Data Analyst bei Total Quality Logistics (TQL)

About the role:  A Data Analyst for TQL will build scalable reports, visualizations, and models to uncover insights and drive business decisions. They will help identify and resolve issues with existing reports and discover future solutions utilizing industry-leading technologies. Responsibilities include collaborating on large-scale operational questions with an analytical mindset to help the business make informed decisions.What's in it for you: Competitive base salary of $60,000 – $72,000, plus a comprehensive benefits package and company perks.Advancement opportunities with aggressive and structured career paths Flexible work hours and work-from-home options Access to the latest emerging technologies  Reimbursement for continuous education and technical training Be a part of a company with a history of investing in people and technologyWe win wherever we go – Voted a 2019-2025 Computerworld Best Places to Work in IT What you’ll be doing: Consult with end users across multiple departments to understand reporting needs and challenges Perform exploratory data analysis and apply statistical methods to identify trends, patterns, and correlations within the dataTake ownership of reporting and analytic solutions from inception to completion, providing follow-up communication and deliverables until requirements are met Deliver results with accuracy and urgency on multiple projects Provide quality customer service to a diverse group of internal customers   What you need: Bachelor's degree in Analytics, Computer Science, Economics, Statistics or related 1-3 years of professional IT experience (internships/co-ops qualify) Basic knowledge of a programming language commonly used in data analysis, such as Python or RExceptional aptitude for applied mathematics, statistics and computer programming SQL Server Management Studio (SSMS) or other Relational Database Management Systems (RDBMS) like MySQL, Oracle, or PostgreSQLExposure to data modeling with Star and Snowflake schemasFamiliarity of database concepts such as Normalization, Entity Relationship Diagrams, and Row Level Security (RLS)Strong verbal and written communication skillsExposure to data visualization concepts and techniquesEmployment visa sponsorship is unavailable for this position. Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, J1 etc.) will not be considered. Jetzt bewerben