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Remote Data Analytics Instructor Jobs in Dallas, TX

Ardurra is looking to hire a Data Analytics Manager to join our team in Dallas, TX! This position is open to remote applicants, preferably near major Ardurra offices. Ardurra is a multidisciplinary ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... OR If advanced degree in a STEM discipline, 6 or more years' experience in data and analytics ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... OR If advanced degree in a STEM discipline, 6 or more years' experience in data and analytics ...

... Analytics Engineering to improve data structure, usability, and trust Skills and Educational ... Schedule Full-time, Monday through Friday Work Location Fully remote **Please note we will not ...

The Performance Data Analytics and Management team in Fort Worth, TX is seeking a full-time Data ... From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your ...

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Manage our Analytics Pipeline * Build custom dashboards using our Analytics Tech Stack WHAT SUCCESS ...

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Remote Data Analytics Instructor information

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$24

$54

$93

How much do remote data analytics instructor jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for remote data analytics instructor in Dallas, TX is $54.16, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $61.35 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Analytics Instructor vs Remote Data Analyst?

AspectRemote Data Analytics InstructorRemote Data Analyst
Required CredentialsTypically a degree in data science, analytics, or related field; teaching certifications are a plusDegree in data science, statistics, or related field; often requires proficiency in analytics tools
Work EnvironmentOnline teaching platforms, educational institutions, corporate trainingRemote offices, companies, or consulting firms
Employer & Industry UsageEducational institutions, online course providers, corporate training programsBusinesses across industries, consulting firms, finance, healthcare, tech

While both roles involve data skills, a Remote Data Analytics Instructor focuses on teaching and curriculum development in educational settings, whereas a Remote Data Analyst applies data analysis techniques directly to business problems. The roles share similar credentials but differ mainly in their primary responsibilities and work environments.

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

To thrive as a Remote Data Analytics Instructor, you need a strong background in data analytics, statistics, and teaching, usually demonstrated by a relevant degree and industry experience. Familiarity with data analysis tools such as Excel, SQL, Python, R, and learning management systems (LMS) is essential, along with certifications like Tableau or Google Data Analytics. Excellent communication, patience, and the ability to engage and motivate remote learners are valuable soft skills in this role. These skills ensure effective instruction, student engagement, and successful learning outcomes in a virtual environment.

What are some common challenges faced by Remote Data Analytics Instructors, and how can they be effectively managed?

Remote Data Analytics Instructors often encounter challenges such as maintaining student engagement in a virtual setting, addressing diverse learning paces, and ensuring clear communication despite not being physically present. To manage these, instructors can leverage interactive teaching tools, schedule regular check-ins, and provide a variety of learning resources to accommodate different student needs. Building a supportive online community and encouraging active participation also help foster a collaborative and effective learning environment.

What does a Remote Data Analytics Instructor do?

A Remote Data Analytics Instructor teaches students data analysis concepts and tools through online platforms. They develop and deliver course materials, lead live or recorded lessons, and provide feedback on assignments. Instructors often cover topics like data visualization, statistical analysis, and using software such as Excel, Python, or SQL. Their goal is to help students gain practical skills for analyzing and interpreting data in real-world scenarios.
What job categories do people searching Remote Data Analytics Instructor jobs in Dallas, TX look for? The top searched job categories for Remote Data Analytics Instructor jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Data Analytics Instructor jobs? Cities near Dallas, TX with the most Remote Data Analytics Instructor job openings:
Remote Data Engineer - & Modeler Informatica

Remote Data Engineer - & Modeler Informatica

NTT DATA Services

Plano, TX • On-site, Remote

$121K - $224K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

New


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

107th of 210 rated it services


Job description

Req ID: 378301 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Remote Data Engineer - & Modeler Informatica to join our team in Plano, Texas (US-TX), United States (US).

Role Overview
We are seeking an Intermediate-Level Data Engineer & Data Modeler to focus on designing, building, and maintaining data pipelines and data models that enable scalable, high-quality data products across the organization.

Key Responsibilities
Data Engineering & Pipeline Development
   Design, build, and maintain ETL/ELT data pipelines for data ingestion and transformation
   Develop data integration workflows to support enterprise analytics
   Implement scalable data processing frameworks and automation pipelines
   Monitor pipeline execution and ensure data availability and reliability

Data Modeling & Design
   Design logical and physical data models to support business requirements
   Define data structures, relationships, and schemas across domains
   Develop standardized data layers (e.g., Bronze/Silver/Gold)
   Collaborate with stakeholders on data mappings and business logic

Data Integration & Quality
   Perform source-to-target mapping and transformation design
   Implement data quality checks and validation rules
   Maintain data lineage, metadata, and documentation
   Support integration of enterprise data sources

Production Support & Optimization
   Provide L2/L3 support for data pipelines
   Monitor and optimize pipeline performance
   Perform root cause analysis and issue resolution
   Support job scheduling and error handling processes

Collaboration & Delivery
   Work with data architects, analysts, and BI teams
   Translate business requirements into technical solutions
   Support data platform modernization initiatives
   Participate in Agile processes such as sprint planning and code reviews

Basic Qualifications
   6+ years of experience in Data Engineering and/or Data Modeling
   6+ years of experience building and maintaining enterprise data pipelines
   6+ years of experience working with large, complex datasets

Technical Skills
   Strong SQL and data modeling expertise
   Experience with ETL/ELT tools (Informatica, DataStage, ADF, etc.)
   Experience with Python, Spark, or similar frameworks
   Familiarity with platforms such as Snowflake, Databricks, or Azure Data Lake
   Knowledge of pipeline orchestration and integration patterns

Preferred Qualifications
   Experience with Azure-based data platforms
   Exposure to data governance and metadata management tools
   Experience in healthcare or regulated environments
   Experience supporting data modernization initiatives

Key Success Metrics
   Reliable and timely pipeline execution
   High-quality data models supporting analytics
   Improved data quality and reduced errors

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $121,162 - $224,375 per year. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

#LaunchJobs #LI-NorthAmerica #LaunchEngineering

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967