Bristol / £50000 - £60000
£50000 - £60000
£50,000 - £60,000
This is a great chance to join a large business in the education sector as an Analytics Manager!
This UK-based company is a leading provider of accommodation to students across the country. They have a great commitment to safety, inclusivity, and sustainability.
As an Analytics Manager in this company, you will have the following responsibilities:
- Oversee a variety of analytical projects
- Create and maintain reports across the business
- Gain insight into customer behaviour and how it can be utilised for increasing ROI
- Manage a range of stakeholder requests and questions
- Prioritise business questions and create actionable insight projects
- Support the commercial and finance teams to achieve KPIs
YOUR SKILLS AND EXPERIENCE
The successful Analytics Manager will have the following skills and experience:
- Strong marketing/customer analytics experience
- Comfortable utilising SQL
- Experience working with Python or R
- Strong stakeholder management skills
- Previous managerial experience preferred
The successful Analytics Manager will receive a salary of between £50,000 - £60,000 depending on experience.
HOW TO APPLY
Please register your interest by sending your CV to Ryan Taber via the Apply link on this page.
How to Break into the Data Industry: Career Advice from Analytics Manager Simon Kelly
The Data and Analytics market is growing rapidly.
By 2030, the global market size for Data and Analytics is projected to reach £266 billion, a CAGR of nearly 30%. This increasing popularity has made the Data and Analytics space extremely competitive and difficult to break into.
Because of this, one of our consultants, Emma Johnson, spoke with hiring manager Simon Kelly to learn how they managed to navigate through this extremely competitive field when they first started.
Kelly is an Analytics Manager who works at Entain, and has been in Data & Analytics since 2011. Kelly has had a very successful career working within Credit Risk, Finance, and now Gambling. Here’s a summary of Kelly and Johnson’s discussion, along with some key insights from their conversation.
Background on Simon Kelly
Q: How did you get into Data and Analytics?
A: After University, I went travelling the world for the most part of a year. Before travelling I went back home and worked in a call centre at Capital One as I knew people there and knew it was a reputable company. After travelling, I joined Capital One again and started in Operations and quickly worked my way up.
It got to the point where with my degree and my background in being naturally good at maths, it meant I was getting more involved with Excel in building reports and working with the analysts. So, I spoke with my boss at the time, who was great, and they created a role for me. This role was a junior analyst role but in between Operations and Analytics, and gradually I was doing more hardcore analytics stuff, including data analyst type (forecasting/controls & MI report building) tasks and more strategy, and it built from there.
Insight #1: You don’t need a technical degree to get into data analytics
Q: What did you study at university?
A: I started off in Mining Engineering which involved a lot of Physics, Chemistry and Maths. After studying this for a year I realised this wasn’t quite the right fit and then moved to Accounting and Finance.
Shortly after the change, I realised I wanted to open it up into business more generally as I wasn’t sure that I wanted to be an accountant or to limit future career opportunities. So, I ended up with a business degree but there were still lots of elements of economics and accountancy in that too.
Insight #2: What you do need, is a love for problem-solving
Q: What has kept you in Data & Analytics?
A: I guess quite simply like just being able to understand things and the problem-solving aspect is very rewarding. Data is usually the way to at least get some insight into things within a business and then you can brainstorm and talk to others and figure out what’s really happening. But data is the key to unlocking that and there’s often so much variety within that as well. Sometimes it’s challenging to get what you want out of the data, but once you do it usually makes sense, or it is it’s a starting point, something that you can focus on and then bring in other information to figure out what’s going on.
Insight #3: Data without context is useless
Q: What’s the most important advice would you tell your younger self?
A: I guess the key thing is when we think about data, data in isolation isn’t very valuable. You need to understand the context of it. You could be a great coder but if you can’t say what the insight is, (the ‘so what’) i.e. what does that mean to the business/customer then the data in itself is only so valuable. Do that storytelling and understand it in the business and customer context, without that there’s only so far you can go with purely just data.
Insight #4: When interviewing for a role. don’t hold back on your answers – hiring managers want to hear your thought process
Q: What advice would you give to candidates interviewing?
A: Don’t hold back. I think sometimes we push to try to get insight from candidates because we think they know it. But maybe they are reluctant to just go out there and say it for fear of saying the wrong answer. A lot of the time we’re not necessarily looking for the right answers. It’s more on the critical thinking and point of view of how they got to the answer.
So, if we ask a question, you’re not sure about, then take us through your thought process explaining bit by bit. And if it’s to go down a path and it’s not quite on track with what we’re looking for, it doesn’t give us enough to get a gauge of your thought process, we’ll ask you a slightly different question to try to bring you back on track. As a hiring manager, understanding this whole process and how a candidate got to an answer, even if it’s completely different to what we expect is way, way better than just saying, oh, I’m not sure.
Insight #5: Data skills are transferable across different industries
Q: What made you make the change from Credit Risk/Finance to working with Gambling?
A: The change of industry was quite natural because even though I was in credit risk and finance, it was more Consumer Finance – Collections and Recoveries. So, trying to understand people/customers and their financial situation and how can the Creditors help them identify them, segment them, and help them.
In a similar lens what we do in Safer Gambling is the same sort of thing. Trying to identify people who we should be protecting more. Using data to understand a customer’s affordability. Are we doing things correctly and for the benefit of the business and customer? It’s quite similar in that sense. It’s just identifying and understanding that customer using data and helping make the situation better.
Insight #6: You don’t need to know exactly where you’re going next
Q: Where do you see yourself in 5 – 10 years’ time?
A: I’m really enjoying Entain and my role at the moment but longer term, I’m not solely set on one industry or one company or anything like that, so who knows? I want to ensure there’s progression, that I’m enjoying the role that I’m doing, and that it’s a nice balance of challenging and rewarding – then I’ll continue to be happy. There’s no title that I’m aiming for anything like that, I just want a fulfilling and varied role where I can make a difference and slowly continue to progress from a career point of view.
Are you a data professional that’s looking to make a career change, or break into the industry? Get in touch today.
Is Product Analytics the new Digital Analytics? | Harnham Recruitment post
Following on from our exploration of what Digital Analytics is, and the exploration specifically of hiring Digital Insights Analysts in the North of England and Midlands, we wanted to take a look at Product Analytics, and how it differs from the standard Digital Analyst role.To help investigate the importance of Product Analytics in the current market, we have interviewed Nicky Tran, a Product Analyst at Virgin Media (Manchester).What Is A Product Analyst?In simple terms, a Product Analyst ‘’looks at the different products a company has, and then you are identifying which areas of the product can be improved or which areas can be optimised.” While Digital Analytics can inform the product lifecycle, the interesting aspect to this role is, that unlike a traditional Web Analyst role, it is more of a hybrid role. Nicky emphasised that it is ‘’an upcoming sector within the analytics community’’, providing an overlap between Digital Analytics, Customer Analytics and Data Science.The key skills and tools for this role are advanced SQL, Google Analytics, and AB testing. So how does this skillset differ from a traditional Web Analyst? Nicky suggests that while the core requirements are that of a Web Analyst, with a web role you would essentially just be using Google Analytics Data. However, as a Product Analyst, you would be using advanced SQL to access other data bases, and pull data from models, and therefore, “you are combining two sets of data to get a more insightful look”.Why Is Product Analytics Important, And Why Are They Now Becoming More Prominent On The Market?Similar to Digital Analytics roles, it is clear that with the impending digital transformation, companies are becoming increasingly data-led, especially with regards to their digital platforms (and products).As a result of the pandemic, the digital space is so much more important than ever before. Therefore, to stay competitive, and to really understand the products from the consumer perspective, companies have to provide the most personalised customer experiences to acquire and retain their consumers. As Nicky mentions, ‘It is definitely worth making an ‘inventory’ to see how to promote what you have – it is about personalising the customer journey’.What are employers looking for in a Product Analytics candidate?Product Analytics are great due to their hybridity. In the current market, where there are numerous jobs, and few candidates, a Product Analyst (technically strong in three areas) is a highly sought-after rarity.Businesses are becoming increasingly invested in Product Analytics and having a Product team that works alongside the Digital team can be beneficial; especially when companies need to stay competitive.What are Candidates looking for? Understanding the differences between a Digital Analyst, and a Product Analyst is key to understanding what a candidate is looking for. Nicky suggested that this Product Analyst role enabled her to be the ‘bridge’ between areas.So how does the future of a Product Analyst differ to that of the route of a Digital Analyst? For Nicky, this is one of the most important factors to being a Digital Analyst, as she has the option to go down the Data Science route in the future should she wish. The more technical skills she has as a Product Analyst means she is building up experience across different areas of Data & Analytics, giving her a slightly different career path, should she want to go down a more technical route.Why Choose A Product Analyst Role?“If you come from a technical background – maths, physics, computer science – and are interested in how the numbers are crunching, it is worth going into Product Analytics, as it needs a logical mathematics brain, to be able to convert it into a way which is useful to stakeholders.”From speaking to Nicky, it is clear that Product Analytics is an up-and-coming role that people don’t know enough about it. Therefore, if you are curious about Product Analytics, or any of the different roles the market has to offer at the moment, as an employer looking for help hiring, or a candidate actively or passively looking for work, Harnham can help. Take a look at our latest Product Analytics jobs, or get in touch for more information on how we can support your hiring needs.
How Advanced Analytics and Customer Engagement Create Insight for Your Business | Harnham US Recruitment post
Have you ever wondered why your favorite store stopped carrying an item you liked to purchase? Or how you discovered a new item to fit the bill for what you were searching for? Consider counterintuitive holidays where the stores are packed, but the checkout lanes are light with few cashiers. On the flip side, there may be opportunities in stores that have ensured they have plenty of product in stock, have extra staff to help, and through it all have managed to make the experience seamless.This last imagining is what happens when you bring Advanced Analytics into your business to gather insights and create customer engagement for people who will return again and again to your store and to buy your product. This isn’t just for brick-and-mortar stores, this includes digital and e-commerce businesses as well. But the big question here is, how did they know to hire extra staff, make sure there was enough product on hand, and not only retained former customers, but made new customers? The motto ‘know your customers’ holds true, even in, and especially in, today’s world of social media marketing, e-commerce shops, review opportunities, and more. Enter Advanced Analytics. The next step up from the Analytics of Business Intelligence to offer you and your business a birds-eye view of what your customers want, how they want it, and how you can ensure their experience keeps them returning, and opening doors to new customers as well. TRADITIONAL BUSINESS INTELLIGENCE (BI) VS ADVANCED ANALYTICS Business Intelligence gives historical performance Data. What have customers bought or thought in the past. This information has been used to inform how to improve processes now, for the next sale, call, or booking. Advanced Analytics, however, offers not only a system in which to capture historical Data, but can work with more complicated systems, and handle the massive amounts of Data businesses capture every day. Think of Advanced Analytics as the change agent who comes in to solve the more complicated issues. While it may still gather the same information, it will use the information to determine why something is working, and if something isn’t working, what is the root cause of the problem. If customers are returning again and again, what is bringing them back, and how can they repeat it and improve it for the future. Below are three types of analytics each with its own specialty to help you make more informed decisions to move your business forward. 4 BUSINESS OPERATIONS ADVANCED ANALYTICS SHINESGaining clear insights about your business involves more than just the experiences of your customers. The driving force behind happy customers are the operations of your business. From the supply chain to marketing to Human Resources, every department plays a role in the Customer Experience. So, what better way to use Advanced Analytics than to ensure the root of your business is running well which will be key to ensuring that smooth customer experience. · SUPPLY CHAIN ANALYTICS – Market demand is at an all-time high and supply is…well, it’s stuck a bit. But regardless of what’s being moved, where, and how, the remote workforce, globalization, and necessary manufacturing plants to handle the loads are making things more complicated than ever before. Advanced Analytics can help businesses plan for what will be in demand not only using past performance indicators, but also predictive modelling scenarios to try to meet the pain points of supply and logistics.· OPERATIONAL ANALYTICS – Changing market demands, adaptable processes, and flexibility in how operations are executed are all signs Advanced Analytics ha a place at the very heart of your organization. In this scenario, bits of seemingly unconnected Data come together to help imagine process alignment with market demand, and craft better insights for business.· RISK ANALYSIS – Cloud-based tools available to help identify management of massive amounts of Data with predictive insights using Advanced Analytics.· HUMAN RESOURCE ANALYTICS – To find and retain top talent, it’s important to ensure your business knows what they need, why they need it, and who can meet their requirements. Advanced Analytics can offer HR the chance to predict and evaluate how a prospective employee may do in your organization. Ready to take the next step in getting a birds-eye view of your business? Consider Advanced Analytics. Imagine knowing not only the historical Data which has kept your business moving forward, but using the near real-time Data streams from omnichannel sources to help you plan for the future of your business with future-predictive insights. If you’re interested in Digital Analytics roles, a career in Advanced Analytics, Machine Learning or Robotics just to name a few, Harnham may have a role for you. 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.
CAN’T FIND THE RIGHT OPPORTUNITY?
If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.