Compensation modeling: 

Data governance: Implement governance structures to ensure data integrity. Provide comprehensive documentation in order to help the analytics community self-serve their needs Monitoring: Create systems for monitoring ETL pipelines and resulting reporting while evaluating progress towards strategic objectives and potential risks to strategic goals  Manage data scale: Facilitate use of petabyte scale databases optimized for business analytics Cross functional alignment: Effectively collaborate across disciplines such as GTM Operations, Product, Business Intelligence, and Finance to identify sources of data, and optimize analytical approaches Project scoping: Inform project data requirements in cross functional project, including work in the upstream systems (Salesforce, Zendesk, etc) of GTM, API buildout, auditing, and reporting as needed Data quality: QA/QC of code written for production by multiple organizations throughout the Klaviyo analytics community Repository maintenance: Collaboratively maintain the GTM DBT repository of data models becoming the subject matter expert on the the lineage of information in our data warehousing tools Subject matter expertise: Become a subject matter expert on Go-To-Market data and analytics and disseminate best practices to the broader GTM Analytics community   Continuous improvement: Apply a continuous improvement lens to project processes and outcomes, contributing to the overall effectiveness and efficiency of the GTM organization. Who you are: 3-5 years of professional experience in an analytics / business operations / consulting role 2-3 years of data or software engineering experience, including expertise in SQL, DBT, and object-oriented programming languages (Python, Java, or C++) 2-3 years of experience working in GTM systems: CRMs, TMS, LMS, CMS, MAPs, PLMs, etc Demonstrated knowledge of compensation design and implementation of data modeling for compensation programs Able to work through complex data models that relate to the contextual needs of the business in areas of: Finance, Customer Success, Support, Sales Demonstrated understanding of reporting tools such as Tableau/Looker/Thoughtspot Demonstrated knowledge of data engineering best practices (data discovery, data documentation, infrastructure development/deployment, and information security) Demonstrated understanding of data governance best practices and the ability to implement those practices in scaling organizations Experience managing the deployment of new tools and technologies Systematic thinker who enjoys finding creative technical solutions to hard problems by collaborating closely with your team Strong communication and organizational skills, a demonstrated ability to partner with business leaders, and experience communicating technical concepts to non-technical executive audiences Balance attention to detail with swift execution, including the ability to deliver on tight timelines and navigate ambiguity Proven track record of taking ownership and driving results Self-motivated and have the ability to work independently Education and Experience: (Preferred) BA/BS degree in Computer Science, Engineering, or a related field We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey hereMassachusetts Applicants:It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.