Vizcom is seeking a Product Operations Data Analyst to analyze user-support data, identify trends and friction points, and provide actionable insights to improve the user experience and product development.
Requirements
- Expert‑level SQL skills and proficiency in Python or R for advanced analysis and automation
- Hands‑on experience designing and maintaining BI dashboards (e.g. Looker, Mode, Tableau, Sundial) with a focus on clarity and self-serve usability.
- Familiarity with support metrics (SLAs, FCR, deflection) and ability to define service health KPIs.
- Prototype quickly leveraging ChatGPT, Jupyter notebooks, Retool, and other tools to prove value before hardening with Engineering.
- Collaborate with Engineering on predictive models and experimentation, translating results into operational recommendations.
Responsibilities
- Build, enhance, and maintain self‑serve dashboards and reporting tools, enabling non‑technical teams to answer their own data questions.
- Establish a unified metrics taxonomy for service‑health and performance and build automated data‑sharing pipelines and scorecards to ensure everyone operates from the same real‑time view of success
- Instrument and analyze model usage across Vizcom, surfacing adoption trends, feature-level engagement, and downstream product insights that inform roadmap decisions and guide continuous improvement.
- Jump into high‑priority special projects to conduct bespoke deep‑dive analyses and deliver clear, strategic recommendations to leadership.
- Prototype quickly leveraging ChatGPT, Jupyter notebooks, Retool, and other tools to prove value before hardening with Engineering.
- Collaborate with Engineering on predictive models and experimentation, translating results into operational recommendations.
Other
- 5 + years in analytics, business intelligence, or data science, ideally supporting customer support or operations teams.
- Demonstrated ability to translate complex datasets into clear business stories and recommendations for both technical and non‑technical audiences.
- Strong cross‑functional communication skills comfortable collaborating daily with engineers, data scientists, and operations leaders.
- An eye for detail, a zero‑defect mindset, and a bias toward action over theoretical perfection
- Possess a strong bias for automation and can defend governance decisions that keep data and processes healthy as they grow.
- Handles priorities shifting quickly well.
