Analytics Engineer, Smb

Details

About the Role

As an early member of our Data team within the Go-To-Market (GTM) organization, you will play a pivotal role in building a data-centric culture, enhancing decision-making processes, and driving strategic initiatives through analytics. This role involves a variety of projects aimed at developing canonical data sources and dashboards that enable the business to derive trustworthy, actionable insights. Most importantly, you should expect to be a core member of the GTM team, helping to bring our technology to a wide range of customers and supporting our self-serve and sales-led motions.

This role is based in either San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

Responsibilities

• Embed with the GTM team as a trusted partner, identifying high-impact analytics problems and pioneering data-driven solutions.
• Establish a data-driven culture by driving the definition, tracking, and operationalizing of metrics
• Manage cross-functional data projects about revenue, pricing, usage, and other topics core to the business.
• Create scalable pipelines for data collection, cleaning, and analysis from multiple sources, and manage the lifecycle of metrics and models from prototyping to production.
• Develop and refine tools such as dashboards and reports that empower the team to extract and analyze data independently.
• Conduct analyses to uncover insights and inform key decisions.
• Use presentations, memos, and tools to communicate complex data insights clearly and persuasively across the organization.

Requirements

• Over 10 years of experience in a relevant Data role within dynamic, outcome-driven organizations.
• Demonstrated ability to independently own ambiguous, high-impact business problems, from structuring the analytical approach to driving clear recommendations and execution.
• Highly autonomous and resourceful, with a track record of navigating data, stakeholder, and operational blockers.
• Highly skilled in SQL, with extensive experience extracting large datasets and designing ETL workflows.
• Proficient in quantitative programming languages, Python preferred.
• Experienced in using business intelligence tools, such as Tableau and Looker, to communicate insights and enable self-serve.
• Familiar with advanced custom visualizations, such as Streamlit and Plotly Dash.
• Adept at crafting clear data stories using decks, memos, and dashboards to drive decision-making at every level.
• Best-in-class attention to detail and unwavering commitment to accuracy.
• Proven track record of delivering significant business impact, preferably within Finance, Sales, Support, or other GTM domains.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.