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1 | Unique ID | Date Taken (America/New_York) | Time Taken (America/New_York) | Browser | OS | City | Country | Referrer | Time Spent | Q1 - Which Title Best Fits your Current Role? | Q2 - Did you switch careers into Data? | Q3 - Current Yearly Salary (in USD) | Q4 - What Industry do you work in? | Q5 - Favorite Programming Language | Q6 - How Happy are you in your Current Position with the following? (Salary) | Q6 - How Happy are you in your Current Position with the following? (Work/Life Balance) | Q6 - How Happy are you in your Current Position with the following? (Coworkers) | Q6 - How Happy are you in your Current Position with the following? (Management) | Q6 - How Happy are you in your Current Position with the following? (Upward Mobility) | Q6 - How Happy are you in your Current Position with the following? (Learning New Things) | Q7 - How difficult was it for you to break into Data? | Q8 - If you were to look for a new job today, what would be the most important thing to you? | Q9 - Male/Female? | Q10 - Current Age | Q11 - Which Country do you live in? | Q12 - Highest Level of Education | Q13 - Ethnicity | |
2 | 62a33b3db4da29969c62df3d | anonymous | 6/10/2022 | 8:38 | 0:00:44 | Data Analyst | Yes | 106k-125k | Healthcare | Python | 9 | 9 | 7 | 5 | 5 | 7 | Very Difficult | Remote Work | Male | 26 | United States | White or Caucasian | ||||||
3 | 62a33ba1bae91e4b8b82e35c | anonymous | 6/10/2022 | 8:40 | 0:01:30 | Data Analyst | No | 41k-65k | Finance | R | 1 | 2 | 5 | 2 | 1 | 3 | Very Difficult | Remote Work | Male | 36 | Canada | Asian or Asian American | ||||||
4 | 62a33c2cbc6861bf3176bec1 | anonymous | 6/10/2022 | 8:42 | 0:02:18 | Data Engineer | No | 0-40k | Other (Please Specify):Clean Energy | Python | 0 | 8 | 7 | 5 | 7 | 7 | Easy | Good Work/Life Balance | Male | 23 | Other (Please Specify):Nigeria | Black or African American | ||||||
5 | 62a33c8624a26260273822f9 | anonymous | 6/10/2022 | 8:43 | 0:02:10 | Other (Please Specify):Analytics Consultant | Yes | 150k-225k | Finance | R | 10 | 6 | 7 | 10 | 7 | 10 | Very Easy | Remote Work | Female | 35 | Canada | White or Caucasian | ||||||
6 | 62a33c91f3072dd892621e03 | anonymous | 6/10/2022 | 8:44 | 0:01:51 | Data Analyst | Yes | 41k-65k | Healthcare | R | 1 | 4 | 4 | 4 | 0 | 1 | Difficult | Better Salary | Male | 44 | United States | Black or African American | ||||||
7 | 62a33cb6cf25554317300177 | anonymous | 6/10/2022 | 8:44 | 0:02:34 | Data Analyst | Yes | 0-40k | Other (Please Specify):Coworking space | Python | 2 | 3 | 3 | 3 | 3 | 2 | Difficult | Good Work/Life Balance | Male | 33 | Other (Please Specify):Republic democratic of Congo | Black or African American | ||||||
8 | 62a33cb72e54c9003e531c65 | anonymous | 6/10/2022 | 8:44 | 0:01:15 | Data Scientist | Yes | 0-40k | Finance | Python | 0 | 6 | 6 | 6 | 6 | 5 | Difficult | Better Salary | Male | 24 | Other (Please Specify) | Black or African American | ||||||
9 | 62a33cd30f8c8599d5af0f8f | anonymous | 6/10/2022 | 8:45 | 0:01:25 | Data Engineer | Yes | 125k-150k | Other (Please Specify):Retail | Other:SQL | 10 | 5 | 5 | 5 | 5 | 9 | Neither easy nor difficult | Remote Work | Male | 35 | United States | Asian or Asian American | ||||||
10 | 62a33cd3cf255543173001d9 | anonymous | 6/10/2022 | 8:45 | 0:02:10 | Data Analyst | Yes | 86k-105k | Healthcare | R | 4 | 4 | 4 | 4 | 5 | 5 | Neither easy nor difficult | Better Salary | Male | 35 | United States | Asian or Asian American | ||||||
11 | 62a33cd8bc6861bf3176c05f | anonymous | 6/10/2022 | 8:45 | 0:01:27 | Data Analyst | Yes | 41k-65k | Telecommunication | Python | 2 | 0 | 3 | 3 | 0 | 4 | Very Difficult | Better Salary | Male | 28 | United States | Hispanic or Latino | ||||||
12 | 62a33ce918134ddc75ce8c30 | anonymous | 6/10/2022 | 8:45 | 0:01:29 | Data Analyst | Yes | 66k-85k | Other (Please Specify):Logistics | Python | 10 | 10 | 8 | 8 | 8 | 10 | Neither easy nor difficult | Remote Work | Male | 37 | Canada | White or Caucasian | ||||||
13 | 62a33cf30a77c1a77f65baa2 | anonymous | 6/10/2022 | 8:45 | 0:02:31 | Data Analyst | Yes | 0-40k | Other (Please Specify):Igaming | Python | 3 | 8 | 10 | 10 | 7 | 8 | Neither easy nor difficult | Better Salary | Male | 32 | Other (Please Specify):Serbia | White or Caucasian | ||||||
14 | 62a33d15f408bae018ed370d | anonymous | 6/10/2022 | 8:46 | 0:03:20 | Data Analyst | Yes | 0-40k | Tech | R | 1 | 10 | 9 | 9 | 5 | 10 | Neither easy nor difficult | Better Salary | Male | 34 | Other (Please Specify):Argentina | Other (Please Specify):Latino with Italian roots | ||||||
15 | 62a33d1ebae91e4b8b82e707 | anonymous | 6/10/2022 | 8:46 | 0:00:55 | Data Scientist | Yes | 0-40k | Education | Python | 3 | 10 | 10 | 6 | 7 | 8 | Easy | Good Work/Life Balance | Male | 30 | United Kingdom | White or Caucasian | ||||||
16 | 62a33d4624a26260273824c4 | anonymous | 6/10/2022 | 8:47 | 0:01:24 | Data Analyst | No | 41k-65k | Construction | R | 4 | 5 | 5 | 5 | 4 | 5 | Neither easy nor difficult | Good Culture | Male | 31 | United States | White or Caucasian | ||||||
17 | 62a33d5c0f8c8599d5af107c | anonymous | 6/10/2022 | 8:47 | 0:00:47 | Data Analyst | Yes | 41k-65k | Finance | Python | 4 | 10 | 7 | 7 | 7 | 5 | Difficult | Good Culture | Male | 29 | United States | White or Caucasian | ||||||
18 | 62a33d850f8c8599d5af10cb | anonymous | 6/10/2022 | 8:48 | 0:01:06 | Data Analyst | Yes | 0-40k | Tech | Python | 1 | 2 | 4 | 2 | 2 | 2 | Neither easy nor difficult | Better Salary | Male | 22 | Other (Please Specify):Niger | Black or African American | ||||||
19 | 62a33d9bf8f7561645852496 | anonymous | 6/10/2022 | 8:48 | 0:01:04 | Student/Looking/None | Yes | 0-40k | Other (Please Specify):Retail | Python | 1 | 3 | 2 | 2 | 4 | 1 | Difficult | Better Salary | Male | 23 | United States | Black or African American | ||||||
20 | 62a33dbdd8c00e9f5419cd65 | anonymous | 6/10/2022 | 8:49 | 0:01:05 | Student/Looking/None | No | 41k-65k | Tech | R | 7 | 8 | 8 | 6 | 8 | 3 | Very Difficult | Better Salary | Female | 26 | Canada | Asian or Asian American | ||||||
21 | 62a33de124a26260273826b2 | anonymous | 6/10/2022 | 8:49 | 0:01:21 | Data Analyst | No | 0-40k | Other (Please Specify):Aviation | Python | 1 | 1 | 1 | 1 | 2 | 0 | Very Difficult | Better Salary | Male | 28 | Other (Please Specify):Nigeria | Black or African American | ||||||
22 | 62a33dedd8c00e9f5419ce2b | anonymous | 6/10/2022 | 8:49 | 0:01:23 | Data Analyst | Yes | 41k-65k | Finance | Python | 5 | 5 | 5 | 5 | 5 | 5 | Easy | Remote Work | Male | 29 | Other (Please Specify):Kenya | Black or African American | ||||||
23 | 62a33dfbd8c00e9f5419ceda | anonymous | 6/10/2022 | 8:50 | 0:01:35 | Data Analyst | Yes | 106k-125k | Tech | Other:Mostly use sql but that’s not programming language.. | 10 | 5 | 10 | 6 | 10 | 10 | Neither easy nor difficult | Remote Work | Female | 31 | United States | White or Caucasian | ||||||
24 | 62a33e38f3072dd8926221d3 | anonymous | 6/10/2022 | 8:51 | 0:01:25 | Data Analyst | Yes | 0-40k | Healthcare | Python | 5 | 6 | 8 | 8 | 7 | 1 | Neither easy nor difficult | Remote Work | Male | 28 | Other (Please Specify):Azerbaijan | White or Caucasian | ||||||
25 | 62a33e54d8c00e9f5419cfe9 | anonymous | 6/10/2022 | 8:51 | 0:01:47 | Data Analyst | No | 0-40k | Finance | Python | 4 | 4 | 4 | 4 | 4 | 4 | Neither easy nor difficult | Better Salary | Male | 32 | Other (Please Specify):Argentina | Hispanic or Latino | ||||||
26 | 62a33e62575fa3a5ae88aabf | anonymous | 6/10/2022 | 8:51 | 0:02:14 | Data Analyst | No | 0-40k | Tech | Python | 7 | 8 | 8 | 8 | 3 | 8 | Easy | Better Salary | Male | 24 | Other (Please Specify):Sudan | Black or African American | ||||||
27 | 62a33e63cec54911e9ca4f99 | anonymous | 6/10/2022 | 8:51 | 0:02:21 | Data Analyst | No | 0-40k | Tech | Python | 4 | 6 | 6 | 6 | 7 | 7 | Easy | Good Work/Life Balance | Male | 31 | India | Asian or Asian American | ||||||
28 | 62a33e72bae91e4b8b82ea1a | anonymous | 6/10/2022 | 8:52 | 0:02:07 | Data Analyst | No | 66k-85k | Other (Please Specify):Insurance | Other:SQL | 7 | 10 | 5 | 5 | 5 | 2 | Difficult | Other (Please Specify):Responsibilities | Male | 23 | United States | White or Caucasian | ||||||
29 | 62a33e890f8c8599d5af13b9 | anonymous | 6/10/2022 | 8:52 | 0:01:20 | Data Analyst | Yes | 106k-125k | Other (Please Specify):Energy | Python | 1 | 6 | 9 | 1 | 0 | 2 | Difficult | Remote Work | Female | 33 | United States | Asian or Asian American | ||||||
30 | 62a33e8bf8d5efcc22f7c79a | anonymous | 6/10/2022 | 8:52 | 0:01:34 | Data Analyst | No | 86k-105k | Healthcare | Other:Qlik sense script | 6 | 7 | 7 | 7 | 7 | 4 | Very Easy | Better Salary | Male | 43 | United States | White or Caucasian | ||||||
31 | 62a33e90cec54911e9ca5031 | anonymous | 6/10/2022 | 8:52 | 0:01:34 | Student/Looking/None | Yes | 0-40k | Other (Please Specify):Oil and gas | R | 0 | 0 | 5 | 0 | 0 | 0 | Very Difficult | Remote Work | Female | 23 | Other (Please Specify):Nigeria | Other (Please Specify):African | ||||||
32 | 62a33e9df8f756164585277b | anonymous | 6/10/2022 | 8:52 | 0:01:47 | Student/Looking/None | Yes | 41k-65k | Finance | Python | 10 | 7 | 10 | 10 | 5 | 3 | Very Difficult | Good Work/Life Balance | Male | 31 | United States | Black or African American | ||||||
33 | 62a33eb6bc6861bf3176c5a3 | anonymous | 6/10/2022 | 8:53 | 0:01:38 | Data Analyst | Yes | 66k-85k | Finance | Python | 5 | 6 | 7 | 5 | 4 | 4 | Neither easy nor difficult | Other (Please Specify):Development | Male | 31 | United Kingdom | White or Caucasian | ||||||
34 | 62a33ee0bae91e4b8b82eaec | anonymous | 6/10/2022 | 8:53 | 0:03:30 | Data Analyst | Yes | 0-40k | Other (Please Specify) | Python | 8 | 7 | 8 | 7 | 7 | 7 | Difficult | Good Work/Life Balance | Male | 25 | India | Asian or Asian American | ||||||
35 | 62a33ee80f8c8599d5af14b7 | anonymous | 6/10/2022 | 8:54 | 0:01:37 | Data Engineer | No | 125k-150k | Tech | Other:SQL | 8 | 10 | 10 | 9 | 9 | 9 | Easy | Better Salary | Male | 43 | United States | White or Caucasian | ||||||
36 | 62a33efe0a77c1a77f65bf1e | anonymous | 6/10/2022 | 8:54 | 0:02:08 | Data Analyst | No | 41k-65k | Finance | Python | 2 | 3 | 5 | 5 | 5 | 5 | Difficult | Better Salary | Female | 26 | Canada | Other (Please Specify):South Asian | ||||||
37 | 62a33f0ef408bae018ed3aeb | anonymous | 6/10/2022 | 8:54 | 0:03:54 | Other (Please Specify):FP&A Analyst | No | 41k-65k | Other (Please Specify):Automotive | Python | 5 | 10 | 8 | 8 | 8 | 7 | Neither easy nor difficult | Remote Work | Male | 32 | Other (Please Specify):Japan | White or Caucasian | ||||||
38 | 62a33f17f8f7561645852867 | anonymous | 6/10/2022 | 8:54 | 0:02:28 | Other (Please Specify):BI Developer | No | 0-40k | Tech | Python | 2 | 9 | 7 | 7 | 5 | 6 | Difficult | Better Salary | Male | 31 | Other (Please Specify):Greece | White or Caucasian | ||||||
39 | 62a33f52bc6861bf3176c72c | anonymous | 6/10/2022 | 8:55 | 0:01:33 | Data Analyst | Yes | 86k-105k | Healthcare | Other:sql | 3 | 5 | 6 | 4 | 4 | 5 | Neither easy nor difficult | Better Salary | Male | 29 | United States | White or Caucasian | ||||||
40 | 62a33f56cf255543173005e9 | anonymous | 6/10/2022 | 8:55 | 0:00:56 | Data Analyst | Yes | 0-40k | Other (Please Specify):Automotive | Python | 3 | 1 | 3 | 2 | 3 | 1 | Neither easy nor difficult | Good Culture | Male | 24 | Other (Please Specify):Perú | Hispanic or Latino | ||||||
41 | 62a33f5a5d257a28a30d7bb5 | anonymous | 6/10/2022 | 8:55 | 0:02:38 | Student/Looking/None | Yes | 41k-65k | Construction | Python | 2 | 0 | 2 | 2 | 0 | 0 | Very Difficult | Remote Work | Male | 34 | United States | White or Caucasian | ||||||
42 | 62a33fa5cec54911e9ca51f1 | anonymous | 6/10/2022 | 8:57 | 0:01:52 | Data Analyst | Yes | 41k-65k | Other (Please Specify):Utili | Other:Power bi | 5 | 6 | 6 | 5 | 4 | 6 | Very Difficult | Better Salary | Male | 42 | Other (Please Specify):Australia | Other (Please Specify):Indian | ||||||
43 | 62a33fcb575fa3a5ae88ad59 | anonymous | 6/10/2022 | 8:57 | 0:02:03 | Student/Looking/None | Yes | 0-40k | Other (Please Specify):Not working yet | JavaScript | 0 | 0 | 0 | 0 | 0 | 0 | Difficult | Remote Work | Female | 40 | United States | Asian or Asian American | ||||||
44 | 62a33fcf18134ddc75ce91c3 | anonymous | 6/10/2022 | 8:57 | 0:02:32 | Student/Looking/None | No | 41k-65k | Telecommunication | Python | 3 | 1 | 3 | 4 | 0 | 3 | Easy | Good Work/Life Balance | Male | 43 | Other (Please Specify):Spain | White or Caucasian | ||||||
45 | 62a34006d8c00e9f5419d341 | anonymous | 6/10/2022 | 8:58 | 0:02:39 | Student/Looking/None | Yes | 0-40k | Construction | Python | 0 | 0 | 0 | 0 | 0 | 0 | Very Difficult | Better Salary | Male | 23 | Other (Please Specify):Kenya | Other (Please Specify):Kenyan African | ||||||
46 | 62a34020575fa3a5ae88ade0 | anonymous | 6/10/2022 | 8:59 | 0:01:11 | Student/Looking/None | Yes | 0-40k | Education | Python | 5 | 5 | 3 | 5 | 2 | 6 | Difficult | Better Salary | Male | 23 | Other (Please Specify):Japan | Asian or Asian American | ||||||
47 | 62a34038b4da29969c62eafe | anonymous | 6/10/2022 | 8:59 | 0:03:55 | Data Analyst | Yes | 86k-105k | Other (Please Specify):Manufa | Python | 8 | 6 | 2 | 3 | 6 | 7 | Neither easy nor difficult | Other (Please Specify):Strong organizational data strategy, high-performing team | Male | 28 | United States | White or Caucasian | ||||||
48 | 62a3406b575fa3a5ae88ae78 | anonymous | 6/10/2022 | 9:00 | 0:01:25 | Data Analyst | No | 66k-85k | Finance | Other:SQL | 5 | 7 | 1 | 1 | 0 | 8 | Neither easy nor difficult | Better Salary | Male | 32 | United States | White or Caucasian | ||||||
49 | 62a340cab4da29969c62ec01 | anonymous | 6/10/2022 | 9:02 | 0:02:47 | Data Analyst | Yes | 66k-85k | Other (Please Specify):Manufacturing (Chemicals) | R | 7 | 8 | 10 | 8 | 9 | 9 | Difficult | Remote Work | Female | 41 | United States | White or Caucasian | ||||||
50 | 62a340d62e54c9003e5324b4 | anonymous | 6/10/2022 | 9:02 | 0:00:56 | Data Analyst | Yes | 41k-65k | Finance | Python | 5 | 6 | 6 | 6 | 6 | 6 | Neither easy nor difficult | Remote Work | Male | 33 | United Kingdom | High School | White or Caucasian | |||||
51 | 62a340e10a77c1a77f65c2e7 | anonymous | 6/10/2022 | 9:02 | 0:01:57 | Other (Please Specify):Manager, Business Intelligence Develop | Yes | 150k-225k | Tech | Python | 10 | 8 | 9 | 8 | 8 | 10 | Easy | Good Work/Life Balance | Male | 38 | United States | Hispanic or Latino | ||||||
52 | 62a340f5bc6861bf3176caa4 | anonymous | 6/10/2022 | 9:02 | 0:02:32 | Data Analyst | No | 0-40k | Tech | Other:sql | 8 | 8 | 8 | 8 | 5 | 10 | Easy | Better Salary | Female | 22 | India | Other (Please Specify):Indian | ||||||
53 | 62a34117cec54911e9ca54e7 | anonymous | 6/10/2022 | 9:03 | 0:01:59 | Student/Looking/None | Yes | 0-40k | Other (Please Specify):Currently studying . Previously worked in Power Generation | R | 1 | 3 | 6 | 6 | 6 | 9 | Difficult | Remote Work | Male | 36 | Other (Please Specify):Barbados | Bachelors | Black or African American | |||||
54 | 62a3413a5d257a28a30d8074 | anonymous | 6/10/2022 | 9:03 | 0:01:18 | Data Engineer | No | 66k-85k | Finance | Python | 2 | 1 | 1 | 1 | 3 | 7 | Easy | Remote Work | Female | 28 | United States | Masters | Asian or Asian American | |||||
55 | 62a341a1f3072dd8926229a5 | anonymous | 6/10/2022 | 9:05 | 0:08:11 | Student/Looking/None | Yes | 0-40k | Other (Please Specify):Not working at the moment, but previously I have been into Education industry | Other:If SQL is categorised as a programming language then I will definitely say SQL. Since I am still learning, I can't give a definite answer in relation to the abover mentioned but for the sake of choosing I will say R then followed by python | 7 | Very Easy | Other (Please Specify):I would say a combination of good work/life balance with a better pay and the exposure to a workplace that supposed growth | Male | 30 | Other (Please Specify):South Africa | Other (Please Specify):Black African, Zimbabwean Citizen | |||||||||||
56 | 62a341b0f8f7561645852d1d | anonymous | 6/10/2022 | 9:05 | 0:01:44 | Data Analyst | Yes | 66k-85k | Tech | Python | 6 | 6 | 6 | 6 | 5 | 6 | Difficult | Other (Please Specify):Currently very happy with where I am. | Female | 24 | United States | Bachelors | Hispanic or Latino | |||||
57 | 62a341e8f8d5efcc22f7d002 | anonymous | 6/10/2022 | 9:06 | 0:01:58 | Other (Please Specify):Business Analyst | No | 41k-65k | Other (Please Specify):Third Party Logistics | C/C++ | 3 | 6 | 7 | 7 | 0 | 3 | Very Difficult | Better Salary | Male | 29 | United States | Bachelors | White or Caucasian | |||||
58 | 62a34210cf25554317300c02 | anonymous | 6/10/2022 | 9:07 | 0:02:15 | Data Analyst | No | 0-40k | Tech | Python | 4 | 9 | 10 | 9 | 9 | 10 | Easy | Better Salary | Male | 29 | Other (Please Specify):Colombia | Associates | Hispanic or Latino | |||||
59 | 62a3424eb4da29969c62eedd | anonymous | 6/10/2022 | 9:08 | 0:02:04 | Other (Please Specify):Business Analyst | Yes | 41k-65k | Other (Please Specify):Automotive | Python | 6 | 8 | 8 | 7 | 9 | 7 | Neither easy nor difficult | Good Work/Life Balance | Male | 38 | Other (Please Specify):Germany | Masters | White or Caucasian | |||||
60 | 62a34256bae91e4b8b82f16d | anonymous | 6/10/2022 | 9:08 | 0:01:46 | Data Analyst | Yes | 0-40k | Finance | Other:I don’t know any | 3 | 5 | 4 | 3 | 3 | 3 | Difficult | Good Work/Life Balance | Male | 31 | Other (Please Specify):Bulgaria | Masters | White or Caucasian | |||||
61 | 62a3426cf408bae018ed409b | anonymous | 6/10/2022 | 9:09 | 0:01:33 | Student/Looking/None | No | 0-40k | Tech | Python | 1 | 4 | 5 | 5 | 1 | 1 | Difficult | Better Salary | Male | 25 | United States | Masters | White or Caucasian | |||||
62 | 62a34272f8d5efcc22f7d15f | anonymous | 6/10/2022 | 9:09 | 0:01:09 | Data Analyst | No | 66k-85k | Telecommunication | Python | 4 | 6 | 4 | 5 | 4 | 4 | Neither easy nor difficult | Better Salary | Male | 24 | United States | Masters | White or Caucasian | |||||
63 | 62a34340bc6861bf3176d05b | anonymous | 6/10/2022 | 9:12 | 0:04:03 | Other (Please Specify):Business Intelligence Consultant | Yes | 41k-65k | Tech | Python | 6 | 7 | 4 | 3 | 9 | 8 | Difficult | Better Salary | Male | 28 | Other (Please Specify):Turkey | Bachelors | White or Caucasian | |||||
64 | 62a34383b4da29969c62f1be | anonymous | 6/10/2022 | 9:13 | 0:01:03 | Student/Looking/None | No | 0-40k | Tech | Python | 7 | 5 | 8 | 0 | 0 | 0 | Neither easy nor difficult | Good Culture | Female | 23 | India | Bachelors | Asian or Asian American | |||||
65 | 62a34389cec54911e9ca5a22 | anonymous | 6/10/2022 | 9:13 | 0:01:01 | Data Engineer | No | 0-40k | Tech | R | 2 | 3 | 2 | 5 | 5 | 7 | Neither easy nor difficult | Remote Work | Male | 21 | Other (Please Specify):Spain | Masters | Hispanic or Latino | |||||
66 | 62a343a22e54c9003e532a2a | anonymous | 6/10/2022 | 9:14 | 0:02:43 | Data Analyst | No | 0-40k | Other (Please Specify):Energy | Python | 4 | 4 | 4 | 4 | 5 | 6 | Neither easy nor difficult | Remote Work | Male | 29 | Other (Please Specify):France | Bachelors | Other (Please Specify):Human | |||||
67 | 62a343d9f3072dd892622fe4 | anonymous | 6/10/2022 | 9:15 | 0:03:15 | Data Analyst | Yes | 41k-65k | Tech | Python | 5 | 6 | 7 | 7 | 7 | 6 | Difficult | Better Salary | Male | 25 | United States | Bachelors | Asian or Asian American | |||||
68 | 62a34400d8c00e9f5419dc2b | anonymous | 6/10/2022 | 9:15 | 0:01:24 | Data Analyst | No | 41k-65k | Tech | Python | 6 | 6 | 6 | 6 | 3 | 5 | Difficult | Good Culture | Male | 27 | Other (Please Specify):Germany | Masters | Black or African American | |||||
69 | 62a34425f8d5efcc22f7d525 | anonymous | 6/10/2022 | 9:16 | 0:01:28 | Data Analyst | Yes | 41k-65k | Tech | Python | 3 | 9 | 10 | 8 | 9 | 9 | Easy | Better Salary | Male | 23 | India | Bachelors | Asian or Asian American | |||||
70 | 62a34449575fa3a5ae88b637 | anonymous | 6/10/2022 | 9:16 | 0:02:36 | Other (Please Specify):Sr. Supply Chain Analyst | No | 86k-105k | Other (Please Specify):Food & Beverage | R | 4 | 3 | 3 | 5 | 5 | 5 | Difficult | Better Salary | Male | 32 | United States | Masters | Asian or Asian American | |||||
71 | 62a3445dcf255543173011e1 | anonymous | 6/10/2022 | 9:17 | 0:02:41 | Student/Looking/None | Yes | 106k-125k | Healthcare | Python | 5 | 5 | 7 | 5 | 7 | 7 | Neither easy nor difficult | Remote Work | Male | 22 | India | Bachelors | Asian or Asian American | |||||
72 | 62a3447a575fa3a5ae88b6c0 | anonymous | 6/10/2022 | 9:17 | 0:04:14 | Data Analyst | No | 0-40k | Tech | Python | 2 | 9 | 9 | 8 | 6 | 2 | Easy | Better Salary | Male | 25 | Other (Please Specify):Thailand | Bachelors | Asian or Asian American | |||||
73 | 62a3449f7dc029e2d66bf5d1 | anonymous | 6/10/2022 | 9:18 | 0:01:15 | Data Analyst | Yes | 0-40k | Telecommunication | Python | 2 | 8 | 6 | 6 | 5 | 5 | Neither easy nor difficult | Remote Work | Female | 36 | Other (Please Specify):Germany | Masters | White or Caucasian | |||||
74 | 62a344c5f408bae018ed4806 | anonymous | 6/10/2022 | 9:19 | 0:02:21 | Data Analyst | Yes | 106k-125k | Tech | Other:SQL | 10 | 6 | 9 | 5 | 8 | 7 | Easy | Good Work/Life Balance | Female | 27 | United States | Bachelors | White or Caucasian | |||||
75 | 62a344c6f8d5efcc22f7d6e1 | anonymous | 6/10/2022 | 9:19 | 0:02:17 | Other (Please Specify):Business analyst | Yes | 0-40k | Tech | Python | 5 | 5 | 5 | 5 | 5 | 1 | Neither easy nor difficult | Other (Please Specify):My passion is to become a Data analyst | Male | 23 | India | Bachelors | Asian or Asian American | |||||
76 | 62a344e1f3072dd892623328 | anonymous | 6/10/2022 | 9:19 | 0:01:32 | Student/Looking/None | Yes | 0-40k | Tech | Other:Sql | 2 | 3 | 3 | 3 | 3 | 6 | Very Difficult | Better Salary | Male | 26 | Other (Please Specify):Netherlands | Bachelors | Black or African American | |||||
77 | 62a3450424a262602738357f | anonymous | 6/10/2022 | 9:20 | 0:01:19 | Other (Please Specify):Director of Data Analytics | No | 86k-105k | Healthcare | Python | 9 | 10 | 10 | 10 | 10 | 10 | Very Easy | Good Work/Life Balance | Female | 33 | United States | PhD | Hispanic or Latino | |||||
78 | 62a3452818134ddc75ce9e1b | anonymous | 6/10/2022 | 9:20 | 0:01:33 | Data Analyst | Yes | 106k-125k | Other (Please Specify):Automotive | Python | 3 | 5 | 3 | 3 | 5 | 5 | Easy | Better Salary | Male | 27 | Other (Please Specify):Turkey | Masters | White or Caucasian | |||||
79 | 62a345490a77c1a77f65cc5b | anonymous | 6/10/2022 | 9:21 | 0:01:38 | Data Analyst | Yes | 41k-65k | Education | R | 3 | 6 | 5 | 4 | 3 | 4 | Neither easy nor difficult | Better Salary | Male | 42 | United States | Associates | White or Caucasian | |||||
80 | 62a3455bbc6861bf3176d57a | anonymous | 6/10/2022 | 9:21 | 0:02:36 | Data Analyst | Yes | 0-40k | Tech | Python | 6 | 7 | 8 | 7 | 7 | 8 | Easy | Good Work/Life Balance | Male | 29 | Other (Please Specify):Spain | Masters | White or Caucasian | |||||
81 | 62a3457bf8d5efcc22f7da17 | anonymous | 6/10/2022 | 9:22 | 0:01:08 | Data Analyst | No | 125k-150k | Tech | Python | 4 | 7 | 6 | 4 | 2 | 4 | Easy | Better Salary | Female | 27 | United States | Masters | Asian or Asian American | |||||
82 | 62a345b2bae91e4b8b82fad6 | anonymous | 6/10/2022 | 9:22 | 0:01:41 | Student/Looking/None | No | 41k-65k | Healthcare | Python | 0 | 10 | 10 | 10 | 4 | 2 | Neither easy nor difficult | Remote Work | Female | 39 | United States | Bachelors | Hispanic or Latino | |||||
83 | 62a345c47dc029e2d66bf80a | anonymous | 6/10/2022 | 9:23 | 0:01:36 | Data Analyst | Yes | 41k-65k | Telecommunication | Python | 6 | 6 | 7 | 5 | 6 | 7 | Difficult | Good Culture | Male | 31 | Other (Please Specify):Denmark | Masters | White or Caucasian | |||||
84 | 62a345e25d257a28a30d8b43 | anonymous | 6/10/2022 | 9:23 | 0:03:09 | Data Analyst | Yes | 66k-85k | Other (Please Specify):Marketing | Python | 7 | 7 | 5 | 9 | 7 | 8 | Easy | Good Work/Life Balance | Male | 29 | Other (Please Specify):Brazil | Bachelors | Hispanic or Latino | |||||
85 | 62a34646f8d5efcc22f7dc5c | anonymous | 6/10/2022 | 9:25 | 0:01:22 | Data Analyst | Yes | 66k-85k | Education | R | 7 | 7 | 7 | 7 | 4 | 7 | Easy | Remote Work | Male | 31 | United States | Masters | White or Caucasian | |||||
86 | 62a34687f408bae018ed4c52 | anonymous | 6/10/2022 | 9:26 | 0:01:30 | Data Analyst | Yes | 0-40k | Finance | Python | 10 | 9 | 9 | 10 | 9 | 10 | Neither easy nor difficult | Good Culture | Male | 30 | Other (Please Specify):Mexico | Masters | Hispanic or Latino | |||||
87 | 62a346a37dc029e2d66bfa6d | anonymous | 6/10/2022 | 9:26 | 0:03:05 | Data Engineer | Yes | 0-40k | Tech | Python | 7 | 8 | 6 | 5 | 5 | 9 | Difficult | Better Salary | Male | 33 | Other (Please Specify):Mexico | Masters | Hispanic or Latino | |||||
88 | 62a346a95d257a28a30d8cb9 | anonymous | 6/10/2022 | 9:27 | 0:00:58 | Data Analyst | No | 66k-85k | Other (Please Specify):Retail | Python | 7 | 8 | 9 | 7 | 7 | 7 | Neither easy nor difficult | Better Salary | Male | 25 | United States | Bachelors | White or Caucasian | |||||
89 | 62a346b4bc6861bf3176d7ce | anonymous | 6/10/2022 | 9:27 | 0:01:09 | Student/Looking/None | No | 0-40k | Tech | R | 0 | 0 | 0 | 0 | 0 | 0 | Neither easy nor difficult | Good Work/Life Balance | Male | 23 | India | Bachelors | Other (Please Specify):Indian | |||||
90 | 62a346cef8f756164585385b | anonymous | 6/10/2022 | 9:27 | 0:01:51 | Data Analyst | Yes | 41k-65k | Other (Please Specify):Advertising | Other:Dont require | 4 | 4 | 3 | 3 | 5 | 6 | Very Difficult | Better Salary | Male | 33 | United States | Bachelors | Asian or Asian American | |||||
91 | 62a346d724a2626027383abd | anonymous | 6/10/2022 | 9:27 | 0:02:29 | Other (Please Specify):Business Analyst | Yes | 66k-85k | Other (Please Specify):Logistics | Python | 7 | 9 | 9 | 8 | 8 | 9 | Neither easy nor difficult | Good Work/Life Balance | Male | 35 | Other (Please Specify):Chile | Bachelors | Hispanic or Latino | |||||
92 | 62a346d90a77c1a77f65d08d | anonymous | 6/10/2022 | 9:27 | 0:02:39 | Data Analyst | No | 41k-65k | Other (Please Specify):Staffing and Recruting | Python | 6 | 8 | 5 | 6 | 9 | Neither easy nor difficult | Remote Work | Female | 42 | Other (Please Specify):Greece | Masters | White or Caucasian | ||||||
93 | 62a34726f8d5efcc22f7dec7 | anonymous | 6/10/2022 | 9:29 | 0:01:14 | Data Analyst | No | 66k-85k | Tech | Python | 3 | 4 | 2 | 1 | 0 | 4 | Neither easy nor difficult | Better Salary | Male | 25 | United States | Bachelors | White or Caucasian | |||||
94 | 62a3476c5d257a28a30d8e6d | anonymous | 6/10/2022 | 9:30 | 0:03:00 | Data Analyst | No | 86k-105k | Other (Please Specify):Automotive | Python | 5 | 4 | 5 | 4 | 3 | 6 | Neither easy nor difficult | Other (Please Specify):Different job title, either product owner or consulting | Male | 23 | United States | Bachelors | White or Caucasian | |||||
95 | 62a347b4f8f7561645853a98 | anonymous | 6/10/2022 | 9:31 | 0:02:02 | Other (Please Specify):Learning Management Specialist | No | 41k-65k | Healthcare | JavaScript | 2 | 4 | 6 | 5 | 3 | 4 | Easy | Better Salary | Female | 51 | United States | Bachelors | Black or African American | |||||
96 | 62a347f6b4da29969c62fb79 | anonymous | 6/10/2022 | 9:32 | 0:01:45 | Data Analyst | No | 0-40k | Telecommunication | Other | 1 | 4 | 4 | 3 | 2 | 6 | Very Difficult | Better Salary | Male | 30 | United Kingdom | Bachelors | Black or African American | |||||
97 | 62a3483018134ddc75cea4e6 | anonymous | 6/10/2022 | 9:33 | 0:01:41 | Data Analyst | Yes | 41k-65k | Finance | Python | 8 | 9 | 9 | 9 | 9 | 8 | Very Difficult | Better Salary | Male | 23 | India | Bachelors | Asian or Asian American | |||||
98 | 62a348650f8c8599d5af2b77 | anonymous | 6/10/2022 | 9:34 | 0:01:06 | Other (Please Specify):Research Analyst | Yes | 41k-65k | Other (Please Specify):Advertising | R | 3 | 5 | 5 | 6 | 3 | 4 | Neither easy nor difficult | Better Salary | Male | 24 | Canada | Bachelors | Asian or Asian American | |||||
99 | 62a3489318134ddc75cea659 | anonymous | 6/10/2022 | 9:35 | 0:01:06 | Student/Looking/None | Yes | 41k-65k | Tech | Python | 6 | 6 | 6 | 6 | 6 | 6 | Easy | Good Culture | Male | 25 | Other (Please Specify):Australia | Masters | Asian or Asian American | |||||
100 | 62a348bf2e54c9003e533634 | anonymous | 6/10/2022 | 9:35 | 0:02:22 | Data Analyst | Yes | 41k-65k | Finance | Python | 4 | 4 | 6 | 4 | 5 | 6 | Difficult | Better Salary | Female | 55 | United States | Masters | Other (Please Specify):Race isn't a thing |