Aviva interview process & guide 2026
Everything we know about interviewing at Aviva: the process stage by stage, what each round tests, compensation by level, and reports from candidates who interviewed.
- 1Initial screening
- 2Assessment center and/or behavioral assessments
- 3Technical assessments and interviews
- 4Final stage: executive discussion and/or final presentation
Interviewing at Aviva
Aviva’s interview process, as reported for the roles covered in this dataset, centers on multiple screening steps, then moves into technical evaluation and, for some candidates, assessment-center style components and a final exec-facing step. The topics that show up most often across the question data are ETL, Business Analysis, Machine Learning Engineering expectations, and Solutions Architecture, plus a strong secondary emphasis on data quality, data wrangling, case study analysis, and lakehouse architecture.
What you are really being tested on is your ability to handle end to end data work and data platform thinking, combined with business analysis and case based problem solving. The highest percentile topics are ETL, Business Analysis, Machine Learning Engineering expectations, and Solutions Architecture, and the rest of the long list shows that you should be ready to discuss data quality governance, data wrangling, case study analysis, and regulatory compliance reporting alongside core software engineering and coding/writing code.
In terms of what to expect after interviews, the dataset does not provide a timeline or any offer outcomes, the reported offer rate is 0.0%. You should also expect a mix of evaluation styles: recruiter screens, technical assessments that may include take-home assignments or live data tests, behavioral and cultural fit checks, and in some cases group activities, aptitude or situational judgment tests, and a final presentation or executive discussion.
The most prominent topics in the question data span both data engineering and data platform design (ETL, lakehouse architecture, data quality governance) and business analysis (business analysis, regulatory compliance reporting, case study analysis), so you should expect technical depth to be paired with business reasoning rather than purely coding.
How hard is the Aviva interview?
Aggregated from 503 interview experiencesAbout 1 in 3 candidates with a known outcome convert.
The interview process, end to end
4 rounds · based on 503 candidate reports- 1Initial screening
You start with screening calls with an internal recruiter to assess your background and fit for the role. This step is listed as the process beginning with a screening call, and it is aimed at basic qualifications and fit.
- 2Assessment center and/or behavioral assessments
Some candidates go through assessment-center style evaluation, which can include group activities or presentations, aptitude tests, and situational judgment tests. Behavioral assessment and behavioral interviews are also listed to evaluate teamwork and high level design capabilities, plus cultural fit and teamwork.
- 3Technical assessments and interviews
You then complete a series of interviews and technical evaluations. Technical assessments may include take-home assignments or live data tests, and the prominent topics to prepare for include ETL, data wrangling, data quality governance, case study analysis, solutions architecture, lakehouse architecture, regulatory compliance reporting, and coding or writing code.
- 4Final stage: executive discussion and/or final presentation
The process concludes with a final executive discussion for some candidates, and for others there is a final presentation to showcase skills and fit for the team. The dataset does not provide the ordering or exact combination across roles, only that these appear as concluding steps in the reported process.
What Aviva actually tests for
How prominent each skill is across reported loopsFind the guide for your role
This is your next step: open the guide for the role you are interviewing for. Each one carries the questions Aviva interviewers actually ask that position, the loop structure, and pay by level.
Real interview experiences
What candidates said about the loop, difficulty, and outcomes, straight from recent reports for these roles.
What Aviva pays, by level
Estimated total compensation: base salary plus stock and annual cash bonus.
What separates offers from rejections
Patterns from candidates who got offers, and the mistakes that most often sink a loop.
Do this
- Prepare to explain ETL end to end, including how you would transform messy inputs into reliable outputs, since ETL is the top percentile topic and data wrangling and data quality governance are also highly present.
- Practice case study style responses that combine business analysis with technical decisions, because case study analysis is prominent and business analysis is also at the top percentile.
- Brush up on solutions architecture and lakehouse architecture, and be ready to describe tradeoffs at a system level, since both appear at very high percentile levels.
- Be ready for technical assessments that can include take-home work or live data tests, then follow that with behavioral and teamwork oriented discussions, because those evaluation types are listed in the reported process steps.
Avoid this
- Do not focus only on general data analysis or only on coding, because the topic distribution heavily emphasizes ETL, solutions architecture, and machine learning engineering expectations, not just ad hoc analysis.
- Avoid treating data quality as an afterthought, since data quality governance and regulatory compliance reporting are both in the highly prominent set of topics.
- Do not ignore collaboration and communication, because assessment-center style components like group activities and presentations are explicitly listed in the reported process steps.
- Do not assume there is a single consistent step order across all roles, because the dataset lists different step variants for different roles, including different kinds of assessment center and different final steps like executive discussion or a final presentation.
Aviva interview FAQ
Answered from real candidate and workplace dataHow hard is the process, and what does that mean for me?
The reported difficulty split is 18.4% easy, 65.2% medium, 14.3% hard, and 2.0% very hard. That suggests you should plan for a mostly medium set of evaluations, with some harder technical or assessment components possible.
What is the offer rate from these reports?
The dataset reports an offer rate of 0.0%. It also shows positive sentiment of 50.8%, but the dataset does not provide further breakdown of who offered and why.
How long is the interview loop?
The dataset does not provide any duration or overall timeline for the loop. It only lists the types of steps, like recruiter screening, technical assessments, and final executive discussion or final presentation for some roles.
What should I prioritize in my prep based on what Aviva actually asks?
Prioritize ETL, business analysis, machine learning engineering expectations, and solutions architecture since they are the top percentile topics. Then prioritize data quality governance, data wrangling, case study analysis, and regulatory compliance reporting because they are also very prominent.
Will I have to do coding or live data tests?
The reported topics include coding or writing code, and the reported technical assessment steps state that assessments may include take-home assignments or live data tests. Plan for both written or code oriented evaluation and hands on data work.
Can I reapply if I do not pass?
The dataset does not mention reapplication or retry policies. If you want, tell me which role you are interviewing for and I can map the topic emphasis from the dataset to a prep plan.
What people say about Aviva
Verbatim snippets from employee and candidate reviews“While the workplace culture is generally positive, the compensation does not reflect the effort put in, and pay increases are not tied to performance or job complexity.”
“To foster a more productive environment, management should recognize and reward employees who take initiative and contribute significantly.”
“The work-life balance is commendable, along with a solid pension and stock scheme.”
“Compensation is mediocre, and the leadership creates a toxic environment that hinders growth.”
“Avoid this company if you're looking to enhance your technical skills, as the tech culture is limiting.”
“While the company provides valuable initial experience, there are limited opportunities for career progression.”
Related company guides
Companies that hire for the same data roles
Ready for your Aviva interview?
Practice the exact questions from this guide with AI feedback, and walk into your loop knowing what to expect.