Data Analyst (Korean Bilingual - Preferred)

Title: Data Analyst (Korean Bilingual – Preferred) Client: Global leader in Technology/ Electronics Duration: 12 months contract with high chance for extension or permanent employment Work Location: Plano, TX (M-F, Fully onsite) Pay rate: $28-32.22hr W2 + Benefits Top Skills / Experience • Bachelor's degree • 2-3 years of relevant experience in data analysis • SQL • Data visualization tools like Tableau or Power BI • Python • Korean Bilingual highly preferred Key Responsibilities2. Quality Management:3. Data Analytics and Strategic Development:4. Claim Management:5. Customer Care:6. Project Management:7. Cross-Team Collaboration:8. Process Improvement and Innovation:9. Reporting and Presentation: • Customer Experience Management: • Analyze end-to-end customer processes to identify pain points and develop suitable resolutions within controlled turnaround times. • Map claim journeys to ensure data systems are equipped with relevant functions for identifying and prioritizing process improvement opportunities. • Create and implement back-office strategies to enhance system efficiency and operational workflows. • Manage operations staff to ensure maximum productivity, monitor key performance indicators (KPIs), and develop individual growth plans to improve customer care quality. • Monitor and review customer calls/tickets for quality control, ensuring the competitiveness of customer care services. • Conduct periodic and ad-hoc analyses to uncover critical insights that drive customer care performance and inform strategic initiatives. • Leverage data and systems to connect the dots across PL operations, identifying opportunities for process optimization and innovation. • Perform advanced data analysis using statistical techniques (e.g., regression analysis, variance analysis) to derive actionable recommendations. • Develop and maintain dashboards using tools like Tableau or Power BI to visualize key metrics and trends. • Collaborate with IT teams to ensure seamless data sourcing, flow, and system integration. • Support cross-functional projects by providing data-driven insights to align with stakeholder needs. • Oversee the management of claims throughout the product liability claim process, ensuring timely resolution of claims. • Develop strategies to improve claimant satisfaction by streamlining communication channels and reducing claim resolution times. • Analyze claimant data to identify trends and patterns that can inform future product safety improvements. • Contact subrogation adjuster and/or attorney to obtain claim information/document to process the claim • Enhance customer care processes by implementing data-driven strategies that improve response times and customer satisfaction. • Monitor customer care performance metrics to identify areas for improvement and implement corrective actions. • Contact customer at times to support product/claim accommodation • Lead and manage end-to-end project execution, ensuring timely delivery of objectives within scope, budget, and quality standards. • Develop project plans, including timelines, resource allocation, and risk management strategies. • Monitor project progress, identify potential roadblocks, and implement corrective actions to ensure successful outcomes. • Document project deliverables, lessons learned, and best practices for future reference. • Work closely with other teams, including IT, Customer Care, Legal, and Product Development, to align on goals, share insights, and drive operational improvements. • Facilitate communication between teams to ensure alignment on project objectives and timelines. • Act as a liaison between technical teams and business stakeholders to bridge gaps in understanding and foster collaboration. • Participate in cross-functional meetings to contribute data-driven insights and support decision-making. • Design and document business processes, workflows, and technical specifications for process improvement initiatives. • Conduct root cause analysis to identify inefficiencies and propose actionable solutions. • Stay updated on industry best practices and emerging technologies to drive continuous improvement in PL operations. • Develop comprehensive PL reporting to provide insights into operational performance, claim trends, and risk management. • Create professional PowerPoint presentations for executive-level meetings to communicate key findings, recommendations, and strategic initiatives. • Ensure reports and presentations are clear, concise, and visually appealing to effectively convey complex data insights. Skills And Qualifications2. Tools and Software:3. Experience:4. Education: • Technical Skills: • Proficiency in SQL for data extraction and manipulation. • Strong understanding of statistical analysis techniques (e.g., regression, variance analysis). • Expertise in data visualization tools like Tableau or Power BI. • Proficiency in Python or R for data analysis and machine learning model development (Pandas). • Experience with database management systems (e.g., MySQL). • Advanced knowledge of Excel, including automation using VBA. • Familiarity with CRM systems, SAP, or call management tools. • Demonstrated experience in business process design and improvement. • Proven ability to interact with IT teams for data/system optimization. • Experience in developing Tableau dashboards or similar platforms (Power BI, Domo). • Strong analytical skills with a focus on root cause analysis. • Experience in project management, including planning, execution, and monitoring. • Bachelor's degree in a relevant field (required).