(Senior) Data Consultant

Warszawa - Poland

Monthly Salary: Not Disclosed

Posted on: 13 hours ago

Vacancies: 1 Vacancy

Job Summary

On a daily basis you will:

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.

Qualifications :

Which skills should you bring to the pitch:

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 simultenously.
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.

Additional Information :

Remote Work :

Yes

Employment Type :

Full-time

On a daily basis you will: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 area...

On a daily basis you will:

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.

Qualifications :

Which skills should you bring to the pitch:

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 simultenously.
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.

Additional Information :

Remote Work :

Yes

Employment Type :

Full-time

Key Skills

Databases
Data Analytics
Microsoft Access
SQL
Power BI
R
Tableau
Data Management
Data Mining
SAS
Data Analysis Skills
Analytics

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About Company

InPost

InPost S.A. a company listed on Euronext Amsterdam - is the leading out-of-home e-commerce enablement platform in Europe. InPost Group operates across key geographies: Poland, the UK, Italy and the Iberian Peninsula, as well as France and Benelux, through its subsidiary, Mondial Rel ... View more

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