Brookelyn Stickings (CertRP)’s Post

UPDATE: Criteria Corp is not hiring DA's, please read. LAST UPDATE: Due to the sheer volume of messages and emails (literally hundreds), I cannot keep up with this post's related requests anymore. I am truly sorry. I will not be responding to anything related to the below moving forward as of 06/12/24. If you or anyone know is looking for a #dataanalyst role, please reach out. I know people at a few different companies that are hiring for data analysts and data scientists. One is remote, the others are hybrid in socal area.

Data talents, you shouldn't do this when it comes to finding a new mission. I received over 100 messages from data professionals looking for their next gig. Most of these messages look the same: "Hey Duncan, I am a data [engineer, scientist, analyst] with X years of experience and skills in [tech stack]. Do you have something that can fit me?" This approach is not effective because hiring managers are looking for more than a list of skills; they seek someone they can trust to deliver results and integrate seamlessly into their team. To stand out, focus on two key aspects: 1/ Building Trust: Share specific examples of past projects and the tangible impact you had. For instance, instead of saying "I have 5 years of experience in data engineering," you could say, "In my last project, I optimized the data pipeline for a leading SAAS company, reducing processing time by 40% and saving $200K annually." 2/ Displaying the Right Skillset: Tailor your message to the specific needs of the hiring manager. Highlight relevant experiences and how your expertise can solve their unique challenges. For example, if a company is looking for a data scientist for their pharma division, mention your project where you developed predictive models for clinical trials, improving patient outcome predictions by 30%. Remember, getting a job = Building Trust + Skillset. Make your outreach count, and watch the opportunities grow. Or, if you're too lazy to do it yourself, I am currently recruiting for top data programs. Just send me a message

🚨🚨 Time’s to make a change… Lago – Open-Source Usage Based Billing Is Hiring a Data Scientist (EU-Based)🚨🚨 Ready to level up? Apply now. Lago – Open-Source Usage Based Billing Is Hiring a Data Scientist (EU-Based) https://ift.tt/ocTgrCS I offer #resume services and #interview prep support, so let's skip the excuses. Click the link to book a slot on my Calendly before it fills up! https://ift.tt/nCbGhM1 If you know someone who would fit the role, let's get THEM #hired. Tag them in the comments and share the post to your connections! *Note: I am not hiring or sourcing for this role. If you are interested in applying, please do so through the link in the post.

#CareerGrowth #JobOffer #DataScience #DecisionMaking Hey everyone! 👋 I’m in a bit of a dilemma and could really use your thoughts. I’ve been working as a remote Data Scientist for about two years now, and while I appreciate the stability of my current job (I make $90k plus an 8% bonus), I’m feeling pretty stuck. 💼 It seems like there's zero chance of promotion because my company keeps raising the bar on expectations. They recently said that the next level up requires 8+ years of experience, which is a long shot for me! Additionally, the work environment isn’t exactly inspiring. I often feel overloaded with my responsibilities and don’t really get the support I need to excel or grow my skills. Despite the pay and the role being sought after, I’m increasingly unmotivated, and honestly, I’m feeling a bit burnt out. 😩 Here's the kicker: I just received an offer for a Data Analyst position at a big-name company that pays around $106k. The catch? I'd need to be in the office four tim... Is an 8% pay increase worth leaving a stable job for growth? Answers: https://lnkd.in/g8JdN-hi

People Analytics

Do you have tech recruiters or managers that understand your business's tech needs? Not having them might be doing your business a disservice. Let's say your business specializes in finances and you decide to hire a data analyst with 5 to 10 years of experience analyzing large data, but zero experience with financial data. This candidate may meet all your other qualifications, but lack of experience with financial data could be a roadblock. The keyword is still data, whether it's financial, marketing, medical, or anything else. The only thing to learn is the terminology. How you analyze and manipulate it will be based on the business rules, data governance policies, and scope of the project. #techrecruiters #dataanalyst

When searching for a Data Analyst, it is important to identify the key factors that will ensure the right fit for your team and goals. But what are these factors? Here are the key elements to take into account when hiring a data analyst. If you cannot afford to hire a full-time analyst, consider the option of nearshoring. We can give you access to top talent at an affordable price. Get in touch with us. #TechRecruiting #StaffAugmentation #Nearshoring #TranslatingTechIntoSuccess

#hiring *Data Scientist*, San Jose, *United States*, fulltime #opentowork #jobs #jobseekers #careers #SanJosejobs #Californiajobs #ScienceTechnology *To Apply -->*: https://lnkd.in/dNHn9ka7 Contractor is expected to supports a range of activities associated with dashboarding and analytics. The nature of the work tends to fall into two categories 1) complementary detailed analytical and/or critical documentation development work supporting an inflight project or 2)deliver against adhoc requests that are dashboarding / metric build out related Monthly deliverables include: Expanding access permissions: a system for managing users, groups, and memberships for the purpose of access control; Dashboard/Metric development; Additional Services Include: Validate data integrity and maintain projects, action items, checklists, and or issues data attributes within client's tool ecosystem Lead and coordinate weekly vetting of incoming new capability requests; Support and coordinate monthly roadmap review; Generate ad-hoc reports analysis; Provide readouts of project status to stakeholders; and Weekly progress reports detailing progress of deliverables.

“𝐒𝐡𝐨𝐮𝐥𝐝 𝐈 𝐡𝐢𝐫𝐞 𝐚 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐬𝐭, 𝐨𝐫 𝐚 𝐝𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫?” Here’s what most recruiters can’t tell you: Building a data powerhouse all starts with the right team. But knowing who to hire in order to make this team a reality is often more challenging than it first seems… Conflicting priorities from senior management muddy the waters, recruiters are often limited by lack of data expertise, and differentiating between titles like ‘Data Analyst’, ‘Data Engineer’, ‘Data Scientist’, ‘Data Architect’ (the list goes on) can feel like navigating a maze. Whether you need the nuances of each role demystifying, or you know data roles inside out, but still can’t seem to achieve the right hiring outcome, we wrote this article to give you the help you need. Click the link in the comments below to find out where analysts and engineers overlap, where they differ, and what key factors you need to know to find the right fit for your data team.

“𝐒𝐡𝐨𝐮𝐥𝐝 𝐈 𝐡𝐢𝐫𝐞 𝐚 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐬𝐭, 𝐨𝐫 𝐚 𝐝𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫?” Here’s what most recruiters can’t tell you: Building a data powerhouse all starts with the right team. But knowing who to hire in order to make this team a reality is often more challenging than it first seems… Conflicting priorities from senior management muddy the waters, recruiters are often limited by lack of data expertise, and differentiating between titles like ‘Data Analyst’, ‘Data Engineer’, ‘Data Scientist’, ‘Data Architect’ (the list goes on) can feel like navigating a maze. Whether you need the nuances of each role demystifying, or you know data roles inside out, but still can’t seem to achieve the right hiring outcome, we wrote this article to give you the help you need. Click the link in the comments below to find out where analysts and engineers overlap, where they differ, and what key factors you need to know to find the right fit for your data team.