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Data Analysis

Within the Job Family Data Analysis, you collect, analyse and interpret data, formulate relevant insights, present and visualise findings or facilitate (part of) this process. Spread the data driven way of working within the team and bol. The findings are used in daily operations and/or in the development of product strategies and tactics and in the subsequent assessment of results.

What you'll do

Key Accountabilities within Data Analysis

    • Data Exploration

      Research and/or determine with which (new) data points contribute to the goal of the product (area) or domain and unlock the right data to ensure everyone can perform their own analyses (e.g. to measure results and progress).

    • Data Transformation

      Converting, cleaning, modifying and structuring data into a usable format (or enabling this) that can be used for analysis and decision making.

    • Experimenting

      Driving continuous improvement and growth by leveraging statistical analysis and data-driven experimentation and innovative approaches to inform decision-making and achieve measurable outcomes.

    • Data Quality

      Improve data quality throughout the product (area) or domain to enable harness of the data and work in an informed manner and to spot innovation opportunities.

    • Cross Collaboration

      Fostering effective communication and cooperation across diverse teams and departments to achieve shared goals and enhance organisational synergy.

    • Data Communication

      Translating complex data into accessible and visually compelling insights, using pre-set tools, methods(e.g., algorithms, predictive models, dashboarding) and formats, providing guidance and recommendations based on data analysis to stimulate data-driven decision making.

    • Competencies

    • Product

      In product werken we precies op het snijvlak van technologie, business en klanten. Het draait om tech verbeteren, goede producten bouwen en innovatieve oplossingen bedenken. Onze product teams optimaliseren processen en werken aan de ervaringen op het platform – van begin tot eind.

    • Optimizing payment processes together

      Behind the screens met Arnold

      • Behind the Screens
    • Building skills, confidence ánd a career

      Behind the Screens with Kyle and the Tech Young Professionals Programme

      • Young Professional
    • Taking the learning out of the classroom

      Behind the screens with Carlota and the Tech Young Professional Programme

      • Young Professional
    • Data Management Specialist

    • Marketing Data Analyst

    • Product Analyst - General Pipeline

What you'll do

Key Accountabilities within Data Analysis

  • Data Exploration

    Research and/or determine with which (new) data points contribute to the goal of the product (area) or domain and unlock the right data to ensure everyone can perform their own analyses (e.g. to measure results and progress).

  • Data Transformation

    Converting, cleaning, modifying and structuring data into a usable format (or enabling this) that can be used for analysis and decision making.

  • Experimenting

    Driving continuous improvement and growth by leveraging statistical analysis and data-driven experimentation and innovative approaches to inform decision-making and achieve measurable outcomes.

  • Data Quality

    Improve data quality throughout the product (area) or domain to enable harness of the data and work in an informed manner and to spot innovation opportunities.

  • Cross Collaboration

    Fostering effective communication and cooperation across diverse teams and departments to achieve shared goals and enhance organisational synergy.

  • Data Communication

    Translating complex data into accessible and visually compelling insights, using pre-set tools, methods(e.g., algorithms, predictive models, dashboarding) and formats, providing guidance and recommendations based on data analysis to stimulate data-driven decision making.

  • Competencies

Where you can make an impact

Data Analysis allows you to create impact in these areas

Product

In product werken we precies op het snijvlak van technologie, business en klanten. Het draait om tech verbeteren, goede producten bouwen en innovatieve oplossingen bedenken. Onze product teams optimaliseren processen en werken aan de ervaringen op het platform – van begin tot eind.

How we bring Data Analysis to life at bol

  • Optimizing payment processes together

    Behind the screens met Arnold

    • Behind the Screens
  • Building skills, confidence ánd a career

    Behind the Screens with Kyle and the Tech Young Professionals Programme

    • Young Professional
  • Taking the learning out of the classroom

    Behind the screens with Carlota and the Tech Young Professional Programme

    • Young Professional

Discover our Data Analysis opportunities

  • Data Management Specialist

  • Marketing Data Analyst

  • Product Analyst - General Pipeline

At bol leadership

starts from within

These leadership behaviours are part of everyone's role alongside job-specific expectations, forming the foundation of our high-performing organisation.

Growing our people

High standards and mutual accountability drive our culture, where diverse perspectives are valued and feedback fuels continuous growth.

Cheers

Obsessing over customers

Starting with customer data, we experiment and learn relentlessly to create experiences worth persisting for.

Lego on blue background

Winning together

Delivering on priorities means optimizing for bol's value over perfection, making fast decisions and executing without hesitation.

Cheers
Explore related job families at bol

We selected a few other job families at bol beyond Data Analysis that might offer you the career you are looking for.