Huntress is looking for a Staff Data Analyst to translate complex data into actionable insights that will directly influence sales strategy, Go-to-Market (GTM) execution, and business growth by owning the analytical framework for customer acquisition, growth, and retention.
Requirements
- Advanced proficiency in SQL for data querying and manipulation.
- Proven experience with BI tools such as Sigma, Tableau, Looker, Power BI, or similar platforms.
- Conduct complex data analysis using SQL to extract, manipulate, and analyze data from various sources (e.g., Salesforce, marketing automation platforms, financial systems).
- Design, build, and maintain a suite of scalable dashboards and reports using business intelligence tools (e.g., Sigma, Tableau, Power BI, Looker) that provide visibility into performance.
- Collaborate with analytics engineers to build and maintain the data pipelines that ensure growth metrics are evolving in alignment with the company's strategy.
- 5+ years of experience in data analytics, business intelligence, or a similar role, with a strong focus on Sales, GTM, or Marketing analytics, preferably within a B2B SaaS environment.
Responsibilities
- Unlock value in our sales motions by leaning in with curiosity to investigate sales trends, conversion rates, levers, by channels, segments, partners, geos, customer size, etc.
- Offer insights into key performance indicators (KPIs) and provide timely alerts on significant changes, anomalies, or performance gaps.
- Develop and present compelling, data-driven narratives to support strategic planning, investment decisions, and business reviews (e.g., QBRs, board meetings).
- Proactively lead deep-dive analyses on critical business questions, such as sales motion effectiveness, market segmentation, and pricing strategy.
- Actively support the sales team in better understanding their go-to-market motion results, staffing capacity planning, product requirements, and improving sales efficiency.
- Own the end-to-end reporting process for all key GTM metrics, including net new ARR (annual recurring revenue), pipeline generation, conversion rates, and the expand and cross-sell funnel.
- Design, build, and maintain a suite of scalable dashboards and reports using business intelligence tools (e.g., Sigma, Tableau, Power BI, Looker) that provide visibility into performance.
Other
- Serve as a trusted advisor by proactively identifying trends, opportunities, and risks within our GTM data products.
- Translate complex data concepts into clear, concise, and simple terms for non-technical audiences.
- Have regular meetings with key stakeholders that define what data product readiness looks like in the now, next, and future timelines.
- Influence key prioritization and resource allocation decisions by providing a clear, data-backed point of view that makes data products future-ready.
- Excellent communication, presentation, and storytelling skills, with the ability to translate complex data into clear, actionable insights for an executive audience.