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Assistant Data Analytics Jobs in Texas (NOW HIRING)

Crouch Staffing Solutions, Inc.

Data Analyst

Waco, TX · Hybrid

$70K/yr

... then assist with corrections and improvements. * Prepare recurring reports for leadership and ... Bachelor's degree in Business, Finance, Accounting, Data Analytics, Information Systems, Supply ...

TWC Business Unit

Data Analyst (Statewide)

Austin, TX · On-site

$4.8K/mo

... analytics needs. -Interpret results to identify significant differences in data. -Assist in identifying and interpreting data patterns and trends and assessing data quality. -Assist with the ...

Dabella

Data Analyst

Austin, TX · On-site

$75K/yr

Develop, maintain, and manage dashboards, reporting, and analytics using Tableau, Power BI, or ... * Assist with the development of business requirements and specifications for data projects

DaBella

Data Analyst

Austin, TX · On-site

$75K/yr

Develop, maintain, and manage dashboards, reporting, and analytics using Tableau, Power BI, or ... * Assist with the development of business requirements and specifications for data projects

DM Clinical Research

Lead Data Analyst

Houston, TX · On-site

... * Assist in the development of and implementation of process improvement strategies * Promotes ... Minimum five (5) years of experience in data analytics preferably in healthcare or process ...

SWBC

Data Analyst

San Antonio, TX

... solutions, assist leadership by providing research, reports, or dashboards that promote data driven decisions across the organization. Bring your analytics research knowledge to work alongside ...

Swbc

Data Analyst

San Antonio, TX

... solutions, assist leadership by providing research, reports, or dashboards that promote data driven decisions across the organization. Bring your analytics research knowledge to work alongside ...

Panelmatic

Data Analyst

Houston, TX · On-site

... * Assist with enterprise data strategy, analytics modernization, and broader cloud data initiatives to improve operational and financial insight across the business. Requirements Minimum ...

SWBC

Data Analyst

San Antonio, TX · On-site

... solutions, assist leadership by providing research, reports, or dashboards that promote data driven decisions across the organization. Bring your analytics research knowledge to work alongside ...

Panelmatic Inc.

Data Analyst

Houston, TX

... * Assist with enterprise data strategy, analytics modernization, and broader cloud data initiatives to improve operational and financial insight across the business. Requirements Minimum ...

Panelmatic

Data Analyst

Houston, TX

... * Assist with enterprise data strategy, analytics modernization, and broader cloud data initiatives to improve operational and financial insight across the business. Requirements Minimum ...

Panelmatic

Data Analyst

Houston, TX · On-site

... * Assist with enterprise data strategy, analytics modernization, and broader cloud data initiatives to improve operational and financial insight across the business. Requirements Minimum ...

CenterPoint Energy

Senior Data Analyst

Houston, TX · On-site

$82K - $103K/yr

This role requires a strong foundation in data analytics with a good understanding of data science ... * Assist in the development and maintenance of data models, data dictionaries, and data ...

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Assistant Data Analytics information

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

AspectAssistant Data AnalyticsData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, data collection and cleaningAnalyzing data, creating reports, providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and consulting firmsWidely used across industries for data-driven decision making

Assistant Data Analytics roles typically involve supporting data analysis tasks, focusing on data collection and cleaning, while Data Analysts perform in-depth analysis, generate reports, and provide strategic insights. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and responsibilities.

What is an assistant data analytics?

Assistant Data Analytics professionals support data analysts and data scientists by preparing data, running basic analyses, and generating reports. They help collect, clean, and organize data so it can be used for business insights and decision-making. Their role often includes using spreadsheets, databases, and visualization tools to present findings clearly. This position is ideal for those starting in data analytics, as it offers hands-on experience with data processes and tools.

What does an assistant data analyst do?

An assistant data analyst supports data collection, cleaning, and analysis to help organizations make informed decisions. They often use tools like Excel, SQL, or data visualization software and may assist senior analysts with report preparation and data management tasks.

What are the key skills and qualifications needed to thrive as an assistant data analytics, and why are they important?

To thrive as an Assistant Data Analytics professional, you need strong analytical skills, a foundational understanding of statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for interpreting and presenting data insights. These skills and qualities are essential for supporting data-driven decision-making and ensuring accurate, actionable results in business environments.

What are some typical challenges faced by an assistant data analytics professional, and how can they be addressed?

Assistant Data Analytics professionals often encounter challenges such as managing large and sometimes incomplete datasets, prioritizing tasks among competing deadlines, and effectively communicating technical findings to non-technical team members. Building strong organizational skills and becoming proficient with data cleaning tools can help manage data quality issues. Regular collaboration with senior analysts and clear communication with stakeholders can also make it easier to navigate complex projects and bridge gaps between technical analysis and business insights.
What are the most commonly searched types of Data Analytics jobs in Texas? The most popular types of Data Analytics jobs in Texas are:
What are popular job titles related to Assistant Data Analytics jobs in Texas? For Assistant Data Analytics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Assistant Data Analytics jobs in Texas look for? The top searched job categories for Assistant Data Analytics jobs in Texas are:
What cities in Texas are hiring for Assistant Data Analytics jobs? Cities in Texas with the most Assistant Data Analytics job openings:
Assistant Data Analytics jobs near you

AVP Cloud Data Analytics Architecture

GM Financial

Irving, TX • On-site

Full-time

Retirement

Posted 21 days ago

GM Financial rating

7.9

Company rating: 7.9 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

75th of 171 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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