Senior Analyst, Data Quality

At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.

For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.

As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!

Job Overview

We are seeking a Senior Analyst, Data Quality, to lead and execute our enterprise data quality program. This strategic role is designed for an experienced data professional with 3–5 years of hands-on experience in data quality management, data profiling, and data remediation across complex enterprise systems. As the primary owner of data quality across our organization, you will identify gaps, drive resolutions, and build scalable controls that ensure our data is accurate, consistent, and trustworthy.

In this role, you will serve as the central point of contact between business stakeholders and technical teams—including Salesforce, NetSuite, and ChurnZero—to diagnose and resolve data quality issues and implement preventative controls. You will bring strong SQL skills and deep familiarity with Salesforce data structures, using these capabilities to profile data, uncover root causes, and partner with system owners to establish durable quality checks Experience with customer and contact de-duplication and customer hierarchy is a big plus as you will drive initiatives focusing on these objectives.

This position offers the opportunity to shape how our organization manages data as a strategic asset, balancing immediate remediation needs with long-term quality improvements that support operational excellence and future analytical and AI-driven initiatives.

Responsibilities:

• Lead Data Quality Program – Design, implement, and manage enterprise-wide data quality initiatives, working closely with data owners and business stakeholders to identify quality gaps, prioritize remediation efforts, and track progress against quality benchmarks.
• Identify and Resolve Data Quality Gaps – Conduct ongoing data profiling and analysis across key enterprise systems—including Salesforce, NetSuite, and ChurnZero—to surface data quality issues, determine root causes, and collaborate with business stakeholders to define and execute resolution strategies.
• Manage customer data unification and hierarchy management – Run and maintain matching and hierarchy assignment and work with business stakeholders to conduct reviews on time
• Implement Controls and Checks – Partner with Salesforce, NetSuite, and ChurnZero system teams to design and implement data validation rules, automated checks, and preventative controls that reduce data quality issues at the point of entry.
• Manage Data Quality for Key Data Objects – Own end-to-end data quality management for critical data assets, including defining quality dimensions, building monitoring processes, and reporting on quality trends over time.
• Leverage External Data Vendors – Collaborate with external data providers such as ZoomInfo and Dun & Bradstreet to enrich, validate, and standardize enterprise data, ensuring alignment between third-party data and internal records.
• Develop Data Standards and Definitions – Create and maintain data standards and field-level definitions to ensure consistent data entry and usage across all departments and systems.
• Monitor and Report on Data Quality Metrics – Establish KPIs for data quality success, regularly assess program effectiveness, and provide executive reporting on data quality improvements, remediation status, and control adoption.

Experience, Skills, Abilities, Education, and Certifications

• 3–5 years of relevant experience in Enterprise Data Management with a strong focus on Data Quality Management and data remediation
• Strong SQL skills required; ability to write complex queries for data profiling, analysis, and quality monitoring
• Strong experience with Salesforce data structures and data management within the Salesforce platform
• Good experience in driving data quality standardization and establishing controls across the enterprise
• Experience working with external data vendors such as ZoomInfo and Dun & Bradstreet is a significant plus
• Experience with NetSuite and/or ChurnZero data is a plus
• Exposure to AWS and Snowflake is a plus
• Experience with Generative AI and using AI to drive data quality and metadata management is a plus
• Proficiency in Data Modeling for analytical purposes is a plus
• Demonstrated ability to prioritize work to meet multiple, competing deadlines
• Ability to work independently and collaboratively to achieve goals, deadlines, and desired results
• Effective oral, written, and interpersonal communication skills
• Bachelor's degree in Mathematics, Engineering, Economics, Business Management, Computer Science, Statistics, or a related field preferred

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.