9 дней назад
Senior AI Solutions Analyst (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Solutions Analyst (AI): Developing and maintaining the AI layer for business analytics, including Talk2Data, agent-ready data, and AI response evaluation frameworks with an accent on analytical specifications, data quality, and stakeholder alignment. Focus on defining quality metrics, validating AI-generated outputs, designing dimensional data models, and driving adoption of AI-assisted analytics solutions.
Location: Poland; work from the European Union region and a work permit are required.
Company
Global AI-first digital transformation and engineering partner with over 25 years of experience and 5,000 professionals across 16 countries.
What you will do
- Own the development and maintenance of the AI layer supporting business analytics, including Talk2Data and agent-ready data.
- Define, implement, test, and release analytical components, translating business needs into requirements, acceptance criteria, and specifications.
- Build and improve AI response quality evaluation frameworks with metrics, representative Q&A datasets, ground truth, and ongoing monitoring.
- Collaborate with Data Engineers on star-schema dimensional models, data quality checks, code reviews, and deployments.
- Validate large datasets and cloud data platforms, ensuring data ownership and alignment with data governance standards.
- Lead proofs of concept, evaluate AI tools and approaches, support enablement sessions, and diagnose issues involving Claude, Power BI MCP, and connectors.
Requirements
- At least 5 years of experience in an analytical role.
- Strong background in business analytics, data engineering, or a related discipline.
- Advanced SQL skills and experience with large datasets in cloud data platforms.
- Knowledge of data warehousing, dimensional data modeling, and ETL/ELT processes.
- Hands-on experience with LLM-based AI tools and understanding of how AI assistants are built and evaluated.
- Experience with requirements analysis, stakeholder collaboration, data governance, Git, code review, and version control.
Nice to have
- Experience with Databricks.
- Knowledge of Atlan or similar data cataloguing platforms.
Culture & Benefits
- Work with AI, data, cloud, intelligent automation, and digital product technologies.
- Collaborate with Data Engineers, Product Leads, Business Owners, and other cross-functional stakeholders.
- Prepare presentations, guidelines, and enablement sessions for technical and non-technical audiences.
- Participate in a strong engineering and knowledge-sharing culture.
Hiring process
- CV review.
- HR call, interview, and client interview.
- Final decision.
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