Jones Grove IT Recruiting’s Post

Where to position your first Data hire?   This is an interesting topic I have been discussing with my network over the past week.   The common theme from these discussions has been clear: start with someone at Head of level and build out from there.   It's harder to go back and fix something that has been built incorrectly than it is to create robust infrastructure from scratch, so having an experienced head will put you in the best position to succeed.   I'd be interested in hearing from my network on this topic   - Have you seen companies benefit from bringing in a senior data leader first? - What challenges have you encountered with this approach? - If you disagree, where do you think companies should place their first data hire?

So my take on this meme... it's been circulating...it is really the result of poor employment on data analytics teams and forecasters with no real back ground in this field.... Many corporate offices hire within but that doesn't mean they are getting people with knowledge of data correlations or have people that are efficient in how data points are effective in the work environments -  This is where I explain... that sometimes experience in a particular field is not enough-  The biggest goof I have seen corporate office do is use store and department management to do analytics and forecasting- They had to shut down an entire district....for a whole day due to epic failure in data analytics teams. ( That really is staffed with non analytical people to save money 💰)-  Data is important to get right in most cases...the effects of poorly handled data is devastating to a business and labor- 

Hope you have a great weekend! It's been a busy first week back, but I'm excited for the upcoming weeks. If you're interested in data and technology opportunities or expanding your team, I welcome you to reach out. #TechTalentGermany #DataJobsDE #BIAnalystHiring #TechCareerGermany #DataAnalyticsRoles #GermanyTechHires #DataScienceJobsDE #TechOpportunitiesGER #BusinessIntelligenceJobs #HiringInGermany

Are you looking for a data job? I made a YouTube video with what I think is missing from the common advice given to people on getting a data job. I've also got a free course on this topic with a lot more detail (google Solomon Kahn breaking into data) Although it's targeted at junior folks, most of the advice is even more powerful and crucial for mid-level or senior data people. It's not an easy job market right now, so hopefully this can help you set yourself apart from the crowd. https://lnkd.in/egJ_JhrG

I have seen a lot of posts talking about how hard it is to land your first data job. Yes, landing your first data job can be hard. However, it doesn't get any easier. Landing your 2nd, 3rd, etc. data jobs can be just as hard, if not harder . . . #data #job #hiring

According to the analysis, data engineers are relatively more in demand than any other data roles. If you land a data engineer role, it is relatively easier to transition into the other data roles. Also, mid - Senior roles are more in demand than entry and associate data roles. Now you're turn, what position will you like? (comment answer) If you find this post useful, please like & repost so that others can see. I am Alphonse Brandon , I will post again.

This is such a cruel way to take advantage of people's desperation for clickbait. Some people are going through real struggles, particularly international students who are running out of time to find a job, and there are comfortable people sitting in their living rooms and thinking of ways to give us false hope. Most people who have a REAL role to share would post the role, say whether or not it's on their team, and a link to apply. In some cases, even offer referrals. This post has 500+ comments of people commenting "interested" in hopes that it will connect them to a life-changing opportunity, but I doubt someone with a full-time job, even on the weekends, is going to go through all those comments and profiles to "pick the right candidate." I usually keep my feelings about these things to myself, but seeing this knowing the frustration we're going through as international job seekers, upsets me deeply. To my fellow international students, I don't blame you at all but please don't be conned by these people. - You deserve a good job that comes with good benefits. - You deserve to work in a great company that will invest in you (legally too). - You deserve a company that doesn't take advantage of your desperation. - You deserve to feel safe and secure in your next role. and, - You deserve to be recognized for your qualifications and compensated accordingly. It's incredibly hard right now I know but I pray we find that job that will open doors we never thought possible for us🙏🏽 As for everyone else, please be empathetic with your responses and words of advice. Understand that for us, there are legal hoops we need to jump through that citizens and green card holders don't. And if you don't know enough, there are numerous resources out there. I'd rather you say "I don't know" than give me blind advice. We as human beings need to do better. LinkedIn, do better. God bless. #internationalstudent #jobseekers

After you establish the right data leadership (full-time or fractional), your first hire

If you don't have an internal data team, DO NOT hire an external data team for anything more than one-off reports. You will not be able to maintain any automated jobs due to entropy. Entropy is an understudied topic in data, but it's of utmost importance. Here's how it works. You have an important code field in your company; it's three digits followed by a dash followed by four digits (555-5555). A new manager joins, and decides that the code field is too similar to a phone number, and, going forward, the new format is four digits followed by a dash followed by three digits (5555-555). Lo-and-behold, all of your expensive, automated reports are producing incorrect numbers, most of your IT jobs suddenly break, and nobody knows how to fix it. So, you hire a new external data team, and the cycle continues. #data #dataconsulting #datagovernance

People who see their work not just as a duty but as a responsibility go beyond their own expectations. Last weekend, I saw a lady traffic warden pushing a broken-down car on a rainy night. It was causing a traffic jam, and she was giving her 100% to help the driver start the car. She wasn't obliged to do it, but she still tried to help both the driver and the other commuters. She went beyond her job description, and I was moved by her gesture. As a Data Analyst and Architect, I always try to keep this in mind. My duty towards my client might be limited to certain tasks I am hired for, but when I see their data architecture is not robust, or notice things outside my scope that need fixing, I make sure to talk to them about it and try to help. Customer service isn't tough; it's about being considerate and thinking how you would feel if someone made that extra effort to help you or prevent a major problem in your business. #dataanalyst #customerservice #data