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Remote Data Analysis Jobs in Texas (NOW HIRING)

Senior Director, Data Analysis

Plano, TX · On-site +1

$82K - $103K/yr

Lead the Analyst team and drive data source and tool innovations based on stakeholder data needs, including adoption of Big Data technologies and development of a program to train and enhance ...

This role focuses on centralized reporting, metric definition, business analysis, and data quality ... Schedule Full-time, Monday through Friday Work Location Fully remote **Please note we will not ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Data Analysis : Analyze large datasets to identify trends, patterns, and insights that support ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

... based on analysis findings * Develop and maintain a deep understanding of IVR application ... Provide data-driven insights and recommendations to inform design decisions and improve overall ...

Be able to translate data analysis into business recommendations WHAT WE WILL TEACH YOU: * Gain ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Be able to translate data analysis into business recommendations WHAT WE WILL TEACH YOU: * Gain ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Be able to translate data analysis into business recommendations WHAT WE WILL TEACH YOU: * Gain ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Be able to translate data analysis into business recommendations WHAT WE WILL TEACH YOU: * Gain ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

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Showing results 1-20

Remote Data Analysis information

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

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

Can you work fully remote as a data analyst?

Yes, many data analyst roles are fully remote, allowing professionals to analyze data, create reports, and use tools like Excel, SQL, and Python from anywhere. Employers often require strong communication skills and proficiency with collaboration platforms such as Slack or Teams for remote work.

Are remote data analyst jobs legit?

Remote data analyst jobs are legitimate positions that involve analyzing data to support business decisions, often requiring skills in tools like Excel, SQL, or Python. However, job seekers should verify the employer's credibility and be cautious of scams by researching the company and avoiding upfront payments.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.

Can you get a remote job as a data analyst?

Yes, remote data analyst positions are widely available and often require skills in data visualization, statistical analysis, and tools like Excel, SQL, or Python. Many companies offer remote work options, and candidates typically need a relevant degree or certification and strong communication skills.
What are the most commonly searched types of Data Analysis jobs in Texas? The most popular types of Data Analysis jobs in Texas are:
What cities in Texas are hiring for Remote Data Analysis jobs? Cities in Texas with the most Remote Data Analysis 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 5 days ago


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