Analytics Engineer embedded with the GTM team to build data pipelines, develop dashboards, and drive data-driven decision making across revenue, pricing, and usage metrics. Requires 10+ years of experience, strong SQL/Python skills, and BI tools expertise.
220k – 335k/yr
Hybrid10+ YOEData Analytics
About the role
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
Nice-to-Haves
Experience with advanced custom visualizations (Streamlit, Plotly Dash)
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