Senior Data Analytics Consultant

Role Overview

• 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 recommendations 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

Requirements

• Min 3 years of experience in an analytical role handling vast volumes of data in (preferably in domains such as Marketing, Logistics, Customer or Sales)
• 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: ability to request and handle data from both backend and frontend systems, including internal and external platforms
• Self-motivated and self-managing, with the ability to work independently and mange multiple tasks simultaneously
• Strong interpersonal skills with the ability to collaborate effectively with cross-functional teams
• Fluency in English : verbal and written
• Ability to read or communicate in French (if you have it)
• Experience in working with Apache Spark in Databricks (if you have it)
• 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

Tech Stack

• Airflow
• Apache
• AWS
• Azure
• Cloud
• ETL
• Google Cloud Platform
• PySpark
• Python
• Spark
• SQL
• Tableau

Benefits

• Employees can work remotely