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Advanced Analytics Remote Jobs in Texas (NOW HIRING)

USAA

Financial Analyst Lead

Plano, TX · On-site +1

$127K - $243K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Leads, develops, and motivates the team to provide advanced analytics and insights around key ...

New

USAA

Financial Analyst Lead

San Antonio, TX · On-site +1

$127K - $243K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Leads, develops, and motivates the team to provide advanced analytics and insights around key ...

New

USAA

Financial Analyst Lead - Technology

San Antonio, TX · On-site +1

$127K - $243K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Leads, develops, and motivates the team to provide advanced analytics and insights around key ...

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Advanced Analytics Remote information

What is an advanced analytics remote job?

An Advanced Analytics Remote job involves using data analysis, statistical modeling, and machine learning techniques to extract insights and support business decisions, all while working from a remote location. Professionals in this role analyze complex datasets, build predictive models, and create data visualizations to help organizations solve problems and identify trends. These positions often require strong skills in programming languages such as Python or R, as well as experience with analytics platforms and data visualization tools.

What are some common challenges faced by professionals in remote advanced analytics roles, and how can they be addressed?

Professionals in remote Advanced Analytics roles often encounter challenges such as effective communication with cross-functional teams, managing data security, and maintaining access to necessary tools and datasets. To address these, it's important to establish clear communication channels, leverage collaboration platforms, and follow strict data governance protocols. Regular virtual meetings and documentation also help ensure alignment and project progress, while proactive engagement with IT teams can resolve technical hurdles quickly.

What are the key skills and qualifications needed to thrive as an advanced analytics professional working remotely, and why are they important?

To excel as an Advanced Analytics professional in a remote setting, a strong background in statistics, data analysis, and a relevant degree (such as in mathematics, computer science, or data science) is essential. Expertise with technical tools like Python, R, SQL, data visualization platforms (such as Tableau or Power BI), and familiarity with cloud analytics services is typically required. Outstanding problem-solving abilities, self-motivation, and effective virtual communication are crucial soft skills for remote collaboration and project delivery. These skills ensure that analytical insights are accurate, actionable, and delivered efficiently in a distributed work environment.

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

AspectAdvanced Analytics RemoteData Analyst Remote
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; often certifications in analytics toolsBachelor's in Data, Statistics, or related fields; some certifications preferred
Work EnvironmentRemote, often collaborative with data science teamsRemote, typically individual-focused data analysis tasks
Employer & Industry UsageTech, finance, healthcare, and consulting firmsRetail, marketing, finance, and healthcare sectors
Common Search & Comparison IntentUnderstanding roles requiring advanced analytics skills remotelyFinding remote data analysis jobs and differentiating roles

Advanced Analytics Remote involves working with complex data models, machine learning, and predictive analytics, often requiring specialized skills and certifications. Data Analyst Remote focuses on interpreting data, creating reports, and supporting decision-making with less emphasis on advanced modeling. Both roles are remote but differ in complexity and technical depth.

What are the most commonly searched types of Advanced Analytics jobs in Texas?

The most popular types of Advanced Analytics jobs in Texas are:

What cities in Texas are hiring for Advanced Analytics Remote jobs?

Cities in Texas with the most Advanced Analytics Remote job openings:

Advanced Analytics Remote jobs near you
Infographic showing various Advanced Analytics Remote job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

ML Engineer with Snowflake exp | Remote | USC Only.

Xlysi LLC

Dallas, TX • On-site, Remote

$113K - $136K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Please mention your LinkedIn URL in the resume. It is mandatory.
Job Purpose
The Machine Learning Engineer designs, implements, configures, and maintains advanced analytics environments to solve complex business challenges. This role supports the development of strategies and architectural designs for implementing Advanced Analytics, Big Data, Machine Learning, Natural Language Processing, Generative and Agentic AI solutions, while managing AI and MLOps practices.
Job description
•Architect and build scalable ML pipelines using Databricks (PySpark, MLflow) and Snowflake (Snowpark, Streamlit, Cortex AI)
•Design and implement RAG and LLM-based solutions for enterprise data intelligence and automation
•Develop supervised (classification, regression) and unsupervised ML models for diverse business use cases
•Lead MLOps implementation including model versioning, CI/CD, automated testing, and monitoring (MLflow, Azure DevOps)
•Deploy and scale NLP/ML models into production with robust CI/CD pipelines and cross-team collaboration
•Build and optimize data pipelines for structured and unstructured data (Azure Data Factory, PySpark, SnowSQL)
•Tune Databricks and Snowflake environments for performance and scalability of AI/ML workloads
•Provide technical leadership and mentorship on ML best practices, LLM development, and cloud-native workflows
•Drive ML architecture, evaluate emerging technologies, and align solutions with enterprise goals
•Define development standards, collaborate with stakeholders, and architect enterprise-wide advanced analytics and data platforms
Skills Needed
•Expertise in Snowflake architecture, performance tuning, and SQL optimization.
•Experience with ETL/ELT tools (e.g., Azure Data Factory, Coalesce) and building scalable data pipelines.
•Experience with LLM development (e.g., RAG, document summarization, chatbot integration using LangChain or LlamaIndex).
•Strong understanding of data warehousing, dimensional modeling, and cloud platforms (Azure, AWS, GCP).
•Proficiency in Python, SnowSQL, and automation using Snowflake's API and Snowpark.
•Knowledge of BI tools (e.g., Power BI, Tableau, SSRS) and ML integration using Snowpark, Azure Machine Learning, Databricks, and Snowflake Streamlit.
•Proficiency in MLOps, including MLflow, Azure DevOps, model monitoring, and alerting.
•Familiarity with CI/CD pipelines and version control using Git.
•Strong background in data science, machine learning, deep learning, and advanced statistical techniques.
•Deep understanding of ML system design and industry-standard integration patterns for production AI.
•Excellent written and verbal communication skills.
•Experience in Deep Learning Libraries, such as tensorflow or pytorch is perferred.
•Health care industry experience is a big plus.
HR
Xlysi LLC, Expert Portal Solutions
251 Milwaukee Ave, Buffalo grove, IL 60089
Web: http://www.xlysi.com
E-mail: hr@xlysi.com
Our training portal registration:
http://xlysi.catsone.com/careers/index.php?m=portal&a=apply&jobOrderID=345179&portalID=2106
Xlysi logo

About Xlysi

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Princeton Junction, NJ, US

Year founded

2006

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