Modern Analytics Stack Engineer – From ELT to Analytics

About DataBright

Onboarding a modern analytics stack requires a radical new approach to analytics. We at DataBright have embedded this approach at the core of our services design. By employing the brightest minds in data, we believe we can provide our expertise, knowledge and best practices in a streamlined, highly reproducible way. Working with DataBright ensures a fast time to insight and the best possible ROI on your analytics project. As a Data Science & Analytics Consultancy firm, DataBright, provides Fortune 5000 Companies with services ranging from modernizing their Analytical Stack to AI & ML Engineering. With clients including, VodafoneZiggo, Syntrus Achmea, YoungCapital, and NTT Docomo.

About Analytics Engineering

Analytics Engineering is all about providing customers with best-in-class analytics solutions. Whether that means building a new ELT procedure, managing data in a warehouse or creating easy-to-use dashboards, we will prove ourselves to be the go-to partner when it comes to the modern analytics stack. You will become a subject matter expert in Data Engineering, Data Science and Analytics to help organizations with building their vision on analytics and data strategy. You understand how to use data to steer the business and maximize the success of analytics, aligned with the team and business goals. The combination of your in-depth knowledge and technical skills will make you a sparring partner for the boardroom, while you work alongside the data teams and different business departments.

What are we looking for?

DataBright is looking for talented data professionals with great story-telling skills. 

Someone who wants to work fully independent on the full analytics stack. We want you to take ownership of a project. From gathering business requirements to gathering the right data, we want you to use your creativity and imagination to provide valuable business insights that can cut a deal. Are you Tech-savvy and interested in business processes? You might be someone we are looking for.

Who are you?

  • University level (Computer Science, Information Science, Artificial Intelligence, Software Engineering)

  • Knowledge of Business Intelligence tooling (Power BI, OAC, SAP BO, Cognos, Looker)

  • Knowledge of Data Science (Artificial Intelligence, Machine Learning)

  • Knowledge of cloud data warehousing technologies (Snowflake, Redshift, Bigquery)

  • Basic understanding of ETL or ELT procedures

  • Able to smoothly introduce changes using excellent stakeholder management, change management, and storytelling skills. 

  • Strong communication skills, especially in a consensus-driven culture where a diversity of perspectives is cherished.

  • The ability to think critically about the business opportunities users of the analytics platform creates and from there build tools and visualizations that meet their needs.

What do we offer?

  • A competitive salary

  • Technical training and Certification for the latest analytics technologies

  • Flexible working hours

  • Working with the world’s leading companies

  • Challenging projects and fantastic customers

  • Room to develop your outgoing personality