Data Analyst

Company Description

IMCO Alloys is a global leader in advanced wear-resistant solutions, specializing in the development, manufacturing, and application of high-performance alloys and coatings for steel, mining, cement, and sugar industries. With over three decades of innovation, IMCO Alloys delivers products that enhance operational efficiency, reduce downtime, and significantly extend the lifespan of critical industrial components.

Operating across multiple geographies, IMCO is committed to sustainability, precision engineering, and customer-centric solutions. Our state-of-the-art manufacturing facilities, dedicated R&D, and robust service network ensure we remain a trusted partner for clients in addressing demanding wear challenges in heavy industries.

Role Overview

Data Analyst

The role focuses on turning large volumes of operational and business data into actionable insights that improve efficiency, profitability, and decision-making.

This person will work closely with management to prepare reports, dashboards, and analysis as per business needs including performance tracking, variance analysis, and trend identification.

Key Responsibilities

Data Collection & Consolidation

• Gather, clean, and organize data from ERP, sales, store, purchase, and production systems.
• Ensure data accuracy, completeness, and consistency across multiple sources.

Analysis & Reporting

• Perform regular and ad-hoc data analysis as directed by management.
• Generate dashboards and reports for KPIs such as production output, efficiency, sales performance, inventory levels, and procurement trends.
• Identify patterns, correlations, and anomalies to support process improvement.

Visualization & Presentation

• Create easy-to-understand reports and dashboards using tools like Excel, Power BI, or Google Data Studio.
• Present findings clearly to management and operations teams.

Data Process Improvement

• Recommend improvements in data collection and reporting processes.
• Support integration between data systems and reporting workflows.

Cross-Functional Collaboration

• Coordinate with Production, Sales, Purchase, and Store departments for data inputs and validation.
• Work with management to define analysis requirements and metrics.
  

Skills & Competencies

• Strong analytical and problem-solving skills.
• Excellent knowledge of

  MS Excel

  (pivot tables, lookups, formulas, etc.) and familiarity with

  Power BI

  or similar visualization tools.
• Working knowledge of

  ERP systems

  (experience with manufacturing ERPs preferred).
• Basic understanding of

  SQL

  ,

  Google Sheets

  , or data manipulation tools.
• Attention to detail and ability to manage large datasets accurately.
• Good communication skills to interpret and present data insights clearly.