Tealium AudienceStream Specialist
London / £450 - £550
INFO
£450 - £550
LOCATION
London
Contract
Company Overview: Our digital marketing agency is a rapidly growing player in the industry, with a strong presence in the UK market. We are focused on delivering exceptional results for our clients, leveraging cutting-edge technology and data-driven strategies. As part of our expansion plans, we are now looking for a skilled Tealium AudienceStream Specialist to join our team.
Job Responsibilities:
- Develop and implement data tracking and integration strategies using Tealium AudienceStream
- Collaborate with clients, internal teams, and other stakeholders to gather requirements and create data layer specifications
- Configure and deploy Tealium AudienceStream tags, extensions, and rules based on client needs
- Conduct troubleshooting and debugging of tracking and data integration issues
- Create and manage data layer documentation, user guides, and training materials
- Stay up-to-date with the latest trends and best practices in digital marketing and data management
Requirements:
- Proven experience with Tealium AudienceStream, including implementation and configuration
- Strong understanding of digital marketing concepts and practices, including tracking, analytics, and data integration
- Familiarity with JavaScript, HTML, and CSS for implementing and debugging tracking codes
- Excellent problem-solving skills and attention to detail
- Ability to work independently as well as collaborate in a team environment
- Strong communication skills, both written and verbal
- Experience with other tag management platforms and digital marketing tools is a plus
We offer competitive compensation packages, including salary, benefits, and opportunities for professional growth. If you are passionate about digital marketing and want to be part of an innovative team that is expanding in the UK market, then we want to hear from you!
To apply, please submit your CV,
CONTACT
Sahir Azad
Recruitment Consultant
SIMILAR
JOB RESULTS
How Programmatic Is Revolutionising Advertising | Harnham Recruitment post
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With consumerism on the rise, and a drastic shift away from traditional avenues of advertising, the use of Digital Marketing and the demand for business to become more technically ‘savvy’ is continuously increasing. The extent of different digital media channels in the advertising space, as well as the recent evolution of approaches such as Programmatic Advertising, has caused confusion as to which approach is the best for businesses to adopt and for well versed Digital Marketers to reflect on what their next career step should be. Irrespective, Programmatic is such a buzzword within the market at present and is widely predicted to become the future of display advertising. Despite this, many have a lack of understanding as to what it actually is. Whether you are looking for a career change or to embed Programmatic into your marketing strategy, here are some considerations:
Defining Programmatic Programmatic advertising is the automated process of bidding for advertising inventory to allow for the opportunity to display a relevant advert to the desired consumer in real time. At a basic level, parties from the ‘supply’ side of programmatic will sell an impression referred to as ‘audience ‘inventory’ through a Supply Side Platform. Facilitated by the ad exchange, such inventory is shared with advertisers who have submitted their desired audience preference through a Demand Side Platform.Within this online, automated marketplace, all advertisers will bid within the auction and the highest ‘bidder’ will then win each impression. The advertiser, typically a media agency or in house team of specialists, will begin to target users through Programmatic Ads that can be online or Out Of Home (OOH).
Redefining your advertising strategy With pre-existing modes of marketing such as, newspapers, radio, TV and, more recently, social media and paid search; it is worth considering the additional ways in which Programmatic advertising can benefit your business.Rather than utilising Data-driven ‘trial and testing’ methods to assess what will attract audiences to your site, Programmatic advertising uses a personalised approach by only targeting users who have expressed an interest in specific products or services. The automated process of identifying target users enables this to be a lot less manual than traditional modes of advertising. As a result, this will save your business time and unnecessary resources dedicated to Predictive Analysis, which will particularly benefit smaller businesses who may have a limited marketing budget. Programmatic advertising is also not just limited to online. The development of OOH has revolutionised the power, audience reach and impact of this long-standing method of advertising, allowing it to “bring data into the physical world” on a mass scale. As well as delivering a single ad to the right user at the best time, Programmatic advertising can enable your business to target hundreds of relevant consumers based on their online activity and location. This form of audience targeting is still incredibly new to the marketplace and is continuing to expand. By 2021, it is anticipated that Programmatic will further bridge the gap between digital and offline media by programmatically purchasing tv adverts; representing approximately one third of global ad revenue.
The future of advertising careersIf you are looking for a long-term career within advertising, Programmatic is a great route to gain exposure within, given that it already dominates the industry, and looks set to continue to. Due to such high demand and the lack of quality candidates within the market, Programmatic specialists are incredibly desired and retained by employers. As such, businesses are consistently searching for more talent within their team. Once onboard, they often invest heavily in training, personal development and internal progression. There is often a misconception that Programmatic is not scientific, however, specialists often sit in Data teams and utilise Analytics software or Data Visualisation tools daily; extracting and manipulating Data. Server-side scripting is also a huge part of the role; if an ad is not displaying on a site suitably, the Programmatic team will be required to dive into the JavaScript or HTML code to troubleshoot the issue. So, if you are looking for a Data-led vertical of advertising, Programmatic is a great career path. However, the supply and demand side are kept very separate due to the difference in tools utilised. Transitioning between the two can be incredibly problematic, especially further into your career so, if you are looking into a specific route, make sure you are making an informed decision. If Programmatic sales, inventory analysis and yield optimisation are appealing, the publisher side could be a great route. Alternatively, if setting up and monitoring campaigns or segmenting audience Data is of interest, I would advise starting agency side.Whether you’re looking to venture into a new aspect of digital media or require specialist talent within your team, we can help.Take a look at our latest opportunities or get in touch with myself at francescaharris@harnham.com to find out more.
The Fastest Growing Sectors for Contract Work
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The Fastest Growing Sectors for Contract Work
Despite economic uncertainty across the globe, several sectors are continuing to experience growth, which has led to a steady flow of employment opportunities for Data & Analytics professionals. This is particularly for contract roles that require niche expertise and skills to complete specific, short-term projects.
Which sectors have been experiencing an upward trajectory? Here’s a look at five industries across the globe that are seeing sustained growth and consequent demand for specialist contract talent:
- Artificial intelligence (AI): AI is a key growth sector that is powering demand for contract work for Data & Analytics professionals. ChatGPT, GPT-4, and Chatbots are written about in the media on a daily basis, and behind the scenes, our specialist recruitment consultants are busy sourcing Machine Learning (ML) engineers who can work in various programming languages and data models for our clients.
- Information Technology: with remote and hybrid working setups firmly in place, businesses are more reliant than ever on Information Technology and the specialists behind it. Tech roles are in growing demand at software and hardware companies, as well as internet and related service providers and app development.
- Cyber Security: barely a day goes by without news of a cyber security breach at organisations of all sizes. This is fuelling a growing demand for Cyber Security professionals to support businesses as they try to defend themselves against the evolving threat of ever more sophisticated scams and hackers.
- Telehealth Services: the Telehealth sector distributes health-related services and information using digital information and equipment, such as remote patient/doctor contact, and long-distance monitoring, advice, and intervention.
- Green Manufacturing: as international governments work to reduce their nation’s impact on the environment, including the UK’s net zero strategy and energy revolution, the Green Manufacturing and Energy sectors in are experiencing sustained growth. Ongoing investment is on the cards, leading to many thousands of jobs over the coming years to fuel progress.
In reality, there are many more growing sectors with Data & Analytics gaps to fill. The final Tech Nation report, published in March, shares that after an ‘explosive’ decade, the UK’s tech ecosystem is valued at more than $1 trillion and expected to hit $2.6 trillion in the next decade, or higher if the conditions are right.
For this to be possible the report states that, among other factors: “capital and talent must continue to be efficiently recycled through the ecosystem to create additional value”.
The demand for Data & Analytics professionals for permanent and contract-based roles, across global markets is showing no signs of slowing down. The only stumbling block is finding the sector and project that ticks all the boxes. Harnham’s consultants are highly experienced at matching the right people with the right businesses and helping to place talent at all levels on a part-time and full-time basis, depending on the needs of the organisation.
Interested in hiring a data contractor for an upcoming project or expanding your team with a permanent data professional? Our expert team knows the market inside out, and how to reach the best talent out there, get in touch today.
Weekly News Digest: 8th – 12th August 2022 | Harnham Recruitment post
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This is Harnham's weekly news digest, the place to come for a quick breakdown of the week's top stories from the world of data & analytics.
KD NUGGETS: MOST IN-DEMAND ARTIFICIAL INTELLIGENCE SKILLS TO LEARN IN 2022
Artificial Intelligence (ai) has been a popular topic for years now, and the technology continues to grow and create buzz across most industries globally.AI gives computers the ability to learn and work on their own, making decisions based on the data provided. One of the key reasons for AI's immense growth in the past few years is the ability to automate jobs that are otherwise time-consuming or tedious for humans to perform. Because of this, there is substantial demand for ai skills and professionals worldwide.So, what are the crucial skills needed to build a successful career in ai? Some examples are:Programming skills and languages (python, r, java and c++)Libraries and frameworksMathematics and statisticsMachine learning and deep learningNatural language processing and computer visionData science and data analysisSoft skills (collaboration, communication and critical thinking skills)As organisations become more aware of how this technology can improve their workflows, the demand for ai experts will continue to grow. Those willing to master the technology will be able to open new doors for themselves and their companies.To read more about this, click here.
READ WRITE: FIVE EFFECTIVE BEST PRACTICES FOR DATA GOVERNANCE SUCCESS
By 2022, the entire enterprise data volume is expected to exceed 2.02 petabytes which means that businesses operating in extremely data-intensive environments will require more powerful data management capabilities than ever before. Capabilities will need to monitor, manage, store, access, secure, and share data in a simplified and standardised manner.Creating successful data governance architecture can help to maximise data value, minimise risks, and eliminate unnecessary operating costs.Here are five key best practices for accomplishing data governance success:Define the proper proof in alignment with the right people:Build the roadmap that ensures data can always be trustedBecome consistently compliant with regulatory requirementsEvaluate risks across the boardBring the right data management platform to the table.Data governance is not a one-time strategy - it's an ongoing process that involves business-wide tasks, responsibilities, and protocols. Data is one of the most valuable assets for businesses to make important decisions around risk mitigations and the governance of data should be a high priority.To read more about this, click here.
WE FORUM: THE IMPORTANCE OF SECURING HEALTHCARE DATA
As healthcare continues to utilise the many benefits of technology, such as artificial intelligence (AI), machine learning (ML), and big data, how that data is secured and governed is becoming increasingly important.The data spectrum model demonstrates how data, whether small, large, personally or commercially owned, can be used and reproduced depending on the way that data is licensed. This model can help data specialists understand the risks of securing healthcare data in an industry where cybersecurity attacks have tripled since 2018.In addition to models such as the data spectrum model, data specialists must also explore how closely data sharing and data protection can function together, as there must be a balance of security, openness and citizen rights.While patient consent and assent are required, the following methods can be used to secure and store data safely:End-to-end encryption/data encryptionUse of a virtual private network while accessing patient recordsFrequently changing passwords to avoid hacking of an accountImplementing two-factor authentication for health professionals while accessing records.To read more about this, click here.
KDNUGGETS: TOP SIX BUSINESS BENEFITS OF MACHINE LEARNING
Machine Learning (ML) is gaining popularity rapidly in the business world as companies turn to data science to help them enhance their operational procedures. Tools like ml or ai can automate, integrate, and organise data in ways that humans cannot.The integration of ml into business strategies is often hindered by the lack of expertise internally, however, it is well worth the investment of experts and training because of the obvious benefits it can have. Here are six of the top business benefits of ML:Automates real-time chatbot agentsFacilitates accurate medical predictions and diagnosesSimplifies time-intensive documentation in data entryProvides more accurate rules and models for moneyClarifies market research and customer segmentationDetects fraud.Automation and ai are becoming more essential tools for businesses in their day-to-day operations, and ml is one of the most widely used. Although the installation of ml can be time-consuming and expensive, the benefits and advantages of the technology can significantly benefit a company.To read more about this, click here.We've loved seeing all the news from data & analytics in the past week, its a market full of exciting and dynamic opportunities. To learn more about our work in this space, get in touch with us at info@harnham.com.
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