Data Analytics & Engineering - Data Analyst IV - 100% REMOTE / FULLTIME


American IT Systems
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Job Details
Skills
- Ad Hoc Reporting
- Analytical Skill
- Analytics
- Apache Hive
- Artificial Intelligence
- Collaboration
- Computer Science
- Customer Experience
- Customer Service
- Customer Support
- Data Analysis
- Data Science
- Generative Artificial Intelligence (AI)
- Machine Learning (ML)
- Mathematics
- Predictive Analytics
- Prompt Engineering
- Python
- ROOT
- R
- Root Cause Analysis
- SQL
- Salesforce.com
- Scripting
- Statistics
Summary
Job Title: Data Analytics & Engineering - Data Analyst IV
US-Remote (PST or CST preferred)
Job Description: Job title: Customer Experience and Support Analyst
Description:
As a CX Analyst for Reality Labs Customer Experience (CX) team, you will join a global team leveraging customer feedback to drive service improvements and business growth. You will analyze support surveys and operational data to identify improvement areas and partner with cross-functional teams to implement enhancement strategies. By applying your expertise in data analysis and storytelling, you will help define the future of our customer support program.
Responsibilities
Identify trends, opportunities, and pain points across Reality Labs' customer support channels using various data sources (customer support operational data, case transcripts, surveys, and other relevant data).
Monitor customer feedback to identify emerging trends and issues and perform root cause analysis.
Integrate customer feedback data with other transactional, operational, and behavioral data sources to create a comprehensive picture of 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 within support functions and develop action plans to remediate and measure effectiveness.
Utilize various systems and tools (AI analytics tools, Salesforce, Hive) to analyze and deliver insights.
Required Qualifications
6+ years of experience in data analytics, data science, or related analytical roles.
6+ years of work experience in analytics, data querying languages such
6+ as SQL, and statistical analysis methods
Experience with data-led storytelling and demonstrated experience in conveying complex insights to non-technical stakeholders Experience working with Customer Experience or Voice of Customer metrics (NPS, CSAT, etc.), surveys, and customer feedback Experience working with customer support operational metrics Experience with statistical analysis techniques and utilizing R, Python, or similar scripting languages/tools.
Desired Qualifications
Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field
3+ years of experience in customer experience, customer support,
3+ customer care, or other service-related analytics roles
Proficiency in AI-powered tools: Demonstrated working knowledge of Generative AI technologies (e.g., LLMs and AI agents), with experience designing, prompting, and orchestrating AI systems (e.g., prompt engineering) to automate data analysis, synthesize insights, and execute multi-step analytical tasks (e.g., prompting agents to clean datasets or build visualizations).
Experience working with Salesforce
Knowledge of predictive analytics or ML/AI techniques
- Dice Id: 91163020
- Position Id: 8999096
- Posted 17 hours ago
Company Info
About American IT Systems
American IT Systems Staffing Fastest growing Recruitment firm helping clients hire the best quality candidates faster across the globe.
We provide services starting from Temporary Staffing & Permanent Recruitment to management consulting. We specialize in Technology, Product & Design hiring headhunting & sourcing passive resources using cutting edge technology & tools
Our Aim
Hiring and recruiting top talent can be a challenging, time-intensive process. Client organizations recognize the value in saving time, money and preventing unnecessary burden on internal staff by outsourcing certain hiring needs. It can also send a strong message to top professionals they will spare no expense in finding and hiring the best talent possible..

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