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- Tasks: Extract and manage data from various regulatory documents for our innovative database.
- Company: Join Yordas Group, a leader in data management with a focus on sustainability.
- Benefits: Enjoy competitive benefits, including flexible working, generous holidays, and professional development.
- Why this job: Make an impact by transforming complex data into structured insights for a sustainable future.
- Qualifications: Experience with Python or R, strong analytical skills, and a passion for data.
- Other info: Collaborative environment with opportunities for growth and learning.
The predicted salary is between 30000 - 42000 £ per year.
Within Yordas Group, we store a lot of data about chemical substances. Our main database (Hive) contains over 294,000 substances which have been included in over 2,300 individual lists and regulations. A great many of the information sources for this data have come from government and industry, who are required to make this sort of data public. They do so in a variety of ways - often PDF documents, HTML tables, and searchable databases - with inconsistent standards of quality, usability, and implicit structure.
The first stage of the Extract, Transform and Load pipeline is to get all of the relevant substance data out of these documents in a way that can be handed off for transformation and loading onto our substances database. It is the role of Regulatory Data Technicians to carry out this vital first stage accurately and with a good level of insight into the data they are presented with. We are also in the process of developing a much more sophisticated regulatory database to manage this data, with greatly improved scope to capture regulatory and substance data in a structured way.
The ambition is to have a system that can service both our customer-facing Helix software, and integration projects that require a more granular, ordered approach to regulatory data. We will require Data Technicians to work within and give feedback on an enhanced Extract, Transform, and Load pipeline for new data, as we populate a new database to new standards.
At its core, the role will involve the extraction of data from regulatory documents and the interpretation and representation of its structure. Although what we need from a particular source and general guidelines on the output will be set, it will be up to the Technician to say what is in the document and present the data how they think is best. Support and advice will be available within the data team, but Technicians will be encouraged to use any tools and methods at their disposal to achieve their task.
Within this role, you will work alongside regulatory experts to interpret and understand the scope of regulations. Although knowledge of substance regulation is not required for this role, it will be important to be able to rapidly acquire broad knowledge of particular areas of the industry as they arise, and make decisions about approaches to data-handling based on that knowledge. This role would be particularly suitable for candidates with data processing experience, an appetite for experimenting with new methods and packages, and a talent for being able to ‘see through’ complex data structures.
Role and Responsibilities
- Working with new data sources, following rules for the extraction of the data, including output format and handling requirements
- Collaborating with data project owners to establish job priorities, and support them in ensuring that the input and output documents associated with extraction jobs are organised and managed correctly
- Working with Subject Matter Experts to understand the key data present in new source documents
- Performing quality control of the output of new extractions
- Performing transformation of raw structured data extractions to established upload formats and standards
- Working with systems developers to refine the data load process and contribute to product development
Other tasks
- Assisting colleagues in the wider team with data manipulation tasks
- Contribute to discussion about approaches and best practices within the data team
- Designing reusable tools and automated methods to assist all aspects of data management
Profile and Qualifications
Essential qualities and skills
- Experience with Python, R, or other languages suitable for data work
- Use of data extraction and data handling packages (e.g.: Pandas, Numpy)
- Experience with Excel or Google Sheets
- Logical and analytical skills
- Strong attention to detail and accuracy
- Ability to work to specifications with a questioning attitude
- A Grade 4/C in Maths and English GCSE or equivalent
- Interest in sustainability and chemical regulations
Desirable skills and qualities
- Experience with ‘relational’ structured data sets (e.g. SQL, MariaDB, PostgreSQL, etc. databases)
- Experience with web scraping methods and packages
- Advance Level qualifications in any of the following: Chemistry; Mathematics; Computer Science
- Working to or have achieved an Undergraduate degree in a STEM field, though not essential.
- Remote working experience
Staff Benefits
Dependent on location, we offer an excellent range of staff benefits, including:
- Pension Scheme and Medical Benefits
- Generous holidays
- Professional Development
- Social Culture
- Flexible working
Data Technician in Lancaster employer: Yordas Group
Contact Detail:
Yordas Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Technician in Lancaster
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your data skills. Think about how your experience with Python or data extraction tools can solve real problems at Yordas Group.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications after a week or so. A quick email can show your enthusiasm and keep you on their radar.
✨Tip Number 4
Check out our website for the latest job openings and apply directly. We love seeing candidates who are proactive and genuinely interested in joining our team!
We think you need these skills to ace Data Technician in Lancaster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Technician role. Highlight your experience with data extraction, Python, and any relevant tools like Pandas or Numpy. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data management and how you can contribute to our team. Don't forget to mention your interest in sustainability and chemical regulations!
Show Off Your Attention to Detail: In this role, accuracy is key. When filling out your application, double-check for any typos or errors. We appreciate candidates who take the time to ensure their application is polished and professional.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you're keen on joining our team at Yordas Group!
How to prepare for a job interview at Yordas Group
✨Know Your Data Tools
Familiarise yourself with the data extraction and handling packages mentioned in the job description, like Pandas and Numpy. Be ready to discuss your experience with Python or R, and how you've used these tools in past projects.
✨Understand the Role
Dive deep into what a Data Technician does, especially regarding the Extract, Transform, and Load pipeline. Think about how you can contribute to improving data quality and structure, and be prepared to share your ideas during the interview.
✨Show Your Analytical Skills
Prepare examples that showcase your logical and analytical skills. Discuss situations where your attention to detail made a difference, especially when working with complex data structures or regulatory documents.
✨Ask Insightful Questions
Come equipped with questions that show your interest in the company’s data management processes and future developments. Inquire about the tools they use for data manipulation and how the team collaborates on projects to demonstrate your enthusiasm for the role.
