs are reliable
• Form hypotheses, test them against the data, and keep digging when the first answer doesn’t fully explain what you’re seeing
• Challenge assumptions and distinguish between expected data behavior, methodological limitations, and actual data issues
• Work closely with Data Science, Engineering, Product, and other R&D teams to investigate issues and drive them toward resolution
• Partner with Commercial and customer-facing teams to understand the business context behind data questions and provide clear, practical answers
• Translate technical findings and methodology into explanations that non-technical stakeholders can understand
• Identify recurring issues and patterns and help improve our data quality processes, monitoring, and methodologies
• Use AI-assisted tools to accelerate investigation and coding while maintaining strong independent judgment and verification

Requirements

• 5+ years of experience in data analytics, data research, business analytics, or a similar analytical role
• Strong SQL skills and experience working with large and complex datasets
• Hands-on experience with Python for data analysis, investigation, and QA
• Experience working with Databricks or a similar large-scale data environment, including writing code and creating analytical notebooks
• Strong analytical and problem-solving skills, with a demonstrated ability to investigate ambiguous problems independently
• Excellent QA instincts and attention to detail - you naturally question results that don’t make sense and know how to validate them
• Solid understanding of statistics, data quality, and analytical methodologies
• Experience using AI-assisted analytical and coding tools such as Claude Code, Cursor, or similar tools, with the judgment to know when to trust, verify, or challenge their output
• Strong business orientation and the ability to understand data questions in the context of customer and business needs
• Excellent written and spoken English
• Strong communication skills and comfort working directly with customer-facing and Commercial teams
• Ability to communicate complex analytical findings clearly to both technical and non-technical audiences
• Ability to independently own investigations across multiple teams and drive them through to conclusion

Nice to have

• You enjoy exploring data even when nobody asked you to
• B.Sc. in a quantitative field

We offer

• Take a central and critical role at Placer.ai
• Work with, and learn from, top-notch talent
• Competitive salary
• Excellent benefits