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 News & Blogs portal or check out our recent posts below.
Writing a new resume can often to be a more challenging task than you initially think. Accurately portraying your skills, breadth of experience and knowledge within a few short pages is a tough task. There are a number of online guides about how to write a good resume, along with a variety of opinions on what works; questions around the latest style, layout and how many pages it should be, make this a very subjective topic.
We have written the guide below to give you some useful tips around writing your resume, based on feedback from employers about what they expect to see on a Marketing Analytics & Insight professional’s resume. Consider this quote from one of our clients:
“…the point of having an analyst in a business is to accurately condense and analyze large volumes of data and draw out the relevant pieces of information that can have an impact on a business. An analyst should be able to sift through irrelevant information and draw everything together to highlight relevant information in a compelling way. If an analyst isn’t able to have the same approach with their resume and draw out the information that is relevant and discard the rest, it doesn’t give a good impression or an indicator that they will be an effective analyst.”
So how do you go about making sure that your resume does give the right impression and get you that interview opportunity?
A good structure should typically follow this order:
However, don’t be afraid to deviate from this structure in order to demonstrate your relevance for a particular position more effectively. If you are a recent graduate, with a relevant mathematical degree, but little or no relevant employment history, you are likely to have more success by highlighting your relevant academic background above your employment history.
Use a clear layout and include headings to separate each of
the above sections. Within each section use bullet points to define your role,
responsibilities and skills rather than long paragraphs full of commas. This
will help to make the content far easier to scan for key information and is
more likely to grab the attention of the employer.
Keep the whole document relatively short, 2-3 pages maximum.
Pay attention to detail and spelling: many of our clients reject applications based on this – remember our client quote! Ensure all information is accurate; dates, company names, skills, technologies used and don’t be shy of Spell Check.
Make sure all formatting is consistent: we recommend you use the same font throughout the document and utilize bold to highlight subsections and headings. Typically, fonts such as Arial or Times New Roman are acceptable.
The content should be clear and concise, but with enough information to give the employer a solid understanding of what your role entails and what your responsibilities are.
It is useful to give a brief introduction to the company and / or team to add context, but essentially the employer is going to be more interested in hearing about your skills and responsibilities and not those of the team in general.
With regards to the data sets, statistical tools and techniques you typically employ, specific information here is also key. For example;
You highlight that you use SAS in your current role. Try to elaborate on this i.e. Are you using Enterprise Guide, Macro, Base? Do you write your own code or employ more drag and drop techniques?
You also work with propensity models. Did you build the model or are you working on existing models and validation? Do also have experience of clustering, segmentation, regression or similar techniques?
You work with a range of data sets. What kind of data is it; Transactional, campaign? Make sure you explain. It’s also important to remember that large data sets are typically appealing to companies; therefore ensure you refer to the size of the data sets you’ve been exposed to. For example, how many rows of data do you typically deal with, or how many campaigns are you used to running each month?
Adding these snippets of key information won’t take up a lot of valuable space, but will help give your prospective employer a more detailed understanding of your skills and level of competence, ultimately, helping boost your chance of securing an interview.
Lastly, tailor your resume for each role you are applying for:
Carefully read the job adverts and descriptions and highlight relevant pieces of information to showcase your skills and experience that most suited to what the company are looking for.
Likewise, amend your personal statement for the same reason. Don’t be the person who applies for a Customer Insight Analyst position with a Retail & FMCG consultancy when your personal statement still says you are looking for a Marketing based role in a Client side Financial Services organization.
Remember, resume's are meant to be factual but they are also a tool to sell yourself, so make the content interesting, relevant and engaging – this could be the only opportunity you have to convince an organization that you are someone they want to interview and help you stand out from the other applications they receive.
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 News & Blogs portal or check out our recent posts below.
With summer in full swing, many of us are either planning our vacations, or have already enjoyed them and are thinking of where to go next. Regardless of location, we’re all looking for the same thing; a great experience to remember for years to come. No matter how exciting our trip, we all want our plans to run smoothly and, luckily, AI is here to help. Today we have more options and more buying power than ever before. The ease with which we can search and select via our phones has kept businesses on their toes and driven them to look beyond traditional service. By incorporating AI, the hospitality sector is implementing new ways to serve their customers more easily and efficiently. Fueling the AI Hospitality Experience The hospitality industry has a notoriously high turnover rate, relying heavily on seasonal workers, and those early in their careers. But, with AI, digital analysis, and predictive analytics entering the industry, new technologies are providing alternative customer service solutions: Predictive Analysis Automation Smart Domotics Advertising Predictive Analysis As ‘the customer is always right’, the best way to create a smooth and memorable experience is to know what they want and then give it to them. Given that difficulties can arise when there are too few staff for the number of guests, there is a need to be proactive when planning, in order to be reactive on the day. Utilizing Machine Learning, facilities can predict staffing and supply needs, planning for a more streamlined and, ultimately, better service. Automation Automating repetitive operations such as check-ins and check-outs, room assignments, and housekeeping deliveries gives staff more time to focus on the customer. As small and large hospitality businesses compete with the growing success of home sharing platforms, such as AirBnB, AI can give traditional facilities a fresh edge. In addition, rapid and efficient responses lead to greater customer satisfaction which, in turn, leads to a healthier bottom line. Smart Domotics More and more hotels are looking to the Internet of Things and Linked Technologies as they evolve into ‘smart’ destinations. With devices that can measure everything from room temperature to customer preferences, facilities can adapt in order to create an optimal environment. Furthermore, interaction with these ‘smart’ technologies can help hotels evolve over time, placing a greater emphasis on elements that prove to be the most popular with customers. Advertising From targeted Social Media campaigns to personalized gifts on arrival, Analytics can enhance the entire customer experience. When booking, users can engage with Chatbots 24/7, adding an element of humanity to the online booking experience. When customers engage with resort apps and website, AI technologies cross-check their interactions and adapt their recommendations accordingly. With more people travelling than ever, the effort of keeping up with travelers the world over, night and day, is shifting to AI, thereby allowing the workforce more freedom to tend to customer needs. AI in the Cloud The world of digital is transforming our lives, and the rise of Cloud technologies has taken digital analysis to the next level. With the advancements in AI, the hotel industry needs professionals who can create apps, collect and translate data, and, of course, build rigid infrastructures. If you want to help hotel owners get a leg up on their competition and have a hand in creating a memorable travel experience for someone, we may have a role for you. To learn more, check out our current vacancies. For the West Coast team call us at (415) 614-4999 or email us at firstname.lastname@example.org. For our Mid-West and East Coast Teams call us at (212) 796-6070, or email email@example.com.
24. July 2018
Customers are more discerning than ever when it comes to where, how, and what they’re buying. With the rise of social media and video marketing, these real time decisions are creating real time insights. As trust declines in traditional media and advertising, it’s the Influencers who are now center stage. Combining stunning imagery and aspirational lifestyles, it is their sponsored posts that are informing an entire generation’s decisions, giving the fashion world invaluable insights regarding the future of retail. From lowering costs to highlighting the right talent, as well as offering insights into supply chain processes, social media is bringing another aspect to the customer journey. As the need for Data Scientists and Digital Analysts grows, so too does the need for those who can offer both technical AND soft skills. The demand for creative talent within Digital Analytics is growing. We’ve talked about how data teams are no longer siloed and are now integrated with marketing and sales teams, and the industries Big Data effects from the boardroom to the stockroom. Showing Your Creative Side Video marketing is king in 2018 and, if it can work for brands, it can work for you. As more and more people use their mobile phones to research key decisions, including when hiring, mobile video and broadcast-style content is one of the most effective ways of engaging your audience.We’ve already talked about how to boost your resume with video in a previous article, let’s quickly revisit two of our key points:Appearance: It takes less than ten seconds to make a first impression. Professional dress, a smile, and lighting are all important areas to help you set the stage for your video.Script: Working with a short script helps you stay on track and focus on key points. It also makes it easy for hiring managers or recruitment agencies to follow along. Whether your video is you talking to camera, or a slideshow of your work, it is important to cover these key points: Explain why you’re the best person for the job.Show how your skills and expertise can help them solve their problems. Use engagement metrics as evidence for your successes. Keep your video short. Anywhere from a 30-second elevator pitch to a 2-minute in-depth video. HOW AI Can Help When utilizing date to enhance a customer’s experience, it is crucial to maintain the essentials of customer service; be human, helpful, and relevant. We don’t want someone looking at a pair tennis shoes to be shown an image of stilettos. Thankfully, with the use of AI and predictive analytics, they’re likely be shown an image of tennis shirt or racquet they might want to purchase along with the shoes. AI continuously learns to upsell and add value. These days, we are a visual society, taking bite-sized moments of our day in video clips and imagery. Because of this, we’ve seen an increase in visual search engines using machine learning to search by images rather than keywords. This data, alongside what we can learn from Social, offers a unique look at what consumers are interested in. It is a valuable source of customer intelligence, and by applying it to a business’ challenges, we can leverage the information to influence and inform. What we learn can then help solve those challenges or offer feedback regarding product development. The number of people consuming fashion through social media is expected to reach 1.2 billion by 2020, with Instagram, Pinterest, and YouTube leading the way. Images help bring consumers into a brand’s story, particularly in the world of fashion. And as, virtual reality, augmented reality, and wearable tech allow for real time researching, sizing, and virtual trying-on of products, as well as instant feedback from friends, fans, and family, the industry needs to move faster than ever. Want to influence one of the fastest growing and spirited fashion brands and help drive global initiatives? We may have a role for you. We’re in search of a Director, Digital Analytics – Fashion Brand in San Francisco. Want to learn more or check out our current vacancies? For the West Coast team call us at (415) 614-4999 or email us at firstname.lastname@example.org.
13. July 2018
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 email@example.com. For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to firstname.lastname@example.org. 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 email@example.com.
30. May 2019
One of the latest technologies to emerge to disrupt an industry is Biotechnology. This industry is booming and is no longer confined to universities and research labs. These are the people who build drugs to combat diseases and are expected to comprise a quarter of the market by 2020, less than 6 months from now. So, what does that mean for HR? A Streak of Lightning Across the Life Sciences Biotechnology has grown at an impressive 5% across revenue streams, number of businesses, and number of employees. It is a lightning streak across the Life Sciences and shows no signs of slowing down. In a field expected to corner a quarter of the market as soon as next year, it’s important to have the right people in place. We already know there is a skills gap in the Data Science industry, but the predictions show it's time to upskill the current workforce. Companies will need people who have the right skills and can implement them into action. Technology has disrupted every industry and R&D is no different. This means work life is being redesigned as the Biotech industry demands not only technical and Life Science skills, but also more human skills. The challenge is ensuring businesses understand the impact these technologies will have now, and in the future. If they don’t act, their business could stagnate. It’s important executives see applications at work and implement the changes needed to “keep up with the Joneses” of the tech world. In other words, leaders must find a balance between rapidly advancing technologies and the human insight those technologies provide. Redesign Your Ideal Candidate While digital and analytical skills should be standard for just about any industry, there are other things to consider when interviewing. Hiring Managers, recruiters, and businesses over all, will also be looking for the following ImaginationCuriosityEmotional Intelligence You may not be a doctor exactly, but do still have to deal with people. Organizations will need employees who not only ask why, but take the steps to find the solution, and at the same time can navigate an emotionally charged project such any client-facing research when discussing cancer therapies, for example. Transferable Skills are Key If you pivot well and can learn and understand projects on a dime, then this is a good industry for you. If you’re a business and you want to scale up quickly, it may be best to upskill or reskill, your current employees. With talent scarce in the market, this may be the best solution for you. Building transferable skills, being flexible, and having a strong academic background will help, too. Companies actively working to skill their workforce to work with Machine Learning and Artificial Intelligence technologies are just a few of the trends coursing through the Biotech industry. Add to that the myriad researchers, corporations, and governments focused on combatting diseases using available technologies, and its expected growth could make it one of the most efficient and prosperous industries in the digital landscape. Making HR Data Work for You Businesses are using HR data to see how they can get a deeper understanding of employees as a whole. Are they overwhelmed? Do they need to rest? Do they need to be challenged? Are they bored? How can you, as a business, help them to enhance not only their performance, but that of your business. Finding exciting new recruitment channels Much like you know to go where your customers are, the same holds true today when you’re trying to fill a role. Focus your efforts are on where the talent is, don’t wait for them to come to you. And with the average recruitment process averaging 71 days, the name of the game is “don’t delay” for your perfect candidate may have already moved on to something else. Engaging and motivating staff Think of your employees as internal customers. Engage with them as you would any customer, and make your employee a partner in your vision. Now, it’s easier than ever to measure, improve, and boost employee satisfaction using available data and analytics options. Making learning and development more effective Learning has become a highly personal, adaptive tool offering course selections. Because online courses are so prevalent, it’s much easier for an employee to learn a new skill without time and expense away from the office. The digital transformation of this space shows how data can be used in corporate learning and professional development opportunities. This is where you’ll want to focus some of your energy should you need to upskill or reskill your employees to keep up with demand. Are you a business who knows you’re ready to scale up and hire a data professional? We have a strong candidate pool and may have just the person you need to fill your role. Are you a candidate looking for a role in big data and analytics? 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 firstname.lastname@example.org. For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to email@example.com.
05. June 2019