CV Tips

ARTICLE TOPIC

 

MARKET AREA

 
       
 CV tips for Marketing Analytics    Marketing & Insight  Marketing And Insight Logo
 CV tips for Credit Risk Analytics    Credit Risk  Credit Risk Logo
 Is there such thing as the 'perfect' CV?   All  Harnham Logo
     
     
       

Latest Jobs

Salary

£350 - £500 per day

Location

London

Description

This company is one of the leading retail banks in the UK which prides itself on its strong reputation.

Salary

£35000 - £40000 per annum + Benefits

Location

London

Description

Do you have experience with Digital or Media data? One the largest FMCG companies in the world are looking for a Data Analyst to join them in London!

Salary

£35000 - £40000 per annum + Benefits

Location

Hatfield, Hertfordshire

Description

Do you have experience in retail or ecommerce? The largest online grocery company in the world are looking for a Data Analyst to join them in Hatfield!

Salary

£60000 - £75000 per annum + competitive benefits package

Location

Northampton, Northamptonshire

Description

An opportunity at a Tier 1 Credit Lender who need candidates to lead from the front with the Credit Strategy solutions they need to enhance their products.

Salary

£60000 - £75000 per annum + competitive benefits package

Location

Milton Keynes, Buckinghamshire

Description

An opportunity at a Tier 1 Credit Lender who need candidates to lead from the front with the Credit Strategy solutions they need to enhance their products.

Salary

€77436 - €83393 per annum

Location

Köln, Nordrhein-Westfalen

Description

Hast du eine Leidenschaft für Business Intelligence und liebst es Vielfalt in deinen Projekten zu haben?

Harnham blog & news

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 Blogs & News portal or check out our recent posts below.

Easier, Smarter, Better: What Does The 2019 Data Landscape Look Like?

Data & Analytics have played a larger role in 2018 than ever before. A key talking-point, this year saw the Cambridge Analytica scandal, resulting in increased pressure on the biggest names in tech. With Mark Zuckerberg being summoned before various governments worldwide to answer privacy and security concerns, it’s unlikely that we’re going to stop talking about the impact of Big Data any time soon.  Fortunately, 2018 also appears to have been a turning point. Whilst we’ve seen a greater number of threats from Data, we’ve embraced the technology it supports than ever before. As a result of this, 2019 is looking brighter than ever for the Data & Analytics landscape.  Easier Access to Data As businesses start to look at keeping their data closer to home, access has become more important than ever. Edge Computing has dramatically increased in popularity, and it doesn’t look like we’re going to see it slow down any time soon. BI Intelligence are estimating that, by the end of 2019, there will be 5.6 billion business-owned devices that access data in this way.  A result of the speed at which technology is advancing, Edge Computing is also seen as a more secure and private way to hold data. Whilst it was initially feared that the ‘Edge Will Eat the Cloud’, we’ve actually seen both perform strongly enough to stand on their own two feet. Far more than just being a stepping stone as we move away from Data Centres, we’ve seen Edge Computing play a role in everything from the Internet of Things, to everyday fuel efficiency. And, in 2019, we can expect it to play an even bigger role, as platforms emerge that will combine edge, multi-cloud and hybrid technologies. Smarter Tech Than Ever Before Whilst we all know that next year will introduce us to smarter technologies, they’re a few places where we can already some 2019 standouts. Natural Language Processing (NLP) has leapt forward over the past year and will continue its acceleration in 2019. Advances in Machine Learning (ML) will see BI tools feel the biggest benefit from this. In particular, the ability to ask programs questions around Data Visualisations and improve our insights will play a huge role.  Off the back of this, we’re likely to see Automated ML play a huge role. Falling between cognitive APIs and custom ML platforms, Auto ML will offer analysts the flexibility to deal with complex issues without having to go through the typical ML training process.  AI and ML will also revolutionise the DevOps world as 2019 sees AIOps become mainstream. This multi-layered technology will automate and streamline significant amounts of IT operations as the speed, and demand, of data continues to increase, but accountability remains the same.  Becoming a Better Society with Data Unsurprisingly, GDPR has had a huge impact on the Data & Analytics landscape in 2018. And, with the USA and India looking to embrace similar regulations in the new year, we’ll continue to feel the repercussions of this in 2019.  Companies are now no longer being assessed on the black and white of the legality of their practices, but how ethically they use the data they have access to. As a result of issues that have arisen over the past few years, how social media giants handle their data is now a leading discussion point during every major election. Whilst Facebook are already taking some steps to address this, expect to see the pressure on them and their contemporaries continue to increase in 2019.  It’s not only major networks that are having to adapt either. The number of leading businesses who now have their own data code of ethics has dramatically increased in the past few years and shows no signs of slowing. Plus, new technologies mean new risks and new principles. For example, as Facial Recognition technology becomes more and more prevalent, public concerns will lead to both fresh regulations but also increased responsibilities for firms.  However, it’s not all rules and regulations. The rise in the amount of Data we have has led to a rise in the possibility to utilise it for social good. Enterprises like Orange and The Hutch Data Commonwealth are looking at how we can share data and insights to achieve common goals and make the world a better place. Despite an increase in risks, 2019 is also offering a plethora of opportunities to use data for good.  If you’re looking to embrace the new and take on a fresh challenge in 2019, we can help. Take a look at our latest roles or get in touch with one of our expert consultants to find out more. 

Opportunity Knocks: Media Trading Desks Move In-House

It’s anticipated that by 2022, 80% of the advertising process will be automated. With the remainder of the process made up of elements that rely on human drivers, such as brand value and storytelling, we will have reached peak automation. Programmatic is playing a huge role in this transition, dominating the majority of mobile display and TV advertising. With the promise of more targeted ads, more and more marketers are pointing their budgets in this direction. The consequences of this, however, could have a lasting impact. Larger agencies are already introducing their own Programmatic teams, whilst Adobe believe that 62% brands will bring their media buying in-house by 2022, opening the door for an array of new opportunities. Moving Home There are several reasons that brands are choosing to bring their media buying in-house. First and foremost, with more and more budget directed towards Programmatic, the ability to automate their buying has a significant appeal. With the technology now available to do so, keeping this in-house has a number of benefits: Control: Brands can have greater control over how they spend their budget, giving them more autonomy over every stage of the process. Transparency: By owning their media buying, brands can gauge a better understanding of their ROI. Engagement: Customers continuously move from channel to channel. Keeping buying in-house helps brands keep up. Leverage: Brands can leverage their first-party data to create and execute in-house strategies. The last of these is particularly important. Following the introduction of GDPR, brands are under a significant amount of scrutiny regarding how they use customer data. By keeping this in-house, brands can have more control over how their data is both stored and used, without sharing it with third parties. Making the Investment Naturally, this change to the advertising landscape is already having implications across the wider industry. Sir Martin Sorrell, formerly of WPP, believes that brands moving in-house will be a “short lived trend” brought on by a reaction to “serious economic conditions”. However, this may not necessarily be the case. In addition to the benefits listed above, the significant investment required to move Programmatic in-house means that brands are likely to look to this as a longer-term solution.This not only involves investment in a DMP and the right technology but, more crucially, in building the right team. Without this team, any in-house venture is unlikely to succeed, regardless of technological investment. On Your Doorstep The good news is that this provides several new opportunities for Digital Analytics professionals. With 39% of Marketing Executives believing that a skills shortage is responsible for holding back Programmatic growth, there is a huge demand for the right talent, both permanent and contract. And, with this skills shortage, there is opportunity for Web and Marketing Analysts to expand their skillsets and move into the position of Media or Audience Analyst. By upskilling in media trading platforms such as AppNexus and DoubleClick, digital analysts can further enhance their expertise. When combined with the ability to visualise using Python or R they find themselves well positioned for some of the most in-demand roles around. If you’re looking for the opportunity to play an instrumental role in growing an in-house team, we may have a role for you. Take a look at our latest jobs, or get in touch by calling us on +44 20 8408 6070 or emailing info@harnham.com. This article was originally written for London MeasureCamp in September 2018. 

Recently Viewed jobs