Data Analyst
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Analyst (Manufacturing): Designing, delivering, and maintaining data pipelines and analytics solutions to support the division’s cloud and digital manufacturing strategy with an accent on PowerBI dashboarding, SQL/DAX optimization, and cloud platform integration. Focus on building scalable data models, ensuring data quality, and translating complex business requirements into technical deliverables within an AWS environment.
Location: Krakow, Poland (Onsite)
Company
is a leading provider of sustainable packaging solutions, paper products, and recycling services with a significant European footprint.
What you will do
- Develop and maintain PowerBI dashboards with a focus on dataset design and report performance.
- Write and optimize SQL queries and DAX expressions to support reporting requirements.
- Build and maintain data pipelines to ingest, transform, and deliver data from source to end users.
- Support the integration of analytics solutions within the AWS cloud platform.
- Maintain data quality, troubleshoot pipeline failures, and monitor system uptime.
- Collaborate with business stakeholders to translate data needs into technical deliverables.
Requirements
- Bachelor’s degree in a technology, analytical, or business-related field.
- 3+ years of experience in a data analyst, BI developer, or data engineer role.
- Working knowledge of SQL and Python for data extraction and transformation.
- Exposure to data pipeline tools and cloud platforms (AWS or Azure).
- Fluency in English is required.
- Ability to work effectively in cross-functional teams and communicate with non-technical stakeholders.
Nice to have
- Interest in manufacturing, supply chain, or industrial data.
- Exposure to agile delivery methods.
- Proficiency in Spanish, French, or German.
Culture & Benefits
- Opportunity to work in a large-scale, complex IT environment within a global division.
- Focus on professional development and best practices in data solutions.
- Collaborative environment working with data experts, engineers, and developers.
- Exposure to digital transformation projects in the manufacturing sector.
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