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Remote Data Optimization Jobs in Texas (NOW HIRING)

About Us: * Customer Experience Analyst - REMOTE PTP is a fast-growing system integrator that ... Analysis and Data Optimization: Analyze large datasets and conversational call flows to uncover ...

Build and maintain structured data (FAQ, HowTo, Product, Review, Organization, Speakable, etc ... Our office follows 4 days onsite and 1-day remote schedule Travel: * Occasionally, less than 25%

Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.) * Experience ... Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 ...

Data Bricks Data Engineer

Plano, TX · Remote

$120K - $150K/yr

Proven experience building and optimizing complex data pipelines in Azure. * Hands-on experience ... management, remote backends). * Proven experience working on Databricks platform operations ...

Data Bricks Data Engineer

Dallas, TX · Remote

$113K - $136K/yr

... and optimizing complex data pipelines in Azure. • Hands-on experience with Azure Databricks ... remote backends). • Proven experience working on Databricks platform operations, including ...

Data Bricks Data Engineer

Richardson, TX · Remote

$104K - $124K/yr

... and optimizing complex data pipelines in Azure. • Hands-on experience with Azure Databricks ... remote backends). • Proven experience working on Databricks platform operations, including ...

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Remote Data Optimization information

What is a Remote Data Optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

What are the key skills and qualifications needed to thrive as a Remote Data Optimization Specialist, and why are they important?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are the most commonly searched types of Data Optimization jobs in Texas? The most popular types of Data Optimization jobs in Texas are:
What job categories do people searching Remote Data Optimization jobs in Texas look for? The top searched job categories for Remote Data Optimization jobs in Texas are:
What cities in Texas are hiring for Remote Data Optimization jobs? Cities in Texas with the most Remote Data Optimization job openings:
Infographic showing various Remote Data Optimization job openings in Texas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Customer Experience Analyst - REMOTE

Customer Experience Analyst - REMOTE

PTP

Austin, TX • On-site, Remote

Full-time

Posted 17 hours ago


Job description

Job Description
About Us:
  • Customer Experience Analyst - REMOTE

PTP is a fast-growing system integrator that offers strategic Customer Experience (CX) solutions to our clients. We are seeking a Customer Experience Analyst with fluent French or German language skills to optimize our clients' traditional and generative IVR operations through in-depth data analysis. Using analytic discovery and evaluation, our Customer Experience Analysts champion the customer experience and provide clients with recommendations to reduce customer effort, offer effective self-solve options, streamline processes and reduce agent handling time. We are looking for a bright, enthusiastic, and motivated professional ready to collaborate with our team.
Key Responsibilities
Call Testing and Assurance: Evaluate the readiness of traditional IVR and generative AI agent systems by initiating simulated test calls and providing actionable feedback.
Call Annotation: Perform detailed annotations to understand customer intents, evaluate AI comprehension, optimize self-service flows, and assess agent handling.
Analysis and Data Optimization: Analyze large datasets and conversational call flows to uncover trends, identify pain points and drive overall customer experience enhancements.
Reporting and Presentations: Translate data into clear, actionable insights and deliver compelling, data-driven presentations to stakeholders and executive teams.
Platform Management: Configure and maintain a 3rd party analytics tool to extract insights, monitor daily KPI dashboards, and proactively alert clients to unexpected metric fluctuations.
Cross-Functional Collaboration: Partner with Project Managers, Team Leads, and Professional Services to strategize and solve complex customer journey issues.
Requirements
  • Written and spoken fluency in French or German
  • Strong analytical and problem-solving abilities
  • Expertise in summarizing, analyzing and pulling trends from complex datasets in Microsoft Excel, Google Sheets, Numbers or similar software
  • Familiarity with basic Excel formulas and the use of pivot tables
  • Excellent verbal and written communication skills
  • Proficiency with building presentations in PowerPoint or Keynote
  • Experience with delivering strong, focused presentations via phone, video or in person
  • Strong attention to detail
  • Ability to thrive and collaborate effectively in a fast-paced, remote team environment

Desired Experience
  • Working in or collaborating with a contact center environment
  • Understanding of user interface or conversational design concepts
  • Familiarity with conversational AI, particularly in evaluating or optimizing chatbots and virtual assistants

PTP logo

About PTP

Sourced by ZipRecruiter

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Francisco, CA, US

Year founded

2004