TEAMLEAD BUSINESS ANALYSIS

Hamburg
€80000 - €90000 per annum

TEAM LEAD- BUSINESS ANALYST (m/f/d)


HAMBURG

80.000 € - 90.000 €

An international online company is offering an exciting opportunity for a Business Analyst who already has extensive, hands- on experience in Data Analytics or Data Science. If you are looking for your next career step as a team lead, then this might be your chance! You will be a key driver in moving the business forward and in implementing your insights into the overall company strategy.

THE COMPANY

My client is a leading and well-known online company in Hamburg, that is expanding internationally. The company has offices in multiple cities all over Europe, where it employs around 1500 employees.

THE POSITION

It will be your responsibility lead a team consisting of 2 data analysts and 2 data scientists, while also working hands-on on a range of fascinating projects. The Business Analysis team has many touch points with other teams in the company and it will be your responsibility to incorporate the Business insights into the bigger picture of the overall business strategy. It will be your responsibility to:

  • Implement and automate relevant KPI´s
  • Optimise and automate processes
  • Manage a team of 4 analysts
  • Conduct A/B testing to validate hypotheses

You will deliver insights and reports by using your statistical and analytical abilities, as well as your knowledge of modelling and programming languages.

YOUR SKILL SET

  • A degree in a statistical, mathematical or science field
  • Good knowledge of Excel and R or Python
  • Knowledge of MicroStrategy, Tableau or a similar tool would be a plus
  • Very good statistical understanding
  • Fluent English is a must, German would be a bonus
  • First leadership experience will be considered a bonus, but it is not a must

COMPENSATION

The company offers generous compensation, as well as many perks and benefits including flexible working hours, training courses, regular events, restaurant vouchers, public transport tickets and more!

HOW TO APPLY

Does that sound interesting? Then I am looking forward to your application

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54511
Hamburg
€80000 - €90000 per annum
  1. Permanent
  2. Data Planning

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HOW PROGRAMMATIC IS REVOLUTIONISING ADVERTISING

How Programmatic Is Revolutionising Advertising

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The future of advertising careers If 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.

Web Analytics Career To Data Science

HOW WEB ANALYTICS CAN LEAD TO A CAREER IN DATA SCIENCE

The Web Analytics world is evolving. What used to require an understanding of Google Analytics, some tag management and visualisation for presentation purposes has grown into something much more. Whereas Web Analysts may have once been lone players in a Marketing team, they’re now expected to sit as part of, and feed into, an enterprise’s Insight team.  This exposure to more comprehensive forms of Data Analysis has led many Web Analysts to explore what the next step in their career could be. Namely, should they move into a Data Science position? For those who are looking to make this move, here are some considerations: Technicalities and Technologies  Digital Analytics are not excluded from the debate over what it means to be a Data Scientist, especially given that some with a Data Scientist job title may in fact be Web Analysts, and vice versa. Many Web Analysts are now working with a number of Data Science tools, including SQL, Python, and R. By using these alongside Google or Adobe Analytics, they are able to form a comprehensive view of the customer, using different types of Data, in different forms, from different sources. However, there remains a gap between the use of these tools and actually working within Data Science.  The most logical leap for a Web Analyst to make is to a Customer Insight or Digital Insight role. This type of role would still involve the analysis of online Data, but would likely be paired with building models, Predictive Analysis, reviewing customer LTV and creating a picture of customer online, offline and post-purchase behaviour to enable better targeting and retargeting. However, the knowledge gap between Web Analytics and Data Science may be more significant than one would anticipate.  Your Current Position  As a Web Analyst, you may well sit within a larger Data, Digital or Customer/Marketing Analytics department. Your exposure to these experts is one of the best assets you have available. Use the environment you are in to learn, upskill and gain hands-on experience. Knowledge of the necessary tools and languages is unlikely to be enough to lead to a move into Data Science and by getting hands-on commercial experience, you drastically increase your chances of success.  If you are able to expand on the tech that you have already used, take advantage of this. Even if this is just in a consulting capacity, your ability to demonstrate a real-world application of your knowledge makes you significantly more appealing as a candidate. Plus, your knowledge of, and approach to, Web Analytics may actually work to your advantage when it comes to assessing Data quality. Consultancies and agencies often provide the best training opportunities and are more likely to allow you the opportunities to hone new skills. If you are fortunate enough to work in an environment like this, make the most of it. Attitude Is Everything It may sound like a cliché, but Hiring Managers are on the lookout for people that they know will benefit their business and attitude plays a huge part in this. Do not underestimate the importance that is placed on cultural fit during an interview process.  Whether you are looking to make a move internally or externally, you should demonstrate your intrigue and willingness to learn. If you already have a strong record of progression within your current career, this will benefit you moving forward. When it comes to preparing, take time to dive into the world of Data Science, attend events and meet-ups, and continue to widen your remit. If you don’t have exposure to Data Science at work then you will also need to be learning SQL, Python and R at home to ensure you have a firm understanding of all the relevant technologies.  Whatever role you are looking for, the worst thing you can do is not apply. One of the most common mistakes we see is analysts not applying to an opportunity because they would need to develop in some areas once in the role. If you are able to demonstrate the above attributes many enterprises, particularly agencies and consultancies, may still be willing to take you on. And, if you’re not looking to make a move, don’t panic; Web Analytics skillsets remain highly sought-after and valuable. Whether you’re looking for a new career in Data Science or your next role in Web Analytics, we may have a job for you. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.  

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