Data & Business Intelligence Analyst

UPS•Centennial, CO

22h•$78,960 - $128,340•Onsite

About The Position

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.

Requirements

Strong analytical skills and attention to detail.
Proven ability to quickly learn new applications, processes, and procedures.
Able and willing to collaborate in a team environment and exercise independent judgement.
Excellent verbal and written communication skills.
Ability to form good partner relationships across functions.
Intermediate knowledge of SQL and tools that leverage SQL language
Demonstrated experience in writing software requirements and test specifications, as well as using data to drive business decisions.
Bachelor’s degree, international equivalent, or at least 3 years of relevant UPS experience.
Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.

Nice To Haves

Bachelor's Degree (or internationally comparable degree) – Business/Economics, Computer Science, Engineering, Marketing, MIS, Mathematics, or related discipline.
Experience with data warehousing, data science software, or similar analytics/business intelligence systems.

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.