Seaborne Market Data Analyst: Metals & Minerals

Seaborne Market Data Analyst: Metals & Minerals

Full-Time 30000 - 40000 € / year (est.) No home office possible
Medium

At a Glance

  • Tasks: Own data quality and monitor markets for metals and minerals.
  • Company: Join a diverse team at Medium, a leader in market data.
  • Benefits: Competitive salary, flexible working hours, and growth opportunities.
  • Other info: Dynamic role with a focus on continuous improvement and collaboration.
  • Why this job: Make an impact by improving data processes and supporting clients.
  • Qualifications: Experience with SQL, Python, and handling large datasets required.

The predicted salary is between 30000 - 40000 € per year.

Medium is looking for a data-focused individual to take ownership of data quality across regions and product groups. Candidates must have experience with SQL and Python for data automation, along with proficiency in handling large datasets. This role involves continuous improvement, market monitoring, and client support. Ideal candidates possess strong communication skills to bridge technical and commercial teams. Medium values diversity and welcomes applicants from various backgrounds.

Seaborne Market Data Analyst: Metals & Minerals employer: Medium

Medium is an excellent employer that fosters a collaborative and inclusive work culture, where data-driven individuals can thrive. With a strong emphasis on employee growth, we offer continuous learning opportunities and support for professional development, making it an ideal place for those looking to make a meaningful impact in the metals and minerals sector. Located in a vibrant area, our team enjoys a dynamic environment that encourages innovation and teamwork.

Medium

Contact Detail:

Medium Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Seaborne Market Data Analyst: Metals & Minerals

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those already working at Medium. A friendly chat can open doors and give you insights that might just land you an interview.

Tip Number 2

Show off your skills! If you've got experience with SQL and Python, consider creating a small project or analysis to showcase your abilities. Share it on platforms like GitHub and mention it during interviews to impress the hiring team.

Tip Number 3

Prepare for the interview by brushing up on your communication skills. Practice explaining complex data concepts in simple terms, as you'll need to bridge the gap between technical and commercial teams at Medium.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Seaborne Market Data Analyst: Metals & Minerals

Data Quality Management
SQL
Python
Data Automation
Large Dataset Handling
Continuous Improvement
Market Monitoring

Some tips for your application 🫡

Show Off Your Data Skills:Make sure to highlight your experience with SQL and Python in your application. We want to see how you've used these tools for data automation and handling large datasets, so don’t hold back!

Communicate Clearly:Since this role involves bridging technical and commercial teams, it’s crucial to demonstrate your strong communication skills. Use clear language and examples in your application to show how you can connect the dots.

Emphasise Continuous Improvement:We’re all about growth and improvement at StudySmarter. In your application, share any experiences where you’ve contributed to continuous improvement in data quality or processes. It’ll show us you’re a proactive thinker!

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at Medium

Know Your Data Tools

Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools for data automation, as this will show your hands-on experience and technical prowess.

Showcase Your Analytical Mindset

Prepare examples of how you've handled large datasets in the past. Think about challenges you faced and how you improved data quality or efficiency. This will demonstrate your ability to take ownership of data quality, which is key for the role.

Communicate Effectively

Since the role involves bridging technical and commercial teams, practice explaining complex data concepts in simple terms. You might be asked to describe a technical project to someone without a technical background, so clarity is crucial.

Embrace Diversity

Medium values diverse backgrounds, so don’t hesitate to share your unique experiences. Whether it’s a different perspective from your previous roles or a unique approach to problem-solving, let your individuality shine through during the interview.