Data Analyst V

This is a fully remote position, open to applicants in United States.

📋 Description

• Analyze extensive and intricate datasets utilizing SQL, Python, or R, along with statistical methodologies to uncover customer experience trends, challenges, and areas for enhancement.

• Integrate customer signals from surveys, digital analytics, behavioral information, operational metrics, and customer support interactions throughout the complete customer journey.

• Employ statistical modeling, predictive analytics, machine learning, and natural language processing on customer support dialogues, transcripts, and tickets.

• Create customer segmentation and clustering models to pinpoint prevalent customer issues and propose targeted solutions.

• Combine customer feedback with transactional, operational, and behavioral data to discern factors driving customer satisfaction and business results.

• Design, implement, and launch scorecards for customer experience and support metrics to monitor KPIs and assess performance.

• Utilize Generative AI tools, large language models, and AI agents to automate analyses, cleanse datasets, generate visual representations, and optimize workflows.

• Measure the business impact and ROI of customer experience initiatives.

• Present analytical findings through reports and presentations, influencing stakeholders and prompting corrective measures.

• Participate in internal practice community meetings and collaborate on industry thought leadership.

• Develop client case studies and create learning materials, including blogs and media content.

• Prepare materials for the Digital Transformation practice.

• Attend internal networking events and collaborate with leadership on fast-track career opportunities.

⛳️ Requirements

• A Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, Data Science, Engineering, or a similar discipline is required.

• Over 8 years of experience in data analytics, data science, or a closely related field.

• More than 2 years of experience in customer experience, customer support, customer insights analytics, or marketing analytics.

• Proficient SQL programming skills and expertise in Python or R.

• Strong knowledge of statistical analysis methods, including correlation analysis, multivariate regression, and feature-importance techniques.

• Experience with predictive analytics, machine learning, or AI methodologies.

• Familiarity with AI-powered analytical tools and Generative AI technologies, such as LLMs and AI agents.

• Capability to convert complex data from diverse sources into clear, actionable insights customized to stakeholder requirements.

• Proven ability to work collaboratively with cross-functional teams and convey technical findings to non-technical audiences.

• Candidates must be available to work during Central or Pacific Time hours.

• Direct W2 candidacy is mandatory; sponsorship is not available.

🏝️ Benefits

• Comprehensive medical benefits.

• Dental insurance.

• Vision insurance.

• Life insurance.

• 401(k) plan.

• 401(k) matching.

• Paid holidays.

• Networking opportunities and career learning and development programs.

• Potential for contract extension or conversion.