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Analytics Engineer

Analytics Engineer

Job ID 
21236
Category 
Software Development

Job Summary

Job Description

Cimpress is a company on an audacious 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 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. The ideal candidate brings a combination of solution architecture, software engineering skills, familiarity with analytic methods and tools, and 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 provide support for cutting edge self-service data exploration tools. S/he is expected to have experience with dimensional data modeling and surrogate or foreign keys should not be foreign words to the candidate.
 
Your role will involve:
- Developing and contributing to solutions to facilitate the Cimba vision
- Working directly with business stakeholders to understand their requirements and enable them to derive insights from available data sources
- Providing global support for our self-service data exploration platform
- Building reference data models and best practices for dashboard and report creation
- Being an internal analytics consultant / evangelist

In return you will:
 
- Bachelor’s degree in computer science, information systems or related technical field, a Master’s degree is a plus
- A passion for analytics and tools to extract insights from data
- Ideally 1-3 years of professional work experience in an analytics-focused role
- Significant past experience with SQL, and general understanding of dimensional data modeling
- Good working knowledge of BI tools such as Looker, Tableau, QlikView, etc.
- Understanding of compute/storage elasticity, concepts such as Spark, Hadoop, time-series data
- 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
- Be comfortable working with agile / scrum / kanban
- Pro-active and taking initiative
- Experience in programming languages is a plus
- Be able to develop in a cloud-first environment
- Fluency in English written and spoken 
We offer:
- Competitive salary and relocation package
- Travel expenses
- Health insurance
- Pension contribution
- Most challenging environment you will probably see in the industry
- Newest techniques and tools
- Working with professionals
- A lot of responsibility to make your own technical choices
- The ability to develop yourself to be the best
- Personal AWS lab for your own skill development granting you the ability to leverage the entire AWS ecosystem
- Access to tools that any data/analytics fan would dream of

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