Power BI Developer
London / £400 - £500
INFO
£400 - £500
LOCATION
London
Contract
POWER BI DEVELOPER
£400-£500 PER DAY
6 MONTH CONTRACT
REMOTE/CENTRAL LONDON
This position as a Power BI Developer, allows you to operate within an established SaaS company based in central London. The company has multiple avenues of business and are expanding their current capabilities by introducing a stronger BI function, specifically focused on the analysis of its product. As a Power BI Developer, you will have the opportunity to enhance your CV and gain experience working within a dynamic forward-thinking business.
THE COMPANY
This company has been a big contender within the media industry, and are looking to expand into different domains within the space. Part of this expansion will come from building out the Business Intelligence function, where they are looking to double the team in the coming year. A large aspect of this will be enhancing their front end reporting capabilities. Therefore they are looking for Power BI specialists to come and join the team to achieve this.
THE ROLE
The Power BI Developer will be responsible for developing insight reports on their software and the user journey. As a Power BI Developer the role will involve:
- Creating dashboards in Power BI around user journey of the software
- Analysing where they are losing revenue through the user journey
- Looking at customer engagement within the software
- Creating business unit level dashboards for the wider business.
- Acting as the SME for Power BI within the company.
- Communicating these findings to non-specialist stakeholders.
YOUR SKILLS AND EXPERIENCE:
As a Power BI Developer you will be required to have the following experience:
- Expert level Power BI, both front end and back end. With experience implementing dashboards over a variety of industries.
- Dax conceptual modelling and expert SQL, with real-world implementation of these models.
- Having the ability to communicate excellently with stakeholders.
- Experience working within the insurance sector/financial services.
- Experience working within a consultancy is a bonus.
THE BENEFITS:
As a Power BI Developer you will receive £400-£500 per-day over an initial 6-month period. As well as the opportunity to work on a variety of interesting and exciting projects.
HOW TO APPLY:
Please register your interest by sending your CV to Matthew Collett via the Apply link on this page.

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JOB RESULTS

Weekly News Digest: 15th – 19th November | Harnham Recruitment post
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This is Harnham’s weekly news digest, the place to come for a quick breakdown of the week’s top news stories from the world of Data & Analytics.DEVOPS.COM: FOUR KEYS TO DEVELOPING ETHICAL AIAs we see artificial intelligence (AI) being implemented into almost all aspects of the business world, companies are struggling to find ways they can use the technology in an ethical way.Here, Devops.com ask some important questions that help to ensure this incredible technology is being used as a force for good, from development to implementation.Is this transparent in every way? Developers need to establish a transparent and clear channel of communication to raise concerns and to discuss and deliberate on ethical dilemmas with their team.Have we accounted for risk or exceeded regulatory boundaries? Ensuring your products are future proof means exceeding the privacy regulations and ethical boundaries, not just meeting them.Is this system adaptable? There should always be a contingency plan in place, and developers should build flexible tools that can be adjusted according to any updates or ethical concerns that may arise.Are developer teams prepared to build ethically? Companies need to communicate their ethical intentions by building an infrastructure that equips developers with the training and resources they need to implement ethical standards.While these four questions won’t solve the ethical issues that AI throws up, it will certainly help businesses to prepare for, and build ethical infrastructures that are needed for AI to reach its full potential.To read more, click here.ANALYTICS INDIA MAG: TOP 10 PROGRAMMING LANGUAGES USED BY GITHUB REPO CONTRIBUTORS IN 2021In this piece, Analytics India Mag explores the top ten programming languages used by GitHub in 2021. GitHub is the world’s largest code repository and examining which languages they use can help us gain insight into what’s trending in the world of programming and why.To pursue a career in tech, it’s important to first build a solid foundation and understanding of programming languages. Take a look at the list of the top ten programming languages used by GitHub repo contributors in 2021 below.1. JavaScript2. Python3. Java4. Go5. TypeScript6. C++7. Ruby8. PHP9. C#10. CWhich programming language do you use most, and why?To read more, click here.TECH REPUBLIC: THE VALUE OF MENTORSHIP IN A REMOTE WORLDThe world has depended on digital resources and platforms to sustain communication and connectivity over the past two years. While certain aspects of our lives have become more convenient because of this, this has taken its toll on human relationships.In this piece, Tech Republic talks to Michael Litt, CEO of Vidyard a video creation platform, about his experience with mentorship and the programme he developed.”Jobs are more demanding, and hybrid work has meant different expectations and stress and strain,” Litt said. However, formal mentorship programmes are especially important in start-up organisations “to give people the time and space to learn.”Vidyard offers a mentorship programme that supports guidance and learning at all levels. The virtual programme is said to work better remotely than in-person, aiming to expand globally.”I wouldn’t be where I am if [my mentors] hadn’t taken me under their wing when I asked them to,” Litt said. “I believe in the art, and forma and intention is absolutely required. There is no easy path to building a mentor/mentee relationship.”To read more, click here.MARTECHCUBE: A THIRD OF CMOS DON’T TRUST THEIR MARKETING DATAAccording to recent research, over one third of Chief Marketing Officers don’t trust their marketing data.The research, which surveyed 964 marketing professional and data analysts across the US, UK, and Germany, identified some key strategic challenges that CMOs are facing, and their priorities for 2022.One of the biggest issues found between all levels of seniority was time being wasted by manually wrangling data.“Modern marketing can’t afford to wait three weeks for someone to sift through a spreadsheet. A lack of real-time insights – as data is spread across too many siloed locations – compromises the quality of marketing campaigns. By manually wrangling data, businesses not only open themselves up to human error and inefficiency but also commit themselves to a reactive strategy,” said Harriet Durnford-Smith, CMO at Adverity.To build trust within their own data, businesses must invest in their campaign reporting capabilities, have strategic and transparent value propositions, and be able to demonstrate return on investment.To read more, click here. We’ve loved seeing all the news from Data & Analytics in the past week, it’s a market full of exciting and dynamic opportunities. To learn more about our work in this space, contact us at info@harnham.com

Why it is hard to build a Big Data team | Harnham Recruitment post
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Increasingly, I speak to managers who are adopting big data tools and developing PoCs to prove how they can make use of them. Just last week I spoke to a data architect who mentioned that if he didn’t get exposure to big data tech sooner rather than later, his current RDBMS skills may become redundant within the next few years. While that is likely an exaggeration, it is certainly an interesting point. Companies that would have never previously had the capability to interpret ‘Big Data’ are now exploring a variety of NoSQL platforms. In particular, the massive performance benefits gained from Spark and real-time/streaming tools have opened up a whole new world beyond just MapReduce. I don’t claim to be a data engineer, but as a recruiter for this sector, what I do is spend all day, every day interacting with big data developers, architects and managers (as well as keeping a close eye on the latest Apache incubator projects). Due to this, I have seen some recurring themes that have become trends when companies look to create and build their big data teams that are coming to the fore.
Candidate demand
The demand for Big Data professionals is very much a present day issue as the data companies have grand plans for is waiting for the right data developer to use the best tech to extract valuable insights from it.
The best candidates receive massive interest, often gain multiple offers from a range of companies. Your business is now no longer just competing with large corporations such as Facebook, Twitter or Yahoo. Startups and SMEs are also vying for the best candidates.
Candidates are seeing pay rises twice that of the normal rate, as illustrated in our salary guide.
Candidate shortage
The number of candidates with hands-on, production level Big Data experience is incredibly limited. We go to great lengths to find the candidates who can add real value to companies.
The growth and exciting future for the big data industry has led to increased interest in big data jobs, particularly for those from RDBMS or software. engineering backgrounds. This leaves the industry in a difficult predicament: high demand + low supply = massive competition. There are countless examples of companies that have failed to recruit a Big Data team after a year of looking.
Competition to get ahead and stand outPlanning – Companies need to have a data road map detailing their future plans. Candidates want to clearly know what they are getting into and what to expect from a job.
Innovation – Why get stuck on batch processing? The most exciting positions that candidates love are in data innovations teams, playing with real-time/streaming tech and new languages.
Personal development, growth and training – with the data science market experiencing similar growth, many big data engineers are looking for a job that not only offers the chance to work with machine learning and similar fields; but training, mentoring towards clear career progression as standard.
Speed – the length of the interview process is often seen as a reflection of the amount of red tape developers have to go through to get a job. The longer and more convoluted the process, the more put off some people may be.
Complacency – don’t rest on your laurels, it’s unlikely that you’ll get 10s of CVs through when you are looking to fill a data role, so when you find a candidate you like, move swiftly to show your interest to them as quality candidates don’t come around often.
By implementing these small but effective improvements to your recruiting process and how you develop data talent will see you create a team that is a success in this ever more digital analytics landscape. Companies who don’t create and nurture strong, dynamic teams will fall by the wayside.
It’s Harnham’s job to help you achieve this goal. Get in touch with us to tell you how. T: (020) 8408 6070 E: info@harnham.com

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