Specialist Business Intelligence (German speaking)
Düsseldorf, Nordrhein-Westfalen / €45000 - €65000
€45000 - €65000
Specialist Business Intelligence (German speaking)
Location: Düsseldorf, Germany
Salary: 45,000 - 65,000
A boutique consultant company in Dusseldorf is looking for Data professionals who are ready to take the next steps in their careers.
As part of the BI, you actively support our customers to make them excited about their data. Our client offers a great place to work and has received an award for this for the last four years. They are looking for people to join them who have a passion for data and data-driven processes.
As a Specialist of Business Intelligence, you will...
- Talk to customers on Business Intelligence topics
- Develop cloud technologies or local infrastructure
- Optimize ETL processes (Design, create and analyse)
- Develop dashboards and create reports
YOUR SKILLS & EXPERIENCE:
- A background in IT, mathematics, or statistics (university degree, vocational training, or comparable practical
- Fluent in German and English
- At least 1 year of Experience in Business Intelligence
- Great communication skills
Attractive remuneration model
Hybrid working & flexible working hours
Open feedback culture
Job bike & job ticket
Working with the latest technologies
Unforgettable team events with events abroad
Own further education program
Subsidized sports activities
Healthy snacks & fresh fruit
How to apply
Please register your interest by sending your CV to Donal Leahy via the Apply link on this page.
Why Business Intelligence Is More Important Than Ever In 2022 | Harnham Recruitment post
Business Intelligence is one of the oldest divisions of Data & Analytics. In 1958, Hans Peter Luhn published his (now) world-renowned article on ‘A Business Intelligence System’. This would later become the grounding for how Business Intelligence is understood and used in companies across the globe. Within this article, Luhn identified how technology could be used to cleverly analyse data instead of the process needing to be done manually. It is unlikely that Luhn could ever have comprehended how crucial his model for Business Intelligence would become. But with the creation of the internet in 1983 and its subsequent evolution, the amount of data produced which can be compiled and analysed is almost unfathomable – 2.5 quintillion bytes every single day. In 2020, there was 44 zettabytes of data in the world, and this is expected to increase to 175 zettabytes by 2025. While not all of this data will be used for analysis by businesses, a large percentage of it will be. By using specialist tools and technology, this treasure trove of information can be efficiently analysed and then transformed into digestible insights. From large corporations to smaller SMEs, Business Intelligence, data capture and analysis form the solid basis of decisions made by business leaders.Business Intelligence has been fast-trackedIn 2020, 54 per cent of businesses agreed that cloud-based Business Intelligence was vital to their success, compared to only 10 per cent in 2012. This vast increase has been closely linked with the coronavirus pandemic which swept the globe in 2020. As many businesses were forced to become online-first, the most streamlined process which enabled teams to continue working, creating, and selling efficiently was through the adoption of Business Intelligence tools, such as SaaS products, embedded analytics, and data visualisation. With the use of such tools, businesses have found their decision-making processes to be five-times faster. The future of Business IntelligenceThe Business Intelligence market is expected to hit record highs of $33 billion by 2025. While most firms have adopted some sort of Business Intelligence tool, it is expected that a third of large-scale organisations will take this one step further by 2023. AI, Machine Learning, and complex adaptive systems are suspected to be the next investment for the business giants of the world. In recent research undertaken by BI Survey, the three most important Business Intelligence trends expected to be seen in 2022 are data quality/master data management, data-driven culture, and data governance. All three areas point to two key messages: In 2022, businesses are looking to gain further access to good quality, reliable data to see a consistent trend of positive decision making. This in turn will improve audience and demographic understanding and ultimately help to drive more conversions. In 2022, the creation of a data-first culture will be the top priority for most business leaders. All members of staff, regardless of job title, will be encouraged to understand and recognise the value of data and the role it plays in the success of the company. Both messages rely heavily on the implementation and evolution of Business Intelligence. From the easy compilation of huge datasets to the creation of easy-to-read, digestible information, which is accessible to the whole team, it’s clear that the need for Business Intelligence in 2022 will only grow. If you are interested in working within Business Intelligence, or are seeking BI specialists to help grow your company’s Data & Analytics abilities, take a look at our latest Business Intelligence jobs or get in touch with one of our team today who will be able to help.
The German Market: Businesses Need To Adapt Or Miss Out On The Best Tech Talent | Harnham Recruitment post
After moderate market movement in the spring, the tech recruitment market in Germany is seeing more significant movement now, as businesses align their budgets and headcount for 2022. But there remains a real shortage of tech talent in all parts of the sector, from Data-Science and Software Engineering to Data Intelligence and Marketing Insights.Recent research conducted by the Berlin office highlights that hybrid and remote working options, as well as growth and upskilling potential, are the most important deciding factors in the German job market right now. The only distinct difference between those surveyed was in long term financial incentives – men preferred a workplace bonus, women regard a workplace pension and insurance benefit as a bigger priority when considering a job move. That aside, flexible working and maintaining a good work-life balance are set to stay. In this respect, Germany faces a particular challenge as culturally, onsite teams and face-to-face working relationships have always been of high importance to efficient operations. In addition, many players need to rely on a hybrid working model asking employees to come in at least some of the time which is additionally challenging due to the remote location of a lot of companies. Added to this, the country specific issues that Germany faces are likely to present ongoing challenges as we move into 2022. Germany has the broadest range of company type, size and structure in the world and the wide cultural and ethnic diversity creates a non-homogeneous market with micro-markets that need a bespoke approach when it comes to tech recruitment.Big Businesses slow to react The speed at which German businesses can react to environmental change is affected by high employee participation in Trade Unions and works councils (Betriebsräte). Change can be slow, even under normal circumstances, regardless of how much or fast leadership want to act. Listed businesses find it difficult to turn the ship around quickly. The logistical challenges combined with the need for larger organisations to shift their cultural mindset and tech environments are significant barriers to change.At the other extreme, however, SMEs that are much more agile and flexible are seeing this time as a real opportunity to attract the best tech talent, many of whom were more interested in the stability of roles in larger organisations. But times have changed, people want more control over their working conditions and greater transparency regarding outlook and overall company strategy when it comes to the data journey. More than ninety per cent of German businesses are SMEs (the highest ratio in the world) which makes the recruitment market exciting right now. It continues to be a candidate led market. The pandemic effect on BusinessEmployers were affected differently during the pandemic. Tech service providers, e-commerce businesses and retailers that already had online sales operations saw business go through the roof as consumer behaviours changed and shopping migrated online. Digital Marketing and Data Insights roles were in demand as retail businesses scaled up in response. This huge growth combined with the shortage of candidates as those in secure jobs sat tight. Those that did move, became quicker in their decision-making. Where we were used to seeing a steadily moving market, candidates taking their time deciding whether a role might right for them, things sped up. Work-life balance, location and job security were all major factors in the market, so those smaller, more agile clients that were quick to offer these things became very attractive to candidates who might have otherwise taken their time.Businesses that are less invested in their tech infrastructure or failed to upscale the backend were hit particularly hard. Some innovative start and scale-ups providing solutions at the point of sale such as hard- and software, went into hibernation. Where previously data architects and data engineers were not regarded as critical to business growth due to a focus on adding features and growing the userbase, are now quickly becoming integral to operations. Now the exponential growth phase has plateaued, the last 6 months has seen businesses investing in data initiatives to transform their operations. Those strategic businesses with the foresight to address this were able to weather the storm, those that did not faced real pressure, some even went into liquidation. The tech start-up space has been largely dormant as venture capital and private equity was hard to come by. We expect to see that pivot both in response to the pandemic spawning entrepreneurs and as gaps in the market for digital solutions are realised. Future-ProofingHaving taken stock, and with lessons learned, those businesses that have survived the pandemic are future-proofing, investing in data initiatives around more robust infrastructures. Data Engineers, Software Engineers, DevOps and platform teams are high in demand and the recruitment market is running hot. The more classic customer-focused roles are also being advertised – Data Scientists, Social Media Analysts, Multi-Channel Marketing, Data Insights.New Roles in TechAs mentioned by my Nordic colleague Amanda Snellman there is an interesting evolution in tech. Brand led businesses are looking to their marketing teams to find ways to maintain a competitive advantage in the market are actively seeking talent to bridge the gap between Data and Marketing where candidates can speak the language of both disciplines. This is one of the more positive outcomes of the pandemic – silos are being broken down and operations are moving towards multi-disciplined product teams that are charged with budgets and responsibilities. These hybrid roles (Data Managers, Product Managers, Product Owners and similar) are falling out of the need for candidates who can understand the analysis, see the potential data can have in responding to consumer needs and who are able to transform those insights into actionable measures that can move businesses forward in a meaningful way. Data Scientists and Analysts who have a real understanding of what data can do to solve consumer problems and help a business grow. The Ripple EffectThe ripple effect of the pandemic will be felt for years to come. Currently, businesses are reacting out of necessity. The pandemic has resulted in many data initiates being prioritised. Those tech projects which may have taken several years to reach the top of the business agenda are now a huge focus. Communication is easier, and online meetings facilitate decision-making. But with home and work lines becoming more blurred and employees being looped in 24/7 the next pandemic may be burnout. Is remote working here to stay?Absolutely yes, despite the downsides. There is a slow realisation that if there is an internet connection, and a candidate can work, they can be based anywhere. Big businesses need to get on board with that to secure the best talent. There has always been remote working in tech and German businesses have long looked to other countries to fulfil their tech recruitment needs. Change was already happening; the pandemic has just exaggerated the curve. How can businesses make themselves more attractive in 2022?Going into 2022, choice will be key. Candidates have been in short supply for some time and as the German market approaches year-end this remains unchanged. As always, we continue to be selective in who we send to interview, which our clients appreciate, and most we put forward get to interview. Once at this stage, if hiring managers be open-minded to candidates’ requirements and respond accordingly then there will be measurable success in recruitment. The candidate led market is here to stay for some months yet.Looking to build out your data team? Get in touch with one of our expert consultants. Looking for your next opportunity? Check out our Data jobs in Germany.
Business Intelligence Is About Asking The Right Questions | Harnham US Recruitment post
You’ve dotted all the ‘Is’, crossed all the ‘Ts’. You’ve ensured your business priorities were aligned with your mission and objectives. But, how can you know if you’re on the right path, especially in light of today’s uncertainties. Your crystal ball may be in the cloud, but to find its clarity, you have to be asking the right questions. Below are three questions to consider moving forward.1. How Collaborative Are We?As businesses shift online and teams expand globally, collaborative business intelligence streamlines decision-making. A combination of BI tools, software, and social technologies to inform, engage, analyze, and form insights of what customers want and need.This form of collaboration takes decision-making out of its siloes. Not unlike the Socratic method, collaborative business intelligence solves problems through shared information to find common ground. Using business intelligence software to provide opportunities for predictive modeling, visual analysis of data and business metrics, businesses analysts can interpret and inform, in a more efficient streamlined process.2. How Secure is Our Data?Whether big business, small business, or medium business, no one is immune to cyberattacks. The ever- increasing rise of these attacks pinpoints just how important keeping data secure is for all businesses. Breaches cause not only monetary loss, but ultimately, consumer trust leading to more loss. The importance of Data security cannot be overstated. Now that a majority of businesses are making flexible and remote work options available, it’s imperative businesses work to keep data secure. Consumers today are much more concerned today about how and why their Data is used, and many may decline to offer it, not wanting to put themselves at risk of a possible cyberattack. 3. What’s the Best Platform to Drive Actionable Insights from Our Analytics?Much like the trend of collaborative BI, businesses are focused on combining business processes and workflows into one platform, so everyone has access to the same Data. It’s within these platforms, that businesses cannot only determine what action to take and implement those actions all in one place.Platforms become the hub of the wheel and the spokes are analytics of a particular industry, business, or department in which insights can be implemented. Some platforms on the move include Sisense and Sharepoint. Google Analytics Intelligence (GAI) might be the most well-known especially if you’re just getting started asking the right questions for your business. If you want insight into the state of your business, know any major consumer traffic changes, or want to know the probable conversion rate of web browsers to customers, GAI can help you get those answers. Because it uses machine learning to help, it’s important to know not necessarily what questions to ask, but how to ask them.How to Ask a Computer the Right QuestionsIf you’ve been working in a collaborative BI team and asking each other questions based on the data you’ve collected, it may be a bit of a mindset shift for asking questions of a computer. So, how you phrase your question, what you want to know, and how you ask may require a bit of thought to find the answers you’re looking for.Below are a few guidelines to consider when posing the questions.Follow the TrendIf you want to know what’s trending in your business, you might ask: How many products were sold last week?How many customers did I have today?Where are my customers located?What time were the most customers shopping? Which is Best?When you want to know what product is selling the most and through which means. Follow the performance. These questions might include:Which channel converted the most customers?Which product sold the most? Which product sold the least?Which hour was best for customer traffic?Compare and ContrastThese are questions or commands that enable you to compare two sets of data side by side, such as how your business performed week to week, day to day, or year to year.While most questions begin with ‘which’ or ‘how’, the compare and contrast questions can get a bit more complex. In these questions, you begin with what you want to know such as conversion rate, revenue shares, traffic, or trend. As this year comes to a close, what questions will you ask of yourself? Are you ready for a change? A new role? If you’re a business, what questions will you ask to move your company forward in the new year?If you’re interested in Big Data & Analytics, we may have a role for you. Check out our business intelligence jobs or contact one of our expert consultants to learn more. For our West Coast Team, contact us at (415) 614 – 4999 or send an email to email@example.com. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to firstname.lastname@example.org.
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