Data Analyst (AI-Powered)
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AI-Driven Data Analyst (BI & ETL)
Rate: 180 - 190 PLN/h net (B2B)
Work Model: 100% Remote
Project Length: ASAP until October 19, 2026
Language Requirement: English (B2/C1) for daily professional communication
About the Project
We are looking for a proactive Data Analyst for our client, a cloud-based platform provider that digitizes end-to-end workforce management for intensive industries (such as staffing, security, and facility services).
The goal of this project is to build a modern, next-generation Analytics and Business Intelligence solution that integrates operational data from multiple multi-country ERP systems into reliable, customer-facing insights and data products. This is an AI-native role, meaning you will not be doing traditional, repetitive data engineering. Instead, you will leverage advanced AI and LLM tooling (like MCP, Cursor, and Claude code) to explore, validate, and ship high-quality solutions up to 10x faster than a traditional engineer.
Key Responsibilities
End-to-End ETL & BI Development: Lead the development of scalable ETL pipelines and customer-facing analytics for multi-tenant setups—from requirements to published datasets and dashboards.
Data Needs & KPIs: Partner with stakeholders to define key metrics, map them to available ERP/operational data, and prioritize feasible, testable, and maintainable KPIs.
Pipeline Engineering: Build reliable pipelines that ingest, validate, transform, and document data into curated, analysis-ready datasets (e.g., columnar/Parquet outputs).
BI Implementation: Design and implement interactive, intuitive dashboards enabling customers to easily filter, analyze, and interpret data.
Scalability & Optimization: Ensure all solutions scale seamlessly across multiple customers with minimal manual effort.
Technical Requirements (Must Have)
General & AI Skillset:
Fluency in English (B2/C1) for seamless daily communication.
Strong ability to work independently and proactively in a fast-paced environment.
Deep knowledge of advanced AI productivity tools (including MCP, agent skills, harness engineering w/ Claude code, Cursor, Codex, and Worktrees) to significantly accelerate delivery speed.
ETL & Data Engineering:
Proven experience developing data pipelines using Python and Jupyter Notebooks.
Hands-on use of Pandas, NumPy, and DuckDB (or equivalent analytical SQL engines) for transformations, validation, and performance-conscious processing.
Familiarity with cloud environments (AWS/Azure) and utilizing SDKs to extract data from various sources (APIs, SQL databases).
Expertise in SQL for complex data manipulation and creating normalized datasets.
Business Intelligence:
Solid experience using BI tools to manage datasets and generate high-quality dashboards.
Expertise in dashboard design, including interactive elements and deep-dive filters.
Experience with Apache Superset is a strong plus.
Nice to Have
Hands-on experience with cloud environments and containerization (Docker, Kubernetes).
Knowledge of rights management, data security, and access control within BI tools.
Familiarity with parallelizing ETL processes and workflow orchestration to improve efficiency.
What We Offer
Cutting-Edge Ecosystem: A work environment where AI tools are a core part of the workflow, not just an afterthought.
Ownership: High autonomy and a direct impact on building a modern, multi-tenant analytics product from the ground up.
Flexibility: 100% remote cooperation on a stable B2B contract.