At a Glance
- Tasks: Analyse data using Excel to provide insights and support decision-making.
- Company: Join a forward-thinking team shaping the future of AI.
- Benefits: Flexible remote work, competitive pay, and opportunities for growth.
- Other info: Collaborative environment with a focus on innovation and learning.
- Why this job: Make an impact by training AI systems with your data expertise.
- Qualifications: Experience in data analysis with strong Excel skills required.
The predicted salary is between 31500 - 38500 £ per year.
Job Title
Data Analyst (Excel)
Job Type
Contractor
Location
- Remote
- Job Summary
In this role, you'll apply your expertise to help train next-generation AI systems.
Your work will shape how models learn, reason, and perform through high-quality, real-world input.
No prior experience in AI is required — your domain knowledge is what matters.
Key Responsibilities
- Conduct in-depth data analysis using Microsoft Excel to extract actionable insights and support decision-making across teams.
- Collaborate with project stakeholders to understand data requirements and translate them into meaningful analyses.
- Review, clean, and validate datasets to ensure accuracy, consistency, and integrity.
- Develop clear, concise reports and visualizations to communicate findings to both technical and non-technical audiences.
- Identify trends, anomalies, and opportunities in complex datasets, contributing to strategic initiatives.
- Document methodologies, results, and recommendations with meticulous attention to detail.
- Contribute expertise to enhance data-driven decision-making processes within the customer's team.
- Required Skills and Qualifications
- Proven experience performing data analysis in a business environment using Microsoft Excel as the primary tool.
- Exceptional attention to detail and accuracy in data processing and reporting.
- Strong written and verbal communication skills, with the ability to clearly articulate analytical findings.
- Demonstrated ability to work collaboratively across teams to drive business outcomes.
- Solid understanding of Excel functions, formulas, and data visualization tools.
- Proficiency in identifying data inconsistencies and implementing corrective measures.
- Experience working in fast-paced, data-driven organizations.
- Preferred Qualifications
- Experience supporting cross-functional teams with data insights to inform business strategy.
- Background in presenting analytical outcomes to diverse audiences.
- Familiarity with additional data analysis tools or business intelligence platforms.
- #J-18808-Ljbffr
Data Analyst (Excel) - Remote employer: YO AI Labs
At YO AI Labs, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to push the boundaries of technology in game development. As a Remote Engine & Rendering Engineer, you will have access to cutting-edge tools and resources, along with ample opportunities for professional growth and collaboration with talented peers. Our commitment to work-life balance and a supportive environment makes us an exceptional employer for those seeking meaningful and rewarding careers in the gaming industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (Excel) - Remote
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Data Analyst (Excel) - Remote
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Data Analyst (Excel) - Remote at YO AI Labs, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at YO AI Labs.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at YO AI Labs
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
