Company Overview

AMEENJI RUBBER LIMITED, an ISO 9001-2015 certified company based in Hyderabad, specializes in manufacturing elastomeric bridge bearings, POT-PTFE bearings, and expansion joints, all conforming to IRC codes. With products approved by Indian transport authorities and a workforce of 201-500 employees, the company leads in wholesale import and export. Learn more at www.ameenji.net.

Job Overview

The Data Mining Specialist (Junior Level) at AMEENJI RUBBER LIMITED will be responsible for extracting, analyzing, and presenting data-driven insights to support business operations and market expansion. This full-time position is based at the company headquarters in Hyderabad and targets candidates with strong analytical and technical skills to assist in leveraging big data and market trends to inform strategic decisions.

Qualifications and Skills

• Data Mining (Mandatory skill): Demonstrated experience in extracting and interpreting complex datasets to derive actionable business insights and trends (Mandatory skill).
• Market Research (Mandatory skill): Proven ability to conduct comprehensive market research, analyze industry trends, and generate reports for strategic planning (Mandatory skill).
• Cloud Source (Mandatory skill): Hands-on expertise in sourcing and managing data using cloud technologies for robust analytics and data storage solutions (Mandatory skill).
• Data Cleansing: Strong capability to clean, validate, and prepare raw data for analysis to ensure high-quality, reliable data for decision-making.
• Big Data Analytics: Experience utilizing big data tools and frameworks to process large datasets, revealing patterns and relationships meaningful to the business.
• Statistical Analysis: Proficiency in statistical methods and software for interpreting data and generating reports that drive business solutions.
• Predictive Modeling: Ability to develop predictive models using historical data to forecast business outcomes and guide proactive strategies.
• Business Intelligence: Knowledge of business intelligence tools and techniques for converting data into comprehensible dashboards and visual presentations.

Roles and Responsibilities

• Extract, cleanse, and analyze large datasets from internal and external sources to identify key market opportunities and operational improvements.
• Leverage market research techniques to gather and interpret data on customer behavior, industry developments, and competitor activities.
• Utilize cloud-based tools to securely source, store, and process data, ensuring efficient data management and access.
• Apply statistical analysis and predictive modeling to forecast trends and support strategic business decisions in alignment with company goals.
• Generate detailed business intelligence reports and analytics dashboards for stakeholders and management review.
• Collaborate with cross-functional teams to translate data-driven insights into actionable recommendations for product and market development.
• Maintain up-to-date documentation of data mining procedures, methodologies, and results for transparency and knowledge sharing.
• Continuously evaluate and implement best practices for improving data accuracy, integrity, and analytical processes within the organization.