Junior Data Analyst - #247752

About Us:

EMR is one of the world’s leading metal recycling companies with a history spanning decades. At EMR, our employees are the heart and soul of our organization. We are committed to creating a workplace that prioritizes the well-being and safety of everyone. Our company provides a supportive and inclusive community where everyone's ideas and contributions are valued. We believe in teamwork and collaboration.

Our mission is to provide our customers with efficient and reliable metal recycling services while minimizing the environmental impact of our operations. EMR recycles ten million tons of material annually, everything from beverage cans to aircraft carriers. We work with a wide variety of metals including copper, aluminum, brass, and stainless steel and can recycle it into more than 200 different types of new sustainable raw materials.

EMR offers our team a competitive salary and a comprehensive benefits package, including health insurance, retirement plans with company match, wellbeing benefits, employee assistance program and more. Join us and be a part of a team that puts people first!

At EMR USA, we are committed to data-driven decision-making and are looking for a skilled and motivated Junior Data Analyst to join our growing team. If you have 1-2 years of experience in data analysis and a strong background in SQL, we want to hear from you! This is a fantastic opportunity to make a meaningful impact by transforming raw data into valuable insights in a collaborative and dynamic work environment. This role is worked at our US HQ in Camden, NJ. There is no opportunity to go remote or hybrid.

Position Overview:

As a Junior Data Analyst, you will support the organization's data-driven initiatives by collecting, analyzing, and presenting data to key stakeholders. This role is ideal for individuals with strong analytical skills, attention to detail, and a passion for using data to drive decision-making. You will be working closely with cross-functional teams to provide valuable insights and help the company achieve its goals.

Key Responsibilities:

• Data Collection & Validation:
• Gather and compile data from multiple sources while ensuring its accuracy and completeness.
• Verify and validate data to maintain its integrity and reliability.
• Data Analysis:
• Analyze large datasets using SQL and other analytical tools to identify trends, patterns, and anomalies.
• Provide actionable insights through detailed analysis and data interpretation.
• Prepare and present reports to summarize key findings and trends.
• Data Distribution:
• Utilize existing models to verify and distribute critical business information.
• Enhance and update models to meet evolving business needs and improve daily operations.
• Data Visualization:
• Create clear, effective, and visually appealing data visualizations (charts, graphs, dashboards) to communicate findings to non-technical stakeholders.
• Collaboration:
• Work closely with other departments to understand data needs and provide data-driven support.
• Collaborate with cross-functional teams to drive data-driven decision-making across the organization.
• Documentation:
• Document data analysis methodologies, processes, and results for future reference.
• Contribute to the development of standard operating procedures (SOPs).
• Continuous Learning:
• Stay current with industry trends, tools, and best practices in data analysis.
• Participate in ongoing training and professional development to enhance your skills.
  
  

Qualifications:

• Required:
• 1-2 years of professional experience in data analysis.
• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Strong proficiency in SQL (experience writing complex queries, joins, and data manipulation).
• Familiarity with data analysis tools such as Excel, Knime, Python, or R.
• Ability to interpret data trends and patterns and provide actionable insights.
• Strong attention to detail and commitment to data accuracy.
• Excellent communication skills, with the ability to present complex findings in a clear, concise manner.
• Ability to work both independently and as part of a team.
• Preferred:
• Experience with data visualization tools such as Tableau.
• Basic knowledge of machine learning concepts.
• Experience in data cleaning and preprocessing techniques.
• Advanced knowledge of Excel formulas such as INDEX, MATCH, V/HLOOKUPS, and pivot tables (macros are a plus).
  
  

Other Job Demands:

• Work will generally be performed in a traditional office environment at our corporate office in Camden, NJ, with occasional travel to our scrap metal recycling facilities.
• Working hours may vary, including early mornings, evenings, or weekends as needed.
• The position may require light physical work, including lifting and carrying light weights.
• Travel requires the ability to drive and use a personal vehicle.
  
  

Why Join Us?

• Be part of a dynamic and growing team that values data-driven decision-making.
• Opportunities for continuous learning and professional growth.
• Collaborative and supportive work environment.
• Competitive compensation and benefits.
  
  

If you’re passionate about data analysis and ready to make a significant impact within a growing organization, apply today!

EMR USA Metal Recycling provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

• E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve lawful workforce.