Overall employee rating

3.1
Based on 13 reviews
Rating distribution: 0 reviews rated 5 out of 5 stars. 1 reviews rated 4 out of 5 stars. 8 reviews rated 3 out of 5 stars. 4 reviews rated 2 out of 5 stars. 0 reviews rated 1 out of 5 stars.
5
4
3
2
1
Detail Ratings
Work life balance
3.0
Career Growth
3.0
Work flexibility
4.0
Job Security
3.0
Pay and benefits
3.0
Leadership
3.0
Company Culture
3.0
Disclaimer: Reviews on Jobstore are independently submitted by users; we do not guarantee the accuracy or truth of any individual submission. Read more
Data Analyst
3.1
13 December 2025

Career Growth is Tough for Data Analysts

It's a decent place if you want stability and a good hybrid schedule. Don't expect rapid promotions or a clear path for career growth here though. Especially tough for Data Analyst roles.


Pros

The hybrid work arrangement is a real plus for work-life balance. You don't feel chained to your desk. There's also good stability here, especially for entry-level Data Analyst roles.


Cons

But if you're looking to move up, it's pretty slow. There aren't clear career paths in the data science industry. Training and development programs are almost nonexistent.


Advice to Management

You really need to build out structured career paths. Give Data Analyst roles a clear idea of how to progress. Invest in training and mentorship programs for the data science team.


Ratings by topic
4.0
Work life balance
2.0
Career Growth
4.0
Work flexibility
3.0
Job Security
3.0
Pay and benefits
3.0
Leadership
3.0
Company Culture

Similar reviews
Data Analyst
4.0
27 April 2026
Good Place to Grow Your Analytics Skills
Pros: Working here as a Data Analyst, I've really valued the collaborative team and the learning opportunities. Colleagues are always willing to share knowledge, which is great for skill development in the data analytics space. The projects are usually interesting, giving good exposure to different business problems and datasets. It's a stable environment overall.
Cons: Project timelines can get a bit tight sometimes, meaning occasional busy periods. The internal communication flow could be improved, especially between different teams. Also, the approval process for new software can be slow.
Advice to Management: Focus on streamlining internal communication channels and reviewing project approval processes to enhance efficiency and reduce occasional crunch times for employees.
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Data Analyst
2.9
6 April 2026
Good for entry-level, but growth stalls
Pros: As a Data Analyst, I learned a ton about the data analytics industry processes here. The remote work setup is solid for flexibility, which I appreciate. You get good exposure to different client projects when you first join the team.
Cons: Career growth is pretty slow, honestly. There's not much of a clear path for promotions or taking on more senior analytics roles. It's tough to get budget for training on new skills once you're past the initial onboarding period.
Advice to Management: Management needs to invest in clearer career paths and more advanced training for employees. Define what it takes to get promoted beyond an entry-level position and provide resources for skill development in the data analytics space.
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Data Analyst
3.0
2 March 2026
Leadership needs more focus on people
Pros: The projects in business intelligence are really interesting. I learned a lot about advanced predictive modeling techniques. My immediate team members are super supportive, especially working in our hybrid work setup.
Cons: Upper management sometimes feels disconnected. As a Data Analyst, it's tough to get clear direction on bigger data strategy initiatives. There's not enough transparency from leadership, which impacts morale in our mid-sized tech company.
Advice to Management: Leadership needs to work on clearer communication channels. More transparent decision-making would really help build trust. Listen to employee feedback, especially for us analytics professionals.
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