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Voice Data Analyst Jobs in Kentucky (NOW HIRING)

$100 - $125/hr

The CX Data Analyst will be the analytical powerhouse of Mirion's new Customer Experience ... Experience with text analytics, voice analytics, journey analytics, or predictive modeling in a CX ...

New

$100 - $125/hr

... offers voice and data connectivity anywhere in the world. For over 20 years, Iridium's unique ... Analyst III to help understand and improve the performance of our satellite telecommunications ...

$60 - $80/hr

Our mission is to allow consumers a voice in the development of outstanding food, beverage, pet ... Data processing: * Collaborate with client service to create the data analysis and reporting plan ...

$125 - $150/hr

Description The Business Data Analyst III (Access Control Integrator) serves as a subject matter ... voice. About Us CDW is a Fortune 500 technology solutions provider that helps businesses ...

New

$80 - $100/hr

Join Roche, where every voice matters. The Position The Finance Rotation Development Program ... Insights & Data Analyst * Exceptional structured problem-solving and strategic analytical and ...

New

$100 - $125/hr

... a voice, video and data network. Must be organized, document oriented, possess skills in ... Analyze and resolve remote site registration, signaling and media problems. * Validate change ...

$125 - $150/hr

## Senior Business Analyst (Voice)Applylocations: Owings Mills, MDtime type: Full timeposted on ... May support functional testing and other support tasks (e.g. content authoring, data configuration ...

$150 - $200/hr

Ensuring the use of voice-of-customer, operational, program enrollment, and demographic data in analyses and recommendations to yield higher customer satisfaction and deliver an elevated customer ...

$125 - $150/hr

Ensuring the use of voice-of-customer, operational, program enrollment, and demographic data in analyses and recommendations to yield higher customer satisfaction and deliver an elevated customer ...

$125 - $150/hr

Evaluate fiber optic, copper, wireless, voice, data, radio, and other communications infrastructure ... Strong written, verbal, analytical, and problem-solving skills. Preferred Qualifications

$100 - $125/hr

... voice, data, and/or video formats. * Analyze and recommend network requirements. * Recommend and maintain network architecture and infrastructure. * Analyze network workload. * Monitor network ...

New

$150 - $200/hr

You will also work closely with our GTM Marketing & AI Architect and be a key voice in AI and technology decisions that affect data, analytics, reporting, and visualization. What You'll Drive ...

New

$80 - $100/hr

Develop and implement technical solutions through deep analysis and understanding of impact to the ... Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ...

$60 - $80/hr

Familiarity with basic data analytics, LLMs, and AI/ML related concepts * Understanding of ... voice is heard through direct access to senior leadership, and you have clear opportunities for ...

$150 - $200/hr

Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on ... Build the analysis that tells us what we actually have -- languages, conditions, domains, speakers ...

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Voice Data Analyst information

What is a voice data analyst?

A Voice Data Analyst is a professional who analyzes audio data, such as speech recordings or voice commands, to extract meaningful insights or improve voice recognition technologies. They work with large datasets to identify patterns, transcribe audio, and evaluate the accuracy of automated speech recognition systems. Their work often supports the development of virtual assistants, customer service bots, and other voice-enabled applications. Voice Data Analysts typically have skills in linguistics, data analysis, and familiarity with speech processing tools.

What key skills and qualifications are needed to thrive as a voice data analyst?

To thrive as a Voice Data Analyst, you need strong analytical skills, experience with data analysis, and a background in linguistics, statistics, or computer science. Familiarity with speech recognition software, natural language processing (NLP) tools, and programming languages like Python or R is typically required. Attention to detail, problem-solving abilities, and effective communication make someone stand out in this position. These skills are essential for accurately interpreting voice data, improving voice-driven technologies, and delivering actionable insights to stakeholders.

How does a voice data analyst typically collaborate with software engineers and product teams?

Voice Data Analysts often work closely with software engineers and product teams to ensure that voice recognition systems are accurately trained and optimized. They analyze large datasets of voice recordings, identify patterns, and provide actionable insights to improve algorithms. Regular meetings and cross-functional discussions are common, allowing analysts to share findings and prioritize enhancements based on user feedback and technical feasibility. This collaborative environment helps ensure that voice-enabled products meet quality standards and user expectations.

What are popular job titles related to Voice Data Analyst jobs in Kentucky?

For Voice Data Analyst jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Voice Data Analyst jobs in Kentucky look for?

The top searched job categories for Voice Data Analyst jobs in Kentucky are:

What cities in Kentucky are hiring for Voice Data Analyst jobs?

Cities in Kentucky with the most Voice Data Analyst job openings:

Infographic showing various Voice Data Analyst job openings in Kentucky as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

$100 - $125/hr

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Mirion Technologies rating

8.4

Company rating: 8.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

35th of 161 rated electronics manufacturers


Job description

As a global leader in radiation safety, detection and measurement, Mirion Technologies is advancing radiation safety through innovative technologies and solutions.

The CX Data Analyst will be the analytical powerhouse of Mirion’s new Customer Experience organization, turning raw data from disparate systems into actionable, revenue-impacting insights. Reporting to the Director of Customer Experience and working in lockstep with the CX Operations and Insights Manager, you will integrate and analyze data from Forsta (surveys/NPS/CSAT), Microsoft Fabric/Power BI/Databricks (enterprise analytics), Salesforce/Dynamics 365 (CRM), SAP (ERP), support ticketing systems, and other sources to create a single source of truth for customer health. Your work will directly inform prioritization, closed-loop actions, cohort revenue attribution, and executive reporting, enabling Mirion to drive predictive customer experience management across its diverse business units and product lines.

This is a highly leveraged role for someone who thrives on wrangling complex data environments and translating numbers into clear business recommendations.

Key Responsibilities

  • Ingest data flows from multiple sources (Forsta, Microsoft Fabric, Power BI, Databricks, Salesforce, Dynamics 365, SAP, ticketing systems, QA measurement platforms, installed-base data) to build unified customer views and CX datasets.
  • Perform advanced analysis on survey data (NPS, CSAT, verbatim text analytics), operational metrics (support tickets, renewal rates, service attachment), and financial outcomes (revenue per account, churn, capital cycles) to uncover trends, correlations, and drivers.
  • Collaborate closely with the CX Operations and Insights Manager to segment customers, identify at-risk/expansion opportunities, and define prioritized actions for enterprise, business units, and product lines.
  • Build and maintain enterprise CX dashboards, cohort reports, and predictive models (e.g., churn risk, next purchase propensity, service upsell likelihood) in Power BI/Forsta.
  • Conduct deep-dive analyses (journey mapping, segmentation, driver analysis) to quantify the financial impact of experience gaps and improvements.
  • Support closed-loop processes by providing data-driven targeting (e.g., detractor lists with revenue-at-risk flags) and tracking action outcomes.
  • Develop and automate regular reporting (weekly revenue-at-risk lists, quarterly cohort performance, annual ROI reviews) for CX leadership, divisional stakeholders, and Finance.
  • Partner with IT and data teams to improve data quality, hygiene, and integration.
  • Translate complex analyses into clear, executive-ready insights and recommendations - telling the “so what” story behind the data.
  • Stay current on analytics best practices and tools relevant to B2B/industrial CX (text analytics, predictive modeling, cohort attribution).

Required Qualifications

  • 5+ years of experience as a data analyst, business analyst, or insights analyst in a B2B environment (preferably with multi-system data integration).
  • Advanced proficiency in Power BI or similar visualization tools; experience with Microsoft Fabric, Databricks, or big-data platforms is a strong plus.
  • Strong SQL skills and experience integrating data from multiple sources (Salesforce, Dynamics 365, SAP, survey platforms like Forsta/Qualtrics/Medallia).
  • Demonstrated ability to perform customer cohort analysis, segmentation, and financial attribution (linking experience metrics to revenue outcomes).
  • Experience with text analytics, voice analytics, journey analytics, or predictive modeling in a CX or revenue context.
  • Knowledge in leveraging artificial intelligence (AI) to augment tasks and workflows
  • Excellent storytelling with data: able to distill complex analyses into clear insights and recommendations for non-technical stakeholders.
  • Comfort working in ambiguous, evolving data environments and building analytical frameworks from the ground up.
  • Strong collaboration skills and a proven track record partnering with program managers and cross-functional teams to drive action from insights.

Travel

  • Minimal travel required (~10%), primarily for occasional stakeholder workshops or data alignment sessions.
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