Real, anonymous reports from people who interviewed for Data Analyst at Turing, newest first and distilled into what to expect across the loop.
After applying, I received an email confirmation that confirmed I was preselected. Shortly after, I was sent a test where I had to record my screen while completing it, and I had about 30 minutes to finish.
The process started with a Python assessment that took about 90 minutes. After I passed that evaluation, I was moved into a follow-up screen focused on data handling and task management. It felt very practical, like they wanted to see how I thought while working with code rather than just whether I knew the syntax.
Candidates typically start with a coding assessment focused on Python, often requiring them to solve multiple questions within a set time limit. The difficulty ranges from easy to medium, and performance in this round is crucial for progressing to subsequent stages.
Following the coding rounds, candidates often face a data analysis round where they work with datasets and may need to perform operations or answer multiple-choice questions based on their findings. Some candidates also encounter a technical writing component where they analyze code or explain their reasoning.
Some candidates experience a final HR round that includes behavioral questions and discussions about work culture. This round typically occurs only after successful completion of the technical assessments, making it feel like a confirmation of progress.
The interview process is generally structured with clear gates between rounds, but candidates report variability in communication and follow-up after assessments, leading to uncertainty about their progress and outcomes.
Candidates often describe the coding assessments as challenging, with some feeling that the difficulty of the questions did not align with the time allotted. This can lead to a stressful experience, especially if candidates are not adequately prepared for the level of complexity.
Despite a well-structured process, many candidates do not receive offers, leading to reflections on how to improve their performance in future interviews. The experience is often described as competitive, with a focus on both technical skills and analytical thinking.