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Overall employee rating

2.9
Based on 9 reviews
5
4
3
2
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Detail Ratings
Work life balance
3.0
Career Growth
2.0
Work flexibility
3.0
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
2.6
1 March 2026
Leadership needs serious improvement here
Pros: The work for analytics projects can be pretty interesting. I've learned a lot technically as a Data Analyst. Plus, the hybrid work model is a decent perk.
Cons: Leadership often seems out of touch with ground-level work. Decisions for client data solutions feel top-down, without much team input. It's tough to get clear direction or support in the Austin, TX office.
Advice to Management: Listen to your data engineering and analytics teams more. Implement better communication channels and empower team leads to make more decisions. Invest in leadership training for middle management.
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Data Analyst
2.9
26 February 2026
Leadership Can Be a Real Mixed Bag
Pros: I've picked up a lot about the data management industry here. The team is really collaborative, which is a big plus. Benefits are pretty decent for a corporate setting.
Cons: Leadership often lacks clear direction for us in Data Analyst roles. It's hard to get consistent feedback. The executive team sometimes feels out of touch with daily work.
Advice to Management: Invest in better leadership training for managers. Work on clearer communication from the top. Help teams understand the big picture more often.
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Data Analyst
2.7
25 February 2026
Okay for Entry-Level, Hard to Grow Here
Pros: It's a solid place to get your foot in the door if you're an entry-level data analyst. The hybrid work setup in Austin, TX is pretty flexible, which is a big plus. You'll learn a lot about basic data processing and reporting.
Cons: Career growth for data analytics roles isn't really a priority here. There aren't many clear paths to move up, especially into senior data science positions. Professional development budgets are super tight, so don't expect much training.
Advice to Management: Invest in clear career progression frameworks for technical roles, especially for data analysts and data scientists. Provide better budgets for external training and certifications.
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Latest jobs from Frontline Data Solutions

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Data Analyst
3.1
24 February 2026
Hybrid Model is Okay, But Needs More Flexibility
Pros: As a Data Analyst, the hybrid schedule was predictable. I was in the Austin, TX office 2-3 days a week. It was manageable for my specific data integration tasks, and I liked seeing colleagues in person.
Cons: True work flexibility isn't great if you need full remote. They require 2-3 days in the Austin, TX office, even for many data roles. The core hours are pretty strict, which limits WFH day flexibility if you have appointments.
Advice to Management: Consider offering more remote options for data solutions teams, especially for roles that don't require constant in-person interaction. Loosen up core hours a bit to genuinely improve work flexibility.
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Data Analyst
3.1
13 February 2026
Pay's Alright, Benefits Lag Behind
Pros: As a Data Analyst, my base salary was solid, especially for a fully remote gig. They do pay competitively for roles in the data analytics industry. It's probably the best part about compensation here.
Cons: The health benefits are pricey, and the 401k match isn't much to write home about. PTO also felt a bit stingy. You really feel the difference compared to what other tech companies offer.
Advice to Management: Seriously look at beefing up the benefits package. Better health plans and a stronger 401k match would make a huge difference for retention.
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Data Analyst
3.0
8 February 2026
Limited Growth for Data Analysts in Austin
Pros: The team is genuinely supportive; I like my colleagues. The hybrid model offers some work flexibility. Plus, the office in Austin, TX is pretty nice, and they do have decent perks sometimes.
Cons: Career growth for Data Analysts is a real struggle. There's not a clear path to advance, and it feels like promotions are rare in data solutions. I haven't seen much movement for people in junior to mid-level data science roles.
Advice to Management: Please establish clearer career paths and invest in training for technical roles. It would help a lot with retaining talent, especially for Data Analysts and those looking into advanced data science roles.
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Data Analyst
3.0
5 February 2026
Benefits are okay, but pay could be better
Pros: They have a pretty decent 401k match, which is good for long-term savings. The health coverage is also solid, especially for a company in the data analytics industry. It's a stable company.
Cons: As a Data Analyst, the base salary just isn't competitive compared to other tech companies in Austin, TX. Annual raises are usually pretty small, so it's hard to really move up financially here. Can't really grow your income much.
Advice to Management: Seriously re-evaluate the compensation structure for all roles, especially for experienced technical positions like Data Analysts. Market rates have gone up, and your salaries haven't kept pace. You're losing good talent because of it.
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Data Analyst
3.1
30 January 2026
Job security isn't what it used to be
Pros: The team in the Austin, TX office is genuinely great to work with. There's a decent work-life balance for data analyst roles here, usually hitting around 40-hour weeks. Benefits like health insurance are pretty solid too.
Cons: Job security has taken a hit lately. We've seen a few rounds of layoffs, especially for some of the older data processing roles, which makes everyone nervous. It's tough in the current data solutions industry climate.
Advice to Management: Be more transparent about company direction and future plans. It would help a lot with employee morale during these uncertain times.
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Data Engineer
2.7
13 December 2025
Job Security is Decent, But Could Be Better
Pros: I liked being able to work remote from Austin, TX. That flexibility was huge for my work-life balance. As a Data Engineer, the projects were challenging, and I learned a lot of new tools in data warehousing.
Cons: Job security isn't the best here. It often feels like a startup with how quickly priorities shift, even though it's a more established company. There's not much clear career progression for senior data roles, which can make you wonder about long-term stability.
Advice to Management: Management should focus on creating clearer growth paths for all data analytics roles and be more transparent about the company's financial health. It would ease a lot of employee anxiety.
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