Product Analytics
Dataiku provides an enterprise AI platform for building, deploying, orchestrating, and governing analytics, machine learning, generative AI, and AI agents. Its customers include large organizations across financial services, life sciences, manufacturing, retail, energy, logistics, technology, and the public sector.
About Dataiku
Dataiku develops a unified enterprise AI platform that connects people, data, analytics, machine-learning models, large language models, and AI agents in a governed environment. Its offerings include AI-agent development and orchestration, centralized LLM management, AI governance, trusted analytics, machine-learning development and deployment, collaboration, monitoring, lineage, and risk controls. Dataiku serves enterprise business and technical teams, including organizations operating in complex and highly regulated industries.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You analyze product data to identify trends and opportunities, build and maintain KPI reports and dashboards, generate insights and recommendations, translate business needs into analytical requirements, check data accuracy and integrity, use tools such as Mixpanel and Dataiku, and communicate findings to technical and non-technical stakeholders.
Requirements
- Some experience in product analysis or a related area, including internships or academic projects
- Basic proficiency in SQL and Excel
- Familiarity with Mixpanel or Dataiku is a plus
- Exposure to Python is a plus
- Basic knowledge of statistical analysis concepts
- Ability to translate data into actionable insights
- Written and verbal communication skills
Responsibilities
- Analyze product data to identify trends, patterns, and opportunities
- Build and maintain reports and dashboards
- Track KPIs and product metrics
- Produce insights and recommendations for stakeholders
- Work with product managers, engineers, the central analytics team, and other stakeholders
- Translate business needs into analytical requirements
- Ensure the accuracy and integrity of data
- Use Mixpanel and Dataiku to support data-driven decision-making
- Communicate data findings to technical and non-technical stakeholders
