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Paid Social Specialist
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Paid Social, Supervisor, Facebook, Twitter, Social Media, Media Analytics, Analysis, Analyst, Portland, Oregon, Facebook Ads Manager, Advertising, Marketing, Agency, Paid Social Media.
US$85000 - US$95000 per year
An exciting opportunity to oversee the client relationship in a data-driven and digitally oriented ad agency.
US$95000 - US$105000 per year
Los Angeles, California
Fantastic opportunity to lead the paid search search in a community-focused ad agency in LA.
US$125000 - US$150000 per year
This is a great opportunity for a technical specialist to step up and work for one of the biggest agencies in New York.
US$190000 - US$210000 per year
looking for a Hybrid blend of media/data analytics, advanced analytics (Predictive modeling & Machine learning), with basic background in Product Management.
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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It’s open enrolment for healthcare here in the US with a maze of plans to choose from. If you want to dip your toes into the world of healthcare with a tech bent, you may want to check out Bioinformatics or health informatics, and yes, there is a difference. Bioinformatics is a growing field and is expected to grow to $16 billion by the 2022. It may just be the next “rock star” profession for those in the Data & Analytics fields. So, what is Bioinformatics and how is it different from Health Informatics? What is Bioinformatics? It’s the marriage of biology and information technology. In a world constantly on the go, and as we grow older and live longer, it helps us find the answers we seek. Bioinformatics often begins at the beginning. Think genome research, for a start. Yet, ultimately, it focuses on biological data in medical research and drug development. Imagine collecting and organizing data to annotate, record, analyze, and extract structural information in relation to protein sequences or applying your knowledge to chromosome therapy, drug innovations, or forensic analysis. Because of the advances in IT, what was once unimaginable is now available. A booming industry which is a boon to the population. House, M.D. meets Bones. Within this industry are sub-categories and sub-applications. In other words, there’s something for everyone interested in both biology and computer science. Here’s a quick list: Medical BiotechnologyAnimal BiotechnologyAcademicsAgricultureForensicsEnvironmental And within these sectors, though not the full list, their applications: GenomicsChemoinformaticsDrug designTransciptomics What is Health Informatics? Health Informatics is similar to Bioinformatics in that it uses computer technology to further advancements in medicine. However, while Bioinformatics focuses on the biology side of things, Health Informatics (HI) is focused on the patient side; helping doctors and patients determine care. HI is the application of design, development, and analysis of patient and healthcare Data systems. It’s the nervous system equivalent of a hospital or doctor’s office which houses medical records, billing systems, and compliance systems. For those with a computer science background who are more interested in the information infrastructure and architecture of a healthcare enterprise, Health Informatics may be for you. If you’re interested in the administration side of healthcare, you may want to think about Health Information Management (HIM). You can also learn more, here. Getting Your Foot in the Door You know the basics. Have a technical background with the communication skills to explain your findings. Boost your resume with video. Have done a project or two to show your work and capabilities, but when you drill down to something like informatics, there’s one more bit of training you’ll want to have. Since Bioinformatics, for example, is the marriage of biology and technology, it’s important to have a background in molecular biology and computer science. Drill down further and you’ll want to include database design as well. The Sum of its Parts Bioinformatics is an emerging science, in which we develop and use computer databases to enhance our biological research. Analyzing, storing, managing the data we collect or extract; this is the sum of its parts. Advancements here give us the opportunity to more efficiently identify new therapies, new treatments, new sequences to better understand disease. The potential to improve personalized medicine is exponential. What we learn and find today may help us solve tomorrow’s healthcare issues. Want to get in on this growing healthcare field and the next generation of IT? Interested in Big Data and Analytics, but not necessarily the healthcare industry. We’ve got you covered. We specialize in Junior and Senior roles. We may have a role for you. Check out our current vacancies or contact one of our expert consultants to learn more. For our West Coast Team, call (415) 614 - 4999 or send an email to email@example.com. For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to firstname.lastname@example.org.
07. November 2019
So, you’re pursuing a career in Data & Analytics. The brilliant thing about this is you’re entering a fast-growing industry with the potential for a great salary. But, unfortunately, this also means you’re probably entering into one of the most competitive fields out there right now. The question is, how can you ensure your resume stands out from the crowd and impresses any potential employer? Here are some top tips to help boost your Data & Analytics resume. Formatting is important It may seem obvious, but handing over a messy resume with no headings and massive blocks of text is no way to make a good first impression. Research suggests your resume is only looked at for a total of six seconds, so it’s important to make an impact on first glance. Not only does this entail creating a well-presented document overall, but it also means paying attention to the small details such as structuring your resume to best emphasise the qualities and experience you think speak most highly of your ability to do the job well. This is why utilising a reverse chronological format is sometimes a worthwhile idea. For a highly competitive job in a Data & Analytics related field, where past experience is an important factor, beginning a resume with your most recent experience nearest the top will draw the eye and attention of the hiring manager reading it. Additionally, make sure your skills, qualifications, extra courses and impressive achievements are highlighted and clearly stated within the main body. As such, it’s better to use bullet points wherever possible instead of paragraphs and, consequently, you’ll find your resume a lot more compact and legible; in other words, much more likely to be read and remembered. Quality over quantity Having the most aesthetically pleasing resume in the world will mean nothing if the content doesn’t relate to the job you’re applying for. Again, this may sound obvious but it’s always worth combing through your resume to eliminate any irrelevant features and leave more space to talk about the things that matter. Having a single page summarizing the most impressive contributions in your last role, or the most valuable insights gathered from a particular project you were involved with, is much more valuable than a multi-page essay about your volunteering with a local soccer club five years ago (unless, of course, your role heavily related to Data & Analytics). When introducing yourself, avoid long sentences and pronouns, and use impactful verbs when describing your achievements: for instance, try “instigated” instead of “started” and “spearheaded” instead of “led”. Also be sure to highlight and, where possible, quantify how your previous work in data/analytics benefitted your old company. Know the value of your skillset It’s worth dedicating a section of your resume just to listing your most valuable skills as they relate to the job you want. However, make sure to be specific when describing your technical skills and experience with whichever tool you’re talking about. State your level of expertise and how you utilized said software to make your knowledge clear to whoever’s reading. If you’re applying for an entry level position, however, and don’t have much experience or technical skills yet, it’s important to show off whichever skills you already have and how they will make you a great addition. It’s worth researching which of your more general skills are the most sought after by employers, and then gaining an understanding of which ones best relate to the job you’re trying to get. For jobs working in Data Science, for instance, maths skills, analytical skills and problem solving are well worth mentioning. Ultimately, you want this section to contain a comprehensive, impressive sounding, and accurate, list of your most relevant skills. If you’re interested in Big Data & Analytics, we may have a role for you. Take a look at our latest opportunities or contact one of our expert consultants to find out more: For our West Coast Team, call (415) 614 - 4999 or send an email to email@example.com. For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to firstname.lastname@example.org. This guest blog was provided by check-a-salary.
16. October 2019