Impact Analytics delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics.
With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights, rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been at the forefront of AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across retail, grocery, manufacturing, and CPG sectors.
Recognized for innovation and growth by Fortune, Financial Times, Inc. 5000, and the RIS Leaderboard, Impact Analytics continues to lead the way in shaping the future of business intelligence.
Think differently about AI. Explore the possibilities with Impact Analytics.
Rating Reviews
Rating is calculated based on
9
reviews and is evolving.
Pros: The team culture is really collaborative. Everyone's pretty supportive, which is great for a data analyst. We get to work on interesting retail analytics projects, and there's a good buzz around innovation in AI solutions.
Cons: Sometimes it feels like there are too many hats to wear. The workload can get heavy, especially when pushing out new features. Work-life balance can be tough for individual contributors in this industry.
Advice to Management: Try to better distribute the workload and consider more resources for individual contributor roles. More structured career paths for data analytics teams would also help improve employee retention.
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Pros: I've learned a lot about retail analytics and AI solutions here, which is great for career growth. The projects for clients are really interesting, and there's good exposure to modern data tools. Plus, working remote is a huge perk, giving flexibility.
Cons: Job security isn't the best, especially for a mid-sized tech company. There's been a lot of turnover, and sometimes projects get canceled abruptly, leaving people in limbo. It makes you wonder if your role as a Data Analyst is truly stable long-term.
Advice to Management: Try to be more transparent about company direction and project stability. It would help a lot with employee morale and retention.
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Pros: I've appreciated the hybrid work model here, especially for entry-level roles. It's nice to get a couple of remote days each week, which helps with my commute. This setup is pretty standard for many tech companies now.
Cons: As a Data Analyst, I sometimes wish for more flexibility. There are specific project deadlines that often require being in the Baltimore, MD office more than the standard two days. It can be tough to juggle.
Advice to Management: Consider allowing more flexible remote options for experienced Data Analysts or those with long commutes. Some project-based roles might benefit from a consistent 3/2 split rather than ad-hoc changes.
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What is the typical work environment like at Impact Analytics, especially for data scientists in the healthcare analytics space?
No answers yet.
What kind of health and wellness benefits does Impact Analytics offer its employees?
No answers yet.
What is Impact Analytics' policy on remote work for data scientists in the New York area?
No answers yet.
What is the day-to-day work environment like at Impact Analytics for a data analyst?
The culture at Impact Analytics encourages collaboration and continuous learning, especially for roles like data analysts. You'll often work in cross-functional teams on client projects, with opportunities to share insights and receive feedback. The environment is fast-paced, focused on delivering actionable intelligence to clients in the healthcare sector.
What is the typical work environment like at Impact Analytics for a data scientist?
The work environment at Impact Analytics for a data scientist is collaborative and fast-paced, focusing on delivering actionable insights to clients in the healthcare industry. Expect a culture that values data-driven decision-making and continuous learning within a team of experienced professionals.
What is the typical work-life balance like for a data analyst at Impact Analytics, and how does the company support employee well-being?
Impact Analytics fosters a results-oriented work environment that generally supports a good work-life balance. The company encourages open communication and provides resources to help employees manage their workload effectively, which is key for roles like data analysis in the competitive tech sector.
What is the typical work environment like at Impact Analytics, especially for data scientists in the New York area?
The culture at Impact Analytics is collaborative and fast-paced, emphasizing data-driven insights. Expect a team-oriented environment where junior data scientists work closely with senior analysts and management to deliver impactful results for clients in the healthcare analytics sector.
What is the typical salary range for a Data Scientist role at Impact Analytics, and how does it compare to other analytics firms in the healthcare sector?
For a Data Scientist position at Impact Analytics, salaries generally range from $110,000 to $150,000 annually, depending on experience and specific project involvement. This compensation is competitive within the specialized healthcare analytics industry, reflecting the technical skills and domain knowledge required for their client solutions.
