Data Analytics Specialist

About The Role The Product Data Science team is G2's centralized analytics and data science function, embedded within the Product org to support Product Leadership and the teams building our buyer experience and reviews platform. In this role, you’ll partner closely with product stakeholders to develop data-driven strategies that improve the product and deliver measurable outcomes. You’ll also drive self‑service initiatives, giving end users direct access to insights through dashboards and MCP‑powered tooling. Day‑to‑day, you’ll work across a modern data stack including Looker, Snowflake, Amplitude, Python, and R, applying experimentation frameworks and data storytelling techniques to turn complex analysis into clear, actionable recommendations. In This Role, You Will Design and build data products that generate actionable insights for both internal stakeholders and external customers Develop and deploy AI agents and MCP‑powered tooling to enable self‑service access to data across the organization Own and contribute to key OKRs through data‑led initiatives, partnering closely with Product Leadership and cross‑functional teams Improve data quality, documentation, and governance practices to ensure the data layer is accurate, trusted, and AI‑ready Lead exploratory and ad‑hoc analyses for product and leadership partners, synthesizing complex data into clear, decision‑ready recommendations Build and maintain BI infrastructure in Looker and Amplitude, including dashboards, explores, and self‑service reporting layers Act as a data thought partner to product teams, proactively surfacing insights, flagging risks, and shaping strategy through a data lens Minimum Qualifications 3–5 years in product analytics, including direct experience defining and owning core product metrics end to end Strong proficiency in SQL Experience with at least one BI tool (Looker, Tableau, Power BI, Sigma, etc.) Experiences working with Python and/or R for analysis and automation in a production environment Familiarity with AI workflows, LLM tooling, or agentic data products Strong written and verbal communication skills, with the ability to translate complex analysis into clear recommendations for non‑technical stakeholders Self‑motivated and collaborative, with a track record of owning projects end‑to‑end What Can Help Your Application Stand Out Experience with A/B testing or experimentation frameworks preferred Experience contributing to data governance initiatives a plus Our Commitment to Inclusivity and Diversity At G2, we are committed to creating an inclusive and diverse environment where people of every background can thrive and feel welcome. We consider applicants without regard to race, color, creed, religion, national origin, genetic information, gender identity or expression, sexual orientation, pregnancy, age, or marital, veteran, or physical or mental disability status. Learn more about our commitments here. How We Use AI Technology In Our Hiring Process G2 incorporates AI‑powered technology to enhance our candidate evaluation process. These tools may assist with initial application screening, skills assessment analysis, and identifying candidates whose qualifications align with specific role requirements. While AI technology supports our recruitment workflow, all final hiring decisions remain under human oversight and judgment. Your Choice Matters If you would prefer that your application be reviewed without AI assistance, you can opt out by entering your email address in the email entry field at the bottom of the Automated Processing Legal Notice. Choosing to opt out will not disadvantage your application in any way—we will ensure your materials receive a thorough manual review by our hiring team. For Additional Details For additional details about how we handle your information throughout the application process, please review G2's Applicant Privacy Notice. Applicant Privacy Notice for Certain Jurisdictions For job applicants in California, the United Kingdom, and the European Union, please review this applicant privacy notice before applying to this job. #J-18808-Ljbffr