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GTM Analytics Engineer

unlimited holidays - fully flexible
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

4+ years of experience in data roles, Advanced proficiency in SQL, Experience with BI tools like Sigma and Tableau, Strong understanding of ETL processes, Understanding of GTM datasets and SaaS industry.

Key responsabilities:

  • Develop a robust data platform.
  • Architect and implement scalable data pipelines.
  • Manage metrics and models lifecycle.
  • Design tools for data analysis.
  • Collaborate with cross-functional teams effectively.
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Chainguard Computer Hardware & Networking Scaleup https://chainguard.dev/
51 - 200 Employees
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Job description

Open Source has taken over the world of software development; however, the largest trade-off still persists: security. Companies spend an enormous amount of time and resources patching and fortifying open source software in order to ship with confidence & compliance. 

Founded by the industry's leading experts on open source software, security and cloud native development, Chainguard has built the largest library of open source software that is secure by default. Customers including Snowflake, Canva, and HPE rely on Chainguard to build securely with open source software across the organization.

Chainguard is the safe source for open source.

About Us

We live and breathe our company values:

We are customer obsessed - Our true advantage is the strength of our relationships with customers through collaboration, empathy, and responsiveness.  We establish trust as we educate, advocate, and listen to their needs.  Our focus is on delivering solutions to our customers that create value and make their lives better. 

We have a bias for intentional action - We’re a start-up and we need to move fast. However we need to move fast through intentional action to make sure we’re able to deliver quickly and efficiently on what is most impactful to our collective success.  We prioritize, plan, try things, and fail fast.  We think about how what we do impacts other teams and communicate our progress - owning the whole solution from start to finish. If we move fast enough, we can make two or three mistakes, learn, and correct them before competitors even make their first decision.

We don’t take ourselves too seriously (but we do serious work) - Though we are solving an important problem which takes focus and a degree of seriousness, we don’t take ourselves too seriously while we do.  We laugh, have fun, embrace uniqueness, and enjoy the journey. Together.

We trust each other and assume good intentions - We hire great team members and trust them to do their work. We’re transparent with data, news, and decisions - positive or negative - to empower team members to make well informed decisions. Showing up for each other fully means we celebrate each other’s accomplishments as well as give compassionate direct feedback when needed.  We always default to assuming good intentions.

The role, in a nutshell:

We are looking for a Go-to-Market Analytics Engineer to join our Analytics team within the GTM Strategy and Operations function. In this key role, you will play a pivotal part in shaping a data-driven culture, optimizing decision-making processes, and spearheading strategic initiatives through advanced analytics. Your expertise will be critical in delivering insights that empower informed decisions, all within a dynamic, fast-paced, and hyper-growth environment.

What you’ll do:

  • Develop a best-in-class data platform that empowers critical business decisions and serve as the subject matter expert for the sources of truth within our GTM data ecosystem.
  • Architect, design, and implement scalable and robust data pipelines with best in class tech maintaining comprehensive documentation throughout the process. 
  • Manage the entire lifecycle of metrics and models, from initial prototyping through to production deployment and ongoing optimization.
  • Design and enhance tools, including dashboards, that enable the team to independently extract, analyze, and translate data into actionable insights.
  • Partner with data analysts and other data teammates to design and build data models that support analytical and reporting needs.
  • Develop, optimize, and maintain ETL processes to seamlessly integrate data from multiple sources into our data lake.
  • Play a critical role in shaping the future direction of the analytics infrastructure as our company scales 
  • Build partnerships with Sales, Marketing, CS, and Finance, who are the consumers of the data through effective communication and and knowledge sharing

What we're looking for:

  • 4+ years of experience in a relevant Data role (data or analytics engineering)
  • Proven ability to operate within a fast-paced, hyper growth environment and propose domain-relevant solutions based on industry best practices
  • Advanced proficiency in SQL, with proven experience in designing and building scalable data pipelines and infrastructure.
  • Experienced in using business intelligence tools (Sigma, Tableau, Looker, Mode, Hex) to communicate complex data into actionable insights and enable self-serve.
  • Strong understanding of data warehousing concepts, ETL processes/workflows, and data modeling techniques.
  • Excellent problem-solving skills and the ability to work independently in a fast-paced environment.
  • Best-in-class attention to detail and unwavering commitment to data governance, accuracy, and compliance best practices.
  • Understanding of the GTM datasets, SaaS industry, and business levers of impact
  • Proficiency in other quantitative programming languages is a plus.

A few of the benefits we offer (for our full time employees):

  • Equity/stock options
  • Unlimited PTO
  • Remote work with flexible coworking and team meetup opportunities
  • Home office and internet stipend
  • 100% health/dental/vision insurance coverage for you and your family
  • Monthly Wellness budget

If your experience is close but doesn’t fulfill all requirements, please apply. Chainguard is on a mission to build the best team. To achieve our goal, we are focused on hiring “Guardians'' with unique backgrounds, perspectives, and experiences.

Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

For US based roles - Chainguard participates in E-Verify and will provide the federal government with employee Form I-9 Information to confirm authorization to work in the U.S. Chainguard, Inc. only uses E-Verify once a candidate has accepted a job offer and completed the Form I-9. If E-Verify cannot confirm that an employee is authorized to work, Chainguard, Inc. will give the employee written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so the employee can begin to resolve the issue before any adverse employment action is taken. For more information about your right to work, please see the Notice of Right to Work.

By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard’s Privacy Policy.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Computer Hardware & Networking
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Communication
  • Detail Oriented

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