Mid Business Intelligence Analyst @ Amway

1 week ago

Kraków, Czech Republic Amway Full time
  • Proficient in data integration, ETL processes, and data pipeline development.
  • Strong knowledge of SQL, relational databases (e.g., Microsoft, Oracle), and cloud data platforms (e.g., Google Cloud, BigQuery).
  • Experience with data processing frameworks (e.g., Hadoop, Spark) and stream processing systems (e.g., Kafka).
  • Demonstrated ability to analyze complex datasets and generate actionable insights.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and building executive dashboards.
  • Strong programming skills in languages such as Python, R, or Scala.
  • Excellent communication skills, with the ability to translate technical data into business insights for diverse audiences.
  • Proven ability to collaborate cross-functionally and lead projects from concept to completion.
  • Familiarity with data security, governance, and compliance best practices.

Nice to have:

  • Experience with machine learning, AI, and big data techniques.
  • Knowledge of hybrid cloud environments and distributed systems.
  • Familiarity with BI tools and data warehousing solutions.
  • Operational experience in business analytics and data-driven decision-making.
  • Experience with agile methodologies and user-centered design processes.
  • Understanding of enterprise data governance and security frameworks.

What you’ll do:

Data Integration & Management

  • Design, build, and manage data pipelines that gather and store data from multiple sources (cloud, on-premises databases, etc.).
  • Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and load data into data warehouses or other storage systems.
  • Ensure the reliability, availability, and scalability of data systems, including data quality, validation, and governance.
  • Implement data security and privacy standards across all data platforms.

Data Analysis & Reporting

  • Analyze complex datasets to identify trends, patterns, and insights that drive actionable business outcomes.
  • Develop and maintain dashboards, reports, and data visualizations to communicate insights to stakeholders across the organization.
  • Collaborate with business units to define key metrics and build models that predict future trends and outcomes.

Solution Development & Deployment

  • Design and develop data solutions, including databases, data lakes, and data warehouses, that support business analytics and reporting needs.
  • Establish and enforce data architecture and design standards for software, systems, and applications to ensure data consistency and quality.
  • Collaborate with software engineers and other IT professionals to integrate data solutions into enterprise applications.

Technical Tooling & Automation

  • Leverage AI, machine learning, and big data techniques to automate data collection, cleansing, transformation, and storage processes.
  • Develop and implement automated processes for data validation, monitoring, and maintenance.
  • Use programming languages (e.g., Python, SQL) and data processing frameworks (e.g., Hadoop, Spark) to build custom data solutions.

Cross-Functional Collaboration & Leadership

  • Lead cross-functional teams to define and prioritize data needs, ensuring alignment with business goals and objectives.
  • Educate and guide stakeholders on the use of data analytics tools, best practices, and emerging technologies.
  • Collaborate with business and IT teams to ensure data solutions meet both technical and business requirements.

Continuous Improvement & Innovation

  • Conduct root cause analysis on data and processes to identify areas for improvement and recommend solutions.
  • Stay updated on the latest trends in data engineering, analytics, and data science to continually enhance data capabilities.
  • Proactively identify opportunities to leverage new technologies to solve business problems and improve data operations.

Documentation & Support

  • Document all data processes, architectures, and solutions to ensure transparency and facilitate knowledge transfer.
  • Provide ongoing support for data systems, addressing any issues that arise and ensuring continuous operation.
  • Create and maintain comprehensive documentation on business processes, data flows, and data models.

What can you expect from us?

  • Hybrid Work model (3 days from office and 2 days from home)
  • Flexible Working Hours
  • Private medical care in LuxMed Group
  • MyBenefit Cafeteria Platform (with Multisport card available)
  • Group Life Insurance
  • Additional day off for your Birthday
  • Additional two days off per year for voluntary activities of your choice
  • Employee discount for high-quality Amway products
  • Annual Bonus depending on the yearly company and individual performance
  • Various portfolios of internal & external training: professional certifications, access to the e-learning platform
  • Possibility of growth inside of organization
  • International team environment
  • Relocation package for candidates outside Poland
  • Numerous company events and office initiatives
  • No formal dress code
  • Attractive office location in the heart of Krakow (High 5ive, Pawia Street)
,[] Requirements: data integration, ETL process, Data pipeline development, SQL, Oracle, Google Cloud, BigQuery, Hadoop, Spark, Kafka, Tableau, Power BI, insights, Python, R, Scala, AI, machine learning, Agile Additionally: Sport Subscription, Private healthcare, Company Events, Annual bonus, Flexible working hours, MyBenefit, Life insurance, Discounts, International projects, Free coffee, Playroom, Shower, Bike parking, Free parking, Modern office, No dress code.

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