Econometrics Lead Consultant
Manchester, Greater Manchester / £55000 - £65000
INFO
£55000 - £65000
LOCATION
Manchester, Greater Manchester
Permanent
LEAD CONSULTANT - ECONOMETRICS
£55,000 - £65,000 + benefits
MANCHESTER (flexible/hybrid)
A unique opportunity for any experienced econometrician or marketeer to join this leading agency. Do you have experience in MMM, attribution modelling and management experience? This is a great chance to be a strategic manager, leading the team on projects and having an impact!
THE COMPANY
Harnham is working exclusively with a well-known giant, who has recently won new clients and thus is keen to expand its team of econometrics consultants. They assist with helping their clients to grow their business through optimised marketing data-informed decisions.
THE ROLE
This role is pivotal for the team, working with clients, designing measurement solutions, as well as defining best practice from a media and methodology point of view. You will:
- Be the primary point of contact for clients across accounts, working with external stakeholders to understand the business
- Work in a team, reporting to Managers and overseeing more junior consultants to deliver key information
- Managing end-to-end marketing and modelling projects, ensuring quality and a smooth process
- Delivering analytics and Media Mix Modelling (MMM) solutions, attribution and other modelling approaches to clients
YOUR SKILLS AND EXPERIENCE
You will ideally have experience across the following:
- Proven ability to deliver complex econometrics solutions within marketing and media, able to interpret results and make client recommendations
- Previous experience building marketing models from scratch and implementing these.
- Prior experience with data mining and generating insights from data
- Strong Stakeholder Management including external clients, building relationships and collaborating with a number of stakeholders
- Mentoring experience as a minimum, if not prior management experience
- Data Visualisation and storytelling with data
WHAT'S IN IT FOR YOU?
- Salary up to £65,000
- excellent wider benefits package - holiday, health insurance, discounts and more!
- Hybrid working, 1 day a week from the Manchester office
- Huge exposure to various clients to boost your experience and client portfolio
- Excellent progression opportunities in a clear structure, with proven examples from others who have climbed through the business
HOW TO APPLY
Please apply by submitting your CV to Alanah Chambers at Harnham via the Apply link on this page.
Please note, this role is only open to candidates who will work from the UK and have existing Right to Work here.
CONTACT
Alanah Chambers
Senior Recruitment Consultant
SIMILAR
JOB RESULTS
A New Harnham Group Company Is Borne | Harnham Recruitment post
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I’m thrilled to announce the newest member of Harnham Group: Rockborne.  It’s been 15 years since we first started Harnham and over that time we’ve seen the Data & Analytics industry go from strength to strength and become one of the world’s most sought-after specialisms.  While innovation and progress have allowed the industry to flourish, it’s been clear for a while now that the biggest threat to its continued success is a shortage of talent and, in particular, technical talent that can thrive in a business environment.  As highlighted in our recently published Data & Analytics Salary Guide, half of all data leaders believe that the junior members of their teams don’t have the ability to articulate their work to non-technical stakeholders. Furthermore, they also believe that there is a significant need for those coming into the industry to learn how to better articulate their work and findings, improve their communication skills and to develop a better understanding of the nature the businesses that they work in.  To help counter this, we have created Rockborne, a new business designed specifically to train and place the next generation of Data & Analytics professionals into our clients’ businesses.  Rockborne will take on regular cohorts of diverse, highly-skilled and exceptionally promising STEM graduates and put them through an intensive 16-week training program designed to ensure that they not only have the most up to date technical knowledge, but also the business acumen and softer skills required to thrive in their careers.  They will then be placed as Consultants in leading data teams across the country for two years, at which point their current employer will have the choice to keep them on permanently at no additional cost. The consultants will also have the opportunity to undertake three weeks of training, prior to their placement, tailored to the business they are entering so that they are fully prepared to hit the ground running and add value.  To lead this new venture for the Harnham Group, we have put together an industry-leading team with Neil Berry as CEO. Neil brings a long career of experience in the Data & Analytics market, working across multiple sectors and industries delivering transformational change. His experience at several of the world’s foremost Data & Analytics consultancies, including most recently as a partner at both KPMG and IBM, makes him the ideal person to lead Rockborne’s senior management team.  He’ll be working alongside former dunnhumby, Experian, Accenture and IBM’er Gareth Mitchell-Jones who joins us as Chief Revenue Officer; Waseem Ali, formerly of Virgin Care, General Assembly, Cloudstream Partners and Lloyd’s of London, as Chief Data Officer; and former Barclays, JP Morgan and Jane Street campus lead Amy Foster, who will serve as Rockborne’s Chief Talent Officer. We believe that this team enables us to really address the issues within the industry, and allow the Graduate Consultants they produce to be set for success.  As the next part of our journey, Rockborne is set to continue the mission already pursued by our other Harnham Group companies; to help the world of Data & Analytics innovate and flourish, to provide opportunities for those who work in the industry to thrive, and to create a more diverse and inclusive workforce.  You can learn more about Rockborne here or by contacting one of the team at neilberry@rockborne.com, garethmj@rockborne.com, waseemali@rockborne.com, or amyfoster@rockborne.com.
Data & Analytics Recruitment Trends 2022 | Harnham Recruitment post
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As we look ahead to 2022 and to engineering a better, more robust and sustainable future, IT leaders and CIOs are predicting an accelerated continuation of many of the issues that have faced business in 2021, but in a way that will see business thriving, not just surviving. Tech talent shortages notwithstanding, 2022 looks set to be an exciting year for tech-invested businesses. From increased reliance on AI to carry out repetitive tasks, giving employees the time to get on with thinking and innovating, to increased democratisation of data pointing to a no-code revolution, both the capability of data to improve our lives and the need to adopt different skillsets within the industry. Ahead of our Tech Trends round up in 2022, a look at those things that will have a bearing on Data & Analytics recruitment as we approach the new year.1. Solutions to the ongoing talent shortage With the Great Contemplation threatening to further impact the already taut recruitment market (there are currently in excess of 18,000 roles being advertised on LinkedIn alone), traditional firms look set to increase salaries to attract talent, while future-fit organisations will use cloud-first and platform-based architectures to adopt low-code solutions to alleviate the need for the most advanced technical skills, according to Forrester.2. Hybrid workingAs evidenced in our Data & Analytics Salary Guide 2021, where we see the number of women in data and analytics dropping by 2 per cent compared to the previous year, women and middle managers are set to lead the Great Resignation in 2022, with work-life balance remaining a key influencer. The future of work is likely to remain agile and those businesses that adopt a hybrid working culture will maintain a competitive advantage in tech recruitment. McKinsey estimates that more than 20 per cent of the global workforce – mainly those in high‑skilled roles in verticals such as finance, insurance, and IT – could work remotely most of the time without any impact on productivity.3. Evolving roles As reported by colleagues in The Nordics, Germany and France, 2021 has seen the evolution of a new role in data & analytics. With the growth in digital retail and e-commerce, brands are leaning on their marketing teams to find innovative ways to grow market share. So, the demand for candidates that speak the language of both data science and marketing & insights will continue to grow. At a higher level, CIOs furnished with wider business skills will be well placed to lead product teams and wider data initiatives pointing to business success.4. CIOs take a place at the table According to Techrepublic, the role and skills of the CIO will evolve in 2022 with many highly effective tech leaders moving into CEO roles. As CIOs need to establish credibility to lead large-scale change management, they will be given a seat at the table and heavily influence the boardroom agenda. If you are looking to change your future, and are considering a move in Data & Analytics, Software Engineering or Marketing & Insights in 2022, get in touch. In the meantime, we wish our clients, candidates and readers a safe and restful holiday season and a healthy New Year.
Get Your Data Strategy Ready For The Metaverse | Harnham Recruitment post
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The metaverse has the power to revolutionise how businesses operate, and with the amount of data that will be produced increasingly rapidly – set to reach 160 zettabytes by 2025, businesses will have even more data that will require processing and analysing.
Bloomberg estimates that the metaverse market may grow to $800 billion by 2024.For some, the metaverse offers up a whole world of possibilities for expansion and growth – for others the whole concept is still abstract. Either way, organisations should use this new development as a good excuse ensure best practise is being implemented for their data processes.
As with any emerging technology, the value to be gained will boil down to preparation and having a realistic understanding of what capabilities it will bring to your business. So, what strategies can organisations put in place to maximise their data science capabilities in this new, virtual world?
Preparing for a whole new world
This new blended physical and virtual world will continue to be powered by and generate swathes of data. By 2032, it is estimated that the metaverses alone will have increased our current data usage by 20 times. Accompanying the Metaverse will be a ‘dataverse’ made up of the personal universe of unique data that each person will carry around with them to make their virtual world function.
This will have far reaching implications both for the processing of this data but also around the increased regulation that will be required. As a first port of call, organisations should ensure they have a cloud data platform that can collect and process internal and third-party data with a single point of access, to reduce the time it takes to search for insights.
According to Technative the model must be able to process structured, semi-structured and unstructured data, while also breaking down data silos and unifying insights to learn from the metaverse and help predict future outcomes.
Evaluating current capabilities
Many will be regarding the Metaverse as a huge opportunity to harness real-time data to improve their offering and better inform decision making – whether that be in regard to customer or business insights – and will be assuming only positive consequences for their business strategies and overall competitiveness. 89 per cent of IT and technology industry leaders across the US and UK, consider that data generated by the metaverse will either be very important (55 per cent) or quite important (35 per cent) for their business operations.
AI such as machine learning, will continue to be the key to facilitating these insights – providing efficient and automated ways to interpret real-time data and gain actionable results that can be translated into better informed decisions.Those already adept at using these technologies should not however assume that their current processes will hold up in this new world. The vastness and complexity of the data may require investment in more sophisticated machine learning algorithms and increased data capture processes, not to mention the talent to implement them.
A time to tighten processes
Currently, numerous organisations do not have strategies in place to maximise their data science capabilities, limiting their ability to truly understand the data they have about their company or their customers. The emergence of a new technology provides a unique opportunity to evaluate current data strategies and the usefulness of the data they gather.
Data Science teams should spend this time reflecting on any of the current downfalls they are seeing in their strategy and implementing change based on these lessons so they can effectively prepare for the future. Increased regulation is likely to play a large part in the preparations which will need to be made.
Looking at other recent innovations, such as blockchain and cryptocurrencies, and the issues they faced when it came to regulation can give businesses a good idea around the potential future implications. 60 per cent of all IT and technology leaders planning to integrate business operations within the metaverse are worried about ‘data’ and ‘security’.
These concerns demonstrate the need for unified metaverse standards and practices as well as a code of conduct for collecting different types of data. As a result, we can expect to see regulations being brought in swiftly around the metaverse to ensure businesses are complying and processing data in the appropriate way and are not harming the overall data ecosystem.
An increasing demand for talent
The sheer scale of data sources and siloed data will throw up certain challenges and put a spotlight on those with data analysis and processing skillsets. The regulations that will follow are also likely to further stimulate the data and risk analytics job market.
As automation rises, positions in data analysis are quickly morphing from a data collection exercise into much more business advisory role, which puts more emphasis on the ability of candidates to communicate the implications of the analysis and explain to business leaders how it might impact business decisions.And, as ever, despite increased automation, software and machine-based data processes can only do so much – there will always a certain degree of human intervention required.
The implications on the job market will come several-fold. We are likely to see a vast increase in available roles centred around areas such as compliance and quality, analysis and interpretation, as well as overarching strategic positions that consider the implications of new technology and monitor how processes intersect.
The metaverse provides endless possibilities for business operations but only if the correct infrastructures are in place. Organisations must not rest on their laurels and assume that these large swathes of data will automatically improve their insights and success. As ever, quality results rely on quality data, effective processes and evolving strategies.
Looking for your next big role in shaping the metaverse or need to source exceptional talent? Take a look at our latest Digital Analytics jobs or get in touch with one of our expert consultants to find out more.
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