Data Analyst Job at Smart IMS Inc, Plano, TX

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  • Smart IMS Inc
  • Plano, TX

Job Description

Job Title: Data Analyst

Duration (Contract): 12 Months

Client Location: Plano, TX, USA 75023

Location Preference: Onsite

Job Description:

As a Data Analyst, you will directly contribute to enhancing the efficiency of product liability claim management, improving customer care quality, and driving strategic decision-making through data-driven insights. The specialist will play a critical role in shaping the future of PL operations by identifying opportunities for innovation, managing projects effectively, fostering cross-team collaboration, and delivering impactful reporting and presentations. Additionally, the focus on claimant management and customer care will ensure a seamless experience for customers while optimizing operational workflows. (Role is data analyst 50% + Claim Manager 50%)

Responsibilities:

  1. 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.

  1. Quality Management:
    • 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.

  1. Data Analytics and Strategic Development:
    • 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.

  1. Claim Management:
    • 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

  1. Customer Care:
    • 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

  1. Project Management:
    • 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.

  1. Cross-Team Collaboration:
    • 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.

  1. Process Improvement and Innovation:
  • 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.

  1. Reporting and Presentation:
  • 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.

Required Skills, Experiences, Education and Competencies:

  1. 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).

  1. Tools and Software:
  • 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.

  1. Experience:
  • 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.

  1. Education:
  • Bachelor's degree in a relevant field (required).
  • Fluency in Korean and English (preferred).

The hourly range for roles of this nature are $40.00 to $80.00/hr. Rates are heavily dependent on skills, experience, location, and industry.

cyberThink is an Equal Opportunity Employer.

Job Tags

Hourly pay, Contract work

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