Design data architectures for TROCCO and COMETA, translating customer needs into technical solutions. Lead discovery, PoC validation, troubleshooting, and DWH/BI recommendations.
About this role
PrimeNumber, a data technology company whose cloud ETL TROCCO is used by more than 2,500 organizations, is hiring a Data Analyst who wants to become the new kind of analyst needed in the age of AI agents. As aggregation and visualization are automated, customers increasingly want analysis organized into issues and decision criteria they can act on, and the analyst gradually takes part in designing that decision process.
Core work is analysis practice: understanding business KPIs such as LTV, utilization and acquisition rates and organizing issues; analyzing data with SQL and BI tools, testing hypotheses and writing implications; defining requirements and visualization design for dashboards and reports; working with project managers and senior analysts to improve decision processes; and assisting workshops that build a data-use culture. Lessons from projects feed back into TROCCO and COMETA. Tools include BigQuery, Snowflake, Databricks and Redshift; Tableau, QuickSight, Looker Studio and Power BI; and AI services such as Dify, OpenAI, Gemini and Claude.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Design and implement data infrastructure to support AI utilization, collaborating with senior engineers and consultants.
Lead architecture, technical renewal, and core development for TROCCO and COMETA, using Ruby, Java, TypeScript, and AWS to support large-scale data processing and delivery quality.
Develop and operate client programs for smartphone, console, and PC games. Build gameplay and user-facing systems, animation, graphics, and networking features, plus Unity tools.
Design and implement scalable data pipelines using Databricks Lakehouse Platform, collaborating with engineers and data scientists.
Build web and mobile apps, backend systems, and AI agents in an in-house team. After three months of training, work across planning, development, and operational improvement.