Analytics Engineer

Mid-level Analytics Engineer talent pool in Toronto, focused on a warehouse layer analysts do not have to copy. Employer assignments use this pool when they need a Analytics Engineer in Toronto, Canada, who is accountable for a warehouse layer analysts do not have to copy. The useful week is spent publishing the model, documenting it, and retiring a copied query when the model replaces it, with mistakes corrected in the open rather than buried. Responsibilities - Review the published model for the where analysts should query and correct it before anyone else relies on it. - Keep a single current docs, and archive the older copy once you have dealt with a description on the table. - Ask an analyst to challenge the copied query, especially around a spreadsheet logic you are replacing. - Write the assumption behind the deprecation in two or three plain sentences, and mention an old table people should stop using. - Compare this week's office hours with the previous one and explain a question that became a doc. - Stop and rework the breakage if you find the who you told when a column changed. Requirements - Roughly 3 to 6 years of giving analysts a shared warehouse layer that matches this analytics engineer profile, or a shorter record with the same kind of finished work. - Practical skill with SQL models and table documentation in analytics engineer work, not a certificate alone. - Able to explain which old table to stop using to a colleague who was not in the room. - Careful with logic copied into many spreadsheets; this is checked in review of analytics engineer work. - For the analytics engineer brief in Toronto, use the working language of that assignment in Canada. Nice to have - Table docs is useful on analytics engineer assignments in Toronto, and it is not required. - People who have already done deprecation can start this analytics engineer brief with less coaching. - Breakage notices is a plus for analytics engineer work based in Toronto. Skills SQL, data modelling, metric definitions, transformation tests, version control, documentation, warehouse tables, stakeholder translation Working conditions This is an on-site analytics engineer listing in Toronto, Canada. Work happens at the assignment's premises. The usual week is Monday to Friday, on Eastern Time. The work can be remote and is desk-based. Metric disputes need time with finance or operations at the hiring base. Location The hiring base for this analytics engineer listing is Toronto, Canada. English is the working language for this Toronto brief. Qualified people are considered without regard to race, color, religion, sex, national origin, age, disability, or other characteristics protected by applicable law. This is a talent-pool listing. Your profile will be reviewed and matched to employer openings that fit; submitting an application does not guarantee an interview or placement.