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Cloud Data Analyst Jobs in Texas (NOW HIRING)

NAVA Software Solutions

Cloud Data Manager

Houston, TX · On-site

The Cloud Data Manager will lead a team of data analysts, responsible for implementing data projects while ensuring a high level of data quality based on corporate and industry standards. The team ...

Panelmatic, Inc

Data Analyst

Houston, TX · On-site

$80 - $100/hr

... pipelines, and cloud-based enterprise reporting capabilities. * Create and maintain data ... Bachelor's degree in Business Analytics, Data Analytics, Information Systems, Computer Science ...

Panelmatic

Data Analyst

Houston, TX · On-site

Working knowledge of Microsoft Fabric, data pipelines, Lakehouse concepts, or other modern cloud ... Strong analytical, problem-solving, communication, and stakeholder management skills. * Ability to ...

Panelmatic

Data Analyst

Houston, TX · On-site

Working knowledge of Microsoft Fabric, data pipelines, Lakehouse concepts, or other modern cloud ... Strong analytical, problem-solving, communication, and stakeholder management skills. * Ability to ...

Panelmatic

Data Analyst

Houston, TX · On-site

Working knowledge of Microsoft Fabric, data pipelines, Lakehouse concepts, or other modern cloud ... Strong analytical, problem-solving, communication, and stakeholder management skills. * Ability to ...

Smash CR

Data Analyst (P-174)

Dallas, TX · On-site

Role summary We are looking for an experienced Technical Data Analyst with a strong background in data analysis, large-scale data processing, and cloud-based data environments. The ideal candidate ...

Ampcus Inc

Senior Data Analyst

Plano, TX · On-site

$82K - $104K/yr

We are seeking a highly analytical and detail-oriented Data Analyst with a strong background in ... cloud data platforms (e.g., Snowflake, AWS). Company : Ampcus is a global business, technology ...

Smash CR

Data Analyst (P-174)

Dallas, TX · On-site

Role summary We are looking for an experienced Technical Data Analyst with a strong background in data analysis, large-scale data processing, and cloud-based data environments. The ideal candidate ...

AMSYS Talent

Data Business Analyst

Houston, TX · On-site

The right candidate brings 5+ years of BA or data analyst experience, hands-on familiarity with ... Experience with modern cloud data platforms (Snowflake, Azure, AWS) and data quality or MDM tools ...

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How much do cloud data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for cloud data analyst in Texas is $76,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What is a cloud data analyst?

A Cloud Data Analyst is responsible for analyzing and managing data stored in cloud-based platforms. They use data visualization, querying, and analytics tools to interpret data and provide insights that drive business decisions. Their role often involves working with cloud services like AWS, Google Cloud, or Azure to optimize data storage, processing, and security. They collaborate with data engineers, business teams, and IT professionals to ensure data accuracy and accessibility. Strong skills in SQL, Python, and cloud-based data tools are essential for this role.

What does a cloud data analyst do?

A typical day for a Cloud Data Analyst involves extracting, cleaning, and analyzing large datasets stored on cloud platforms, collaborating closely with data engineers and business teams to translate business goals into data solutions. You might develop automated data pipelines, create insightful dashboards, or run ad hoc analyses to support strategic decision-making. Regular tasks also include troubleshooting data issues, optimizing cloud data processes, and presenting findings to stakeholders. The role is highly collaborative and may require adapting quickly to shifting project priorities, making it both dynamic and rewarding.

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

To thrive as a Cloud Data Analyst, you need strong analytical abilities, experience with data modeling, and a solid understanding of cloud computing concepts, often supported by a degree in computer science, data analytics, or a related field. Familiarity with tools such as SQL, Python, cloud services like AWS, Azure, or Google Cloud, and relevant certifications (e.g., AWS Certified Data Analytics) is commonly required. Excellent problem-solving, communication, and collaboration skills help you interpret data findings and work effectively with technical and non-technical stakeholders. These skills are important to ensure accurate data-driven insights, efficient data management in cloud environments, and impactful business decisions.

Are cloud data analyst jobs still in demand?

Cloud data analyst jobs remain in high demand due to the increasing adoption of cloud computing and data-driven decision making across industries. Professionals with skills in data analysis, cloud platforms like AWS or Azure, and tools such as SQL and Python are sought after, with job growth expected to continue as organizations prioritize scalable data solutions.

What are the most commonly searched types of Cloud Data Analyst jobs in Texas?

The most popular types of Cloud Data Analyst jobs in Texas are:

What are popular job titles related to Cloud Data Analyst jobs in Texas?

For Cloud Data Analyst jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Cloud Data Analyst jobs in Texas look for?

The top searched job categories for Cloud Data Analyst jobs in Texas are:

What cities in Texas are hiring for Cloud Data Analyst jobs?

Cities in Texas with the most Cloud Data Analyst job openings:

Cloud Data Analyst jobs near you
Infographic showing various Cloud Data Analyst job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $76,992 per year, or $37 per hour.

AVP Cloud Data Analytics Architecture

GM Financial

Irving, TX • On-site

Full-time

Retirement

Re-posted 19 days ago

GM Financial rating

8.2

Company rating: 8.2 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

57th of 178 rated vehicle equipment hire

Job description


Why GM Financial Technology?
Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.
Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.
This position will be posted until filled.
About the role:
The AVP Cloud Data Analytics Architecture will lead the cloud data architecture team and scale the Data & Analytics organization globally. As an experienced cloud data architect, this role will partner with business stakeholders to capture data, analytics, AI/ML, and GenAI requirements; design, develop, and deploy Enterprise Cloud Data and AI solutions; and integrate data from disparate sources across cloud, hybrid, and multi-cloud environments, deploy compliant infrastructure and support cloud resources (SRE).
They will bring hands-on expertise in Azure (Data & AI), Databricks (Delta Lake, MLflow, Model Registry, Feature Store), APIs, microservices, and event-driven architectures. The AVP will ensure the cloud, data, machine learning, and AI platforms are scalable, secure, cost-optimized (FinOps), and compliant to meet future growth and business domain requirements. With a passion for building agile teams, this leader will drive planning and execution while collaborating across cross-functional teams to deliver mission-critical outcomes. The AVP will build strong partnerships with cloud data architects, cloud platform teams, engineering teams, and vendors to scale global data and AI architecture and capabilities across the enterprise.
This position reports to the VP, IT Delivery and Deployment
Responsibilities
What makes you an ideal candidate:
Strategy & Leadership
  • Architect the data and analytics platform including AI/ML and GenAI capabilities to support the Company's vision, goals, and strategies.
  • Develop cloud architecture solutions for data, machine learning, artificial intelligence (including LLMs), and analytics leveraging Azure, Informatica, and Databricks including cloud infrastructure.
  • Translate broad strategies into AI-enabled data architecture blueprints and roadmaps, aligning to strategic objectives and measurable business outcomes.
  • Collaborate with Data Leadership to define cloud data & AI architecture, Digital Transformation, and Data & Analytics priorities and goals.
  • Partner with the VP Cloud Data Analytics Architecture on department performance and accountability for business results.

Architecture & Delivery
  • Architect the end-to-end flow of data and AI features from transactional systems and master data through curation layers (bronze/silver/gold) into cloud data platforms (ADLS, Delta Lake) and consuming applications/services.
  • Design RAG (Retrieval-Augmented Generation) and LLM reference architectures on Azure using Databricks, Azure Machine Learning, Azure Cognitive Search (vector), and Azure OpenAI Service where appropriate.
  • Architect and monitor data and model pipelines across Event Hubs/Service Bus, APIs/microservices, and streaming frameworks to support real-time analytics and AI inference.
  • Establish AI-ready data models, semantic layers, and feature engineering standards to fuel ML and GenAI workloads.
  • Interact with software vendors, data and service providers supporting AI/data architecture and integration initiatives in the cloud.
  • Define and report release needs for product/architecture with respect to business objectives, security, data dependency, compliance, and timeliness.

Collaboration & Enablement
  • Collaborate with business and technical teams to develop end-to-end enterprise solutions for data, analytics, machine learning, and artificial intelligence in the cloud.
  • Coach, mentor, and train cloud data architecture team members on AI platform patterns, MLOps/LLMOps, Databricks ML, Azure ML, and secure development practices.
  • Assist leadership in annual planning, budgeting, and capacity planning for AI & data platform investments and managed services.
  • Champion an environment of trust, continuous improvement, innovation, quality outcomes, and self-development.
  • Develop relationships with key business and technical decision makers; drive long-term cloud data & AI adoption; enable internal advocacy and best-practices sharing.
  • Share insights and best practices; proactively remove architectural blockers to accelerate AI and data initiatives.

Qualifications
Experience:
  • 7-10 years building enterprise-scale cloud data architecture and applications to support ML/AI and analytics (required).
  • 7-10 years in cloud application development solutions (PaaS, SaaS, IaaS, Serverless, Data Orchestration, API Management) (required).
  • 7-10 years with scalable architectures using Azure App Service, API Management, serverless, container orchestration, microservice frameworks (required).
  • 7-10 years with DevOps and CI/CD toolchains (Azure DevOps, GitHub) (required).
  • 3+ years delivering production ML/AI solutions (preferred), including Databricks ML and Azure Machine Learning.
  • Leadership: 7-10 years management or leadership experience (required).
  • High School Diploma or equivalent (required).
  • Bachelor's Degree in a related field or equivalent work experience (required). Master's Degree in a related field (preferred).
  • Preferred Certifications (nice-to-have): Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Azure AI Engineer Associate Databricks: Certified Data Engineer Professional / Machine Learning Professional

Working effectively within an AI enabled environment:
  • Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
  • Skills in evaluating AI outputs for accuracy, compliance, and bias
  • Experience integrating AI into workflows to improve efficiency or insights
  • Familiarity with AI assisted research, summarization, and content generation
  • Understanding of responsible AI use, including ethics and data protection

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Compensation: Competitive pay and bonus eligibility.
Work Life Balance: Flexible hybrid work environment, 3-days a week in Las Colinas, TX office.
This position is not open to agency submissions

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