Data Analyst V 70372-1

Request ID: 70372-1
Start/End Dates: 6/15/2026 - 6/30/2027
Tax Work Location: US - WA - West Metro - Remote (981010)
Job Title: Data Analytics & Engineering - Data Analyst V

Responsibilities
● Work with large and complex datasets to solve challenging problems using various analytical and statistical approaches.
● Synthesize and analyze customer feedback from multiple sources (e.g., surveys, digital analytics, behavioral, and operational data) across end-to-end customer journeys to identify trends, pain points, and areas for improvement.
● Apply advanced statistical modeling, machine learning, and natural language processing (NLP) to analyze large-scale customer support interactions (e.g., chat logs, call transcripts, support tickets) and extract actionable insights.
● Use clustering and segmentation techniques to identify common customer issues and recommend targeted solutions or self-service resources.
● Develop and maintain robust reporting and dashboards to track customer experience metrics and KPIs.
● Integrate customer feedback data with other transactional, operational, and behavioral data sources to create a comprehensive picture of customer experience drivers.
● Advocate for customers and influence corrective actions through periodic and ad-hoc reporting, proactively evangelizing insights among key stakeholders.
● Collaborate with cross-functional teams to identify root causes of customer issues and develop action plans to remediate and measure effectiveness.
● Communicate complex technical concepts to non-technical stakeholders. Required Qualifications ● Degree in Analytics, Statistics, Mathematics, Computer/Data Science, Engineering, or a related field.
● 6+ years of experience in data analytics, data science, or related fields.
● 3+ years of experience in customer experience, customer support, or customer insights analytics.
● Proficiency in crafting compelling stories using complex data sources to provide actionable insights tailored to stakeholders'' needs.
● Experience creating reports, visualizations, and dashboards and communicating results and analyses to technical and non-technical audiences. ● Experience working with Customer Experience or Voice of Customer metrics (NPS, CSAT, etc.), surveys, and customer feedback. ● Strong programming skills in Python, R, and SQL.
● Proficiency in data visualization tools (e.g., Tableau, Power BI).
● Proficiency in utilizing statistical analytics techniques.
● Demonstrated ability to work collaboratively with cross-functional teams. Preferred Qualifications ● Master''s or Ph.D. Degree in a quantitative field.
● Familiarity with consumer electronics or retail business.
● Proficiency in conducting predictive analytics or running ML/AL techniques.
● Experience with machine learning libraries such as Pandas, scikit-learn, TensorFlow, or PyTorch.