Data Analyst at ARM Hold Co.

Summary

• The incumbent will be responsible for turning complex data sets into actionable insights to support data-driven decision-making across the organization.

Responsibilities

• Collect, clean, and validate data from various sources, ensuring the accuracy, consistency, and reliability of data sets.
• Perform in-depth data analysis using advanced statistical tools and techniques to identify trends, patterns, and correlations in complex data sets.
• Develop and maintain data models, reports, and dashboards, using data visualization tools such as Tableau or Power BI, to effectively communicate insights to stakeholders.
• Collaborate with cross-functional teams to define key performance indicators (KPIs), understand their data needs, and develop data-driven solutions to support decision-making.
• Design and implement data collection systems, strategies, and procedures to improve data quality and efficiency.
• Monitor and maintain data quality and integrity by identifying and addressing inconsistencies and errors in data sets.
• Continuously improve data analysis processes and methodologies to ensure efficiency, effectiveness, and alignment with industry best practices.
• Stay current with industry trends, advancements in data analytics tools and technologies, and emerging data analysis techniques.
• Mentor and provide guidance to entry-level data analysts, assisting them in developing their skills and knowledge.
• Lead and manage data-related projects, ensuring timely delivery and alignment with stakeholder expectations.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 3-5 years of experience in data analysis or a related field, with a proven track record of delivering data-driven insights.
• Advanced proficiency in programming languages (e.g., Python, R, SQL) and experience with data analysis tools and libraries (e.g., Excel, Tableau, Power BI).
• Strong knowledge of statistical concepts, data analysis techniques, and machine learning algorithms.
• Excellent analytical and problem-solving skills, with the ability to draw conclusions from complex data sets and provide actionable recommendations.
• Exceptional attention to detail and commitment to data accuracy.
• Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
• Strong organizational and project management skills, with the ability to manage multiple tasks and priorities simultaneously.
• Experience working with database management systems (e.g., SQL Server, MySQL, PostgreSQL) and ETL processes.
• A proactive and curious mindset, with a passion for using data to drive business decisions.