Overall employee rating

3.0
Based on 12 reviews
Rating distribution: 0 reviews rated 5 out of 5 stars. 0 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.
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4
3
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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
15 February 2026

Okay flexibility, but room to grow.

Acuity Analytics is decent, especially if you're in an entry-level analytics role. The hybrid model works for some, but I think they could offer more remote options. The pay is solid for the data analytics industry.


Pros

I liked the hybrid model initially, getting 2-3 WFH days a week. It was nice not commuting to the Austin, TX office every single day. For junior Data Analyst roles, the schedule is pretty predictable.


Cons

The 'flexibility' mostly means hybrid. I really wanted more fully remote options, especially for experienced analytics professionals. Getting approvals for anything beyond the standard hybrid schedule can be a real pain.


Advice to Management

Consider offering more fully remote positions, especially for senior analytics roles. Trust your employees to do the work, regardless of location. The current hybrid setup is good, but many people in the data analytics industry are looking for full flexibility now.


Ratings by topic
3.0
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

Similar reviews
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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Data Analyst
3.0
14 February 2026
Pay is decent for a mid-sized tech firm
Pros: For a Data Analyst in the Boston market, the base salary is competitive. They offer solid health insurance and a good 401k match. It's a decent package overall for a mid-sized tech firm.
Cons: There aren't many opportunities for significant bonuses or equity, which can be tough for analytics roles. Compensation reviews don't happen often enough, making it hard to feel like you're growing financially. Benefits beyond healthcare are pretty standard, nothing extra special.
Advice to Management: Look into more frequent compensation reviews and consider offering some form of equity or performance bonuses, especially for key analytics roles. It'd help with retention.
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