SAS Jobs

At Harnham, we want you to have the best recruitment experience possible and that’s why we work hard to provide a professional and quality experience. This ethos is how we retain so many of our loyal clients, as we believe that building relationships is an important step when recruiting. 

SAS software can help businesses manage their data from a variety of sources, allowing them to get the most out of it through a variety of functions ranging from storage to advanced analytics. SAS experts use this to gain valuable insights into how businesses can improve their strategies and help them target and reach the right audience.


To get the most out of any SAS software your business looks to use, it’s best to employ an SAS expert who can utilize the more advanced options to develop even more ways to organize your data. Candidates looking for a job using SAS should have an expert knowledge of using the software including developing, implementing and tracking analytical strategies.

At Harnham, we know that communication is crucial. We make sure that we are fully responsive throughout the recruitment process, so that you know exactly how your search is progressing. We believe that this helps us to make the entire procedure successful for everyone involved, both client and candidate. 

Whether you’re looking to implement SAS software within your business, or you’re an expert looking to apply your skills then you should contact Harnham today. For a positive recruitment experience please give us a call.

For the East Coast and Mid-West teams please call 212-796-6070, or email

For the West Coast team call 415-614-4999 or email

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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.

Visit our Blogs & News portal or check out our recent posts below.

How Cities Are Using Big Data

How Cities Are Using Big Data

High speed trains in Florida. Driverless cars in Arizona. National grid union agreements. All these and more are working to create a more smoothly operating system of infrastructure. While privacy laws and transparency vie for attention at every level of government in the US, cities have taken the onus of using data to make decisions.   The functionality a critical infrastructure society is built on – railroad tracks, flare stacks, power lines – has been brought together by robotics and AI. The decentralization of intelligence, cloud systems which remotely control Industrial IoT, and AI are just a few of the ways in which 2019 will be a breakout year for Distributed AI. New York City Uses Data to Alleviate Damage Risk to Buildings In their race to stay ahead of Big Data, they may also find ways to improve they might never have discovered without it. New York City has limited staff who can analyze its million properties and incorporate analytics to discern fire risk considering past risk and building traits. City coding has therefore become more important than ever to alleviate potential risk.   Philadelphia Focuses on City Interaction with its Residents Evidence-based decision making has debuted in Philadelphia’s GovLabPHL, a multi-agency collaboration. Together, they are centralizing and digitizing records making information easier to share among agencies that historically kept information to themselves. With everything in one place, they can provide city services to their residents much more effectively and efficiently. Florida’s First High Speed TGV Train Rolled out late last year, this high-speed train travels from Miami to West Palm Beach with plans to branch into Orlando and Tampa soon. America’s first high speed passenger train in years will help alleviate road traffic, noise pollution, and more. Data collected may include best safety measures, business practices, and economic value to the city and its residents as money shifts from car buying to rail ticket purchases. The Ethics of Data and Potential Risk of Bias Gaining insights into human behaviors, ease of transportation, and predictive information to curb damage to buildings and other city properties are all important to a smart city’s infrastructure. But, data is, after all, input by humans and isn’t infallible; falling prey to natural biases. Researches and analysts caution decision-making from computer-based algorithms isn’t perfect and should be considered with discretion. For example, the rise in AI, face recognition software, traffic cams, and statistics currently on file may hold a prejudice against certain ethnicities based upon their developer’s biases. This is especially glaring in criminal behavior predictions and as such, policymakers need to think critically and to not take technology at face value. After all, those inputting the data are human, and our biases have a way of seeping into our information. In 2019, AI systems are no longer the robotic machines once shown in movies as something to fear. Today, vendors who build these systems must not only focus on the value provided, but also consider moral foundation of their service. It’s important to understand exactly why and how data will be collected and with whom it will be shared. As cities and businesses continue to catch up, this knowledge is necessary for long-term viability, credibility, and transparency. Trust is a crucial element of data strategy.  See Through Cities – Transparency is Key City governments and researchers are working to lessen discriminatory outcomes by turning to transparency. Major cities such as Philadelphia and New York have opened up their websites and invited the public to examine information and their methods of interpreting the data. New York implemented a task force to study how the city uses data and its goal is to present in December of this year ways the city should assess its automated decision-making for transparency, equity, and opportunity. This is a pivotal year for cities to understand their urban ecosystems. Understanding challenges such as traffic, pollution, parking and inefficiency of movement in urban areas may help realize how, when, and where people are moving. With core infrastructures in place, movement may be reduced. In addition, mobility will become efficient and lessen people’s need to move around for better jobs and/or housing. AI is the tool to help cities gain visibility into this type of data. It will enable not only visibility, but also foster prediction capabilities, and provide actionable insights to improve our understanding of why, how, and the way we move. If you’re interested in Big Data & Analytics, we may have a role for you. We specialize in junior and senior roles. Check out our current vacancies or contact one of our recruitment consultants to learn more.  For our West Coast Team, call (415) 614 4999 or send an email to   For our Mid-West and East Coast Teams, call (212) 796 6070 or send an email to

What Does the Future of Tech Hold as Businesses Look to the New Year?

What Does the Future of Tech Hold as Businesses Look to the New Year?

Black Friday. Cyber Monday. Tech Tuesday? The weekend surrounding Thanksgiving is full of opportunities to save big. This week sees even more action at the two-day AI and Big Data Conference in Santa Clara, California. Though LinkedIn may show news of Silicon Valley upsets, no one has told these thought leaders, forward-thinking brands, and hot start-ups as this conference is expected to be the biggest yet. In the spirit of the season, we thought we’d hone in on building a foundation for your digital transformation as you look to the new year. Lay the Foundation  With AI at the heart of modern applications in today’s business world, it’s important to not only have digital leaders who can take the reins, but also, data scientists who are pivotal developers. These are the individuals who have mastered the tools and skills of data science. They can understand and translate the data gathered via machine learning and AI for such common applications as predictive analytics, consumer experience, and image-based search. To create an effective AI pipeline, developers need a place to store, manage, and control models as part of the DevOps lifecycle.  In addition, they’ll need a data lake to store, aggregate, and prepare data for exploration, predictive modelling, and training. Like so many technologies of today, DevOps is part of an integrated collaboration environment, and is the baseline from which all pipeline functions emanate.  Things to Consider as You Build Your AI Strategy Artificial Intelligence (AI) has been a buzzword for a number of years, but as many businesses are quickly coming to know, it’s important to have the right strategy, and that includes knowing when to apply it to solve business problems, and when not.  Here are a few things to think about as you plan: Ask what problem you want AI to solve. Think it through. Identify where it can be most effective and understand that it is not a solution for everything. It’s a huge investment, so if there are other ways to solve your problem, identify those solutions first. Do your research. Consider the legal aspects as you analyze and set a benchmark for industry trends. Have a solid understanding of analytics. If you’re using AI in your business strategy, make sure you understand your data in order to either implement it successfully, or know enough to pull the plug.  Educate Your Team by Including them in the transformation. Remind them it’s not about machines taking over their jobs, but that it’s an opportunity to grow. Offer opportunities for upskilling, and education.  Trends in Transformation If your company wants to stay ahead of the competition, now is the time to embrace the technology of the future. Create an immersive customer experience, pair your analysis with machine learning, and get comfortable with experimentation in support of your organization’s goals. We’re looking forward to being inspired by the thought leaders and new tech evangelists at this week’s AI and Big Data Expo, discovering how businesses are using artificial intelligence, machine learning, and data analysis to find new ways to engage and improve their customer experience.  If you’re interested in Big Data and Analytics, we may have a role for you. We specialize in junior and senior roles. If you’re attending the Big Data and AI Expo in Silicon Valley, November 28 and 29, stop by our booth and say hi. We look forward to meeting you and can discuss opportunities on the spot.  If you can’t make it, you can check out our current vacancies or contact one of our recruitment consultants to learn more.  For our West Coast Team, call (415) 614 4999 or send an email to   For our Mid-West and East Coast Teams, call (212) 796 6070 or send an email to

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