Is Infor a good company to work for as a Data Science?

Data Science professionals working at Infor have rated their employer with 3.9 out of 5 stars in 16 Glassdoor reviews. This is an average score with the overall rating of Infor employees being 3.9 out of 5 stars. Search open Data Science Jobs at Infor now and start preparing for your job interview by browsing frequently asked Data Science interview questions at Infor .

Does Infor pay Data Science employees well?

Data Science professionals rate their compensation and benefits at Infor with 4.4 out of 5 stars based on 16 anonymously submitted employee reviews. This is 22.8% better than the company average rating for salary and benefits. Find out more about Data Science salaries at Infor.

What are the top reviewed jobs at Infor?

Software Engineer (543) , Senior Software Engineer (206) , Consultant (197) , Associate Software Engineer (181) , Associate Consultant (117) , Quality Assurance Analyst (116) , Senior Consultant (105) , Product Support Analyst (92) , Project Manager (90) , Business Analyst (80) , Manager (59) , Devops Engineer (52) , Account Executive (49) , Software Developer (43) , Technical Consultant (43)

What are the pros of working at Infor according to real employee reviews?

"The work life balance is good and you can clearly separate your personal from your professional life." ((in 565 reviews)); "Some of the people you work with are great otherwise I wouldn't have anything to say" ((in 297 reviews)); "Very diverse and good culture" ((in 260 reviews)); "Good Benefits and fast paced development" ((in 251 reviews)); "Salary is good and hike" ((in 221 reviews))

What are the cons of working at Infor according to real employee reviews?

"Management poor and politics more" ((in 229 reviews)); "No training and no one takes responsibility for anything." ((in 77 reviews)); "Poor leadership (especially recently)" ((in 66 reviews)); "upper management barely acknowledges the lead generation team" ((in 41 reviews)); "Senior management has changed a lot since I was there." ((in 24 reviews))

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Infor

Part of Koch

Infor Data Science reviews

3.9

99% would recommend to a friend

(16 total reviews)

Kevin Samuelson

99% approve of CEO

99% positive business outlook

Ratings by category

4.7

Diversity & inclusion

4.5

Work/Life balance

4.4

Culture & values

4.4

Compensation and benefits

4.1

Senior management

4.0

Career opportunities

Data Science employees have rated Infor with 3.9 out of 5 stars, based on 16 company reviews on Glassdoor. This indicates that most Data Science professionals have a good working experience there. Infor is rated in line with the average (within 1 standard deviation) by Data Science professionals compared to other employers within the Information Technology industry (3.7 stars).

Ratings by demographic groups

Race / Ethnicity

Gender

Sexual orientation

Disability

Parent or family caregiver

Veteran status

Reviews by job title

16 reviews

3.0

Feb 4, 2020

Not great

Data scientist

Recommend

CEO approval

Business Outlook

Pros

Amazing team and people, fun to collaborate

Cons

Executives, constant reorganization/acquisition is a nightmare

3.0

Nov 19, 2019

Enjoyable work structure; questionable business strategy

Data scientist

Recommend

CEO approval

Business Outlook

Pros

In such a research-oriented role, I was happy with the degree of autonomy granted to carry out my job duties using my knowledge and expertise. Compensation was fair.

Cons

Expectations on performance were not always clear. New business strategy of greater Infor seems to value short-term cost-cutting rather than long-term business success and caring for its employees.

5.0

Jul 12, 2019

Machine learning

Data scientist

Recommend

CEO approval

Business Outlook

Pros

Innovation, autonomie, flexibility , encouragement

Cons

Team management could be better

Viewing 13 - 15 of 16 Reviews

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Sales Operations Analyst

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Infor Data Science reviews

Ratings by category

Ratings by demographic groups

Reviews by job title

Not great

Enjoyable work structure; questionable business strategy

Machine learning

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