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  • Product Data Analyst
  • Location: San Francisco, California
  • Salary: US$90000 - US$120000 per year
  • Reference: 1735

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Harnham blog & news

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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Which Skillset Do You Need: Data Science or Advanced Analytics?

According to our 2020 US Data & Analytics Salary Guide, there has been a recent uptick in leadership roles within the Data & Analytics industry. Stemming from the skillset which is equally balanced between technical and communicative abilities, this field is fast approaching a 50/50 gender split. These are the leadership roles for which businesses are seeking employees who can translate business objectives into actionable insights, and yet, too often businesses think this is the role of the Data Scientist. As Data Science, Machine Learning, and other terms in the Data industry change to encompass new roles, it is imperative businesses understand what skillset they need to fill which role. So, here’s a quick comparison to help navigate which role has the best skillset for your needs. TRADITIONAL DUTIES OF A DATA SCIENTIST  Understand one or more coding languages such as R, Hadoop, SQL, Apache Spark, etc.Able to collect, gather, and analyze Data from past and current applications for business recommendations.Craft statistical models for planning and implementing strategies. While it’s true these three duties are similar to an Advanced Analytics Skillset, the advanced skillset takes things a bit further.  TRADITIONAL DUTIES OF A CHIEF DATA OR ANALYTICS OFFICER As this role leans a bit more toward the Advanced Analytics skillset, let’s take a look at where it jumps off from the traditional Data Scientist role. Create a Data Strategy and communicate the vision of that strategy.Create Data access policies and strategize with business executives. Oversee a variety of functions including Data Management, Data Governance. Whether the title is Chief Data Officer or Chief Analytics Officer, these are the high-level roles which might report to the CEO or COO rather than the CIO. The Chief Data Officer falls within the senior executive team and is responsible for not only the Data Strategy and its governance, but explaining its benefits in clear language to the other executives. WHEN BUSINESS & CANDIDATE EXPECTATIONS ALIGN  Though Advanced Analytics teams have remained strong during the pandemic, and the field is ever-changing as businesses understand which skillset they need for what job, there has been some turnover in the past.  So, why the turnover if it’s an expanding field? The answer is two-fold in that oftentimes, the candidate and business expectations aren’t aligned. And to that end, it often stems from businesses believing once they’ve hired someone their problems are solved.  However, when the right person with the right skillset is in the right place. And when businesses understand that person can help them solve the problem once there is a strategy and processes in place, then the two are more efficiently aligned.  WHERE TO LOOK FOR ADVANCED ANALYTICS & INSIGHT ROLES If you’re a candidate and have five years or more experience in the Analytics industry, there is a huge growth in demand from EdTech and TeleHealth enterprises. As businesses have gone online and virtual, it’s important to have someone in place who can navigate the changing nature of education and medicine within the Data & Analytics field. One of the key ingredients businesses hunger for are candidates who can blend statistical analysis with the communication skills. For businesses, candidates want to grow with the business and have the opportunity to make an impact. In our recently released 2020 Salary Guide we discuss each specialism; what’s working, what isn’t, and how businesses can hire and retain top talent to keep their projects on track and their businesses running smoothly. If you’re interested in Data and Technology, Risk or Digital Analytics, Life Science Analytics, Marketing and Insight, Data Science, or Computer Vision, we invite you to check out our current vacancies. If you’d like to learn more, contact one of our expert consultant. For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.  

Computer Vision in Our Day-to-Day Lives

We make micro adjustments every day to what we wear, how we shop, and how we drive. Our healthcare and industrial verticals are working with AI and Computer Vision to enhance our experiences from the user to the professional. There are a variety of computer vision applications to make life easier, more efficient, and safer. In other words, our computers have eyes. Every industry, it seems, is now touched by Computer Vision. From retail to healthcare to agriculture to banking, AI technology combines with deep learning and machine learning to help computers “see” where a car goes, an individual’s health, and what outfit might look best for any given outing. So, let’s take a look at some of the industries currently using Computer Vision. AUTOMOTIVE Human error and distractions often lead to car accidents and fatalities. According to the WHO, it’s estimated traffic accidents will be the seventh leading cause of death by 2030. To help alleviate this prediction, there is work being done on a self-driving car with sensor technology. Though autonomous cars have been tried before, this next incarnation has worked to ensure it can detect not only other cars and other large obstacles, but also pedestrians and cyclists at a distance. As it navigates through the streets autonomously, it follows traffic regulations as well as detect hand signals, and more. Efforts to train the vehicles use deep learning to predict, plan, and map its way through various scenarios. HEALTHCARE The advent of Computer Vision in technology has been a boon to the industry. It can help determine conditions of illness, reduce or eliminate misdiagnoses, and can even monitor blood loss during medical situations.  Captured images on items such as surgical sponges can be processed using Computer Vision using Machine Learning. In comparison with the human eye, the computer’s estimates were more accurate.  RETAIL  Retail has been at the forefront of many changes within the tech industry. And now, as online shopping, e-commerce, and virtual events take over traditional venues and brick-and-mortar stores, even the task of trying on clothes has gone virtual. From a virtual mirror which uses Computer Vision to help identify what outfit looks best. What may be most appropriate in what situation. Something like a movie montage, but in real time for a real person.  Retail takes things a step further by stepping up security. Using Computer Vision, retail security apps can monitor what is being recorded, what has been taken from shelves, and items being fake scanned. This information and knowledge can lead to reduced theft and other losses in stores. While other industries such as banking and agriculture have also seen a rise in Computer Vision, it’s the above which we might see in our day-to-day lives sooner rather than later. ONE FINAL THOUGHT Business processes have shifted online, looking for your next job has become more daunting than ever before. But here’s the good news. Everyone’s on the same page. Leaders, hiring managers, recruiters, and prospective employees are all navigating a new way of doing business and finding talent to keep those businesses running. In the wake of work-from-home policies, remote working, and the shifting landscape of working outside the office, technology, and particularly biotechnology careers are prime opportunities to both gain increased knowledge in your chosen field or begin your career path.  If you’re interested in Big Data & Analytics or other Data professional opportunities, check out our current vacancies or contact one of our recruitment consultants to learn more.   For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.  

The Transformative Nature of Data Science

What does Data tell us? Why do we want to know the information we collect and analyze? How can Data help us now? Well, sometimes you have to go back to basics. Knowing your Data helps you make better decisions for the future. This is the transformative nature of Data Science.  The Data Scientists have collected is leading toward a vaccine for a novel virus. Our massive shift from in-house workers to working from home showed us where the gaps in our internet infrastructure existed. But, the information we gathered wasn’t just where the gaps occurred, it also offers a jumping off point for how we can use what we’ve learned to improve.  We know Data is essential to business today, but how we use it, and gathering what we can learn from it, offer transformative advantages we might have otherwise missed. WHERE DO WE GO FROM HERE? Data Science is what helps us interpret the massive amounts of Data we’ve collected. With an estimated 90 percent of Data created just in the last couple of years, and an estimated dearth of connected devices estimated to grow over 75 billion by 2025, the sheer volume is daunting. Yet we still have need for change. Technologies to interpret Data at such a massive scale still need someone to gather, collect, analyze, and interpret the information. What we’ve learned so far with Data Science shows us what must change to support health workers, the health of our employees, the support of remote workers and gig workers, and how businesses can differentiate themselves from their competitors in a post pandemic world. SEVEN WAYS ORGANIZATIONS CAN PREPARE FOR THE FUTURE Prioritize Digital Collaboration As employees begin to return to ‘normal’ work hours, Gartner suggests 48% of employees will work remotely. This is an 18% increase pre-pandemic. So, when hiring managers take stock of their employees, they’ll want to consider things such as productivity and performance management and how workers are evaluated based remote working touchpoints rather than established criteria of employee performance management.Ensure Inclusivity of Employees  Bring employees into more critical roles and give them the freedom to make mission critical decisions. Open Up Opportunities and Develop Critical Skillsets Coach employees on how to develop critical skills for a variety of roles, rather than focusing on one particular role.Be Flexible The days of doing things ‘the way we we’ve always done’ are gone. It’s time to reassess, reevaluate, and prepare your employees for success. How? Consider what may may be needed for a given role’s development path. Do your employees need reskilling or upskilling?  Flexible careers. The gig economy. The freelance economy. Contractors. All these titles and labels offer flexible learning and training allowing your business to pivot smoothly and efficiently as needed. Training is the key here and it will help employees transition into other organizations, into roles with greater responsibility, and allow both your employees and your organization to adapt to changes more quickly.Teach Employees to Respond Rather than React Structure your organization and employee response to quickly course correct. Don’t assume or target a core set of future skills. We don’t know what the future holds or what skills may be needed. But if you have employees with wide interests, your business may be better positioned to make changes as needed. Implement a Culture of Inclusiveness – Remote vs. In-House Employees Diversity is an important part of any business. But with the rise of remote workers, it’s time to ensure all workers are supported in regard to healthcare coverage, mental support, and financial health pre-and post-pandemic. Inclusiveness can help to engage those workers both in-house and remote to ensure everyone feels part of the team. Devices such as VR, AR, video calls, and more can help to make every employee feel part of the company culture.Encourage Data Literacy Throughout Your Organization Everyone in your organization will need to be Data literate. Yet everyone will be at a different level of literacy. Here it’s important to define both the skills and capability. Once your leadership has a firm grasp of the Data provided to them by your Data Scientists and business intelligence analysts, then they’ll have a starting point from which to make informed decisions. Building a culture of Data begins with leadership. Are you ready for the role or are you an organization looking for someone to fill this role? Business processes have shifted online, looking for your next job has become more daunting than ever before. But here’s the good news. Everyone’s on the same page. Leaders, hiring managers, recruiters, and prospective employees are all navigating a new way of doing business and finding talent to keep those businesses running.  If you’re interested in Big Data and Analytics or other Data professional opportunities, check out our current vacancies or contact one of our expert consultants to learn more.   For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.  

Three Life Science Skillsets for a Post Pandemic World

COVID-19 has reshaped the way we do business, how we interact with each other, closed and opened opportunities. Essential workers are on the frontlines and scientists work feverishly in the background to help flatten the curve and find a cure. The Life Sciences industry has seen a surge in demand, but can those needs be met in time?  New York, California, and Boston, face the highest demand and the biggest shortage of workers to fill the jobs. In Massachusetts alone, it’s estimated that though 74,000 people filled Life Science jobs by the end of 2018, there would be a need for an additional 12,000 by 2024. This was before the pandemic struck. The need is ever greater now. So, what skills do you need to enter the Biotech and Life Sciences field and if you’re in the field, how can you upskill or reskill to fill the most in demand roles?  THREE ADVANCED SKILLSETS FOR A POST-PANDEMIC WORLD Computer Vision – A subset of AI, Computer Vision can help the healthcare industry in a variety of ways. It can help identify anomalies in x-rays, help craft prediction models for things like tracking and vaccine solutions, and enhance technology workflows. Data Storytelling – One key element businesses look for in a Data professional is someone who has good data storytelling skills. The ability to translate complex numbers and statistics into something executives and stakeholders can understand is becoming ever more important and ensures sustainability of business continuity. Not only does Data Storytelling make information more digestible for non-technical professionals, it also helps business leaders to make powerful insights about where they are and what steps they need to make moving forward.Skills in Healthcare Technologies – Healthcare technology skills are in high demand. Data professionals who can use and understand medical data in real-time to get results will be highly sought after. Advanced skill sets in healthcare, biotechnology, and similar areas within Life Sciences will see a surge in demand and would be most relevant to companies now more than ever before.  Computer Vision, Data Storytelling, and Healthcare Technology skills have become three of the top skillsets needed for today’s world. Each one feeds to the other, and as important as technical skills are, it’s just as important to have soft skills. Especially now. Thankfully, both soft skills and technical skills can be taught. But there still exists a gap between school and business. Below are some ideas on how to bridge that gap. BRIDGING THE GAP BETWEEN SCHOOL & BUSINESS STEM and STEAM skills will be in higher demand now more than ever before. As important as it is to ensure students with the desire to move into these fields, it’s more important to begin with the schools. For the professionals already in the industry, there are other ways to encourage bridging the gap. Draw more students into STEM programming careers and sustain encouragement as they progress in their studies and career.Emphasize skills with a focus toward the life sciences field.Emphasize that students don’t have to choose a business career over a science career. There is crossover leading to more opportunities.And for those life long learners (read: already in the field), ensure opportunities for professional development.Find talent in other creative ways. Consider ‘non-traditional’ candidates. Business processes have shifted online, looking for your next job has become more daunting than ever before. But here’s the good news. Everyone’s on the same page. Leaders, hiring managers, recruiters, and prospective employees are all navigating a new way of doing business and finding talent to keep those businesses running.  In the wake of work-from-home policies, remote working, and the shifting landscape of working outside the office, technology, and particularly biotechnology careers are prime opportunities to both gain increased knowledge in your chosen field or begin your career path.  If you’re interested in Big Data & Analytics professional opportunities, check out our current vacancies or contact one of our recruitment consultants to learn more.   For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.  

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