Growth Analytics & Operations Lead

Job description

## **About Haystack News** Haystack News is a fast-growing, mission-driven startup working to **empower independent thinkers with the news they care about**. Millions of users rely on Haystack to live more informed lives through personalized, on-demand access to trusted local and national news. We’re the leading free news streaming platform, connecting over 40 million viewers to 400+ publishers across mobile, web, and connected TVs. If you’re excited by data, storytelling, and building systems that scale, this is a **high-impact opportunity** to shape the future of how millions of people consume news. ## **The Role** We’re looking for a **Growth Operations & Analytics Lead** to partner closely with our **BD and Marketing leaders**. These are people who excel at building relationships, storytelling, and executing deals—and you’ll be their operational and analytical counterpart, ensuring decisions and performance are backed by data, systems, and insights. This is not a back-office reporting role. You’ll build the muscle that lets our business teams see around corners—owning the data, the processes, and the experiments that keep the business performing. You’ll connect metrics to action: where we grow, how we acquire users, how our partnerships perform, and how we optimize ROI across campaigns and deals. ## **What You’ll Do** - Act as the **data and operations lead** for BD and Marketing—owning insights, automation, and performance visibility. - Design and automate **reporting systems and dashboards** for revenue, partnerships, and marketing campaigns across Snowflake and third-party tools (Google Ads, Meta, etc.). - Build and monitor **A/B tests and experimentation frameworks** with Product and Data teams, applying statistical rigor to separate causation from correlation. - Identify and communicate actionable insights that drive user growth, partner success, and marketing ROI. - Streamline BD and Marketing workflows through process automation and tool integration. - Financial modeling and potential deal analysis predicting efficacy and ROI based on inputs and historical performance. Make informed recommendations and predictions on CPI and CAC for new opportunities - Partner with cross-functional leaders to ensure tracking integrity, forecast accuracy, and visibility into key growth levers. - Foster a culture of **clarity, experimentation, and accountability**—helping teams move fast and learn fast. ## **Who You Are** - Bachelor’s degree in a quantitative or analytical field required (e.g. Economics, Statistics, Engineering); advanced degree is a plus (MBA or M.S.). - 5+ years of professional experience in analytics, biz ops, growth ops, or similar roles at a high-growth tech or media company. - **Data native**—fluent in SQL, comfortable in Snowflake (or similar), and experienced in building analytics from 0→1, including automated dashboards (Looker, Mode, Tableau, or equivalent). - **Experimentation-minded**—you design and interpret controlled tests, know how to evaluate statistical significance, and connect results to actionable outcomes. - **Business fluent**—you think in terms of unit economics, growth levers, and ROI, not just metrics. - Experience with marketing and revenue data (campaigns, attribution, CAC/LTV, partnerships). - Proactive and hands-on—you like to implement, not just analyze. - Bonus: experience in streaming, media, or ad-supported business models. ## **Why Haystack** - Join a **mission-driven team** empowering independent thinkers with access to quality news. - Be part of the **#1 news streaming app on connected TVs**, with 1+ billion minutes streamed every month. - Operate in a high-ownership, **low-ego, no-politics environment** where results matter more than hierarchy. - Collaborate directly with founders and senior leaders—no bureaucracy, just impact. - Work on challenges that combine **media, technology, and public trust**—what you do genuinely matters. - Grow as part of a team that values initiative and invests in developing future leaders. - Competitive compensation and benefits.