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 email@example.com. For our Mid-West and East Coast Teams call us at (212) 796-6070, or email firstname.lastname@example.org.
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 email@example.com.
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 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
Remember the bicycles piled in the yard that showed where your friends were? What about the jingle of coins in your pocket as you headed to the arcade? Stranger Things may have recalled these distant memories, but what if you could still see bicycles piled against your neighbors’ door or listen to the jingle of coins as you played with your friends? This is Augmented Reality and its aim now is to get you off the couch, exercising, playing, and enjoying camaraderie. Ready, Player One? Five Trends to Watch As we navigate the next stage of our virtual and augmented realities, there are a few trends to watch. AR, VR, and AI Will “See” Objects - Augmented Reality (AR), combined with Artificial Intelligence (AI) and Computer Vision, will help computers “see” and label what’s being seen. Machine Learning will ramp up to offer increasingly correct identification of objects whether it’s the dinosaur exhibit at the natural history museum or connects the dots for stargazing in a planetarium.VR Gets More “Real” for the Mainstream – In other words, developers are able to offer more immersive experiences. New developments in hardware technology, such as eyeball tracking and field-of-view help power the idea users can interact and explore less like a video game and more like real-life.AR Can Help Keep Your Eyes on the Road – Remember KIT? The car who talked, could self-diagnose, and navigated with barely a hand on the wheel? It’s not so far-fetched now as it once seemed as vehicle manufacturers increasingly opt for voice assistants and some begin to offer graphics’ overlay of footage around the car. Others go a step farther, projecting data onto the car windshield, assisting with navigation, lane identification, and potential hazards along the way.AR-Based Entertainment Branches Out – No more piled high pizza boxes, sitting in the dark of your parent’s basement. AR today is about getting moving; physical activity and balancing tech life with real life. Toys and Gaming companies are on the bandwagon to get families moving. Location-based gaming has grown by leaps and bounds as has interactive projection-based technology. Some applications can transform your immediate environment into an immersive gaming experience while others can transform playgrounds which, when unlocked by parents, can offer choose-your-own adventure types of projects to complete. Enter whole being of mind, body, spirit. And we’ve barely scratched the surface.Worldbuilding, Personalized Character Building, and Augmented Board Games – Each of these are about bridging the gap between the physical and digital world and is most changed when it comes to board games. As exciting as these trends are, it’s not all fun and games when it comes to the next advances of AR. This technology is also being used to help discover early onset of Alzheimer’s and most recently has found its way into the operating room. Or at least, it will be soon as companies look to bring the AR and VR technologies into the OR. Training and Teaching with AR AR & VR technologies are being used for teaching and training in just about every industry it seems. From Walmart to the Military, business is seeing the benefits of allowing individuals to practice their roles without the associated real-world risks. But when it comes to the healthcare industry, this is where AR begins to really shine. What if we could predict not only detect early onset dementia, but catch the onset of mental illness as well? One company, recently cleared by the FDA, is working toward just that, with the specific goal of predicting Alzheimer’s early. With an estimated cost of around $290 billion which could rise to over $1 Trillion by 2050, their claims of 94% accuracy in detection 6 to 10 years early is good news for families. Memories are how we share our stories and no family wants to miss theirs. Could technology as disparate as it once made us be bringing us closer together? With these latest, that just may be the case. So, whether you want to let out your inner child, practice a new skill without real-world ramifications, or simply know your memories will be with you for a lifetime, AR offers something for everyone. Every industry. Every business. It has infused our world and is breathing life back into our lives. Want to be the wizard behind the curtain, the Data Analyst to know what’s next, or the Data Engineer who builds the next great technological advance in the AR spectrum of services and capabilities? 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.
08. August 2019