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£35,000 - £45,000 + benefits
A leading player in the global gaming industry are looking for an enthusiastic Data Analyst to join their Business Intelligence team. This exciting role is ideal for someone passionate about gaming and digital entertainment, as it will grant exposure to dozens of high-quality games that have inspired billions of downloads worldwide.
With almost two decades in the digital gaming space, this company have earned an unrivalled place within their industry. Though it's safe to say their brand has become a household name, the company still boasts a relaxed and intimate working culture. As a cross-functional Data Analyst in the businesses key operational departments, you will gain exposure to the latest technologies, and work alongside some of the most talented analysts in this field.
As a Data Analyst in the company's BI function, you will be interacting with a variety of departments, including the User Acquisition team, Product team, Finance team and Product Marketing team. On a day to day basis, you can expect to be involved in tasks such as:
YOUR SKILLS AND EXPERIENCE
The successful Data Analyst will have:
HOW TO APPLY
Please register your interest by sending your CV to Georgina via the Apply link on this page
£50000 - £60000 per annum
SALESFORCE ENGINEER UP TO £60,000 LONDON Exciting and rapidly growing Fintech company looking for a Salesforce Engineer to be their go to for all things CRM.
£35000 - £45000 per annum + Additional Benefits
City of London, London
You have a unique opportunity to join a global household brand, known and loved by all!
£55000 - £65000 per annum
This leading marketing agency is looking for a CRM Manager to head up and lead the CRM/Strategy team.
£45000 - £55000 per annum
INSIGHTS CONSULANTS UP TO £55,000 LONDON World-leading consultancy is looking for Insights Consultants to join their commercial strategy division.
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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Marketing has been undergoing a fundamental change for some time. Elite marketers have been rethinking and reiterating their strategies, using increasingly sophisticated data. and this trend has been further accelerated by the pandemic. Consumer behaviour has changed significantly since the pandemic began. Between March and August 2020, 70 per cent of consumers tried new digital shopping channels. Such significant changes have rendered many existing data models invalid. Data-driven marketing offers new insights into consumer behaviour and can render huge impacts in refining and enhancing marketing strategies. So, why should you care about data-driven marketing? Offers better clarity about the target audience 67 per cent of lead marketers agree data-based decisions beat gut instinct. Data-driven marketing allows marketers to quickly filter through data and determine the most relevant and accurate action to take. With the right data, marketers can assess customer data to predict behaviours, identify buying patterns and spot emerging trends. Data-driven marketing can also reveal new channels and open up new avenues which organisations can use to engage with audiences and increase revenue. Increases revenue The last 18 months have been tough for businesses, yet through the use of data insight, marketing teams have been able to get ahead of emerging trends. Data-driven campaigns have pushed significant customer acquisition. Better insight into consumers and the channels they use enables organisations to improve their marketing strategy. Indeed, companies that deploy data-driven marketing are six times more likely to remain profitable year-over-year, and 78 per cent of organisations agree that data-driven marketing increases customer acquisition. Personalisation In the modern world, advertising is everywhere, and it is endless; consumers see it on their phone, their TV and even on their way to work. Without target advertising campaigns, organisations risk aggravating consumers. 74 per cent of customers already feel frustrated by seeing irrelevant content from brands. To stand out, marketing channels have become more complex. Marketers need to remain creative to capture consumers attention and data driven marketing can help achieve this. Data-driven marketing allows businesses to target specific demographics and user groups at an individual level. By targeting specific user groups at an individual level, marketers are able to use personalised marketing campaigns to build stronger and more meaningful connections with potential customers. With individual customer information, brands can segment a target market and ensure personalised messages are falling into the right place. Data-driven marketing is also able to identify potential customer triggers and create a holistic view of the target audience. This style of personalised marketing campaign makes for a more positive customer experience, and therefore represents excellent return on investment. Data has the potential to become an incredibly valuable resource in marketing. Data soothes the pain points which many marketers face on a day-to-day basis, and help teams to refine, enhance and improve strategy. In a post-pandemic world, data-driven marketing will undoubtedly be essential. To stay competitive, internal marketing and insight teams need to start taking notice of data-driven marketing. Here at Harnham, we understand the importance of data-driven marketing to determined campaigns and guide decisions. So, if you’re looking for your next opportunity or to build your Marketing & Insights team, we can help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.
10. June 2021
Businesses are recognizing the increasing importance of data experts to help the company grow. As a result, the hiring demand for Data Scientists and Data Management Analysts has grown by 46% since 2019. This projection will only continue to rise in the next few years. So if you’re planning to become a data analyst or a data scientist, then here’s what you need to know. Data Analytics and Data Science: What's the Difference? Data Analysts and Data Scientists are both proficient in statistics and experienced in using database management systems. However, the key differences between these two professions revolve around their purpose for using the data. The Role of a Data Analyst These professionals organize and examine structured data to create solutions that will drive a business’ growth. They are tasked with studying sets of data using various tools, such as Excel and SQL, to uncover insights and trends that will serve as an answer to certain queries. For example, they can provide data-driven answers that can explain your marketing campaigns’ conversion rates or improve the logistics of your products. Then, they present these findings to concerned individuals and departments so they can formulate strategies that would boost revenue, efficiency, and other improvements. The Role of a Data Scientist Data Scientists are required to use their mathematical and programming skills to build statistical models that can provide solutions for a company’s potential problems. These professionals handle huge sets of both structured and unstructured data and prepare these for processing and analysis. They have to be very proficient in programming to utilize Predictive Analytics, statistics, and Machine Learning in unearthing meaningful insights from all the collected data. Their multidisciplinary approach towards data helps them draw conclusions that are valuable for specific business needs and goals. Career Paths for Aspiring Data Analysts Businesses, governments, and other institutions are on the search for individuals who are qualified in interpreting and communicating data. Data analysts are often offered huge salaries and great work benefits because the demand is so high and yet, the pool of talent is very limited. You can become qualified for a wide array of careers in data analytics through a comprehensive master’s degree program that will teach you how to interpret data and present actionable insights. These careers span from digital marketers to quantitative analysts. Graduates can work in governments and insurance companies as financial analysts who are in charge of assessing financial statements and economic trends to boost profit. On the other hand, you can also work as a marketing analyst whose responsibilities involve monitoring sales venues and evaluating consumer data. Their salaries range from $62,000 (Insight Analysts) to as much as $225,000 (highly paid Customer Analysts). Career Paths for Aspiring Data Scientists Data Scientists are experts in statistical analysis and in programming languages, such as Python and R. Thus, the average starting salary for professionals in this field is around $100,000 per year. Data Scientists would need to earn a bachelor’s degree and a master’s degree in computer science so that they would be adept at using complex software programs that are necessary for the position. If you’re more interested in software development, then you can work as a data engineer. These professionals create infrastructures that can gather and store data that analysts and other scientists may need to use. Data modellers, on the other hand, use techniques and databases to design and document data architecture. You can become a great asset to top companies in the US by pursuing a degree and a career in data analytics or data science. In this digital age, you can only expect that the demand for these positions would rise as data becomes increasingly important in driving business growth. Written by Jena Burner for harnham.com
28. May 2021