Data Analyst

Overview:

Attero is a pioneer in urban mining, dedicated to building regenerative value chains through advanced material innovation. Headquartered in Noida, India, with a state-of-the-art recycling facility in Roorkee, Uttarakhand, Attero efficiently extracts high-purity metals such as lithium, cobalt, nickel, manganese, graphite, titanium, gold, copper, palladium, and more from end-of-life electronics and lithium-ion batteries using deep-tech solutions. Backed by over 45 granted global patents, Attero’s cutting-edge technologies ensure efficient resource recovery and environmental sustainability.

Beyond Recycling, Attero Drives Impact Through

• Selsmart: India’s largest customer takeback platform, enabling individuals to sell their old appliances and encouraging responsible practices.
• MetalMandi: A tech-enabled marketplace that streamlines metal scrap trading and formalizes the informal recycling sector.
• Green Metals: Supplying sustainably recovered metals to global industries, reducing dependence on virgin resources and supporting a circular economy.
  

The company is expanding its operations across the US and Europe while strengthening its presence in India. Attero seeks individuals who take ownership, collaborate seamlessly, bring fresh perspectives, and embrace challenges to drive transformative progress. The work culture fosters innovation, accountability, and a solution-oriented mindset, aligning with the company’s vision of creating sustainable economic, social, and environmental impact.

Position:

Data Analyst

Location:

Noida

Experience:

3–5 years of data analysis experience in a product-based company

Job Summary

As a Data Analyst, you will play a pivotal role in analyzing data from various departments. Your work will involve collecting, analyzing, and interpreting data to optimize processes, inform decision-making, and drive the profitability of our operations.

Key Responsibilities

• Data Collection and Validation
  

Gather and meticulously process data from diverse sources, ensuring its quality and accuracy.

• Data Integration
  

Combine data from disparate sources to construct a comprehensive dataset for in-depth analysis.

• Data Analysis
  

Scrutinize extensive datasets to uncover trends, patterns, and valuable insights. Employ statistical analysis and data mining techniques to extract meaningful information.

• Market Analysis
  

Examine purchase and sales data to detect trends, pricing trends, and market opportunities.

• Quantitative Assessment
  

Conduct quantitative analyses to evaluate profitability, identify cost-saving measures, and forecast demand.

• Decision Support
  

Provide critical support to various departments, particularly in feedstock sourcing and metal sales, to facilitate well-informed decision-making.

• Inventory Management
  

Monitor and oversee inventory levels, ensuring precision and timely reporting.

• Inventory Optimization
  

Develop strategies to enhance inventory turnover and minimize wastage.

• Pricing Strategy
  

Collaborate with sourcing and sales teams to formulate and refine pricing strategies based on thorough market analysis and competitor benchmarking.

• Sales Process Enhancement
  

Identify opportunities for improving the sales process, including customer segmentation and targeting.

• Campaign Evaluation
  

Assess the effectiveness of sales campaigns and initiatives.

• Data Visualization
  

Generate visual reports, charts, and dashboards to effectively communicate data-driven insights to management and stakeholders.

• Data Governance
  

Ensure data accuracy, consistency, and adherence to data governance policies.

• Data Validation
  

Implement data validation and cleansing processes as necessary.

• Reporting
  

Prepare routine reports and ad-hoc analyses to support decision-making processes throughout the organization.

Qualifications

• Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, B.tech is a must. A Master's degree is a plus.
• Strong analytical and quantitative skills, with proficiency in data analysis tools such as Python, Excel, SQL, and data visualization tools.
• Excellent problem-solving skills and attention to detail.
• Experience in the metals industry is a plus.
• Preference will be given to candidates from manufacturing, product-based, and metal industries.
• Familiarity with inventory management principles.
• Excellent communication and presentation skills.
• Attention to detail and the ability to work independently.
• Knowledge of data governance and privacy regulations (e.g., GDPR) is beneficial.
  

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunities for professional development and advancement within the company.
• Collaborative and inclusive work environment that values diversity and innovation.