Data Manager

LCE
Brighton
4 days ago
Create job alert

Job Description: Data Manager, Low Carbon Europe LtdReporting to: Head of OperationsAbout Low Carbon Europe:Low Carbon Europe forms part of the Soutenu Group and trades as LCE.LCE, a multidisciplinary consultancy is looking to appoint a talented Data Manager to work across adiverse portfolio of projects within both the public and private sectors. This is an important and exciting role within our increasingly expanding business.About the Role:The role of the Data Manager is to provide data services in support of and alongside the consulting team to ensure successful delivery of work-streams through the LCEs consulting services whether these be retained, repeat or one-off projects. The role requires a blend of analytical, communicative and interpersonal skills with the ability to provide quality data representation to the internal consulting team and Head of Operations.The role has a specific focus on delivering accurate and well-presented energy and water consumption data, through data capture and analysis, whilst ensuring quality is achieved; this is reflected and recorded within LCEs (ISO9001) Quality & (ISO 14001) Environmental Management Systems.The role also includes frequent use of our Systemslink energy manager platform, to receive, log, analyse, and report on energy and carbon data for reporting to clients, as well as managing queries of invoices to energy and water suppliers.As this position requires frequent interaction with internal colleagues and feedback is to be relayed to the Head of Operations as well as reflected within weekly updates provided for LCEs Project Management software (ZOHO).The Data Manager is required to manage the work-streams of projects assigned to them primarily from the Brighton Office, however there is an element of flexibility to this arrangement through LCEs agile-working model. This is likely to include a combination of working in the Brighton office, working from home as well as attending client premises.Success in this role in likely to be attributable to the Data Manager being well organised, punctual and highly motivated to deliver value and to develop their own skills, be willing to travel on occasions and having a close attention to detail. The role will also be successful trough working closely with our data analyst, and our client services executive who currently uses the Systemslink platform.Main Duties & Responsibilities:Understand the energy data sources for our clients and how they need to be presented. This will include energy consumption, energy and non-energy costs, carbon factors and weather (degree day) data.Work with LCE colleagues, Systems link, Excel and any client-specific data portals or software to create data presentations.Interrogate data sets to determine their accuracy, and report any findings to the consultant team.Analyse client data to provide insights to the consultant team including data outliers, peaks, troughs and trends.Gain experience in statistical analysis and regression analysis to produce energy forecasts, accrual calculators and bespoke data reports.Gain experience of data versus real life through site visits and other information from client sites.Provide support in implementing projects and operational change within client organisations.Provide regular monthly progress reports to client organisations, submitted to the Head of Operations for review.Analyse client data, develop bespoke recommendations that enhance efficiency in client organisations and their associated building portfolios.Provide weekly reports to LCEs project management system (ZOHO) and submit monthly timesheets in a timely manner.Represent LCE at external events, and support sales and marketing activities if or when required.Comply with the requirements of LCEs quality and environmental management manual to support LCEs ISO9001 and ISO14001 accreditation.Person Specification:Possess excellent organisational skills, with the ability to support complex projects across multiple clients.Have strong analytical and problem-solving skills with an ability to produce clearly presented, accurate results and written reports.Have excellent Excel and data manipulation skills.Be enthusiastic, self-motivated and confident in interacting with clients, and developing effective long-term client relationships.Ability to work autonomously and pro-actively.Ensure accuracy in the recording of time spent on projects.Have a broad understanding of the services provided by LCEHave a high level of computer literacy, including familiarity with the full Microsoft Office software suite.Have a willingness to travel on company business as reasonably required for projects, CPD development, sales or marketing activities, with occasional nights away.Have excellent communication skills, with the ability to speak and present information with confidence in front of a range of audiences and represent Low Carbon Europe at industry events.Ideally, have a familiarity with ISO 9001 and ISO 14001 Management Systems.Hold a willingness to learn and expand knowledge and qualifications.Be comfortable juggling a variety of tasks in a sometimes fast-paced operational environment.Position:This role, along with our Client Services Executive and Data Analyst, sits alongside the consultant team and is technically an internal role. The role is designed to provide data level support to the consultants to fulfil the requirements of the client brief.Progression:Following a full appraisal of the Data Managers competency, the next stage would be to progress to Junior Consultant, which among other items, adds responsibility for presenting information and reports directly to clients, as well as being wholly responsible for specific tasks from client briefs.Training & Development:To share knowledge with other team membersTo acquire knowledge from other team members, beyond ones own area of specialism.To ensure that CPD & formal training requirements are met, and reviewed at regular appraisals.TPBN1_UKTJ

Related Jobs

View all jobs

Data Manager

Data Manager

Genetics Manager

Data Team Lead

Client Relationship Manager, Office Based

Data Team Lead

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.

Career Paths in Machine Learning: From Entry-Level Roles to Leadership and Beyond

Machine learning has rapidly transformed from an academic pursuit to a cornerstone of modern technology, fueling innovations in healthcare, finance, retail, cybersecurity, and virtually every industry imaginable. From predictive analytics and computer vision to deep learning models that power personalisation algorithms, machine learning (ML) is reshaping business strategies and creating new economic opportunities. As demand for ML expertise continues to outstrip supply, the UK has become a vibrant hub for machine learning research, entrepreneurship, and corporate adoption. Whether you’re just starting out or have experience in data science, software development, or adjacent fields, there has never been a better time to pursue a career in machine learning. In this article, we will explore: The growing importance of machine learning in the UK Entry-level roles that can kick-start your ML career The skills and qualifications you’ll need to succeed Mid-level and advanced positions, including leadership tracks Tips for job seekers on www.machinelearningjobs.co.uk By the end, you’ll have a clear view of how to build, grow, and lead in one of the most exciting fields in modern technology.