Customer Experience Analytics Data Scientist

Location: Merrifield, Virginia (Hybrid)

Role Overview: We are seeking a motivated analytics professional focused on customer experience who is passionate about solving business problems through data. This role is ideal for an individual who enjoys combining exploratory analysis, statistical methods, experimentation, and modeling techniques to uncover insights and drive impact. You will collaborate with cross-functional partners across product, technology, and business teams to transform complex questions into actionable insights.

Key Responsibilities: Analyze member digital behavior using Python and SQL.Conduct exploratory data analysis to identify patterns in product adoption, engagement, and customer experience. Partner with business stakeholders and product teams to solve digital experience challenges. Develop, automate, and maintain analytical solutions that provide actionable business insights. Apply analytical and statistical methods to understand customer behavior and evaluate digital experiences. Apply text analytics and NLP techniques to summarize and classify customer feedback. Analyze app reviews, surveys, and other digital feedback sources to conduct Voice of the Customer (VoC) research. Translate analytical findings into clear recommendations, dashboards, and presentations for business and executive audiences.

Education: Bachelor's degree in data science, business analytics, statistics, applied mathematics, economics, or another quantitative or analytical field.

Experience: 1-5 years of experience conducting data science, business intelligence, analytics, statistical analysis, or related project work.

Technical Skills: Proficiency using SQL for data extraction and analysis and Python for data preparation, exploratory analysis, statistical analysis, and modeling. Experience with R is beneficial. Experience applying analytical and statistical methods such as EDA, hypothesis testing, regression, forecasting, segmentation, NLP, or sentiment analysis to business problems. Comfort working in notebook-based analytical environments.

Preferred Qualifications: Master's degree in data science, business analytics, statistics, applied mathematics, economics, or another quantitative or analytical field. Experience analyzing customer behavior, digital products, or customer feedback. Experience presenting complex analyses to executive audiences. Knowledge of financial services or digital banking products. Advanced SQL and Python skills.