KDR Talent Solutions USA

How AI Startups and Solutions Engineers Can Drive Sustainability Amid COP29 and Political Shifts

Don't let people jump to conclusions by not doing this! Make sure you are voicing any reasonable adjustments needed up front. All clients completely understand and it is absolutely ok to ask if needed. Without prior knowledge of hidden conditions (for example), clients can jump to conclusions if the interview puts you at a disadvantage and you don't perform as well as you would have liked. With reasonable adjustments in place, there is no room for assumptions and jumping to the wrong conclusions as to why someone performs or behaves in a certain way.

All the gear, no idea.... This one's all about personality and relationship/rapport building. Regardless of your current situation, never speak badly about your current employer. If you are looking to leave a toxic workplace, a good work around is to mention that you are looking for an environment that is more aligned with your values (and then go on to list them). This way you are not directly criticising your boss or team. When you do complain about an employer it can sow seeds of doubt in potential employers minds (how will you talk about them for example if they were to hire you?) Candidates can also sometimes forget to let their personalities shine through. Technical ability is great (and called for) but don't forget you will be working side by side other people, and they want to know they can connect with you and be able to easily progress projects. Personality is important and an over reliance on technical ability can sometimes be a mistake.

Using Candidate Motivators in your Data Hiring Strategies

Don't make THIS major error! Another mistake people make during the interview is not thinking of it as a two-way process. Most people spend the majority of their time at work, so it is important to know whether it is the place where you really want to spend all that time and energy. Questions like, what are the opportunities for development? what is the team structure? how mature is the data strategy? what does the tech stack look like? what is the culture? Help you assess the kind of environment you would be walking into. Based on what is important to you, think of some questions and make sure you are asking them as part of the conversation rather than tacking them onto the end. Sometimes the client will stipulate that questions can be asked at the end, but most won't and will enjoy the 2-way flow of natural conversation.

2024 in Review: Trends in the Data, Analytics, and Technology Industries

"... the genuine care Chris has given me felt like he is a big brother rather than a recruiter, concerned about the whole process and my feelings. Thank you Chris for being there". Now that's what you want from your recruitment partner! Genuine candidate and client care! Thanks for the continued feedback! #happycustomers #datarecruitment

What is the "right" kind though? Most people prep for the interview, but most people don't do the right kind of prep. Our top tip number 2 is to make sure you are looking at the following: Understand your CV - by that we mean, understand what you have contributed to the businesses you have worked within. What was the business impact of the projects you were involved with. Layer this with any other achievements you reached, so you are highlighting how you helped move the business forward or how you developed in the role. Hiring Managers are looking for clear reasons to add you to a team – what value will you bring? Employers effectively want 2 things: they want to like you and they want to know how you will improve their business. The problem some people run into is not linking their experience to an outcome, this is the easiest way to demonstrate to a potential employer the immediate value you will bring to the team. You may need to do some research around figures and how much you saved a business or brought into the business – if revenue related. If it's not revenue related, how did you improve processes or solve an existing business challenge? List them and get your figures clear in your head. Secondly understand the business you are interviewing for. Research the company, the industry, news items, press releases, ask questions about their strategy, tell the interviewer what you like about the business and its approach to xyz, if you are not sure about something, ask. Also don't forget to research the interviewer. Understanding a bit about who is interviewing you beforehand helps to build rapport.

STOP! Are you in the 80% of people making this fundamental error? To get in the best shape for any job searches you are doing in 2025, we spoke to the KDR team to get the best advice for candidates on how to avoid some of the common mistakes people make: Top Tip 1: Tailor your CV to each role. Steps to take would be as follows: Read the job advert, if you have it, within the opening section highlight and showcase all the tech or experience they are looking for. Ensure you are showing them immediately your relevance to the role. Boom! - you're already ahead of the 80% who don't do this.

To succeed in the data and tech job market: 1. Align your skills and experiences with the needs and values of potential employers (how: research the employer - values, goals can be discovered from the recruitment consultant you are working with, understand how your contributions affected business outcomes) 2. Stay ahead of industry trends: (how: webinars, podcasts, conferences, forums etc) 3. Continuously develop both your technical and soft skills (bootcamps, online courses via platforms like pluralsight are just a few examples) 4. Showcase a holistic view of your capabilities in your CV and interview (how: showcase the tech you've used, projects you've worked on coupled with the outcomes / improvements made via your contributions. 5. Don't neglect soft skills. If you know you are less impactful in certain areas - add them into your continual learning or self-development plans: influencing, communication, listening and collaboration are often cited as desirable.