Senior Analytics Engineer, Go-To-Market Strategy & Programs

Klaviyo Inc.; Boston (MA); Hybrid; USD 100,000 - 130,000; Full time

Job summary

A leading company is seeking a Senior Analytics Engineer to drive technical solutions within their Go-to-Market organization. This hybrid opportunity in Boston focuses on data governance, backend data modeling, and collaboration with cross-functional teams to optimize business analytics and reporting.

Qualifications

• 3-5 years of experience in analytics/business operations.
• 2-3 years data/software engineering experience.
• Experience with CRM systems like Salesforce.

Responsibilities

• Develop and maintain backend data models for GTM metrics.
• Implement data governance structures.
• Create systems for monitoring ETL pipelines.

Skills

SQL

Python

Java

DBT

data governance

data modeling

reporting tools

Education

BA/BS degree in Computer Science

BA/BS degree in Engineering

Job description

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 a Senior 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.Please note this is a hybrid opportunity (3 days/week) based out of our downtown Boston office.

How you'll make a difference

• Data models and insights: Develop data models and deliver actionable insights to power predictive recommendations, marketing attribution, GTM real time reporting, strategic analysis, and financial forecasts to support the decision-making within the organization
• 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
• (Preferred) BA/BS degree in Computer Science, Engineering, or a related field
• 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
• 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

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