Digital Analytics jobs in Germany

What We Do

We help the best talent in the Digital Analytics market find rewarding careers in Germany.

We know Web Analytics, PPC, User Experience and Search Engine Optimisation of websites and online campaigns now command as much, if not more, focus than traditional marketing analysis techniques.

Today’s businesses know that innovation and technology are data-driven. With the right talent, they can see real time benefits of measuring and analysing their online activity. In other words, Digital Analytics can increase engagement through design and drive accountability, as well as optimise user interaction. Our knowledge of Data & Analytics allows us to support this rapidly growing marketplace.

how We Do it

At Harnham, we strive to deliver an exceptional recruitment experience by taking the time to understand what drives our clients and candidates to excel.

We recruit at all levels across the full remit of Digital Analytics skills including Web Analytics, Conversation Rate Optimisation, Search Engine Marketing, Digital Analytics Strategy and Planning, eCommerce and Ad Tech. We understand the wide range of tools and specialist knowledge required to work within this continuously evolving industry in Germany.

Our team is always on the look-out for top talent in Berlin, Hamburg, Munich and any city in between. With our knowledge of analytical and behavioural targeting tools, from Google Analytics and Adobe Marketing Cloud tools to Webtrekk, no role in the Digital Analytics sector is beyond our reach.

What sets us apart?

Harnham works with a wide range of organisations, from SMEs to large corporations, digital analytics and media agencies and consultancies, specialist web metrics providers, and research companies. Whatever your skill set, we have an established network of Digital Analytics companies to help you find your perfect fit.

Before we pair people with our clients, we look at their respective mentalities. Our long-standing partnerships within the marketplace enable this. By going beyond CVs and company descriptions, we are able to only recommend professionals to companies they share a mindset with and achieve an optimal outcome for all involved. 

Whether you’re searching for your next role in a tech start-up in Berlin or a media company in Munich, our specialist team can help you develop in the Digital Analytics sector. 

Latest Jobs

Salary

€80000 - €100000 per annum + BENEFITS

Location

Nürnberg, Bayern

Description

Work with leading brands in retail, fashion, automotive and the travel industry!

Salary

€50000 - €60000 per annum + BENEFITS

Location

München (80636), Bayern

Description

Als Web Analyst bist du für die Optimierung der Webseite und mobilen Seiten zuständig. Du analysierst die Customer Journey und Online Marketing Aktivitäten.

Salary

€160000 - €180000 per annum + performance bonus, benefits

Location

Berlin

Description

Key leadership position in end-to-end analytics strategy execution, leading FMCG MNC, guard and ensure continuous evolution of customer facing/analytics tech.

Salary

€65000 - €75000 per annum + BONUS

Location

Stuttgart, Baden-Württemberg

Description

Hier bekommst du die Chance zusammen mit dem Data Team den eCommerce Bereich weiter zu optimieren.

Salary

Verhandelbar

Location

Stuttgart, Baden-Württemberg

Description

Dein Team betreut Performance Marketing Kanäle wie Affiliate, Retargeting, Social Media und SEA. Dein nächstes Projekt ist der Aufbau des Ad tech Bereichs.

Salary

€70000 - €80000 per annum + BENEFITS

Location

Hamburg

Description

You will be responsible to coordinate end to end programmatic campaigns working for travel company.

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.

HOW BRANDS USE DATA TO CREATE SUCCESSFUL CAMPAIGNS

Make no mistake: making minor adjustments to an ad or campaign that’s meant to appeal to the masses just won’t cut it. Customers crave creativity. They want to be understood. Which is why people respond best to brands that do their homework, doing their research into what appeals to different groups. How should businesses appeal to their chosen segments, then, considering how diverse people are? Data, of course. Why Data? For one thing, it drives results and creates improved outcomes. Data also helps to prove the value of marketing, providing a bargaining chip for future budget discussions. And, most rewarding of all, brands get valuable insights into their target market. Which, in turn, leads to more well-targeted, profitable campaigns.  And if you think Data doesn’t belong in the world of creative campaigns, think again. As OpenJaw Technologies Chief Marketing Officer Colin Lewis argues: “Creativity is not just compatible with being Data-driven – Data can drive better creative.” Psychological profiling Strategic communications consultancy, Verbalisation, researches and analyses language to form valuable insights. Using its Rapid Audience Insights Diagnostic system, the company’s team of psychologists and researchers work out how an audience thinks. They also learn the actual words an audience uses, which they then use as the basis of a marketing strategy.  Based on their unique research and insights, Verbalisation has created several successful campaigns for high-profile brands. These include the #NotAnotherBrother campaign for counter-terrorism organisation Quilliam, which looked at the motivations of jihadists.  The campaign is now used by the UN and schools across the UK, as well as the US Department of Defense. It is the most viewed counter-extremism campaign of all time, with more than half a billion global media impressions.  Location, location, location Out-of-home (OOH) advertising. Yes, it goes way back, but it’s actually the only traditional advertising channel posting rapid growth. In fact, thanks to mobile-location Data, brands can target audiences quicker and with a greater chance of success than ever before.  Great news for JCDecaux (JCD), a leading OOH company with ads reaching 410 million people in over 4,000 cities. JCD now works with location Data to define and segment audiences. Doing so helps it decide where to place media, improve campaigns and measure resulting store footfall and purchases.  Knowledge, so they say, is power. Particularly when that involves knowing the whereabouts of the most coveted customers. Newly teamed up with identity resolution company, Neustar, JCD’s insights look stronger than ever. JCD can now understand which of its locations rank higher for any brand’s most desired audiences. All thanks to location Data and real-time behaviour analysis.  Personalised employee training Data doesn’t just boost the results of B2C brands; it can also be a vital shot in the arm for internal security training campaigns. Training provider, CybeReady, for instance, uses a Data science-driven approach to deliver cyber awareness training with a difference: its anti-phishing platform helps security teams quickly roll out and tailor campaigns to individual employees. In big companies, getting employees up to speed is especially challenging. With many locations, languages and time zones to contend with, Information Security teams have their work cut out.  CybeReady eliminates these challenges by delivering 12 personalised, 60-second simulations to each employee. In their first language, every year. What’s more, the training provider uses machine learning to analyse performance on a daily basis. This enables it to provide the most appropriate simulations to each individual. The result? IT teams save 160 hours each month and employee resilience increases five-fold. There’s no limit to what Data can do. If you’re a fan, we may have a role for you. Take a look at our latest opportunities or get in touch with our expert consultants.  

The Evolution Of The Data Engineer

Every Data Science department worth its salt has at least one engineer on the team. Considered the “master builders,” Data Engineers design, implement and manage Data infrastructure. They lay down digital foundations and monitor performance. At least, that’s what they used to do.  Over the last few years, the role has shifted. Data Engineers have gone from mainly designing and building infrastructure, to a much more supportive and collaborative function.  Today, a key part of the engineer role is to help their Data Analyst and Data Scientist colleagues process and analyse data. In doing so, they are contributing to improved team productivity and, ultimately, the company’s bottom line. THE IMPACT OF THE CLOUD In the past, a Data Engineer would often move data to and from databases. They’d load it in a Data Warehouse, and create Data structures. Engineers would also be on hand to optimise Data while businesses upgraded or installed new servers.  And then along came the Cloud.  The rapid dominance of cloud computing meant that optimisation was no longer needed. And as the cloud made it easy for companies to scale up and down, there was less need for someone to manage the data infrastructure.   The collective adoption of the cloud has had a big impact on the function of Data Engineers. Because, provided a company has the funds, there is no longer the same demand for physical storage. Freed from endless scaling requests, engineers have more time to program and develop. They also spend more time curating data for better analytics.  AUTOMATING THE BORING BITS  Less than a decade ago, if start-ups wanted to run a sophisticated analytics program, they’d automatically hire a couple of Data Engineers. Without them, Data Analysts and Data Scientists wouldn’t have any Data. The engineers would extract it from operational systems, before giving analysts and business users access. They might also do some work to make the Data simpler to interpret.  In 2019, none of this extraction and transformation work is necessary. Companies can now buy off-the-shelf technology that does exactly what a Data Engineer used to do. As Tristan Handy, Founder and President of Fishtown Analytics, puts it: “Software is increasingly automating the boring parts of Data Engineering.”  STILL SOUGHT-AFTER  With automation hot on the Data Engineer’s tail, it can be tempting to ask whether they are still needed at all.  The answer is: yes, absolutely. When recruiting engineers, Data Strategist Michael Kaminsky says he looks for people “who are excited to partner with analysts and Data Scientists.” He wants a Data Engineer who knows when to pipe up with, “What you’re doing seems really inefficient, and I want to build something better.” Despite the rise in off-the-shelf solutions, engineers still play a key role in the Data Science team. The difference is simply that their priorities and tasks have shifted.  Today, innovation is the watchword. The best engineers are hugely collaborative, helping their teams go further, faster. It’s an exciting time to be a Data Engineer. If you’re interested in this field, we may have a job for you. Take a look at our latest opportunities or get in touch with our expert consultants.  

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