Data & Business Intelligence Analyst

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description

JOB SUMMARY

This position provides strategic, analytical, and technical support for data and business intelligence activities. This position leverages data to gain key insight into business opportunities, and effectively presents these insights to business stakeholders. This position participates in the creation, distribution, and delivery of analytics reports, tables, graphs, and communication materials that effectively summarize findings and support recommendations.

Responsibilities

• Designs, develops, and maintains reports and analytical tools and performs ongoing data quality monitoring and refinement.
• Identifies and analyzes errors and inconsistencies in the data and provides timely resolutions.
• Translates data results into written reports, tables, graphs, and charts to convey information to management and clients.
• Creates ad hoc reports and views on a frequent basis to assist management in understanding, researching, and analyzing issues.
• Uses data mining to extract information from data sets and identify correlations and patterns.
• Organizes and transforms information into comprehensible structures.
• Uses data to predict trends in the customer base and consumer populations and performs statistical analysis of data.
• Identifies and recommends new ways to support budgets by streamlining business processes.

Qualifications

Requirements :

Preferences

Employee Type

Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Skills Required

Data Mining, Data Warehousing, Sql, Statistical Analysis