Data Analyst / Data Scientist

Role Overview

The ideal candidate combines strong technical and analytical capabilities and the ability to communicate complex data in a clear, meaningful way. This individual will partner closely with departments throughout the company to understand business needs, analyze trends, develop data repository, and develop analytical solutions.

What You Will Do

Analyze, profile, document, clean, validate, transform, and organize enterprise data. Design, develop, support, and troubleshoot ETL/ELT processes that move data from operational systems into a centralized data hub.

Why It Might Be a Fit

The ability to demonstrate critical and holistic thinking. The ability to collaborate with cross-functional teams. Strong analytical, troubleshooting, documentation, and problem-solving skills.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Information Technology, Statistics, Mathematics, Business Analytics, or a related field.
• 3+ years of professional experience in data analytics, business intelligence, data science, or a related discipline
• Experience with enterprise data analytics, data engineering, Microsoft SQL databases, business intelligence environments, and data warehousing solutions.
• Strong SQL skills and data modeling for analytics.
• Experience developing and supporting ETL/ELT pipelines using Microsoft ADF, and other data transformation processes.
• Experience with data cleansing, profiling, validation, and data-quality management.
• Experience developing reports, dashboards, and data visualizations.
• Experience with data lakes or other centralized data repository, cloud data platforms, data warehouses, or similar enterprise data architecture.
• Experience implementing data governance, data security, access control, and data pipelines.
• Strong analytical, troubleshooting, documentation, and problem-solving skills.
• Ability to communicate technical data concepts effectively to both technical and business audiences.
• Python or other scripting/programming language experience strongly preferred.
• Experience with APIs, and enterprise data integration technologies.
• Experience with Power BI, Teams, SharePoint preferred.
• Strong collaboration skills and ability to work effectively across IT and business departments.
• Ability to manage multiple priorities and work independently.
• Experience working with transportation, logistics, supply chain, or freight data preferred.
• Experience working with AI and ML preferred.
• Curiosity and willingness to continuously learn new technologies, analytical techniques, and business processes.

Benefits

• Medical, dental, vision – You choose which plan suits you and your family
• Single person pays 0% up to 2% of gross income.
• Entire family pays 0% up to 4% of gross income.
• 401K – 100% match up to 5% of Employees Contribution.
• 80 hours of PTO within the first 11 months.
• Holiday pay after your 90 days.
• Company paid Life Insurance.

Tagged as: Data Analysis