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GitLab

Senior Data Governance and Quality Analyst

Job Posted 11 Days Ago Posted 11 Days Ago
Easy Apply
Remote
Hiring Remotely in US
84K-180K Annually
Senior level
Easy Apply
Remote
Hiring Remotely in US
84K-180K Annually
Senior level
As a Senior Data Governance and Quality Analyst, you will enforce data governance standards, manage the data catalog, and perform data quality assessments. You will collaborate with various teams to resolve governance issues, enhance data governance processes, and provide mentorship to junior team members.
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GitLab is an open core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating the rate of human progress. This mission is integral to our culture, influencing how we hire, build products, and lead our industry. We make this possible at GitLab by running our operations on our product and staying aligned with our values. Learn more about Life at GitLab.

An overview of this role

As a Sr. Data Governance and Quality Analyst joining our team, you will collaborate with cross-functional teams to implement and enforce data governance standards, manage data catalog, perform data quality assessments, and contribute to the overall success of the Data governance and data quality program and roadmap.

You can learn more about the Enterprise Data Team and Data Governance and Quality Team here.

What You’ll Do  

  • Solve technical problems of high scope and complexity including projects such as Account Data Mastery, Data Quality Programs etc.
  • Build close relationships with other functional teams to truly democratize data understanding and access
  • Proactively identify, prioritize, and lead the resolution of governance and quality issues for enterprise data assets with data stewards and stakeholders
  • Maintain and enhance Data Governance processes. Work with Security, Legal, Compliance teams to define data policies and work with cross functional teams to implement controls and procedures to ensure compliance
  • Contributes in building data dictionary and implementing business requirements for Data Catalog
  • Coordinates with data domain stewards and subject matter experts to define/validate business definitions for data elements, review data lineage and maintain metadata for data elements
  • Provide mentorship for Associate and Intermediate members of the team to help them grow in their responsibilities

What You’ll Bring 

  • 6+ years experience in an analytics role and data governance role
  • Experience in drafting and implementing data governance policies, procedures and standards
  • Strong understanding of Master Data Management,  preferable is there is prior experience in it 
  • Fluent in all Data Analysis technologies defined in the Data Team Platform
  • Deep understanding of SQL, Data Visualization and Business Intelligence practices
  • Have demonstrated experience in Data Catalog implementation and support at an enterprise level
  • Strong knowledge in data architecture and data engineering, good understanding of data sources, transformation rules, and uses of the data for the area of stewardship
How GitLab will support you
  • Benefits to support your health, finances, and well-being
  • All remote, asynchronous work environment
  • Flexible Paid Time Off 
  • Team Member Resource Groups
  • Equity Compensation & Employee Stock Purchase Plan
  • Growth and Development Fund
  • Parental leave 
  • Home office support

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.

Remote-Global

The base salary range for this role’s listed level is currently for residents of listed locations only. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, and alignment with market data. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.

California/Colorado/Hawaii/New Jersey/New York/Washington/DC/Illinois/Minnesota pay range

$84,000$180,000 USD

Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.  

Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.

GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

Top Skills

Business Intelligence
Data Analysis Technologies
Data Architecture
Data Catalog Implementation
Data Engineering
Data Governance
Data Quality
Data Visualization
SQL

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