At a Glance
- Tasks: As a Data Editor, you'll manage datasets, analyse data, and communicate insights effectively.
- Company: Join Global Water Intelligence, the top publisher in the international water industry.
- Benefits: Enjoy hybrid working, a competitive salary, 25 days holiday, and a company pension plan.
- Why this job: This role offers a chance to impact the water sector while developing your analytical skills.
- Qualifications: Strong academic credentials and a keen eye for detail are essential; no prior experience required.
- Other info: Opportunity for training and international travel to water conferences.
The predicted salary is between 27000 - 35000 Β£ per year.
Location: Oxford OX1 1XX (hybrid working β minimum 3 days in office per week)
Salary: Β£32,000βΒ£35,000 per year, depending on experience (6-month probation period)
Contract: Full time, Permanent, 37.5 hours per week
Global Water Intelligence (GWI), the leading publisher, intelligence firm and events organiser serving the international water industry, is looking to hire a hardworking and enthusiastic Data Editor to join our team.
At GWI we collect a huge amount of data and are the main source of data for the international water industry. Our data and analysis is used by businesses, governments and investors to inform strategic decisions on the water sector.
In some cases, we can collect near-comprehensive market data, while for others we need to rely on a combination of modelling, indicators, and contacts. In both cases, data needs to be collected, interpreted, and presented by in-house analysts who know enough about their subject area to validate and contextualise our numbers.
As a Data Editor, you will get to grips with new subject areas, explore unique market value datasets, and manage your own databases that our journalism is based on. We are looking for someone with a logical and inquisitive mind, a good head for numbers and an adaptable approach to work. Relevant training will be provided.
Responsibilities:
- Build, manage and maintain datasets: You will help the data team provide invaluable datasets and databases to our clients. This includes building, collecting and managing external datasets, updating sources, analysing information and accurately highlighting anomalies.
- Collect and manage databases: We provide numerous up to date, informative databases each telling their own story of the water sector. You will collect and compile external and internal data, standardise the information and input it in our content management system.
- Analyse and visualise data: Working with large datasets comes with challenges, so effective data analysis and visualisation is essential to draw out the interesting stories hiding behind the data. You will help analyse and develop visualisations to understand the present and future of the market.
- Clearly communicate information: Our customers rely on our numbers to help validate their business decisions. To earn that trust we need to communicate our methods and assumptions clearly. The same challenge applies internally. You will play a key role in data related co-ordination and communication within teams and to clients.
- Interview people and understand the context behind the numbers: The best way to check data validity is to speak to the publishers and data owners. We need people who can proactively network with individuals to source the data and validate its accuracy.
- Work across teams towards wider business growth: Your work will always be part of a bigger picture β in taking ownership of your projects you will collaborate with teams across the business to ensure everything we do contributes towards the companyβs vision and goals.
Person requirements:
We do not expect any previous Data Editor experience or knowledge of the water sector but, we are looking for candidates with strong academic credentials. If you think you are good at two or three of the following skills, we would like to hear from you.
- Knowledge of good data management practices, with the ability to collect, organize, and structure large datasets
- Knowledge of how to extract and standardise data from multiple sources, including excel, csv, txt, pdfs and image files
- Experience following an ETL workflow is desirable
- Keen eye for detail, taking care to check through work to avoid errors
- Excellent verbal and written communication skills, with the ability to communicate complex data systems to the wider team
- Ability to thrive in a fast-paced environment, including taking initiative, showing ownership of tasks, and managing your time
Desirable but not essential:
- Familiarity with financial accounts and corporate structures of companies
- Experience using Excel (including PivotTables or Power Query)
- International travel, opportunity to regularly attend water conferences
Company benefits:
- Company pension plan
- Holiday allowance of 25 days per year (pro rata)
- Opportunity to attend relevant training courses and conferences to develop within the role
To apply:
Please submit a CV and covering letter to recruitment@globalwaterintel.com explaining in fewer than 200 words why you are applying for the job and what you think you can contribute to us that would make a real difference.
Closing date for applications: 25 July 2024.
We will discard applications that do not come with covering letters. We will then draw up a shortlist of the strongest candidates to whom we will send a skills test. On the basis of this test, we will narrow the field down to applicants for interview.
Please note, due to the high volume of applications we receive, we are unable to offer feedback on applications not carried through to interview stage.
Data Editor employer: Global Water Intelligence
Contact Detail:
Global Water Intelligence Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Editor
β¨Tip Number 1
Familiarise yourself with the water industry and its data needs. Research current trends, challenges, and key players in the sector to demonstrate your interest and understanding during any discussions or interviews.
β¨Tip Number 2
Brush up on your data management skills, especially in Excel. Being able to showcase your ability to handle large datasets, including using PivotTables or Power Query, will set you apart from other candidates.
β¨Tip Number 3
Network with professionals in the data and water sectors. Attend relevant events or webinars to connect with potential colleagues and gain insights that could be beneficial for your role as a Data Editor.
β¨Tip Number 4
Prepare to discuss your analytical thinking and problem-solving skills. Be ready to provide examples of how you've approached data analysis in the past, even if it's from academic projects or previous roles.
We think you need these skills to ace Data Editor
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Data Editor role. Focus on data management practices, analytical skills, and any experience with large datasets.
Craft a Compelling Cover Letter: In your cover letter, clearly explain why you are interested in the position and how your skills can contribute to GWI. Keep it concise, under 200 words, and ensure it reflects your enthusiasm for the role.
Showcase Communication Skills: Since the role requires clear communication of complex data, provide examples in your application of how you've effectively communicated data insights in previous roles or projects.
Highlight Attention to Detail: Emphasise your keen eye for detail in both your CV and cover letter. Mention specific instances where your attention to detail has helped avoid errors or improved data accuracy.
How to prepare for a job interview at Global Water Intelligence
β¨Show Your Data Management Skills
Be prepared to discuss your experience with data management practices. Highlight any relevant projects where you've collected, organised, or structured large datasets, as this is crucial for the Data Editor role.
β¨Communicate Clearly
Since clear communication is key in this position, practice explaining complex data concepts in simple terms. You might be asked to demonstrate how you would present data findings to a non-technical audience.
β¨Demonstrate Your Analytical Mindset
Expect questions that assess your analytical skills. Be ready to discuss how you approach data analysis and visualisation, and share examples of how you've uncovered insights from data in the past.
β¨Prepare for Networking Scenarios
As the role involves interviewing people to validate data, think about how you would approach networking with data owners. Prepare examples of how you've successfully gathered information from various sources in previous roles.