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.
2020 was an unprecedented year for shifting businesses online. Technology, never quite in the background, arrived center stage to help drive transformation in a variety of industries. Many businesses were forced to change their processes, how they interacted with their employees, customers, and with each other. One of these major shifts was in Advanced Analytics and Insight. Stemming from a Marketing perspective which had specific deliverables of demographics, location, and consumer histories, advancements found a place in working with unstructured Data. Working in tandem with these new analytical insights, artificial intelligence brought learning, problem-solving, planning, and other naturally human behaviors to life. This includes in the creative fields, not just in traditional industries like Finance or Retail. In a study conducted by Forrester on behalf of Intel, though most businesses know Analytics can drive their business forward, less than half are taking advantage of these transformational technologies. Below are a few ways Advanced Analytics can drive business forward. 1. Decision Science and the CDO Roles Will Grow In a seemingly counterintuitive measure, while most businesses were cutting back in IT, Data and Analytics budgets were expanded. As the Chief Data Officer and Decision Science roles increase in importance, businesses who know the value of their Data can derive actionable insights and business decisions from these executive level communicators. 2. Access to a variety of Data Sources Will Help to Streamline Business Operations With most businesses operating strictly online or in a hybrid ecosystem, optimization of processes is key. In the ever-changing market systems, buyer behaviors and the consumer journey will increase dependency on Data and Analytics as businesses seek to meet consumer demand. Offering bespoke solutions and coordinating such Data sources as chatbots and call centers, businesses will have the opportunity to create a seamless system as they adopt and implement technologies such as Advanced Analytics and AI. In the right mindset, these practices can also drive partnerships within their ecosystems from Data Science to technology vendors with AI capabilities. 3. Sharpening Focus on Measurable Projects to Increase ROI Rather than rely on third parties, Data will become part of the business offering value in their operations. It will drive how they operate, deliver, and understand the needs of their consumer. Owning and managing their own Data will provide unique insights they may not have been aware of before. Sharpening their focus to get a good return on their analytics investment, businesses will broaden their ecosystem. Seeing the bigger picture, businesses will also want to access more specific insights that drive actionable answers to their questions. 4. Machine Learning, NLP, and Domain Expertise Can Help Scale Data Modelling As AI, Advanced Analytics, NLP, and Machine Learning platforms come into full swing and in combination, new Data Modelling opportunities can increase insight. Automated processes of Data classifications will drive scale increasing both the amount of Data and a granular level of detail to be extracted. The specialization of these Data platforms will only grow in importance. In our always-on, always on demand world, the need for Advanced Analytics professionals and a variety of posts in the Data profession, businesses will expect strong domain knowledge. They’ll be looking for professionals and platforms which can help them understand specific use cases. Rather than just simple demographics and birds-eye views of their consumers, they’ll want to drill down to not only what they can provide now in terms of goods and services, but anticipate what consumers will want and need for the future. In the last year, we’ve absorbed a lot of information, and have struggled to distill it in actionable insights. But, if you’re interested in Marketing and Insight, and would like to shift into Advanced Analytics and Insight, we may have a role for you. Not your bag, but interested in Life Sciences, Decision Science, Machine Learning, or Robotics just to name a few, Harnham may have a role for you. 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 firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
21. January 2021
From Alexandra Ocasio-Cortez and Ilhan Omar’s Twitch play Among Us to Fortnite helping kids get into college, the mobile gaming industry has leapt into the new decade with gusto. It doesn’t hurt to have a few well-known names behind it, too. But it’s what AOC and Oman accomplished -normalcy - that begs the question. Could mobile gaming help us solve real world problems? A Cultural Beginning Cultural institutions, such as museums, have had a rough go of it this year. But innovation, creativity, and collaboration have come together to offer opportunities to get a bird’s eye view of the art world. Whether you play Occupy White Walls to create your own gallery bring real art into your gaming world through the Getty Museum and Nintendo’s Animal Crossing collaboration. Just a few ways these could be jumping off points to discussion for problem-solving include: Opportunities abound to host audiences from around the world without a head count capA chat function to discuss what you see, what you like, what you don’t, and what you’d like to seeCultural institutions become more open allowing anyone and everyone into its virtual wallsPerhaps even simulations and to imagine what-if scenarios for the rest of usGames could host exhibitions such as the Monterey Bay Aquarium of California who’s partnered with Animal Crossing and a fossil expert form the Field Museum in Chicago who hosts virtual tours through Twitch Games give us the opportunity to imagine what’s possible. And these games are bringing real life events and activities straight to your fingertips in mobile gaming. Ad-Tech and Analytics are In the Game Since social distancing has become the norm, gaming has exploded. Once all the numbers are in, mobile game downloads are expected to see a nearly 40% increase in 2020 from 2019. No business who sees the potential here is standing by, the least of which is advertising. If you remember cable TV or maybe still have one, the free channels were often supported by commercials. In some television shows, products were given strategic placement. Okay, so it’s probably still happening today, but now we’re used to it. Skip ahead a few generations. Hello, Ready Player One fans, and advertisers have a new platform. Or at least, they’re working on it. There are still a few kinks to work out. Some game developers are designing games to help allow advertisers to fit seamlessly into games. The audience of one engagement of TV has moved to a community engagement of many in the gaming world. Over two and half billion people are gamers across demographics of age and location. Social media still has the highest ad buys from television, but gaming is quickly catching up. As advertisers and businesses get in the game, it’s estimated there will be a monumental shift in the collective. Games have always served as a device to teach. Chess and checkers teach strategy. Monopoly teaches business and banking. Life teaches us to follow different paths and see what happens (not so different from Second Life). So, what could games teach us now with its ever increasing role in bringing groups together for engagement, community, and discussion? What role will you play in the coming year? If you’re interested in Data & Analytics, Harnham may have a role for you. Check out our current vacancies or get in touch with one of our expert consultants to learn more. For our West Coast Team, contact us at (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
07. January 2021
You’ve dotted all the ‘Is’, crossed all the ‘Ts’. You’ve ensured your business priorities were aligned with your mission and objectives. But, how can you know if you’re on the right path, especially in light of today’s uncertainties. Your crystal ball may be in the cloud, but to find its clarity, you have to be asking the right questions. Below are three questions to consider moving forward. 1. How Collaborative Are We? As businesses shift online and teams expand globally, collaborative business intelligence streamlines decision-making. A combination of BI tools, software, and social technologies to inform, engage, analyze, and form insights of what customers want and need. This form of collaboration takes decision-making out of its siloes. Not unlike the Socratic method, collaborative business intelligence solves problems through shared information to find common ground. Using business intelligence software to provide opportunities for predictive modeling, visual analysis of data and business metrics, businesses analysts can interpret and inform, in a more efficient streamlined process. 2. How Secure is Our Data? Whether big business, small business, or medium business, no one is immune to cyberattacks. The ever- increasing rise of these attacks pinpoints just how important keeping data secure is for all businesses. Breaches cause not only monetary loss, but ultimately, consumer trust leading to more loss. The importance of Data security cannot be overstated. Now that a majority of businesses are making flexible and remote work options available, it’s imperative businesses work to keep data secure. Consumers today are much more concerned today about how and why their Data is used, and many may decline to offer it, not wanting to put themselves at risk of a possible cyberattack. 3. What’s the Best Platform to Drive Actionable Insights from Our Analytics? Much like the trend of collaborative BI, businesses are focused on combining business processes and workflows into one platform, so everyone has access to the same Data. It’s within these platforms, that businesses cannot only determine what action to take and implement those actions all in one place. Platforms become the hub of the wheel and the spokes are analytics of a particular industry, business, or department in which insights can be implemented. Some platforms on the move include Sisense and Sharepoint. Google Analytics Intelligence (GAI) might be the most well-known especially if you’re just getting started asking the right questions for your business. If you want insight into the state of your business, know any major consumer traffic changes, or want to know the probable conversion rate of web browsers to customers, GAI can help you get those answers. Because it uses machine learning to help, it’s important to know not necessarily what questions to ask, but how to ask them. How to Ask a Computer the Right Questions If you’ve been working in a collaborative BI team and asking each other questions based on the data you’ve collected, it may be a bit of a mindset shift for asking questions of a computer. So, how you phrase your question, what you want to know, and how you ask may require a bit of thought to find the answers you’re looking for. Below are a few guidelines to consider when posing the questions.Follow the TrendIf you want to know what’s trending in your business, you might ask: How many products were sold last week?How many customers did I have today?Where are my customers located?What time were the most customers shopping? Which is Best? When you want to know what product is selling the most and through which means. Follow the performance. These questions might include: Which channel converted the most customers?Which product sold the most? Which product sold the least?Which hour was best for customer traffic? Compare and Contrast These are questions or commands that enable you to compare two sets of data side by side, such as how your business performed week to week, day to day, or year to year. While most questions begin with ‘which’ or ‘how’, the compare and contrast questions can get a bit more complex. In these questions, you begin with what you want to know such as conversion rate, revenue shares, traffic, or trend. As this year comes to a close, what questions will you ask of yourself? Are you ready for a change? A new role? If you’re a business, what questions will you ask to move your company forward in the new year? If you’re interested in Big Data & Analytics, we may have a role for you. Check out our current opportunities 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 firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
23. December 2020
Black Friday, once reserved for the Friday after Thanksgiving, has a new lease on life. It’s not just one day a year. Now, it can be any day of the year. Why? Customers the world over appreciate the deals and discounts as they get ready for the holidays, and the insights gleaned from previous years help businesses determine what will sell best in the current year. Add in the rise of mobile marketing in which you can buy anything, anywhere, anytime, and more people working from home than ever before, and you have the recipe for Black Friday every day. Especially once the leaves begin to Fall and the holiday season comes knocking at our doors. Behind Advanced Analytics & Insights within the Data profession, there are a host of professions which together help to create the products and launch them. Who could imagine the science behind the sales? Five Important Roles Behind Advanced Analytics & Insights There’s a reason that Data professionals are no longer siloed and must work across and within departments. Data influences every decision within business today. So, having the right people on your team in the right roles can ensure your business thrives. Marketing Analyst Using a spoke-and-wheel analogy, the Marketing Analyst is the spoke. These are the professionals central to taking the information from their Campaign Analysts, Pricing Analysts, and Statistical Modelling experts to determine what will sell best and what price. In essence, their research and Data helps companies figure out ‘what the market will bear.’ Campaign Analyst Focused campaigns to a target market will find a Campaign Analyst understands consumer behaviors. Once the customer is understood – what they buy, when they buy, why and how they buy – can help analysts measure, review, and justify each campaign to justify ROI.Consumer Insights While the Campaign Analyst is focused on targeted campaigns to specific customers, the Consumer Insights Analyst helps businesses tailor their marketing strategies to meet the needs of those customers. All of them. Whether they’re part of a targeted marketing campaign or if they’re prospective clients ‘window shopping’ when they download a ‘free product or click on an email’. Understanding these consumers helps to convert from passing interest to the purchase of a product or service. Statistical Modelling Analyst Do you love puzzles? A jumble of pieces which need to be put together so everyone can see the full picture? Statistical Modelling are the jigsaw puzzle solvers of the Marketing department. These professionals pull together data from multiple sources and analyze the information to help form a clear picture of their ideal consumer. Toss in a bit of psychology – why customers do what they do and predict what they might do next – and your executives will understand the best way to distribute funds to grow their business. Pricing Analyst It seems simple enough. Determine how much it cost to produce a product or service and mark it up to make a profit, right? Not exactly. These days, calculating not only what it cost to make a product, any overhead to consider, and how much you need to mark it to make a profit is a complex prospect. Factor in what your competition is doing…on a global scale. Consider the fickle buying power of consumers – some days money flows and some days it’s reigned in tight. How do you determine the best price at the right time to ensure maximum profit while keeping pulse on spending patterns? Pricing Analysts take complex data, study customer spending habits, and conduct analyses on what the math says and what the impact might be. So, back to Black Friday sales. Taking what we know of the roles which help businesses set the tone for their marketing strategies, Black Friday every day makes sense. We’re home more. The lines between work and family life are blurred, but computers and phones are at our fingertips, and everyone delivers what we need right to our door. Why not get a jump on your holiday shopping? And once that’s done, you can focus on what your plans are for the future. Are you looking for a career change or just want to see what the market looks like within the Data professionals industry? There is plenty of information to be collected and analyzed. What role might you fill? If you’re looking for a role in Data & Analytics or are interested in Advanced Analytics & Insights, Harnham may have a role for you. 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 firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
12. November 2020