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.
Jenni started her career in recruitment as part of Harnham’s 2014 graduate scheme joining the Marketing & Insight Analytics team. After 2 years in the UK, she moved to the New York office where she has helped grow the team as a Managing Consultant. She is now an active member of the analytics field in the US and on a Board of Advisors for a MSc Analytics program at a local University, aiming to enhance the development and growth of the Statistical Analytics practice on the East Coast.
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.
Earlier this month I had the pleasure of speaking at ODSC East, as the best future talent Data Science talent gathered together to discuss the direction of our industry. With Data Science becoming such a broad term that covers a number of functions, and with the rise of new areas such as Blockchain, AI and ML, I wanted to talk about what it actually means to be a Data Scientist now, and in the future. With this in mind, we conducted a survey over the course of the event where we asked what Data Science meant to the people there. Here’s what we found out: WHAT IS DATA SCIENTIST, ACTUALLY? Every company thinks they need one, and every analyst wants to be one, but more and more job titles that are not necessarily Data Science are now being billed as Data Scientists. In fact, when we asked people what they considered their job title to be, regardless of experience, Data Science came out on top: Data Scientist: 58% Data Analyst: 22% Machine Learning Engineer: 10% Business Intelligence Analyst: 9% However, from my experience, this is not necessarily accurate. I once worked with the Senior Manager of Data Science in a very well established Retailer. He’d been there for less than one year and was already on the job market. In his interview he had been told that the company were fully behind investing in a top-class Data Science department but had actually ended up managing a team of people who were building dashboards creating reports for all areas of the business. This is much less Data Science, and much more Business Intelligence. This confusion is quite typical within the industry and frequently needs to both unhappy employers and employees. MORE THAN JUST TOOLS One common mistake when it comes to misidentifying Data Scientists is a result of people focusing on the tools people use. Whilst both Data Scientists and Marketing & Insight specialists might be skilled up in Python, R and SQL, their methodologies are significantly different. When asked to define a true Data Scientist at the event, 73% of people agreed the definition is: “A person who uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.” Companies who panic about needing a Data Scientist to keep up with their competitors often ignore these crucial points and end up listing every tool on a job spec. Frequently those who claim they want a Data Scientist actually want an Insight Analyst who can understand how customers behave, what they respond well to, what they’re talking about on social media, and how this unstructured data can be used to help their business make better decisions. WHAT DOES THIS MEAN FOR ME? For someone wanting to work in the Data & Analytics field there is one key rule: Know Yourself. Think carefully about aspects within your Science, Operational Research, Statistics, and Analytics in general that you enjoy and how you can work them into your career. If you’re in college and just starting your career, don’t limit yourself by the sectors you think you have to work in; enjoy gaming? The gaming industry uses Data to make characters more lifelike, make sure they move in real-time and ensure that they play in a realistic way. Just as crucial, however, is having an understanding of what the analytical teams around you do. Consider what roles they play in your business and how you are all interlinked, whilst being aware of the unique differences between roles. And, outside of analytics, those who understand what impact their work has on a business will always stand out amongst a crowd. Essentially, don’t let yourself be limited by the title of Data Scientist. There are hundreds of roles within Data & Analytics so think about which one is right for you, rather than following the crowd. If you’re looking for your next opportunity in Data & Analytics, or are looking to build out a team, take a look at our latest roles or get in touch with one of our expert consultants: For our West Coast Team, call (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to email@example.com. Or, if you'd like to talk to me directly about anything I've talked about above, feel free to drop me a line at firstname.lastname@example.org.
30. May 2019
Just because pricing deals with numbers, it doesn’t mean it’s exclusive to the financial sector. In our last few posts, we focused heavily on the role of Pricing Analyst, what it is and how to get there. This type of analyst role is more often found in the marketing arm of many companies and might also be known as Behavior Analyst, Customer Analyst, or something similar. However, there is another type of analyst sometimes confused with Pricing Analyst which falls squarely within the Finance sector. These roles might boast titles such as Risk Analyst, Financial Analyst, or Actuary. Often, it isn’t the title that speaks to the particular strengths of one type of role over another; it is the responsibilities and skill sets documented within the job description. Like Pricing Analysts, these professionals deal with numbers and pricing. However, their focus is on models, such as those required for mergers and acquisitions or how to set health insurance premiums looking at risk. Looking for a Low to No-Risk Gig? Actuaries are in high demand. As a profession, it is one of the most diverse and tends to be more open to women and under-represented minorities. Though the focus is often on insurance and pension programs, Actuaries can find work in a number of industries including consulting firms, hospitals, banks, investment firms, and government. As advisors who manage risk portfolios while analyzing historic and current data, these professionals are business-minded people with a mathematical basis. Using mathematics, statistics, and financial theory, they analyze the financial consequences of risk. The Masonic-esque Levels of Becoming an Actuary For individuals who are numbers focused and are interested in using their data, technical, and mathematical skills coupled with business acumen; the role of Actuary might be the perfect fit. However, there are steps or levels which need to follow to enter the profession. These are exam-based and work-experience levels and your salary increase incrementally with each step. To begin, a graduate with a high GPA and one exam under their belt may find the role quite lucrative. Each exam leads to the next level and enters you into an Actuarial Society. Depending on where and what you want to practice will determine which society you’ll sit the exam: Society of Actuaries (SOA) – focus is life and health insurance, pensions, and employee benefits. Casualty Actuarial Society (CAS) – focus is automobile, fire, and liability insurance as well as worker’s compensation. American Society of Pension Actuaries (ASPA) – focus is those in the pension field, particularly in relation to federal and state governments. Each organization has its own exams and competition is fierce. Qualities sought beyond a high GPA and actuarial exam include: Good communication skills High technical ability A wide background from mathematics and statistics to the liberal arts Actuaries and analysts with an eye toward the financial and insurance sectors use their statistical skills to research, network, and connect the dots between discerned variables. The research begins with statistical modeling. Connect the Dots with Statistical Modeling In statistical forecasting models, the information gathered helps analysts make statements about real outcomes which haven’t yet come to pass. The model can then help identify what might influence these variables. An Actuary, Financial Analyst, or Risk Analyst may use a: Merger Model (M&A) – This model is most often used in investment banking and corporate development. Think mergers and acquisitions. After all, someone has to decide the value of each company, then the basis of that value once they’re merged. Complexity varies widely in this model. Budget Model – This model is used in financial planning and analysis and helps set the budget for the coming year and the years to come. Focused heavily on a company’s income, these budgets are designed on a monthly or quarterly basis. Forecasting Model – This model is used to build a forecast of the budget model. Think of it as a building block as companies structure their budget and strategies using one or a combination of these models listed. Sometimes, the forecasting and budget model are combined. Sometimes they’re kept separate. These are only three of the ten types of models used in financial planning and analysis for any number of firms and industries. But, it’s the people behind the numbers who help businesses navigate what is best for their client, customer, and bottom line. An Actuary is just one title those interested in the mathematical and statistical applications for business might find interesting. And like many of those in the Data Science field and higher tech applications, this role is in high demand. Are you the one companies are looking for? If you’re interested in finance, modeling, statistics, 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 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. February 2019
“Life moves pretty fast. If you don't stop and look around once in a while, you could miss it,” quipped Ferris Bueller in the 1986 classic film Ferris Bueller’s Day Off. Today, over thirty years later, fast barely scratches the surface. Companies such as Netflix, Uber, AirBnB, and Google have redefined markets, and strongly influence how we travel, explore, shop, and communicate. Using predictive modeling, behavioral analysis, and advanced analytics tools, these companies, and others like them can learn and disseminate insights into consumer behavior and respond as needed. Yes, life does move pretty fast in the digital age. Yet, as much as we’re connected online, we still need to connect in person from time to time. It’s this integration which is driving tomorrow’s marketing strategies and recruitment efforts. After all, what is job searching, but marketing yourself? And to that end, what is marketing, but expert presentation? As we round out the year and look to the next, let’s take a look at what 2019 has in store: Be Human With the rise of AI, machine learning, and automation, it can feel as though we’ve crossed a threshold into another world. But, we are still human and so want to interact as humans. People put their trust in brands they know and respect. Ultimately, they want and need helpful and relevant information that they can connect with. Be Helpful and Authentic Trolls disband. Consumers and candidates look to their peers, editorial sites, and reviews to make more informed decisions. Think Glassdoor and Yelp and add a personal touch. By building and maintaining relationships, whilst offering help whenever possible, brands can earn more consumer trust. If You’re Job Searching, Consider this: Virtual Reality (VR) and video submissions are starting to be used to assess candidate hard and soft skills. In the video, how you present yourself, act, and speak will weigh just as heavily as how well you perform tasks. Tell Your Story Every individual – candidate or consumer - is more than the paper they’re written on or the video in which they’re seen; there is a story behind who we are and how we got to this place. Hiring managers want to hear candidate’s stories. Both humans and ATS are able to sense personality through story. Marketers have been and will continue to tell stories about their products to build rapport and create an emotional connection to a brand. Both offer insights into the individual. Creativity, not Conformity is Key Find new ways to engage your audience. Consider integrated campaigns and get creative. What are your competitors doing? What could you do differently to stand out? Leverage Your Online Tools Today’s world is integrated and proactive. Use the internet and the tools it provides to leverage your brand such as your website, portfolios, and social media. The way to communicate with candidates and consumers may have changed, but the necessity to do so hasn’t. We want to hear from you. If you’re interested in data and analytics, we may have a role for you. 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 email@example.com. For our Mid-West and East Coast Teams, call (212) 796 6070 or send an email to firstname.lastname@example.org.
01. November 2018
Millennium Park. The Chicago Bean. Wrigley Field. Windy City. Second City. Chicago is known and named for many things, and soon it’s emergence as an international hub for innovation will join the ranks. Considered one of the best places in the country for tech jobs growth, the Midwest pragmatism of Chicago offers the best of both worlds –a small-town feel in a big city, and a culture of innovation. With numerous tech giants, such as Salesforce, Google and Orbitz, already in place, Chicago is now leading digital transformation of the healthcare industry. A city that prides itself on attracting no-nonsense leaders, and built around a culture of hard work, dedication, and a motivation for disruption, it is the natural location for the data-led problem solving required to revolutionize healthcare in the US. AI As A Partner In HealthCare The American health care system is an unwieldy tangle of structures and processes, but with the help of technologies such as Electronic Health Records (HER), digitized machines, and now AI, the focus is evolving to place a greater emphasis on the end user. Whether they be a doctor, clinician, or patient, the goal is the same – to provide better care; faster. However, because of AI’s use of machine learning and NLP, around eighty percent of health executives believe this technology is advancing faster than its adoption. As these abilities evolve, leaders need to ensure that patient data is secure, and they are transparent about how it is being used. More than a technological tool, AI is now a part of the healthcare workforce. Working as collaborator, trusted advisor, and coworker, it will soon have as much influence as the people putting it to use. It is opening virtual borders using algorithms to diagnose patient wounds via smartphone, allowing remote monitoring of elderly patients, and helping to digitally verify a patient’s insurance information – no more form duplication or being asked the same questions over and over again. Insights afforded by AI and the tech industry can help doctors and caretakers make more informed decisions that could mean the difference between life and death, whilst also blurring the lines between business and personal. This is where extended reality (XR) comes in. XR technologies provide a bridge to connect people, places, and information, uniting the physical and digital worlds. Enabling a consultation with an elderly patient in a rural setting, a nurse to use a vein finder to insert an IV on the first try, or a surgical resident to practice surgery in a virtual setting at home, the possibilities are endless - intelligent tech can be used to deliver informed, efficient, and personalized care. Insights For End-User Engagement Over eighty percent of health executives worry their organizations are not prepared for the ramifications of these technological advancements. However, being able to explain their decisions based on AI information can be critical, and the need to ensure trust, safety, and compliance is paramount for success. If the digital transformation of creative health systems is able to engage the end user of the technology properly, then its impact will be far greater and its adoption inevitable . If you’re a pragmatic, problem-solver who’s interested how data can evolve the healthcare industry, we may have a role for you. A globally recognized health organization is searching for a Director Data Analytics & Strategy in Chicago. You’ll help to drive data strategy within the organization, define best practices, evaluate programs, build insight roadmaps for customer data insights, and more. For more information on this role or to explore wider opportunities.
04. July 2018
Did you know New York’s Wall Street, a bastion of financial institutions, investment banks, brokerage firms and more was once an actual wall built by the Dutch to repel an English invasion? Though images of skyscrapers or movie scenes from Wall Street and The Wolf of Wall Street may flash in your mind when you think of it, the world of traditional finance has changed.FinTech businesses– a merging of finance and technology – and Challenger banks are challenging the establishment – Tier 1 banking. In an industry in which traditional banking is facing a shakeup of epic proportions from Challenger banks, finance executives increasingly turn to quantitative analysts for help. Today’s analysts want to be more invested, to make a difference and take end-to-end ownership of Model Development/Credit Strategy projects.What is a Quantitative Analyst?Quantitative analysts help financial firms make decisions about risk, pricing, and invests. But, their ultimate goal is to maximize profits – whether that be by reducing risk or generating profits – using complex mathematical models to inform business decisions.Much like the word “tech” has infiltrated other industries – advertising, marketing, retail, insurance, and so on – and the need to offer both technical (hard) and business (soft) skills remains. These analysts must be able to apply scientific methods to approach data from all angles. They must also be able to translate and interpret the information into actionable insights for their firms.Get on the Fast TrackAccording to the Bureau of Labor Statistics (BLS), the financial analyst category (inclusive of quantitative analysts) is expected to grow 16% from 2012 to 2022 making it the fastest occupation on average. Demand is high and rising which makes competition extreme for quantitative analyst roles. Below are a few ways, you can get a leg up on the competition.Check out Michael Halls-Moore, the founder of QuantStart.com, and his Self-Study Plan for Becoming a Quantitative Analyst.#Be able to think for yourself and question everything. Look for the not-so-obvious answers.Don’t get stuck in conventional models and explore new paths. Get creative.Leave your MBA at the door. Many firms are more interested in those with a scientific background – engineering, computer science, math, or physics (natural sciences).Focus programming language studies on Python, R, and C++.Attend an event at the Wall Street Technology Association (WSTA®) created to provide opportunities to learn from and connect with other finance professionals. This year they’re launching an Innovation Showcase at its annual Summer Social on June 13. This event will showcase leading-edge technology solutions and a chance to network with other colleagues in the industry. Tickets are sold out but heads up for next year. Show Me the MoneyIf you’re a master mathematician, statistician, financier, or economist, Wall Street institutions will always need Quantitative Analysts to measure risk, to analyze, and to generate profits. After all, at nearly 30% above the national average, Wall Street is where the money is.If you’re looking for a new challenge and want get your foot in the door at a FinTech start up looking to shake up the nonprime market, we have a role for you. We’re hiring for a Lead Data Scientist to take the reins to develop, deploy, and maintain a credit-based model from scratch to enable under-served and emerging markets around the world. Contact Edward Flynn, Recruitment Consultant +1 212 796 6070 email@example.comCredit Risk not your thing? No worries, check out our current vacancies or contact our East Coast team to learn more.For the East Coast team please call 212-796-6070, or email firstname.lastname@example.org.
13. June 2018
New York advertising campaigns are legendary. Think Don Draper and the boys of Mad Men. But, from the 1960s to now? The times they are a changin’. In today’s world, advertising and technology have converged to keep up with the times. The power is in the hands of the customer and insight jobs help data professionals gain insight into customer’s needs, wants, and desires. The same is true of the job search and the customer is you. The candidate.As high tech as the process of jobsearching, recruiting, and hiring have become, don’t shed the basics just yet. Though creative design and the addition of embedded video play a role, the traditional resume in its simplicity is still viable. When employees remained with a company ten, twenty, or thirty years, the chronological resume was preferred. It showed stability and progression throughout a career. More often than not, three pieces of paper defined your job search – cover letter, resume, and reference list. If you really wanted to stand out, a handwritten thank you note delivered 24-48 hours after the interview.In today’s world of remote working, digital nomads, and global business, those three to four items remain as touchpoints. Your cover letter can be your video, highlighting the projects and achievements within your resume. The reference list of today falls somewhere between your online portfolio, your social media pages, as well as direct contact with past bosses and colleagues. And that thank you note? Whether emailed or hand-written, it closes the circle of the hunt giving you an opportunity to not only express thanks, but to enhance the interview with a new question, an answer to a question, or fill in a gap.There is a lot of competition today in the job search and even in the science, technology, engineering, and mechanical (STEM) focused industries where demand is high; it’s important to put your best foot forward.Touchpoints Offer InsightEach touchpoint, from cover letter to thank you note offers a hiring manager, recruitment, and staffing agencies a better understanding of their potential candidate.Cover LetterThe cover letter is an introduction. However, it isn’t all about you. A cover letter is written to show a company how you can help them solve their complex business problems as well as lets them know you’re interested in working with them versus simply needing a job.ResumeYour resume can either be chronological or functional. In today’s environment, it’s likely a mix of both. But, ultimately, your resume is what backs up your cover letter. It is a list of your education, work experience, skills, highlights, and achievements. With the added element of video, tell becomes show, giving a potential recruiter or hiring manager additional insight into your skills and capabilities.Reference ListLess than a decade ago, the reference list was simply a piece of paper which listed previous supervisors or colleagues who verified you could do what you said you could do. It also helped hiring managers, recruitment or staffing agencies gain an idea of who you were as a person so they could ascertain whether or not you might be a good cultural fit for the company. Today, that reference list can be a testimonials page on your website, your social media interactions, or simply a list of usually about three people (two professional references and one personal reference).Going the Extra MileGoing the extra mile used to simply mean to be sure to follow up with a thank you note after your interview. But, in today’s world of online profiles, social media pages, embedded video in your resume or online profile, and so on, adding depth and offering further insight can be daunting. Read on for how one candidate in the hunt for his dream job used his professional skills to land the job of his dreams.A recent article on LinkedIn, took the job search a step farther. A one-way plane ticket, a leap of faith, and putting his skills to use landed a candidate his dream job. Putting his technical skills to use and to automate his job search, he created an application. Not only did it help him manage his time, but it also gave him a project to use as example. In essence, he hacked the job search.Are you as comfortable flexing your analytics muscles as you are explaining your findings to stakeholders? We may have a role for you. We’re looking for a VP Advanced Analytics in the AdTech space within the heart of NYC to lead and drive a global tech giant’s efforts to predict customer behaviors across multiple channels.Harnham specializes in Junior and Senior Data and Analytics roles, check out our current vacancies or contact us to learn more.For the East Coast team please call 212-796-6070, or email email@example.com.
11. April 2018
Pepsi vs. Coke. Ford vs. Chevy. Apple vs. Amazon. Google vs. Yahoo. What drives our choices when it comes to products or services? Since the dawn of television, the option to choose has been up to the consumer. And as the digital age, social media, and omnichannel communication options entered the fore, the availability of product, service, and choice has grown exponentially. But, with so much opportunity to choose, how do marketers engage the consumer to buy their product or their service? Enter data. The more data you have on customers buying behaviors, the richer your insights to tailor your marketing efforts to that of your ideal customer.Let's Get PersonalIn the last year or so, marketing has taken momentous leaps forward to create deeply personal and individually targeted marketing programs. With the rise of artificial intelligence, deep machine learning and the breakdown of company silos to create a more connected experience, marketers and consumers began a different conversation. Deeper, richer insights offer companies better strategies to engage with and learn about their customer.Across the channels of social media, television, computer, smartphone, email marketing, direct mail marketing, and so on the consumer experience is engaged with both on and offline. Interactive and dynamic page layouts as well as AI-informed journey creation have allowed marketers to realize a strong ROI for their efforts. Customers want to be involved, engaged, and even polls and surveys allow them the opportunity to help their favorite companies improve their product and experience or bad experiences can be dealt with in real-time. As trends evolve, insights in marketing will steadily grow the personalized consumer experience with more targeted strategies with the assistance of strategic analysis. It Takes a VillageOnce fully on the shoulders of marketers alone to deliver an excellent consumer experience, companies now will integrate departments. Organizational structures will facilitate cross-functional collaboration and co-innovation expanding their teams beyond marketing communications, sales teams, and customer or user-experience teams. AI will be more integrated among teams as brands turn toward AI to understand customer behavior, predict engagement, as well as discover new audiences. Brand success will be measured using technology to help deliver relevant marketing experiences to consumers. Real-time interaction will allow them to listen to consumer's needs and respond in a timely manner. Those that embrace integrated teams, AI, KPIs, and technology will have a competitive advantage against those who do not. On the Move - Go MobileIt's estimated 30 percent of the population devotes their time to media communication and consumption via their mobile phone. Knowing this, brands have already begun to shift from quantity of messages to quality-targeted, curated messages. The power to choose in the palm of your hand. Adobe predicts machines will start making strategic marketing decisions. In other words, software will analyze data to build segments, create custom copy, and start and stop campaigns, but they'll still need someone to not only make sense of the data to incorporate into marketing strategies and be translated to business executives for better informed decision making. Loyalty gained through marketing efforts that are specifically targeted with advances in AI and behavioral marketing can help to cement a healthy bottom line. When buyers tell you what they want, you can't go wrong.Measure Twice, Cut OnceWhether you're laying carpet, sewing clothes, or baking, the adage of measure twice, cut once carries through to data and planning. It is all a process and by taking careful measurements, you can be more effective in your use of data. Often, we need data to ask the right questions. But, how do you know what is the right question to ask?One way is to use process metrics. These metrics can help to understand the best questions to ask through reverse engineering, making small adjustments as needed, or even further diagnose any issues that may arise during the process. From here, a process unfolds and feeds into a well-defined reporting structure. Pre-determined checkpoints for analyzing and regularly reporting results can help to formulate - you're still measuring here - the right question to ask. When you "cut to the chase" and know the right question to ask, you'll get more informed feedback and perhaps gain insights you didn't even expect.Constantly compare current and past performance, collaborate with your team, set industry-specific benchmarks and identify areas of strength and improvement. Developing and executing a measurement framework will allow you to more effectively implement your strategy. The resulting insights from data analytics can be a powerful tool for informed business decisions. But, it's best when included in real-world insight causation. That "right" question just may be "the question to propel your marketing efforts forward using insights, AI, and integrated teams. Data both qualitative and quantitative helps understanding of motivation and is a critical component of measurement framework. If you're interested in optimizing the customer experience and are interested in marketing analytics, we may have the role for you. One of our clients, a global marketing consultancy, is hiring for an Associate Director, Strategic Analysis. For more information about this role, contact our East Coast team. Or check out our current vacancies and let us help you find the perfect role for you.For the East Coast and Mid-West teams please call 212-796-6070, or email firstname.lastname@example.org.For the West Coast team call 415-614-4999 or email email@example.com.
07. March 2018