Head of Business Intelligence
London / £90000 - £120000
£90000 - £120000
Head of Business Intelligence
London - Hybrid
Up to £100,000
The Head of Business Intelligence will be responsible for bringing performance and progress data to life for an increasing number of schools, new users and evolving business intelligence requirements.
This rapidly growing and dynamic organisation have over 60 schools in their portfolio and plans to expand to 100-120 within the next five years, they are on an exciting journey of growth and development. They are dedicated to providing the best education to our students, and we believe that data and analytics play a crucial role in achieving that
- Ensure clear and consistent data requirements and ownership for end-user requirements
- Facilitate the process for setting and reviewing targets for non-financial KPIs
- Identify business processes and associated data sources for overall data requirements
- Design data products and business intelligence reports and dashboards for all stakeholder groups
- Develop insights from analysis of underlying data for decision making
- Manage evolving data requirements and collaborate with senior business leaders
- Lead a small team of BI professionals and mentor users of insight
- Ability to manage evolving data requirements and collaborate with senior business leaders
Skills & Qualifications:
- Excellent stakeholder management skills and experience in leading the use of data to create business intelligence
- Strong leadership and people development skills
- Ability to manage evolving data requirements and collaborate with senior business leaders
- Experience using Power BI as a tool for data analytics and insight
- Evidence of working in a decentralized global organization
If you are a strategic thinker with expert knowledge of PowerBI and a passion for driving business intelligence, then apply for this role via the link or reach out to me directly:
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.
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 firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
Hiring a BI Manager – Trends and Challenges | Harnham Recruitment post
With all the talk of big data and data science being able to predict what colour shirt I will buy in four years’ time (probably white or blue for those who don’t know me!), effective business intelligence is sometimes passed by or considered old news. The reality is that companies are realising that they can get much more from their business intelligence and are changing their strategies to deliver interactive, insight-driven and visualised reports. Not every data-driven decision needs machine learning algorithms behind it, and quality business intelligence enables all managers to be effective decision-makers. These strategies are creating some obvious trends in the market, resulting in a change in expectations when hiring a BI Manager. Key BI TrendsData Visualisation – Companies of all sizes are implementing Qlikview and Tableau (amongst many other tools) to create attractive, interactive visualisations, to harness intelligence, in a way that will capture attention in a presentation. Insight Driven – A BI professional can’t simply develop automated reports anymore. Analysts are often required to offer suggestions for business change and present insight to decision makers. Hands-on Management – BI managers and even heads of business intelligence are expected to keep coding well into their management years, with the logic that problems can be spotted quicker when they are in the trenches, coupled with strategic and line management work. Data Ambassadors – BI professionals are becoming door-to-door data sellers, coaching teams in a business on the benefits of using data to optimise their teams and decisions to save or bring in more money. Heads are in the Cloud – Companies are using cloud-based data warehouses such as Redshift to save on storage costs, whilst creating a centralised data warehouse for BI. Alternative Data Sources – Companies are looking to use the web and social media data, alongside numerous other sources to generate deep insights for managers. The BI Manager EffectI am completely sold that all of these features represent the future of business intelligence. The few companies that are doing all of the above well enough, are doing advanced work in the area and these companies will be leveraging big commercial gains from their business intelligence teams. The problem is that only a few businesses are doing all of the above, so only a handful of professionals have the relevant experience, and as a result expect top dollar to bring all of those skills. Therefore, it is prudent to be flexible with your hiring requirements. Look for a bright, passionate candidate, who can readily grasp the shift in business intelligence trends, and is keen to plug skills gaps. An enthusiastic business intelligence professional will get up to speed with whatever they were missing. Don’t be too quick to dismiss those who are not ready-made BI managers on paper. Message to CandidatesFor all aspirational or existing business intelligence managers and leaders, I would advise you try to stay hands on as long as possible. I know some of you dream of never seeing a line of SQL code again, however, the trend in hiring for hands-on business intelligence management positions means that keeping your tech skills sharp will really keep your options open moving forward. It would be great to hear your experiences, so please feel free to comment below on the trends you see in your business. Have you needed to remain hands on as you progress within your career? Or are you looking for a multi-skilled BI manager, and it is proving hard?
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