Marketing Analyst
Leicester, Leicestershire / £28000 - £32000
INFO
£28000 - £32000
LOCATION
Leicester, Leicestershire
Permanent
MARKETING ANALYST
LEICESTERSHIRE
£32,000
This opportunity is perfect for an analyst with 18-36 months' experience to make an impact at a reputable consultancy firm
THE COMPANY
The company are an agency working alongside many renowned retail companies, helping them understand business performance and improve their campaigns.
THE ROLE
The day to day will involve:
- Data analysis, looking into campaigns
- Providing actionable insights for a range of stakeholders
- Addressing customer data queries
- Analysing segmentation, retention and customer churn
SKILLS AND EXPERIENCE
You will need:
- Ideally 18 months' minimum experience as an analyst
- Some SQL experience
- Adaptability
- Experience with marketing analytics
BENEFITS
- 1 day a week required on site
- Progression and learning opportunities
- Exposure to exciting range of clients
HOW TO APPLY
Apply by sending your CV to Harry Robertson via the link
THIS ROLE WILL NOT OFFER SPONSORSHIP
CONTACT
Harry Robertson
Recruitment Consultant
SIMILAR
JOB RESULTS
Data Analytics vs. Data Science: Which Should You Pursue? | Harnham Recruitment post
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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 AnalystThese 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 ScientistData 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 AnalystsBusinesses, 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 ScientistsData 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. Browse our fantastic data science jobs and data analyst jobs today. Written by Jena Burner for harnham.com
Why Should You Care About Data-Driven Marketing? | Harnham Recruitment post
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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.PersonalisationIn 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 marketing and insights jobs or get in touch with one of our expert consultants to find out more.
Is Product Analytics the new Digital Analytics? | Harnham Recruitment post
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Following on from our exploration of what Digital Analytics is, and the exploration specifically of hiring Digital Insights Analysts in the North of England and Midlands, we wanted to take a look at Product Analytics, and how it differs from the standard Digital Analyst role.To help investigate the importance of Product Analytics in the current market, we have interviewed Nicky Tran, a Product Analyst at Virgin Media (Manchester).What Is A Product Analyst?In simple terms, a Product Analyst ‘’looks at the different products a company has, and then you are identifying which areas of the product can be improved or which areas can be optimised.” While Digital Analytics can inform the product lifecycle, the interesting aspect to this role is, that unlike a traditional Web Analyst role, it is more of a hybrid role. Nicky emphasised that it is ‘’an upcoming sector within the analytics community’’, providing an overlap between Digital Analytics, Customer Analytics and Data Science.The key skills and tools for this role are advanced SQL, Google Analytics, and AB testing. So how does this skillset differ from a traditional Web Analyst? Nicky suggests that while the core requirements are that of a Web Analyst, with a web role you would essentially just be using Google Analytics Data. However, as a Product Analyst, you would be using advanced SQL to access other data bases, and pull data from models, and therefore, “you are combining two sets of data to get a more insightful look”.Why Is Product Analytics Important, And Why Are They Now Becoming More Prominent On The Market?Similar to Digital Analytics roles, it is clear that with the impending digital transformation, companies are becoming increasingly data-led, especially with regards to their digital platforms (and products).As a result of the pandemic, the digital space is so much more important than ever before. Therefore, to stay competitive, and to really understand the products from the consumer perspective, companies have to provide the most personalised customer experiences to acquire and retain their consumers. As Nicky mentions, ‘It is definitely worth making an ‘inventory’ to see how to promote what you have – it is about personalising the customer journey’.What are employers looking for in a Product Analytics candidate?Product Analytics are great due to their hybridity. In the current market, where there are numerous jobs, and few candidates, a Product Analyst (technically strong in three areas) is a highly sought-after rarity.Businesses are becoming increasingly invested in Product Analytics and having a Product team that works alongside the Digital team can be beneficial; especially when companies need to stay competitive.What are Candidates looking for? Understanding the differences between a Digital Analyst, and a Product Analyst is key to understanding what a candidate is looking for. Nicky suggested that this Product Analyst role enabled her to be the ‘bridge’ between areas.So how does the future of a Product Analyst differ to that of the route of a Digital Analyst? For Nicky, this is one of the most important factors to being a Digital Analyst, as she has the option to go down the Data Science route in the future should she wish. The more technical skills she has as a Product Analyst means she is building up experience across different areas of Data & Analytics, giving her a slightly different career path, should she want to go down a more technical route.Why Choose A Product Analyst Role?“If you come from a technical background – maths, physics, computer science – and are interested in how the numbers are crunching, it is worth going into Product Analytics, as it needs a logical mathematics brain, to be able to convert it into a way which is useful to stakeholders.”From speaking to Nicky, it is clear that Product Analytics is an up-and-coming role that people don’t know enough about it. Therefore, if you are curious about Product Analytics, or any of the different roles the market has to offer at the moment, as an employer looking for help hiring, or a candidate actively or passively looking for work, Harnham can help. Take a look at our latest Product Analytics jobs, or get in touch for more information on how we can support your hiring needs.
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