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Data Analyst / Analytics Engineer

Role overview

Qualifications

  • Minimum 4 years of professional experience in data analytics
  • Strong SQL skills
  • Practical experience with Python and/or PySpark
  • Experience with data processing / workflow tools such as Airflow

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

Key facts

Hard skills

Other skills

  • Consulting
  • Communication
  • Problem Solving

About the company

Madiff logo

Madiff

Artificial Intelligence & Machine Learning Services

We are an international Innovation, IT and high-tech engineering consulting company that delivers unique value in a wide variety of industries. Our mission is to add value to our customers businesses by providing digital and technological innovation services, delivering disruptive results and making our clients stand out in their market. We are driven by a creative and innovative consulting approach strongly oriented to getting results. We MAKE THE DIFFERENCE. Poland | UK | Switzerland | USA | Norway | Portugal | Spain | France | Singapore Warsaw Prosta 20 Wrocław Rybacka 7 Lublin Grottgera 2

Company details

IndustryArtificial Intelligence & Machine Learning Services
Company size51 - 200

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Job description

This is a remote position.

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 
  • Strong SQL skills 
  • 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 
  • Advertising / AdTech experience 
  • Banking experience 
  • Consulting background 


Benefits

• Solid, competitive salary
• Work in a multinational environment on international projects
• Comprehensive healthcare
• Long-term B2B contract with a stable project pipeline

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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