Customer Experience Data Analyst
| Company | Reputation |
|---|---|
| Location | Lehi, UT, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
Requirements
- 5+ years of experience in data analysis, data science, or analytics roles, with a focus on customer experience, AI integration, and SQL-based data solutions
- Degree in Business Analytics, Mathematics/Statistics, Data Science or Computer Science preferred
- Proficiency in analytical tools such as SPSS, Python, and SQL
- Experience working with LLMs, AI, and machine learning algorithms
- Strong knowledge of data mining and data warehousing techniques
- Some experience working within the Customer Experience or Market Research industries
- Proficiency with social listening platforms (Sprinklr, Pulsar, Nuvi, Brandwatch, NetBase, etc.) preferred but not required
- Expertise in Microsoft Office Suite (PowerPoint, Excel, Word) and other data visualization tools
- Strong problem-solving skills with a creative mindset and excellent written and verbal communication
- Ability to collaborate effectively within a team and proactively address challenges
- Comfortable working with varied data sources, including survey data, reviews, financial data, transactional records, employee feedback and social data
- Detail-oriented with a strong emphasis on accuracy
- Ability to work autonomously, manage tight deadlines, and handle multiple priorities in a fast-paced environment.
Responsibilities
- Tool Development: Create tools for Expert Services to streamline client deliverables and drive efficiency across the team.
- SQL Database Management: Build and maintain a repository of SQL queries that enable Expert Services to extract and analyze data efficiently.
- AI & LLM Integration: Collaborate with the Reputation Data Science team to develop tools utilizing LLMs/AI for summarizing customer comment data.
- Data Analysis & Predictive Modeling: Analyze large datasets to uncover patterns, trends, and relationships using statistical modeling and predictive analytics.
- Automation & Reporting: Support custom reporting initiatives by automating data extraction and visualization processes.
- Data Management: Occasionally assist the Social Insights team with data management tasks to improve data quality.
- Data Integrity: Ensure all data is accurately cleaned, transformed, and validated for consistency and reliability.
- Internal Partnerships: Alongside partnering with data science, engage with the product team to identify optimization opportunities that reflect upcoming needs for clients.
Preferred Qualifications
- Proficiency with social listening platforms (Sprinklr, Pulsar, Nuvi, Brandwatch, NetBase, etc.) preferred but not required
- Degree in Business Analytics, Mathematics/Statistics, Data Science or Computer Science preferred