

orangepeople
Data Analyst V
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst V with a contract length of "unknown" and a pay rate of "$XX/hour." It requires a degree in Analytics or related fields, 6+ years of experience, proficiency in Python, R, SQL, and data visualization tools, and expertise in customer experience analytics.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
744
-
🗓️ - Date
May 28, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Science #Consulting #Stories #Statistics #AI (Artificial Intelligence) #Programming #Python #Storytelling #BI (Business Intelligence) #Mathematics #R #SQL (Structured Query Language) #Data Analysis #PyTorch #Visualization #Pandas #Microsoft Power BI #TensorFlow #"ETL (Extract #Transform #Load)" #Base #Security #Datasets #Libraries #Tableau #Clustering #NLP (Natural Language Processing) #ML (Machine Learning)
Role description
Are you passionate about turning data into impactful insights? We re seeking a talented Data Analyst to be a key driver in our global customer-centric practice. In this role, you ll harness customer feedback and behavioral data to uncover valuable insights that fuel business improvements and elevate the customer experience. As a vital member of our team, you will collaborate across functions to identify opportunities for enhancing satisfaction and loyalty. Your expertise in CX/VoC, combined with your storytelling skills and analytical prowess, will help us craft strategies that truly resonate with our customers and drive organizational success. If you re committed to making a difference through data and passionate about creating exceptional customer journeys, this is your chance to be part of a forward-thinking organization dedicated to growth, innovation, and customer excellence.
Responsibilities
• Work with large and complex datasets to solve challenging problems using various analytical and statistical approaches.
• Synthesize and analyze customer feedback from multiple sources (e.g., surveys, digital analytics, behavioral, and operational data) across end-to-end customer journeys to identify trends, pain points, and areas for improvement.
• Apply advanced statistical modeling, machine learning, and natural language processing (NLP) to analyze large-scale customer support interactions (e.g., chat logs, call transcripts, support tickets) and extract actionable insights.
• Use clustering and segmentation techniques to identify common customer issues and recommend targeted solutions or self-service resources.
• Develop and maintain robust reporting and dashboards to track customer experience metrics and KPIs.
• Integrate customer feedback data with other transactional, operational, and behavioral data sources to create a comprehensive picture of customer 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 and develop action plans to remediate and measure effectiveness.
• Communicate complex technical concepts to non-technical stakeholders.
Required Qualifications
• Degree in Analytics, Statistics, Mathematics, Computer/Data Science, Engineering, or a related field.
• Minimum 6 years of experience in data analytics, data science, or related fields.
• Less than 3 years of experience in customer experience, customer support, or customer insights analytics.
• Proficiency in crafting compelling stories using complex data sources to provide actionable insights tailored to stakeholders needs.
• Experience creating reports, visualizations, and dashboards, and communicating results and analyses to technical and non-technical audiences.
• Experience working with Customer Experience or Voice of Customer metrics (NPS, CSAT, etc.), surveys, and customer feedback.
• Strong programming skills in Python, R, and SQL.
• Proficiency in data visualization tools (e.g., Tableau, Power BI).
• Proficiency in utilizing statistical analytics techniques.
• Demonstrated ability to work collaboratively with cross-functional teams.
Preferred Qualifications
• Master's or Ph.D. Degree in a quantitative field.
• Familiarity with consumer electronics or retail business.
• Proficiency in conducting predictive analytics or running ML/AL techniques.
• Experience with machine learning libraries such as Pandas, scikit-learn, TensorFlow, or PyTorch.
Benefits
• 401(k).
• Dental Insurance.
• Health insurance.
• Vision insurance.
• We are an equal opportunity employer and value diversity, equality, inclusion, and respect for people.
• The salary will be determined based on several factors including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.
Additional Responsibilities
• Participate in OP monthly team meetings, and participate in team-building efforts.
• Contribute to OP technical discussions, peer reviews, etc.
• Contribute content and collaborate via the OP-Wiki/Knowledge Base.
• Provide status reports to OP Account Management as requested.
About Us
OP is a technology consulting and solutions company, offering advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields including AI, cyber security, enterprise architecture, and beyond. Our most valuable asset is our people: dynamic, creative thinkers, who are passionate about doing quality work. As a member of the OP team, you will have access to industry-leading consulting practices, strategies & and technologies, innovative training & education. An ideal OP team member is a technology leader with a proven track record of technical excellence and a strong focus on process and methodology.
Are you passionate about turning data into impactful insights? We re seeking a talented Data Analyst to be a key driver in our global customer-centric practice. In this role, you ll harness customer feedback and behavioral data to uncover valuable insights that fuel business improvements and elevate the customer experience. As a vital member of our team, you will collaborate across functions to identify opportunities for enhancing satisfaction and loyalty. Your expertise in CX/VoC, combined with your storytelling skills and analytical prowess, will help us craft strategies that truly resonate with our customers and drive organizational success. If you re committed to making a difference through data and passionate about creating exceptional customer journeys, this is your chance to be part of a forward-thinking organization dedicated to growth, innovation, and customer excellence.
Responsibilities
• Work with large and complex datasets to solve challenging problems using various analytical and statistical approaches.
• Synthesize and analyze customer feedback from multiple sources (e.g., surveys, digital analytics, behavioral, and operational data) across end-to-end customer journeys to identify trends, pain points, and areas for improvement.
• Apply advanced statistical modeling, machine learning, and natural language processing (NLP) to analyze large-scale customer support interactions (e.g., chat logs, call transcripts, support tickets) and extract actionable insights.
• Use clustering and segmentation techniques to identify common customer issues and recommend targeted solutions or self-service resources.
• Develop and maintain robust reporting and dashboards to track customer experience metrics and KPIs.
• Integrate customer feedback data with other transactional, operational, and behavioral data sources to create a comprehensive picture of customer 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 and develop action plans to remediate and measure effectiveness.
• Communicate complex technical concepts to non-technical stakeholders.
Required Qualifications
• Degree in Analytics, Statistics, Mathematics, Computer/Data Science, Engineering, or a related field.
• Minimum 6 years of experience in data analytics, data science, or related fields.
• Less than 3 years of experience in customer experience, customer support, or customer insights analytics.
• Proficiency in crafting compelling stories using complex data sources to provide actionable insights tailored to stakeholders needs.
• Experience creating reports, visualizations, and dashboards, and communicating results and analyses to technical and non-technical audiences.
• Experience working with Customer Experience or Voice of Customer metrics (NPS, CSAT, etc.), surveys, and customer feedback.
• Strong programming skills in Python, R, and SQL.
• Proficiency in data visualization tools (e.g., Tableau, Power BI).
• Proficiency in utilizing statistical analytics techniques.
• Demonstrated ability to work collaboratively with cross-functional teams.
Preferred Qualifications
• Master's or Ph.D. Degree in a quantitative field.
• Familiarity with consumer electronics or retail business.
• Proficiency in conducting predictive analytics or running ML/AL techniques.
• Experience with machine learning libraries such as Pandas, scikit-learn, TensorFlow, or PyTorch.
Benefits
• 401(k).
• Dental Insurance.
• Health insurance.
• Vision insurance.
• We are an equal opportunity employer and value diversity, equality, inclusion, and respect for people.
• The salary will be determined based on several factors including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.
Additional Responsibilities
• Participate in OP monthly team meetings, and participate in team-building efforts.
• Contribute to OP technical discussions, peer reviews, etc.
• Contribute content and collaborate via the OP-Wiki/Knowledge Base.
• Provide status reports to OP Account Management as requested.
About Us
OP is a technology consulting and solutions company, offering advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields including AI, cyber security, enterprise architecture, and beyond. Our most valuable asset is our people: dynamic, creative thinkers, who are passionate about doing quality work. As a member of the OP team, you will have access to industry-leading consulting practices, strategies & and technologies, innovative training & education. An ideal OP team member is a technology leader with a proven track record of technical excellence and a strong focus on process and methodology.






