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Senior Data Analyst Machine Learning Jobs in Texas

3coresystems

Senior Data Analyst

Austin, TX · Hybrid

$85K - $107K/yr

Senior Data Analyst Location: Deerfield Beach FL (Hybrid \- 3 Days a week onsite) Contract: 6+ Months Contract NOTE : Must take initiative, not be a task master, must be a critical thinker ...

Central Health

Senior Data Analyst

Austin, TX · On-site +1

$86K - $109K/yr

Overview The Senior Data Analyst serves as a key resource for business intelligence, performance and operational analysisfor Central Health. Under general direction of the Central Health's Analytics ...

New

InfoVision, Inc.

Sr. Data Analyst

Irving, TX · On-site

$82K - $104K/yr

Job Title: Sr. Data Analyst Location: Irving, TX (Hybrid) Duration: 12+ Months High Level Roles & Responsibilities : Key Responsibilities * Data Sourcing & Ingestion Strategy: Act as the primary ...

Central Health

Senior Data Analyst

Austin, TX · On-site +1

$86K - $109K/yr

Overview The Senior Data Analyst serves as a key resource for business intelligence, performance and operational analysisfor Central Health. Under general direction of the Central Health's Analytics ...

New

Central Health

Senior Data Analyst

Austin, TX · On-site +1

$86K - $109K/yr

Overview The Senior Data Analyst serves as a key resource for business intelligence, performance and operational analysisfor Central Health. Under general direction of the Central Health's Analytics ...

New

SmartLight Analytics

Senior Data Analyst

Plano, TX · On-site +1

$80K - $101K/yr

The Senior Data Analyst will collaborate with cross-functional teams to translate complex data findings into clear, concise, and actionable recommendations. This position is only eligible for legal ...

Central Health

Senior Data Analyst

Austin, TX · On-site +1

$86K - $109K/yr

The Senior Data Analyst serves as a key resource for business intelligence, performance and operational analysisfor Central Health. Under general direction of the Central Health's Analytics Quality ...

New

Zynga

Senior Data Analyst - Poker

Austin, TX · On-site

$85K - $107K/yr

Zynga Poker is seeking a Senior Data Analyst to help drive decisions that impact millions of ... machine learning. * Experience/ Demonstrated interest in improving analytics team's processes and ...

Hershey Company

Sr Data Scientist

Dallas, TX · On-site

$100 - $130/hr

... machine learning and statistical techniques to shape the future of snacking. As a Sr. Data ... Utilizing advanced analytics, you'll forecast trends, understand customer preferences, and optimize ...

TXU Energy

Senior Data Analyst

Irving, TX · On-site

$82K - $104K/yr

Job Summary As Senior Data Analyst, you will be responsible for leading data analysis projects and driving insights that impact business decisions. The successful candidate will have extensive ...

Vistra Energy

Senior Data Analyst

Irving, TX · On-site

$82K - $104K/yr

Job Summary As Senior Data Analyst, you will be responsible for leading data analysis projects and driving insights that impact business decisions. The successful candidate will have extensive ...

Vst

Senior Data Analyst

Irving, TX · On-site

$82K - $104K/yr

Job Summary As Senior Data Analyst, you will be responsible for leading data analysis projects and driving insights that impact business decisions. The successful candidate will have extensive ...

Fidelity Investments

Senior Data Scientist

Westlake, TX · On-site

Strong technical foundation in machine learning and statistical modeling, with deeper experience in ... Lead data analysis with diverse scope and complex business and technical challenges * Develop best ...

Georgia IT, Inc.

Sr.Data Analyst

Plano, TX · On-site

$82K - $104K/yr

Georgia IT, Inc. is seeking a Sr. Data Analyst to work onsite in Plano, TX. The role involves interpreting business acumen, managing regulatory reporting, and automating outputs for business partners.

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All JobsData Analyst Machine Learning JobsSenior Data Analyst Machine Learning JobsSenior Data Analyst Machine Learning Jobs in Texas

Senior Data Analyst Machine Learning information

What is a senior data analyst machine learning?

A Senior Data Analyst in Machine Learning is a professional who analyzes large datasets to extract insights and supports the development and implementation of machine learning models. They often work closely with data scientists, engineers, and business stakeholders to identify trends, prepare data, and ensure the quality and relevance of data used in machine learning projects. Their role typically includes advanced data analysis, developing data pipelines, creating reports, and interpreting the results of machine learning models to drive business decisions.

What are the key skills and qualifications needed to thrive as a senior data analyst machine learning?

To thrive as a Senior Data Analyst Machine Learning, you need strong analytical skills, expertise in statistics, and advanced proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with machine learning frameworks (such as scikit-learn, TensorFlow, or PyTorch), data visualization tools, and experience with SQL databases are essential, along with relevant certifications like Google Data Analytics or AWS Machine Learning. Outstanding problem-solving abilities, collaboration, and the capacity to communicate complex concepts clearly make individuals stand out in this role. These skills and qualities are crucial for extracting actionable insights from data, building effective predictive models, and driving data-driven decision-making within organizations.

How does a senior data analyst machine learning typically collaborate with data science and engineering teams?

As a Senior Data Analyst with a focus on Machine Learning, you'll work closely with both data science and engineering teams to bridge the gap between data insights and model deployment. You may be responsible for preparing and analyzing large datasets, communicating findings and business needs to data scientists, and ensuring that machine learning models are implemented effectively. Regular collaboration includes participating in code reviews, refining feature engineering, and translating technical results into actionable business recommendations. This cross-functional teamwork is key to ensuring that projects move smoothly from conception to production.

What is the difference between Senior Data Analyst Machine Learning vs Data Scientist?

AspectSenior Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; experience with machine learning toolsBachelor's or Master's in Data Science, Computer Science, or related; strong programming and statistical skills
Work EnvironmentData analysis teams, business units, focus on applying ML models to business problemsResearch and development teams, focus on model development, experimentation, and innovation
Employer & Industry UsageFinance, healthcare, retail, and tech companies using ML for insightsTech firms, startups, research institutions developing advanced models

While both roles involve working with data and machine learning, Senior Data Analyst Machine Learning typically focuses on applying existing models to solve business problems, whereas Data Scientists develop new models and algorithms, often engaging in more research and experimentation.

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

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

What are popular job titles related to Senior Data Analyst Machine Learning jobs in Texas?

For Senior Data Analyst Machine Learning jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Senior Data Analyst Machine Learning jobs in Texas look for?

The top searched job categories for Senior Data Analyst Machine Learning jobs in Texas are:

What cities in Texas are hiring for Senior Data Analyst Machine Learning jobs?

Cities in Texas with the most Senior Data Analyst Machine Learning job openings:

Senior Data Analyst Machine Learning jobs near you
Infographic showing various Senior Data Analyst Machine Learning job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data Analyst

3coresystems

Austin, TX • Hybrid

$85K - $107K/yr

Contractor

Posted 26 days ago

Job description

\n <\/head>\n \n

Role: Senior Data Analyst<\/span><\/span><\/span><\/b>
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Location:<\/span><\/span><\/span><\/b> <\/span><\/span>Deerfield Beach FL (Hybrid \- 3 Days a week onsite)<\/span><\/span><\/b><\/span>
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Contract:<\/span><\/span><\/span><\/b> <\/span><\/span>6+ Months Contract<\/span><\/span><\/b><\/span>
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 <\/span><\/span><\/span>
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NOTE<\/span><\/span><\/span><\/b>: Must take initiative, not be a task master, must be a critical thinker, understand business outcomes, keep up with demands, must be a go getter, great communication, great dialogue with the business, think outside the box.  <\/span><\/span><\/span>
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KEY SKILLS<\/span><\/span><\/span><\/u><\/b>:<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Manager Took over data and BI engineering<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Data analysts and data governance<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Teams that support sales finance operation customer service and claims<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Demanding priorities<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Must be very Analytical<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Data solutions analyst<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Data engineering and analysts<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Not building pipelines<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Must write SQL that will be utilized by a data engineer<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Heavier critical thinking<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Solutions skills<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Power BI nice to have<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Met with stakeholders and business users<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>AI understanding of how copilot can be utilized in day to day work<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>How to structure query so it's built to right technology<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Moving to fabric<\/span><\/span><\/span>
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Job Summary<\/span><\/span><\/span><\/u><\/b>
<\/span> The Senior Data Analyst plays a key role in transforming data into actionable insights and scalable solutions that support business growth and strategic decision\-making. This position partners closely with business stakeholders, technology teams, and data engineers to understand business needs, design and support data solutions, ensure data quality and governance, and deliver meaningful analytics that drive results. The ideal candidate combines strong analytical and technical skills with business acumen, thrives in a collaborative environment, and is passionate about using data, modern analytics platforms, and emerging technologies to solve complex business challenges and create value across the organization.<\/span>
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Key Responsibilities<\/span><\/span><\/span><\/u><\/b>
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Data Analysis, Quality, Testing & Operational Excellence<\/span><\/span><\/span><\/b>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Analyze business data to support management, project teams, data product teams, business stakeholders, and senior leadership.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Present findings, recommendations, and project updates to stakeholders at all levels of the organization.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Develop, execute, and optimize SQL queries to retrieve, profile, aggregate, validate, and analyze data across multiple systems.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Support the full data lifecycle by ensuring data solutions are properly tested, validated, and aligned with change management processes before and after production deployments.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Perform data profiling, quality assessments, validation, testing, and business rule analysis to ensure data accuracy, completeness, consistency, and alignment with business requirements.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Identify and coordinate test data and testing activities to validate data mappings, transformations, semantic models, reporting outputs, and downstream data solutions.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Research, diagnose, and resolve data issues, reporting inconsistencies, data gaps, and process anomalies through root cause analysis and continuous improvement efforts.<\/span>
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Business Partnership & Solution Delivery<\/span><\/span><\/span><\/u><\/b>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Collaborate with business stakeholders, management, ITS, and data engineering teams to gather requirements, validate business definitions, identify data solution opportunities, and prioritize business and information needs.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Translate business processes, questions, and stakeholder needs into data, reporting, semantic modeling, and advanced analytics requirements, including opportunities where AI\-enabled tools may improve efficiency or insight.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Maintain a strong understanding of business systems, operational data, reporting capabilities, business priorities, and the broader JM Family data ecosystem.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Partner proactively with technology and business teams to strengthen alignment between data, systems, and business processes while anticipating downstream impacts.<\/span>
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Data Architecture, Modeling & Engineering Partnership<\/span><\/span><\/span><\/u><\/b>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Work within modern cloud data warehousing environments and apply concepts including dimensional modeling, star schemas, semantic data models and ETL\/ELT processes used to support data warehouse and analytic solutions.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Perform data lineage analysis, validate SQL transformations and business logic, and troubleshoot issues across data processing pipelines.<\/span><\/span><\/span>
<\/span><\/span><\/p>

<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Partner closely with data engineers to support the design, delivery, maintenance, and ongoing improvement of enterprise data solutions.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Create, maintain and oversee source\-to\-target mappings and ensure alignment between business requirements, data transformations, and downstream systems.<\/span>
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Data Governance, Documentation & Continuous Improvement<\/span><\/span><\/span><\/u><\/b>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Create and maintain data documentation, including data models, data dictionaries, entity\-relationship diagrams, technical specifications, mapping documentation, analysis results, and governance\-related artifacts.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Execute and promote data management, data governance, information security, and related standards, policies, and best practices.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Participate in data governance activities and provide subject matter expertise on data usage, data flows, reporting, systems, business processes, and technology initiatives.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Support operational activities, strategic initiatives, project delivery, and continuous improvement efforts, including identifying opportunities to leverage AI technologies to enhance data analysis processes.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Apply project management principles to support planning, prioritization, execution, and communication of assigned work.<\/span>
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Required Qualifications<\/span><\/span><\/span><\/u><\/b>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Bachelor's degree in a related field or equivalent work experience.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>5+ years of experience in data analytics, business intelligence, data solutions, or business analysis.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Advanced SQL experience and strong data analysis skills.<\/span><\/span><\/span>
<\/span><\/span><\/p>

<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Experience with data warehousing concepts, dimensional modeling, and semantic data models.<\/span><\/span><\/span>
<\/span><\/span><\/p>

<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Experience validating, troubleshooting, and analyzing data across multiple systems.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Experience partnering with data engineering or technology teams to support data solution delivery, validation, and issue resolution.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Strong critical thinking, documentation, communication, and stakeholder management skills.<\/span>
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<\/p>\n

\n Preferred Qualifications<\/span><\/span><\/span><\/u><\/b>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Experience with cloud\-based data platforms and modern data architecture.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Experience with Power BI or other enterprise business intelligence tools for data visualization.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Experience with data governance and metadata management practices.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Experience leveraging AI\-enabled tools to improve analytics, documentation, data preparation, or other repeatable data management processes.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Ability to translate business questions and stakeholder needs into a data model.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Create KPIs, perform trend analysis, and provide actionable insights and recommendations that support business decision\-making.<\/span><\/span><\/span>
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