Drata is looking for a Senior Data Quality Analyst to join our Data Engineering team. At Drata, we’re on a mission to help build trust across the internet! Data accuracy is an essential cornerstone of our mission.

You will be responsible for improving the accuracy and usefulness of our organization's data, and the operational excellence of our data pipelines. As a Senior Data Quality Analyst, you'll have a solid understanding of data patterns and common error patterns, a natural curiosity to dig when you see something, and the ability to effectively communicate with your peers and leadership.

To be successful in this role you should have extensive knowledge of data analysis techniques, enjoy learning new data technologies, and be passionate about continuously improving the excellence of data and business processes. This role requires collaborating closely with data and engineering departments to implement effective automation processes and data updates so data can be mined for quality control and accuracy. Day to day activities include developing queries in Snowflake, dbt, Monte Carlo, analyzing data, developing tests to verify data pipelines and transformations are functioning to specification, monitoring and improving proprietary taxonomies, examining complex data and turning it into insights on the composition and quality of our data, monitoring database and pipelines for performance and quality control, and proactively identifying issues or ways to improve our data.

What you’ll do:

• Perform tests on large datasets to determine data quality and integrity, and quickly identify data anomalies
• Collaborate with data engineers and analysts to improve data collection and maintenance processes
• Coordinate with teams to design standards for data operations and data governance
• Deliver data analysis insights to management to inform business decisions and prioritize needs
• Document processes and maintain data records
• Develop and implement test plans and scripts for automated data quality processes
• Build and maintain manual and automated test scripts and recommend modification as per requirements

What you’ll bring:

• Bachelor's degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Data Science, Management Science or commensurate experience)
• 3+ years of experience in data quality analysis and data management
• Proficiency in SQL and Python
• Experience of best practices in data analysis and test methodologies for data pipelines and ETL
• Strong analytical and problem solving skills, outstanding attention to detail.
• Knowledge of statistical methods
• Ability to work collaboratively with cross-functional teams.

Benefits:

• Health & Wellness: 100% coverage for medical, dental, and vision plans - for employee and dependents + on demand health care concierge
• HSA, FSA, & DCFSA: Pre-tax savings plans for healthcare and dependent care
• 100% paid short and long term disability plus life + AD&D benefits
• Learning & Development: $500 annually towards professional development opportunities + $250 annually towards personal development opportunities
• Flexible Time Off: Flexible vacation policy for strong, fully charged batteries
• 16 Weeks Paid Parental Leave: An inclusive policy to ensure you have time with your newborn, newly adopted, or foster child
• Work Remotely: Flexible hours and work from home + $1,000 annually to cover necessary business related items for your home office
• Charitable Giving Program: Up to $500 match for qualified charities 
• 401K: Reach your financial goals while reducing your taxes

This role will receive a competitive base salary, benefits, and equity. The applicable salary range for each US-based role is based on where the employee works and is aligned to one of 3 tiers based on the cost of labor for that geographic area. The expected salary ranges for this role are set forth below. 

Tier 1: $119,000 - $147,000

Tier 2: $107,100 - $132,300

Tier 3: $95,200 - $117,600

You can view which tier applies to where you plan to work here. A variety of factors are considered when determining someone’s leveling and compensation–including a candidate’s professional background and experience. These ranges may be modified in the future and final offer amounts may vary from the amounts listed above.

Please continue to apply if you are unsure that you fit into our compensation structure.