Data Analyst / Analytics Engineer

Madiff

Polska

On-site

PLN 120,000 - 180,000

Full time

2 days ago
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Benefits offered by this job

Comprehensive healthcare
Long-term B2B contract

Job summary

Madiff is seeking a Senior Data Analyst / Analytics Engineer to work with large-scale datasets and deliver data-driven solutions that support business decision-making. You will hands-on with SQL, Python/PySpark, Airflow, and BI tools to derive insights and build dashboards.

You will independently lead analytical projects, collaborating with business and technology stakeholders from defining analytical questions through data processing, insight generation, and final delivery.

Qualifications

  • 4+ years of professional data analytics experience.
  • Experience with large datasets.
  • Hands-on Python and/or PySpark.
  • Experience with data processing/workflow tools such as Airflow.
  • Experience with Tableau, Looker Studio and/or Power BI.
  • Strong analytical skills and ability to translate insights into business recommendations.
  • Ability to independently plan and deliver analytical projects.
  • Fluent English communication.
  • Ability to work with multiple stakeholders.

Responsibilities

  • Analyse and process large datasets.
  • Extract meaningful insights from data and translate them into concrete business recommendations.
  • Build and develop analytical solutions supporting business decision-making.
  • Create clear data visualisations and dashboards.
  • Independently manage analytical projects from planning through delivery.
  • Work with multiple stakeholders across business and technology teams.
  • Translate business needs into analytical questions and data-driven solutions.
  • Communicate findings and recommendations clearly to non-technical stakeholders.

Skills

SQL
Python
PySpark
Airflow
BI tools
Tableau
Looker Studio
Power BI
English

Tools

Airflow
Tableau

Job description

We are looking for a Senior Data Analyst / Analytics Engineer to work with large-scale datasets and deliver data-driven solutions supporting business decision-making. The role combines hands-on SQL, Python/PySpark, Airflow, and BI tools with advanced data analysis, dashboard development, and translating complex findings into clear business recommendations. The consultant will independently lead analytical projects, working closely with business and technology stakeholders from defining analytical questions through data processing, insight generation, and final delivery.

Responsibilities

  • Analyse and process large datasets
  • Extract meaningful insights from data and translate them into concrete business recommendations
  • Build and develop analytical solutions supporting business decision-making
  • Create clear data visualisations and dashboards
  • Independently manage analytical projects from planning through delivery
  • Work with multiple stakeholders across business and technology teams
  • Translate business needs into analytical questions and data-driven solutions
  • Communicate findings and recommendations clearly to non-technical stakeholders
Requirements
  • Minimum 4 years of professional experience in data analytics
  • Hands-on experience working with large datasets
  • Practical experience with Python and/or PySpark
  • Experience with data processing / workflow tools such as Airflow
  • Experience with Tableau, Looker Studio and/or Power BI
  • Strong analytical skills and ability to draw relevant conclusions from complex datasets
  • Ability to translate analysis into specific business recommendations
  • Ability to independently plan and deliver analytical projects
  • Proactive approach and strong ownership
  • Experience working with multiple stakeholders
  • Ability to connect technical/data topics with business requirements
  • Good spoken and written English

Nice to have

  • Previous experience in e-commerce
  • Banking experience
  • Consulting background
  • Work in a multinational environment on international projects
  • Comprehensive healthcare
  • Long-term B2B contract with a stable project pipeline
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