Full-Time Senior Big Data Analyst

• Closely support stakeholders in making data-driven decisions.
• Work with different InPost departments and business lines.
• Gather requirements, harness large-scale, real-time data from various sources, analyze it and, prepare insights and recommendation about business critical areas and processes.
• Design, develop, and extend our data model layers that support optimized and scalable calculations and visualizations of successful analytics outcomes.
• Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale data environment. Maintain and advocate for these standards through code reviews.
• Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Business Analysts to deliver integrated data solutions.
• Prototype and coordinate data visualizations.

• Min 3 years of experience in an analytical role handling vast volumes of data.
• Experience in data modeling and implementing complex data-driven solutions is a strong plus.
• Strong proficiency in Python/PySpark for data analysis, SQL for data processing, Bash scripting to manage Git repositories.
• Proven ability to pull insightful and actionable conclusions from complex data and communicate recommendations to business stakeholders clearly and concisely.
• Comprehensive understanding of the technical aspects of data warehousing, including dimensional data modeling and ETL/ELT processes.
• Ability to translate business needs into data models.
• Strong understanding of real-time data.
• Self-motivated and self-managing.
• Strong interpersonal skills.
• Fluency in English: verbal and written.

• Experience in working with Apache Spark in Databricks.
• Familiarity with cloud-based data platforms (e.g. GCP, Azure, AWS).
• Familiarity with modern data building tools like Apache Airflow, DBT.
• Familiarity with data visualization tools such as PowerBI/Tableau/Looker.
• Knowledge of data governance principles and practices.
• Ability to thrive in a highly agile, intensely iterative environment.

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