Lead Analytics Engineer, Go-To-Market Strategy & Programs
Salary
Pay Range For US Locations: $152,000—$228,000 USD
The Klaviyo Go-to-Market (GTM) organization is responsible for revenue delivery and customer satisfaction across our fast-growing global customer base. In our ongoing journey to optimize and innovate, we are actively seeking an Analytics Engineer to help drive technical solutions and governance that underpins the data infrastructure that provides foundational data for GTM modeling and analytics.
This role will oversee the creation of backend data models used to power centralized metrics and models used across the GTM organization. You will develop and maintain the “source of truth” data environment used to measure the health of the business and GTM programs. You will build systems for monitoring ETL pipelines and resulting reporting while evaluating progress towards strategic objectives and potential risks to strategic goals.
How you'll make a difference:
- Data Dictionary: Create a data dictionary for critical data sets to ensure clear definitions for data underlying GTM modeling and analytics Provide comprehensive documentation in order to help the analytics community self-serve their needs
- Data Models: Develop data models that power predictive recommendations, marketing attribution, GTM real time reporting, strategic analysis, and financial forecasts to support the decision-making within the organization
- Data Governance: Establish clear governance structures to ensure data integrity
- 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 Sales Operations, Product, Business Intelligence, and Finance to identify sources of data, and optimize analytical approaches
- Support delivery of actionable insights and strategic recommendations to the GTM leadership team
- 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
- 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
- Become a subject matter expert on all things Go-To-Market and how it relates to the data powering our semantic layer
- 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:
- 5+ years of professional experience in an analytics / business operations / consulting role
- 4+ years of data or software engineering experience, including expertise in SQL, DBT, and object-oriented programming languages (Python, Java, or C++)
- 2+ years of experience working in GTM systems: CRMs, TMS, LMS, CMS, MAPs, PLMs, etc
- Able to work through complex data models that relate to the contextual needs of the business in areas of: Finance, Customer Success, Support, Sales, Marketing, and Product
- Strong understanding of reporting tools like Tableau/Looker/Thoughtspot
- Strong knowledge of data engineering best practices (data discovery, data documentation, infrastructure development/deployment, and information security)
- Strong understanding of data governance best practices and the ability to implement those practices in scaling organizations
- Familiar with managing the deployment of new tools and technologies
- Systematic thinker and enjoy 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 preparing materials for an executive audience
- Balance attention to detail with swift execution, including the ability to deliver on tight timelines
- Proven track record of taking ownership and driving results
- Self-motivated and have the ability to work independently
- Education: BA/BS degree in CS, Engineering or a related field that provides a foundation for your practical experience
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