Perform in-depth data profiling and analysis to identify data quality issues, anomalies, and inconsistencies.
Develop and implement data quality checks, rules, and metrics using appropriate tools and techniques.
Automate data quality checks and reporting where feasible to enhance efficiency and scalability.
Create and maintain data quality dashboards and reports to monitor data health and track improvements over time.
Investigate and diagnose the root causes of complex data quality issues.
Create Jira tickets and work collaboratively with cross-functional teams to ensure issues are resolved with proper RCA and remediation plans.
Identify opportunities to improve data quality processes, workflows, and tools.
Communicate data quality issues, risks, and progress to technical and non-technical stakeholders.
Act as a subject matter expert and advocate for data quality within the organization.
Proactively identify new data validations/checks to improve data quality.

Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, or a related quantitative field.
5+ years of experience as data quality analyst.
Strong SQL expertise for data querying, analysis, and manipulation.
Experience using Salesforce (SFDC) and a solid understanding of how to analyze and fix data quality problems in SFDC.
Ability to identify data quality issues and determine root causes.
Familiarity with the Quote-to-Cash (Q2C) process.
Experience with data warehouses (Snowflake preferred).
Strong attention to detail and ability to work under tight deadlines in a high-growth environment.
Demonstrated ability to analyze and resolve complex data quality issues.
Excellent analytical, problem-solving, and critical thinking skills.
Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences.

Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.
Use of AI Technology: We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.

Data Quality Analyst

Key skills