

INSPYR Solutions
Data Analyst V
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst V, remote in the US, with a 12-month contract and a pay rate of $68-78. Requires US citizenship, 6+ years in data analytics, 3+ years in customer experience, and proficiency in Python, R, SQL, and data visualization tools.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
664
-
ποΈ - Date
May 12, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Seattle, WA
-
π§ - Skills detailed
#Data Analysis #Datasets #PyTorch #ML (Machine Learning) #R #Mathematics #Stories #Visualization #Storytelling #Data Science #Clustering #Statistics #Programming #AI (Artificial Intelligence) #BI (Business Intelligence) #Libraries #TensorFlow #"ETL (Extract #Transform #Load)" #Microsoft Power BI #Pandas #Tableau #SQL (Structured Query Language) #NLP (Natural Language Processing) #Python
Role description
Title: Data Analyst V
Location: United States (Remote)
Pay Range: $68-78.00
Duration: 12 months
Work Requirements: US Citizen, GC Holders or Authorized to Work in the US
About the Team
As a Customer Experience Analyst, you will be part of a global practice focused on understanding and learning from our customers. You will leverage customer insights to drive business improvements and promote customer-centric decision-making throughout the organization. You will play a pivotal role in boosting customer satisfaction and loyalty by analyzing feedback, identifying areas for improvement, and collaborating with cross-functional teams to develop and implement strategies that enhance the overall customer experience. By combining your strong background in CX/VoC, expertise in data analysis and storytelling, and passion for customer centricity, you will help shape the future of our customer experience program and contribute to the growth and success of our organization.
Responsibilities
β Work with large and complex datasets to solve challenging problems using various analytical and statistical approaches.
β 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.
β 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.
β Use clustering and segmentation techniques to identify common customer issues and recommend targeted solutions or self-service resources.
β Develop and maintain robust reporting and dashboards to track customer experience metrics and KPIs.
β Integrate customer feedback data with other transactional, operational, and behavioral data sources to create a comprehensive picture of customer experience drivers.
β Advocate for customers and influence corrective actions through periodic and ad-hoc reporting, proactively evangelizing insights among key stakeholders.
β Collaborate with cross-functional teams to identify root causes of customer issues and develop action plans to remediate and measure effectiveness.
β Communicate complex technical concepts to non-technical stakeholders.
Required Qualifications
β Degree in Analytics, Statistics, Mathematics, Computer/Data Science, Engineering, or a related field.
β 6+ years of experience in data analytics, data science, or related fields.
β 3+ years of experience in customer experience, customer support, or customer insights analytics.
β Proficiency in crafting compelling stories using complex data sources to provide actionable insights tailored to stakeholdersβ needs.
β Experience creating reports, visualizations, and dashboards and communicating results and analyses to technical and non-technical audiences.
β Experience working with Customer Experience or Voice of Customer metrics (NPS, CSAT, etc.), surveys, and customer feedback.
β Strong programming skills in Python, R, and SQL.
β Proficiency in data visualization tools (e.g., Tableau, Power BI).
β Proficiency in utilizing statistical analytics techniques.
β Demonstrated ability to work collaboratively with cross-functional teams.
Preferred Qualifications
β Master's or Ph.D. Degree in a quantitative field.
β Familiarity with consumer electronics or retail business.
β Proficiency in conducting predictive analytics or running ML/AL techniques.
β Experience with machine learning libraries such as Pandas, scikit-learn, TensorFlow, or PyTorch.
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutionsβ Privacy Policy and INSPYR Solutionsβ AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.
Title: Data Analyst V
Location: United States (Remote)
Pay Range: $68-78.00
Duration: 12 months
Work Requirements: US Citizen, GC Holders or Authorized to Work in the US
About the Team
As a Customer Experience Analyst, you will be part of a global practice focused on understanding and learning from our customers. You will leverage customer insights to drive business improvements and promote customer-centric decision-making throughout the organization. You will play a pivotal role in boosting customer satisfaction and loyalty by analyzing feedback, identifying areas for improvement, and collaborating with cross-functional teams to develop and implement strategies that enhance the overall customer experience. By combining your strong background in CX/VoC, expertise in data analysis and storytelling, and passion for customer centricity, you will help shape the future of our customer experience program and contribute to the growth and success of our organization.
Responsibilities
β Work with large and complex datasets to solve challenging problems using various analytical and statistical approaches.
β 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.
β 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.
β Use clustering and segmentation techniques to identify common customer issues and recommend targeted solutions or self-service resources.
β Develop and maintain robust reporting and dashboards to track customer experience metrics and KPIs.
β Integrate customer feedback data with other transactional, operational, and behavioral data sources to create a comprehensive picture of customer experience drivers.
β Advocate for customers and influence corrective actions through periodic and ad-hoc reporting, proactively evangelizing insights among key stakeholders.
β Collaborate with cross-functional teams to identify root causes of customer issues and develop action plans to remediate and measure effectiveness.
β Communicate complex technical concepts to non-technical stakeholders.
Required Qualifications
β Degree in Analytics, Statistics, Mathematics, Computer/Data Science, Engineering, or a related field.
β 6+ years of experience in data analytics, data science, or related fields.
β 3+ years of experience in customer experience, customer support, or customer insights analytics.
β Proficiency in crafting compelling stories using complex data sources to provide actionable insights tailored to stakeholdersβ needs.
β Experience creating reports, visualizations, and dashboards and communicating results and analyses to technical and non-technical audiences.
β Experience working with Customer Experience or Voice of Customer metrics (NPS, CSAT, etc.), surveys, and customer feedback.
β Strong programming skills in Python, R, and SQL.
β Proficiency in data visualization tools (e.g., Tableau, Power BI).
β Proficiency in utilizing statistical analytics techniques.
β Demonstrated ability to work collaboratively with cross-functional teams.
Preferred Qualifications
β Master's or Ph.D. Degree in a quantitative field.
β Familiarity with consumer electronics or retail business.
β Proficiency in conducting predictive analytics or running ML/AL techniques.
β Experience with machine learning libraries such as Pandas, scikit-learn, TensorFlow, or PyTorch.
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutionsβ Privacy Policy and INSPYR Solutionsβ AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.






