2

Remote Data Analyst Assistant Jobs in Spring, TX

Experience integrating data from ERP, planning, quality and shop floor systems into analytics and modeling solutions. * Ability to work with local and remote resources to close complex projects in ...

New

... Data Analyst etc. * Skilled in the management of complex systems and decision-making under ... Ability to travel up to 25% #LI-JB1 #LI-REMOTE This amount is what we reasonably believe we will ...

Senior Energy Market Analyst

Houston, TX · On-site +1

$110K - $120K/yr

... remote consideration available on a case-by-case basis depending on the candidate's experience and ... Are you passionate about shaping the future of renewable energy through data-driven strategy and ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... We're currently expanding into an exciting new area - teaching AI Assistant models to be a more ...

Sales Operations Analyst

Houston, TX · On-site +1

$60K - $80K/yr

Remote (U.S. only) or Hybrid within 40 miles of a FlexTG office Compensation: $60,000 - $80,000 ... We value collaboration, continuous improvement, and data-driven decision making. Position Summary ...

Sales Operations Analyst

Houston, TX · On-site +1

$60K - $80K/yr

Remote (U.S. only) or Hybrid within 40 miles of a FlexTG office Compensation: $60,000 - $80,000 ... We value collaboration, continuous improvement, and data-driven decision making. Position Summary ...

Remote (U.S. only) or Hybrid within 40 miles of a FlexTG office Compensation: $60,000 - $80,000 ... We value collaboration, continuous improvement, and data-driven decision making. Position Summary ...

next page

Showing results 1-20

Remote Data Analyst Assistant information

See Spring, TX salary details

$24.9K

$63.8K

$121.9K

How much do remote data analyst assistant jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote data analyst assistant in Spring, TX is $63,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,600.00 and $74,300.00 per year, depending on experience, location, and employer.

Can a data analyst be a virtual assistant?

A data analyst can perform virtual assistant tasks if they have skills in organization, communication, and basic administrative tools. However, the roles are distinct: data analysts focus on data interpretation and reporting, while virtual assistants handle administrative support. Combining both roles may require additional training in office management and communication tools.

How does a Remote Data Analyst Assistant typically collaborate with team members and stakeholders?

As a Remote Data Analyst Assistant, collaboration is often facilitated through digital tools such as video conferencing platforms, shared project management software, and cloud-based data repositories. You’ll regularly communicate with data analysts, project managers, and sometimes clients to clarify data requirements, receive feedback, and update progress. Proactive communication and clear documentation are key to ensuring your analyses align with team objectives and timelines. While you may work independently on data preparation and basic analysis tasks, most projects involve frequent check-ins and collaborative problem-solving sessions.

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

To thrive as a Remote Data Analyst Assistant, you need a solid understanding of data analysis principles, basic statistics, and proficiency in spreadsheet software, often supported by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, Google Sheets, SQL, and visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, effective communication, and self-motivation are essential soft skills for collaborating remotely and ensuring data accuracy. These skills are vital for delivering reliable analytical support and maintaining productivity in a distributed work environment.

How can I make 2000 a week working from home?

A remote data analyst assistant can increase earnings by taking on multiple clients, working overtime, or offering specialized services such as data visualization or reporting. Building a strong skill set in tools like Excel, SQL, or Python and gaining certifications can also help command higher rates. Consistent high-quality work and effective time management are essential for reaching a weekly income of $2000.

What is a Remote Data Analyst Assistant?

A Remote Data Analyst Assistant is a professional who supports data analysts and data teams by performing tasks such as data collection, data cleaning, basic analysis, and report preparation, all while working from a remote location. They often use software tools to organize and process data, generate visualizations, and help ensure data accuracy. Their role is crucial in helping organizations make data-driven decisions efficiently, even when team members are not all in the same physical office.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available and often require skills in data visualization, SQL, and Excel. Many companies offer remote work options, and candidates typically need strong analytical skills and relevant experience or certifications to qualify.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but a remote data analyst assistant's role involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain knowledge. AI is a complement to data analysts, enhancing productivity rather than replacing the need for skilled professionals in the field.

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

AspectRemote Data Analyst AssistantRemote Data Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in data analysis, statistics, or related fields
Work EnvironmentRemote, supporting data teams with entry-level tasksRemote or on-site, performing complex data analysis and reporting
Employer & Industry UsageBusinesses, startups, and organizations needing support rolesCompanies requiring in-depth data insights and strategic analysis
Common Search & ComparisonOften searched together for entry-level roles or support positionsCompared for advanced data analysis roles or career progression

The Remote Data Analyst Assistant typically handles entry-level data support tasks with basic credentials, working in a remote environment for various organizations. In contrast, the Remote Data Analyst performs more complex analysis, often requiring higher education and experience. Both roles are common in data-driven industries, but they differ in responsibilities and skill levels.

What are the most commonly searched types of Remote Data Analyst jobs in Spring, TX? The most popular types of Remote Data Analyst jobs in Spring, TX are:
What are popular job titles related to Remote Data Analyst Assistant jobs in Spring, TX? For Remote Data Analyst Assistant jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst Assistant jobs in Spring, TX look for? The top searched job categories for Remote Data Analyst Assistant jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Data Analyst Assistant jobs? Cities near Spring, TX with the most Remote Data Analyst Assistant job openings:
Technical Manager - Artificial Intelligence, Data Architecture & Analytics

Technical Manager - Artificial Intelligence, Data Architecture & Analytics

Quorum Software

Houston, TX • On-site, Remote

Full-time

Posted 20 days ago


Job description

Technical Manager – Artificial Intelligence, Data Architecture & Analytics

Location: Houston, Texas or US Remote

Model of Work: Hybrid if located in Houston, TX or Remote with Travel if the work location is US – Remote

Are you excited by challenges? Do you enjoy working in a fast-paced, international and dynamic environment? Then now is the time to join Quorum Software, a rapidly growing company and industry leader in oil & gas transformation.

Quorum Software is the world's largest provider of digital technology focused solely on business workflows that empower the next evolution of energy. From emerging companies to supermajors, throughout every region of the globe, customers rely on Quorum's proven innovation and unmatched global expertise to streamline business operations and make data-driven decisions that optimize profitability and growth. Our industry-leading solutions are transforming energy companies across the entire value chain, helping visionary leaders evolve their organizations into modern energy companies.

Overview

The Technical Manager, Artificial Intelligence, Data Architecture & Analytics will lead the architecture, operations, and advancement of Quorum’s enterprise data, analytics, and AI capabilities. This role oversees platforms including Databricks, Azure Data Factory, Power BI, Tableau, SQL, and related AI/ML technologies that enable enterprise reporting, predictive analytics, and business process optimization.

This role is responsible for aligning business processes with data-driven and AI-enabled insights, ensuring Quorum’s enterprise data warehouse and analytics platforms deliver measurable business value. The Technical Manager will oversee data pipelines, semantic models, dashboards, and AI-based analytics solutions while driving predictive and intelligent analytics capabilities to support smarter business decisions across Finance, Sales, Operations, and other global business functions.

This role plays a critical part in advancing Quorum’s digital transformation by enabling trusted data, scalable analytics, and practical AI solutions that empower operational excellence across global teams.

This position is ideal for a technically hands-on leader who can connect artificial intelligence, data architecture, analytics, and business process improvement to deliver actionable intelligence and measurable outcomes.

Responsibilities

Artificial Intelligence & Predictive Analytics

  • Lead the development and implementation of AI-enabled analytics solutions that support forecasting, pattern recognition, anomaly detection, and predictive business insights.
  • Identify opportunities to apply AI, machine learning, and automation to improve decision-making across Finance, Sales, Operations, and other enterprise functions.
  • Partner with business stakeholders to translate business challenges into scalable AI and analytics use cases.
  • Evaluate, prototype, and guide the adoption of AI/ML frameworks, tools, and methods that align with enterprise data strategy.
  • Ensure AI and predictive analytics solutions are practical, explainable, maintainable, and aligned with business value.

Data Architecture & Engineering

  • Own and maintain the technical architecture of Quorum’s Enterprise Data Warehouse, including Databricks, Azure Data Factory, SQL, and related data technologies.
  • Design and implement scalable data models that represent business processes, operational metrics, and enterprise performance indicators.
  • Manage data ingestion pipelines from systems such as Salesforce, NetSuite, Workday, and other enterprise platforms.
  • Ensure reliability, scalability, security, and cost optimization of data pipelines and infrastructure.
  • Define and enforce standards for data quality, refresh cadence, data governance, model performance, and platform reliability.
  • Partner with Enterprise Architecture and Security teams to ensure data solutions align with enterprise standards, compliance requirements, and security best practices.

Analytics & Business Process Enablement

  • Translate business workflows into analytical models, dashboards, and visualizations that drive insight, accountability, and action.
  • Manage and optimize Power BI and Tableau workspaces, ensuring accurate, timely, and consistent reporting delivery.
  • Collaborate with business teams to build dashboards that monitor performance, revenue, renewals, churn, bookings, and other key business metrics.
  • Align analytics design with operational processes to ensure business users can make timely, data-informed decisions.
  • Deliver and maintain core dashboards and reporting assets such as Master FP&A, SARR, and Executive Bookings Reporting.
  • Establish scalable semantic models and reporting standards that improve consistency, usability, and trust in enterprise analytics.

Team Leadership

  • Lead and mentor a distributed team of data engineers, BI developers, and analytics professionals.
  • Oversee sprint planning, task prioritization, delivery timelines, and quality control for team deliverables.
  • Promote continuous learning around AI, advanced analytics, data automation, data architecture, and visualization techniques.
  • Provide technical guidance and hands-on support to ensure high-quality design, development, testing, and deployment practices.
  • Foster a culture of accountability, collaboration, curiosity, and continuous improvement.
  • Serve as a strategic thinker who understands the business and can translate complex data and technology concepts into actionable business insight.

Cross-Functional Collaboration

  • Partner with Enterprise Architecture, Security, IT, and business teams to align standards, compliance, governance, and data integrity.
  • Work closely with stakeholders across Finance, Sales, Operations, and other functions to understand needs and translate them into technical solutions.
  • Act as the technical bridge between raw data, AI-enabled insights, and business value realization.
  • Communicate complex technical concepts clearly to both technical and non-technical audiences.
  • Support enterprise digital transformation initiatives through trusted data, scalable analytics, and practical AI adoption.
  • And other duties as assigned.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Analytics, Engineering, or a related field.
  • 5+ years of combined experience in data architecture, data engineering, analytics, business intelligence, or AI/ML-enabled analytics.
  • 2+ years of experience leading technical teams, projects, or delivery efforts.
  • Proven experience with Azure Data Factory, Databricks, Power BI, Tableau, and SQL.
  • Strong understanding of data modeling, semantic models, dimensional design, and enterprise data warehouse architecture.
  • Hands-on experience with AI/ML frameworks, predictive analytics, or applied machine learning use cases.
  • Experience designing and operationalizing data pipelines, dashboards, analytical models, and enterprise reporting solutions.
  • Strong business acumen with the ability to connect technical solutions to measurable business outcomes.
  • Excellent problem-solving, documentation, and communication skills, with the ability to bridge technical and business discussions.
  • Experience in agile delivery environments and version-controlled development, such as Git and Azure DevOps.
  • Ability to manage competing priorities in a fast-paced, global environment while maintaining a focus on quality, scalability, and business value.

Additional Details

  • Salary commensurate with experience ($135,000 - $185,000 US Dollars) with bi-weekly pay via direct deposit. Posted salary ranges are made in good faith. Quorum Software reserves the right to adjust ranges depending on the qualifications, experience, training, work history, and geographic location of the selected candidate.
  • Background Check: The successful candidate will need to successfully complete the following clearances: Criminal History Check, Education Verification, Employment Verification, Driver’s License Verification and passport/ID validation.
  • Visa Sponsorship: Employment eligibility to work with Quorum Software in the United States is required as the company will not pursue visa sponsorship for this position. The successful candidate will be required to ensure they maintain and renew any visas or permits that grant employment eligibility where applicable.

About Quorum Software
Quorum Software connects people and information across the energy value chain. Twenty years ago, we built the first software for gas plant accountants. Pipeline operators came next, followed by land administrators, pumpers, and planners. Since 1998, Quorum has helped thousands of energy workers with business workflows that optimize profitability and growth. Our vision for the future connects the global energy ecosystem through cloud-first software, data standards, and integration. The trusted source of decision-ready data for 1,800+ companies, Quorum Software makes the essential connections that let us work better together in the connected energy workplace. For more information, visit quorumsoftware.com.

Quorum Diversity Statement:At Quorum, we are committed to fostering, cultivating, and preserving a culture of belonging. We want to be the place where a diverse pool of talented people join us, stay with us and do their best work. With a diverse team of employees, we grow and learn better together. The collective sum of the individual differences, life experiences, knowledge, innovation, self-expression, and talent that our employees invest in their work represents not only part of our culture, but our reputation and our achievements. We are fully focused on equity and equality and believe deeply in diversity of race, gender, sexual orientation, age, religion, ethnicity, national origin, ability, neurodiversity and all the other characteristics that make us unique.

Quorum Business Solutions and Quorum Software are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, veteran status, disability, genetic information, or any other basis protected by law.

Those applicants requiring reasonable accommodation to the application and/or interview process should notify a member of the Human Resources Department

Our company uses E-Verify to confirm the employment and eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify.