MODE Global is the 5th largest truckload broker and largest non-asset intermodal provider in North America. With over 200 agents/offices distributed from coast to coast,
MODE Global operates under a family of businesses and brands, delivering as a premier full-service solutions provider to the logistics industry
Senior Data Analyst
Job Summary:
The Senior Data Analyst will serve as a Liaison between Business Stakeholders, Business Product owners and data analytics teams, translate business requirements to functional requirements for data products and work with business and IT SLT to manage data quality and data governance. This role will be the data product manager and subject matter expert for data process, metrics, KPIs, data flow in and out of data warehouse systems.
Essential Job Functions:
• Understand high-level business objectives and translate business requirements to technical requirements for data teams and partner IT teams.
• Build a deep understanding of data, data fields, transactions, and workflows. Hands on experience in SQL and Analytics tools like Azure and PowerBI, to interpret data for adhoc analysis and automated dashboards, reporting.
• Adopt best practices in reporting and analysis: data analysis, design & development, data integrity, test design, data validations, and documentation.
• Comfortable in understanding data model, data structure, data flow and data analytics applications.
• Partner closely with business teams and technical teams to understand business problems and identify requirements. Participate in requirement and data analysis ,report design sessions with cross-functional teams.
• Produce accurate, consistent and timely reporting by extracting information from various applications and systems, manipulating data and developing user friendly final outputs leveraging Azure, PowerBI and other data analytics applications.
• Lead data quality framework and QA,UAT efforts with business and engineering teams.
• Identify reporting processes that are inefficient and create/change processes that will lead to measurable gains in data quality and reporting processing time.
• Actively champion data analytics best practices and contribute towards data quality initiatives. Partner with data teams to improve data assets, quality, metrics and insights.
• Define the business problem and solution approach autonomously with limited guidance.
• The ideal candidate can collaborate with users, project managers, developers, and business analysts to understand and translate business needs into data analytics products and has experience effectively coordinating data analytics and data integration efforts.
• Excellent written and oral communication skills, with the ability to build strong relationships with internal stakeholders.
• Must be comfortable working in an offshore-onshore model.