Data Analytics Consultant
InPost Group
full-time
Posted on:
Location Type: Remote
Location: Poland
Visit company websiteExplore more
About the role
- 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
Requirements
- Min 3 years of experience in an analytical role handling vast volumes of data (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 manage multiple tasks simultaneously
- Strong interpersonal skills with the ability to collaborate effectively with cross-functional teams
- Fluency in English: verbal and written
- It would be awesome if you have: 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.
Benefits
- Employees can work remotely
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data modelingPythonPySparkSQLBash scriptingETLELTdata analysisdata visualizationdata governance
Soft Skills
data-driven decision makingcommunicationcollaborationself-motivationtime managementinterpersonal skillsindependenceanalytical thinkingproblem solvingadaptability