Depends on the team you work in- it can be great or a nightmare - Business Analyst AstraZeneca Employee Review

3.0
Jan 27, 2023
Recommend
CEO approval
Business Outlook

Pros

I’ve worked in AZ over 2 years. At the beginning the office, salary, benefits and the policy of treating employees made me feel I was in a story tale. Coworkers were fantastic and super friendly (at least in the first team I worked). Unfortunately, after few months my rose-colored glasses fell to the ground with a thud when I realised how toxic environment I needed to work in.

Cons

The worst management I experienced in my several years of career as a data analyst. During these 2 years I had two team managers, both same horrible, inhuman, unprofessional, unsupportive, pushy, without any experience in people management, using micromanagement, pushing you under a moving bus in critical situations, leading you directly to the depression and panic attacks. Under their fake smile there was a lot of rudeness and selfishness. Higher management knowing what was going on did nothing to improve the situation. The rotation was the highest I’ve ever seen in both teams. Additionally, the company pays in Poland around 80% of market median and have unpaid overtime, so my disappointment was really huge. Be also prepared that the new joiners can get even 1,2-2k pln more than you on the same position for some time.

Explore other reviews about AstraZeneca

5.0
Jun 17, 2026
Recommend
CEO approval
Business Outlook

Pros

great place to work and develop!

Cons

could maybe have more transparency

1.0
Jun 19, 2026
Recommend
CEO approval
Business Outlook

Pros

The page is friendly to make an application.

Cons

As an experienced healthcare analytics and commercial leader, I applied to 104 U.S.-based positions at AstraZeneca between 2025 and 2026 that closely matched my background. Despite receiving interviews from peer organizations, I did not receive a single recruiter interaction. I fully understand the competitiveness of hiring, but such a complete lack of engagement raises questions about potential overreliance on AI screening or unintended bias.

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