Analytics Engineer

DOES THIS SOUND LIKE YOU?
Your passion is data and analytics. You want to create value for our clients by uncovering, organizing, and making sense of data. You understand that it is important to build robust solutions. You feel comfortable operating in the sweet spot between business and engineering.

WHAT YOU WILL DO TO MAKE ORGANIZATIONS DATA-DRIVEN
The Analytics Engineer is the bridge between business and analytics. You understand what data can bring to the organization. With your effective communication skills, you help uncover business needs and how to support them with data, reporting, and visualization. You use software engineering best practices to write production-grade data pipelines, making high-quality data available for creating business value with analytics. You leverage modern tooling to model, test, and document data.
Your efforts enable data democratization by improving the reliability and accessibility of data products. As an Analytics Engineer, you play a vital role in empowering end users to make data-driven decisions.
Check out our website or one of our customer stories to get a more detailed understanding of what we do.
Interested in learning more about how and why the role of Analytics Engineering emerged? You can read this blogpost from one of our Analytics Engineers!

WHAT WE ARE LOOKING FOR
Within the Analytics Engineering team, we are looking for like-minded people that we would like to work with. We are not looking for a specific type of professional. We all come from very different cultural and educational backgrounds. We love this diversity, and we built an inclusive culture around it. We do not judge, instead, we care about and support each other. We share a genuine curiosity about what we do, and together we get better at it every day. We look for people with this mindset before anything else. The Analytics Engineer is part of the central data platform team and reports to the Data Platform Lead. The Analytics Engineer works closely with the Data Engineers, the Data Governance Specialist, and the Data Stewards from the domains. During the Foundation and Operationalization phases, the Analytics Engineer temporarily fulfills the steward role for departments that do not yet have their own Data Steward.

Responsibilities and tasks

· Designing and building data transformations that convert raw data from the platform into semantic datasets and data products

· Developing reports, dashboards, and analytical datasets in collaboration with Data Stewards and business users

· Translating content-related questions from the business into technical data products in collaboration with the Data Steward of the relevant domain

· Contributing to the business glossary in Microsoft Purview, particularly regarding the definitions resulting from transformations

· Documenting datasets and data products in a manner accessible to business users

· Performing acceptance tests on data deliveries together with the Data Owner and requester

· Contributing to data quality incidents as described in process 3 of the TOM, particularly regarding reports arising from transformations or data products

· Participating in the agile working method of the team

· Contribute to code reviews and quality assurance of the work of fellow engineers

Mandate and authority

· Decide on the technical implementation of transformations within the architectural frameworks and in consultation with the Data Platform Lead

· Advises Data Stewards and Data Owners on the technical feasibility and suitability of requests from the business

· Temporarily holds the mandate of Data Steward for departments without their own Steward, including the associated responsibilities as described in section 2.6 and the RACI matrix of the TOM. Collaborative Relationships

· Daily with other Analytics Engineers, Data Engineers, and the Data Platform Lead

· Regular with Data Stewards from the domains being built

· Regular with the Data Governance Specialist (alignment regarding definitions and metadata)

· During the temporary steward role: regularly with the relevant Data Owner and with employees within the domain

· Periodically with business requesters for large or complex requests

Time Commitment

Full-time position (1 FTE). The distribution between regular Analytics Engineer duties and the temporary steward role depends on the number of departments without their own Steward. In the Foundation phase, up to 30 percent of the time is expected to be spent on the temporary steward role, decreasing as more departments appoint their own Steward.