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Remote, generalist data analyst title, and 2-4 year mid-level experience increase applicant density.
Data analytics and visualization skills are highly transferable across industries.
Explicit 2-4 years requirement plus mandatory Tableau, SQL, and data-management skills raise screening strictness.
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Owns logistics operational reporting and acts as SME for operational data within global client systems.
Implements data quality controls, maintains data integrity, and ensures timely dashboard refreshes and performance.
Builds and maintains dynamic Tableau dashboards and reports using multiple data sources including SQL, Excel, Anaplan, and internal tools.
2-4 years of experience in operational data analytics and visualization.
Proficiency in Tableau (Desktop, Server, Prep), MS Excel, and SQL (Oracle, Hive, MySQL).
Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Business, or related field.
Familiarity with Python, R, or SAS for data analysis and automation.
Experienced in managing and optimizing data flows and dashboards across multiple data sources in a logistics or operational environment.
Able to translate complex data sets into actionable insights and effectively communicate with diverse stakeholders.
Skilled in maintaining data quality controls and automating reporting processes to support leadership decision-making.