Sr. GTM Analytics Engineer

20 Minutes ago • 3 Years + • $97,700 PA - $170,850 PA
Data Analysis

Job Description

As a Senior Analytics Engineer, you will be a critical partner to the Global GTM Strategy & Operations and Field teams, providing the data, insights, and infrastructure needed to drive efficiency and effectiveness across the organization. You will design, build, and maintain scalable data models, curated reporting tables, forecasts, and dashboards that support everyone from senior executives to individual contributors, empowering them to make informed decisions and spend more time driving customer outcomes. Working closely with cross-functional stakeholders, you will tackle complex data challenges, improve data accessibility, and deliver solutions that bring clarity and visibility to the business. You will also play a key role in advancing our newly created AI initiatives and semantic data curation efforts.
Good To Have:
  • Github workflow experience
  • PySpark knowledge
Must Have:
  • 3+ years of experience working as an Analyst / Data Engineer / Analytics Engineer with B2B sales, marketing, or finance data (GTM experience highly preferred).
  • Advanced knowledge (3+ years) of SQL.
  • Intermediate to advanced knowledge (2+ years) of Python.
  • Experience with BI tools (e.g Databricks AI/BI, Streamlit).
  • Experience in delivering AI-driven solutions and ability to design innovative use cases as well as structure data models and tables that are optimized for AI readiness.
  • Understand how the business works and how your work impacts the wider GTM team.
  • Proven track record of working cross-functionally and building strong partnerships with a wide range of stakeholders.
  • Translate team member needs into clear tasks and deliverables for contributors.
  • Work through dependencies, bottlenecks, and tradeoffs with ease.
  • Service-oriented mindset, curious, creative, and kind.
Perks:
  • Comprehensive benefits and perks that meet the needs of all of our employees.

Add these skills to join the top 1% applicants for this job

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As a Senior Analytics Engineer, you will be a critical partner to the Global GTM Strategy & Operations and Field teams, providing the data, insights, and infrastructure needed to drive efficiency and effectiveness across the organization. You will design, build, and maintain scalable data models, curated reporting tables, forecasts, and dashboards that support everyone from senior executives to individual contributors, empowering them to make informed decisions and spend more time driving customer outcomes.

Working closely with cross-functional stakeholders, including IT, Finance, Marketing, and other data teams, you will tackle complex data challenges, improve data accessibility, and deliver solutions that bring clarity and visibility to the business. You will also play a key role in advancing our newly created AI initiatives and semantic data curation efforts, helping to establish a strong foundation for advanced analytics, automation, and scalable business intelligence.

The impact you will have:

  • Build: You will develop analytic tools including dashboards, tables, analyses, and models that will be used by hundreds of employees in the field (technical and non-technical sales) as well as leaders across the globe
  • Project Manage: You will both manage the requirements gathering and lead execution of strategic analytic projects
  • Relationships: You will build and manage relationships with stakeholders across the company but primarily with the GTM strategy and operations team
  • Use Databricks: You will work everyday with a variety of data using Databricks’ Data Intelligence Platform

What we look for:

  • You have 3+ years of experience working as an Analyst / Data Engineer / Analytics Engineer with B2B sales, marketing, or finance data (GTM experience highly preferred).
  • You are technical and fluent in data. You have advanced knowledge (3+ years) of SQL and intermediate to advanced knowledge (2+ years) of Python. You also have experience with BI tools (e.g Databricks AI/BI, Streamlit). Github workflow experience and PySpark knowledge are a plus.
  • You are passionate about applying AI to transform GTM teams. You bring experience in delivering AI-driven solutions and have the ability to design innovative use cases as well as structure data models and tables that are optimized for AI readiness.
  • You thrive in partnership with the business. You understand how the business works and how your work impacts the wider GTM team. You seek to understand the “why” behind the requests that you receive and create innovative solutions for business problems. You have a proven track record of working cross-functionally and building strong partnerships with a wide range of stakeholders.
  • You excel in a collaborative environment. You translate team member needs into clear tasks and deliverables for contributors. You work through dependencies, bottlenecks, and tradeoffs with ease. You have a service-oriented mindset. You are curious, creative, and kind.

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