Data/Tech Support Analyst (Bilingual Mandarin/English) at SpeedX Data/Tech Support Analyst (Bilingual Mandarin/English) at SpeedX in Schiller Park, Illinois Posted in 2 days ago.

Type:

full-time About Speed Xpress Inc. Founded in 2022, SpeedX offers a superior last-mile delivery experience designed to better connect brands to customers. At SpeedX, we're more than just a delivery company - we're partners in success. We believe that ecommerce delivery shouldn't be a hassle, a financial strain, or a source of stress for businesses. We created a next-level delivery experience that's designed to meet business's needs, exceed their expectations, and future-proof their ecommerce business. In just three years of business, we have grown our client list to over a dozen online marketplaces, 3PLs and direct retailers and are now delivering over 300,000 packages daily worldwide - with the number constantly growing. And we have no plans of slowing down.

Location:

Chicago Work Arrangement:

On-site Bilingual English and Mandarin required Position Summary We are seeking a detail-oriented and technically skilled Data/Tech Support Analyst to serve as the bridge between business users, BI teams, and technical teams. This role will be responsible for troubleshooting data and system issues, supporting end users, analyzing data to identify root causes, and helping improve system reliability and operational efficiency. The ideal candidate will have strong SQL and Python skills, excellent troubleshooting ability, and the ability to communicate technical findings clearly to both technical and non-technical stakeholders. Key Responsibilities Serve as the primary point of contact for business users, triage data and system-related issues, and coordinate with business, product, BI, and engineering teams to drive timely resolution. Use SQL and Python to investigate logs and data, diagnose system or data pipeline issues, and identify root causes of user-reported problems. Provide routine system configuration, account, and permission support, including on-site and shift-based support as needed. Monitor and validate data accuracy across reports, dashboards, and data feeds, and proactively identify and escalate data quality issues. Build and maintain operational dashboards and recurring reports to track support metrics, system health, and issue resolution trends. Communicate investigation results and data findings clearly to both technical and non-technical stakeholders. Collaborate with BI Developers, Data Engineers, and Product teams to resolve reporting, data pipeline, and user data-related issues. Participate in UAT and QA activities, conduct post-incident reviews, document lessons learned, and maintain support playbooks and knowledge base documentation. Maintain data definitions, KPI standards, and governance documentation while identifying opportunities to improve data tools and support processes. Leverage AI-assisted analytics tools to improve investigation efficiency, trend analysis, and insight generation. Qualifications Bachelor's degree in Data Analytics, Business Analytics, Statistics, Economics, Information Systems, Finance, or a related field. 2+ years of experience in data analysis, technical support, or a hybrid data/operations support role. Strong analytical, troubleshooting, and problem-solving skills. Ability to independently investigate and resolve data and system issues. Strong communication skills with the ability to explain technical findings to non-technical audiences. Experience providing user-facing support and comfort with on-call or shift-based support arrangements. Required Technical Skills Python SQL Microsoft Excel Power BI, Tableau, or similar reporting/dashboard tools Statistical analysis Business analysis Attribution analysis Trend and KPI analysis AI-assisted analytics tools Data interpretation and storytelling Presentation and communication skills Preferred Qualifications Experience working with BI and data warehouse environments Familiarity with dimensional data models and enterprise reporting concepts Experience supporting operational, financial, or executive reporting Knowledge of data quality validation and UAT processes Experience working with cross-functional business teams Experience in logistics, operations, or technical support Familiarity with API integration, log analysis, and monitoring/alerting mechanisms