Customer Experience Analytics Data Scientist
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Role details
Tech stack
Job description
- 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.
Requirements
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., 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.
About the company
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
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Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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