Data Analyst 2

Job Summary

Collects, analyzes, and interprets operational data to improve distribution performance and support data-driven decision-making. Focuses on executing well-defined analytic work with growing autonomy.

Responsibilities

• Collect, cleanse, transform, and analyze large operational datasets to identify trends, risks, and opportunities for improvement.
• Develop, enhance, and maintain dashboards, reports, and visualizations using Tableau Desktop or similar tools.
• Apply statistical and analytical techniques to perform descriptive, diagnostic, and trend-based analysis.
• Translate business questions into structured analytical approaches and clearly communicate findings and recommendations.
• Validate and quality-check data sources, queries, and visualizations to ensure accuracy, consistency, and reliability.
• Partner with cross-functional teams to understand operational needs and deliver analytical solutions aligned with business priorities.
• Support the implementation of improved reporting methodologies, automation, or analytical tools.
• Maintain documentation and adhere to established departmental, IT, and project management standards.
• Prioritize and manage multiple analytical requests in alignment with business objectives and timelines.

Qualifications

• Required: Bachelor’s degree in a related field required (Data Analytics, Data Science, Computer Science, Math, Cyber Security, Information Technology, etc.), or 5+ years of relevant experience.
• Relevant experience with Tableau or PowerBI required.
• Preferred experience in a warehouse setting or manufacturing.
• 1-3+ years of experience in SQL, including queries, joins, transformations, and data aggregation.
• 1-3+ years of experience with Tableau Desktop, PowerBI, or equivalent data visualization tools.
• Entry-level to moderate experience performing data analysis and reporting, and utilizing analytical and problem-solving skills.
• Working knowledge of data warehousing concepts, data modeling, and ETL processes.
• Proficiency in Microsoft Office tools, including Excel and SharePoint.
• Ability to follow standardized processes related to project management, data governance, and IT security.
• Strong verbal and written communication skills, with the ability to explain technical concepts to non-technical audiences.
• Preferred: Experience with Snowflake, Microsoft SQL Server Management Studio (SSMS), Oracle GoldenGate, DBeaver, etc.
• Experience with Tableau Prep, Alteryx, or similar data preparation tools.
• Experience using Python or R for analytics or automation.
• Experience working within a team, and with other teams or departments.