As a Data Analyst at Amazon in Kraków, you will play a pivotal role in turning raw data into actionable insights that drive strategic decisions across global business units. You will work with large datasets, advanced analytics tools, and cross-functional teams to optimize operations, marketing, and product performance.

Data Collection & Management

• Collect and consolidate data from multiple internal and external sources, including transactional databases, CRM systems, and third-party data providers.
• Ensure data accuracy, consistency, and completeness by performing rigorous data cleaning, validation, and preprocessing.
• Maintain data pipelines and ETL (Extract, Transform, Load) processes to automate data ingestion and updates.
• Work with structured and unstructured data to prepare datasets for analysis, reporting, and visualization.

Data Analysis & Visualization

• Analyze trends, patterns, and key performance indicators (KPIs) to identify insights that support business strategy.
• Use SQL, Python, or R to query, manipulate, and model data for in-depth analysis.
• Build interactive dashboards and visualizations using Power BI, Tableau, or similar BI tools to communicate findings effectively.
• Apply statistical techniques, predictive modeling, and correlation analysis to uncover hidden patterns and actionable insights.

Reporting & Insights

• Prepare automated reports and executive summaries that translate complex data into understandable business insights.
• Provide recommendations based on data trends, identifying opportunities for process improvement, cost reduction, and revenue growth.
• Assist business stakeholders in decision-making by delivering timely and accurate analytics reports.
• Collaborate with teams to define metrics, set goals, and monitor performance over time.

Collaboration

• Work closely with product managers, marketing teams, operations, and software engineers to align data insights with business goals.
• Participate in cross-functional projects to ensure data is leveraged effectively for strategic initiatives.
• Provide guidance on data-driven strategies and support the implementation of analytics recommendations.

Performance Monitoring

• Track and measure business performance metrics across multiple domains such as sales, customer behavior, and operational efficiency.
• Identify trends, anomalies, and performance gaps, and provide actionable solutions to improve efficiency.
• Develop monitoring dashboards for continuous tracking of KPIs and operational metrics.
• Collaborate with stakeholders to implement data-driven performance improvement initiatives.

Agile Environment

• Participate actively in Agile/Scrum processes, including sprint planning, stand-ups, retrospectives, and backlog refinement.
• Deliver analytics tasks in a timely and iterative manner, ensuring alignment with project milestones.
• Continuously improve analytics processes, dashboards, and data quality to increase efficiency.
• Document workflows, data models, and processes to maintain team knowledge and facilitate onboarding of new members.

Expectations & Outcomes

• Deliver high-quality, actionable insights that support decision-making across Amazon’s global teams.
• Maintain data pipelines and dashboards to ensure real-time reporting and accuracy.
• Provide clear and professional reports to senior management and stakeholders.
• Stay updated on data analytics best practices, BI tools, and emerging technologies to enhance team capabilities. 

To qualify for this role, candidates must meet the following professional, technical, and soft skill criteria:

1. Experience:
   • Minimum 2+ years of experience in data analytics, business intelligence (BI), or related fields.
   • Proven track record of analyzing large datasets, delivering actionable insights, and supporting decision-making for business operations.
   • Experience working on end-to-end analytics projects, including data collection, analysis, reporting, and stakeholder presentations.
2. Database & Query Skills:
   • Strong knowledge of SQL and relational databases (MySQL, PostgreSQL, or Oracle).
   • Ability to write complex queries, joins, and aggregations to extract meaningful insights from large datasets.
   • Understanding of data warehousing concepts and database optimization.
3. Programming & Analytics Tools:
   • Hands-on experience with Python or R for data cleaning, statistical analysis, and predictive modeling.
   • Ability to perform exploratory data analysis (EDA), correlation analysis, and trend forecasting.
   • Familiarity with scripting for automation of data pipelines and repetitive tasks.
4. Visualization & Reporting:
   • Proficiency in Power BI, Tableau, or similar BI visualization tools.
   • Ability to design interactive dashboards and automated reporting systems for stakeholders.
   • Translate complex data into visually compelling insights that are easily interpretable by non-technical teams.
5. Statistical Analysis & Predictive Modeling:
   • Experience in statistical methods, regression analysis, hypothesis testing, and predictive modeling.
   • Ability to generate actionable business recommendations from quantitative findings.
   • Understanding of A/B testing, trend analysis, and KPI evaluation.
6. Soft Skills:
   • Strong problem-solving abilities with high attention to detail.
   • Excellent English communication skills, both verbal and written, for international collaboration.
   • Ability to work independently as well as collaboratively in cross-functional, global teams.
7. Additional Skills (Optional but Preferred):
   • Familiarity with cloud analytics platforms, such as AWS Analytics, Google Cloud BigQuery, or Azure Synapse.
   • Knowledge of machine learning basics, scripting for automation, or advanced analytics workflows.
   • Experience in an Agile or Scrum development environment. 

1. Global Project Exposure:
   • Work on projects that impact Amazon operations worldwide, gaining exposure to international business processes.
   • Collaborate with teams across multiple countries, enhancing your cross-cultural communication and teamwork skills.
   • Contribute to high-profile initiatives with measurable business outcomes.
2. Career Growth Opportunities:
   • Clear path to Senior Data Analyst, Data Scientist, or Analytics Manager positions.
   • Access to internal training programs, mentorship, and sponsored certifications (Power BI, Tableau, Python, SQL, AWS/GCP).
   • Opportunities to lead analytics projects and participate in strategic decision-making processes.
3. Relocation & Visa Support:
   • Full assistance for international candidates, including:
     • Visa and work permit processing
     • Guidance for banking, registration, and local compliance in Kraków
     • Housing support or accommodation allowance
     • Travel and relocation support for you and your family (if applicable)
4. Additional Perks:
   • Flexible hybrid work model (partial remote working).
   • Comprehensive health insurance and wellness programs.
   • Performance-based bonuses and incentives.
   • Support for professional development, including workshops, seminars, and conference participation.
   • Inclusive and collaborative work environment fostering innovation and career advancement.