• Senior Analytics Engineer

    Job ID
    25850
    Location
    ES-Barcelona
    Category
    Software Development
  • Job Board Posting

    Welcome to Cimpress, the world leader in mass customization. We are audacious, innovative and growing.

     

    Cimpress is a company on a bold journey to build a platform connecting people, companies and products around the world, making it possible for small businesses and consumers everywhere to express themselves and promote their initiatives. You will be in the early stages of defining and bringing to life the very nerve center of this network, building a platform for insight enablement.

     

    The Cimba (Cimpress Business Analytics) team is passionate about data. We are responsible for full data processing flows, from ingestion of raw data streaming in live from microservices around the world, applying analytic techniques and other classification methodologies, preparing it for ad hoc and visual rendering technologies, making our rich data sets available to drive and enable decision making worldwide.

     

    We are looking for a highly motivated Analytics Engineer who thinks outside the box, and who is a bit outside the box. The ideal candidate has it all: software engineering skills, a broad familiarity with analytic methods and tools, experience with big data challenges. You will be a member of a team supporting a range of large-scale data mining and analysis projects, being the bridge between business users and our platform development engineers. The candidate will design and implement cutting edge self-service data exploration tools. S/he should be able to leverage open source machine learning and statistics libraries in order to solve complex business problems with the required rigor. Also, surrogate or foreign keys should not be foreign words to the candidate.

     

    Your role will involve…

     

    • Working directly with business stakeholders to understand their requirements and enable them to derive insights from available data sources
    • Implementing and maintaining a set of mission critical KPI’s for the business
    • Designing, implementing and supporting a self-service data exploration platform.
    • Being an internal analytics consultant / evangelist
    • Developing and promoting advance analytics models in order to tackle business problems across the organization
    • Building visualisations on internal and external data sets to help our users understand the data

    Qualifications

    • Bachelor’s degree in computer science, information systems or related technical field, a Master’s degree is a plus
    • 3+ years of professional work experience in an analytics-focused role
    • Ability to thrive in a fast-paced environment while having a well-organized working method
    • A professional attitude with strong interpersonal and communication skills at different levels
    • Significant past experience with SQL, dimensional data modeling, relational and columnar databases
    • Basic understanding of statistics, probability and machine learning algorithms
    • Fluency in English written and spoken

    Ideal candidate would have

    • Programming and/or scripting experience in Python, Spark
    • Familiarity with machine learning libraries such as scikit-learn, SparkML
    • Working knowledge of databases like Redshift, Snowflake, Postgres
    • Experience with AWS technologies
    • Experience in creating web-based data visualizations

     

    English External Posting

    Welcome to Cimpress, the world leader in mass customization. We are audacious, innovative and growing.

     

    Cimpress is a company on a bold journey to build a platform connecting people, companies and products around the world, making it possible for small businesses and consumers everywhere to express themselves and promote their initiatives. You will be in the early stages of defining and bringing to life the very nerve center of this network, building a platform for insight enablement.

     

    The Cimba (Cimpress Business Analytics) team is passionate about data. We are responsible for full data processing flows, from ingestion of raw data streaming in live from microservices around the world, applying analytic techniques and other classification methodologies, preparing it for ad hoc and visual rendering technologies, making our rich data sets available to drive and enable decision making worldwide.

     

    We are looking for a highly motivated Analytics Engineer who thinks outside the box, and who is a bit outside the box. The ideal candidate has it all: software engineering skills, a broad familiarity with analytic methods and tools, experience with big data challenges. You will be a member of a team supporting a range of large-scale data mining and analysis projects, being the bridge between business users and our platform development engineers. The candidate will design and implement cutting edge self-service data exploration tools. S/he should be able to leverage open source machine learning and statistics libraries in order to solve complex business problems with the required rigor. Also, surrogate or foreign keys should not be foreign words to the candidate.

     

    Your role will involve…

     

    • Working directly with business stakeholders to understand their requirements and enable them to derive insights from available data sources
    • Implementing and maintaining a set of mission critical KPI’s for the business
    • Designing, implementing and supporting a self-service data exploration platform.
    • Being an internal analytics consultant / evangelist
    • Developing and promoting advance analytics models in order to tackle business problems across the organization
    • Building visualisations on internal and external data sets to help our users understand the data

    Qualifications

    • Bachelor’s degree in computer science, information systems or related technical field, a Master’s degree is a plus
    • 3+ years of professional work experience in an analytics-focused role
    • Ability to thrive in a fast-paced environment while having a well-organized working method
    • A professional attitude with strong interpersonal and communication skills at different levels
    • Significant past experience with SQL, dimensional data modeling, relational and columnar databases
    • Basic understanding of statistics, probability and machine learning algorithms
    • Fluency in English written and spoken

    Ideal candidate would have

    • Programming and/or scripting experience in Python, Spark
    • Familiarity with machine learning libraries such as scikit-learn, SparkML
    • Working knowledge of databases like Redshift, Snowflake, Postgres
    • Experience with AWS technologies
    • Experience in creating web-based data visualizations

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