IT Data Science Analyst - Atlanta, GA

CRH Americas - Dunwoody, GA

Full-time - Entry Level

Dunwoody, GA

Nonmetallic Mineral Product Manufacturing

About the position

The Data Science Analyst at Oldcastle APG will be responsible for analyzing large data sets to derive insights that support business decisions. This role involves data cleaning, exploratory analysis, predictive modeling, and effective communication of findings to stakeholders. The analyst will collaborate with various teams to ensure data initiatives align with business needs and will stay updated on the latest data science techniques.

Responsibilities

• Gather, clean, and integrate large data sets from various sources (databases, APIs, IIoT etc.)
• Identify and address data quality issues and ensure data integrity
• Conduct exploratory data analysis to uncover patterns, trends, and insights
• Utilize statistical methods to analyze data and interpret results that support business decisions
• Develop and implement predictive models using machine learning algorithms (e.g., regression, classification, clustering)
• Optimize and fine-tune models for accuracy and efficiency
• Create dashboards and reports to communicate insights clearly to stakeholders
• Use data visualization tools (like Tableau, Power BI, or Python libraries) to present findings and make complex data understandable
• Work closely with data engineers, business analysts, and Data Scientists to align data initiatives with business needs
• Stay updated with the latest data science and machine learning techniques
• Suggest and implement process improvements to enhance data collection, analysis, and reporting

Requirements

• Proficiency in programming languages such as Python or R
• Experience with SQL for database querying
• Familiarity with data visualization tools (e.g., Tableau, Power BI)
• Understanding of statistical analysis, data mining, and machine learning
• Strong problem-solving abilities and attention to detail
• Ability to interpret complex data and provide actionable insights
• Excellent communication skills to present findings to non-technical audiences
• Collaborative mindset and the ability to work in cross-functional teams
• Bachelor's degree in a related field (e.g., Data Science, Statistics, Mathematics, Computer Science, or Economics)
• 1-3 years of experience in data analysis or a similar field

Nice-to-haves

• Advanced degrees or certifications in data science, machine learning, or business analytics

Benefits

• Highly competitive base pay
• Comprehensive medical, dental and disability benefits programs
• Group retirement savings program
• Health and wellness programs
• A diverse and inclusive culture that values opportunity for growth, development, and internal promotion