At a Glance
- Tasks: Ensure data accuracy and consistency by reviewing outputs and flagging issues.
- Company: Join Obsidian, a forward-thinking company focused on quality and reliability.
- Benefits: Flexible contract work with the opportunity to collaborate globally.
- Other info: Work asynchronously with a diverse team across different time zones.
- Why this job: Make a real impact by maintaining high-quality standards in data projects.
- Qualifications: Attention to detail and strong communication skills are essential.
The predicted salary is between 40500 - 49500 £ per year.
Obsidian is hiring Quality Analysts on a contract basis to help ensure the accuracy, consistency, and reliability of data.
You’ll play a key role in reviewing outputs, flagging issues, and helping us maintain a high bar for quality across projects.
You’ll work asynchronously with a distributed team across time zones, identify errors, document them clearly, and provide structured, actionable feedback to contributors and stakeholders.
#J-18808-Ljbffr
Contract Data Quality Analyst Insightful Feedback & Metrics in London employer: Obsidian
Obsidian is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration among experts in the field. Employees benefit from a fast-start program with opportunities for growth and extension, alongside a commitment to quality in AI model training that makes a meaningful impact in genomics. With a focus on professional development and a supportive environment, Obsidian is dedicated to empowering its team members to excel in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Contract Data Quality Analyst Insightful Feedback & Metrics in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Obsidian before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Obsidian.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Obsidian.
We think you need these skills to ace Contract Data Quality Analyst Insightful Feedback & Metrics in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Obsidian, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Obsidian, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Obsidian’s attention and show the tangible impact of your work.
How to prepare for a job interview at Obsidian
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Obsidian.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Obsidian.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Obsidian.
