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Senior Data Analyst Machine Learning Jobs in Texas

Data Analyst Senior

Dallas, TX · On-site +1

$107K - $155K/yr

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard ... Develop predictive analytics, machine learning, and artificial intelligence techniques. Use ...

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 ...

New

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 ...

Senior Data Analyst

Plano, TX · On-site

$80K - $101K/yr

The Senior Data Analyst for Stellus Rx will help our communities thrive as a key member of the Technology Team . You will work closely with Stellus Rx leaders and across the organization, as we work ...

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 ...

You will bring broad expertise across advanced analytics, statistical modelling, machine learning ... Senior Data Scientist AI capabilities. The ideal candidate combines technical depth, business ...

You will bring broad expertise across advanced analytics, statistical modelling, machine learning ... Senior Data Scientist AI capabilities. The ideal candidate combines technical depth, business ...

Sr Data Scientist

Dallas, TX · On-site

$140 - $190/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 ...

Senior Data Analyst

Dallas, TX · Hybrid

$125K - $165K/yr

... Senior Data Analyst include supporting and analyzing data anomalies for multiple environments including but not limited to Data Warehouse, ODS, Data Replication/ETL Data Management initiatives. The ...

Senior Data Analyst

Plano, TX · On-site

$110K - $185K/yr

Perform analysis of system data to identify patterns, exceptions, and erroneous data * Partner with senior leadership to support the strategic agenda, planning cadence, roadmap, and prioritization of ...

Perform analysis of system data to identify patterns, exceptions, and erroneous data * Partner with senior leadership to support the strategic agenda, planning cadence, roadmap, and prioritization of ...

Showing results 21-40

Senior Data Analyst Machine Learning information

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.

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 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.

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 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 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:

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.

Data Analyst Senior

Cliftonlarsonallen

Dallas, TX • On-site, Remote

$107K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 5 days ago


CliftonLarsonAllen rating

6.7

Company rating: 6.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

20th of 22 rated bookkeepers and accountants


Job description

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

About the role:

CLA is looking to hire a Data Analyst Senior; you will make use of the Microsoft Power Platform, or a scripting language like R or Python. The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard, or they work out details regarding data access to support a project. Our Data Analysts favorite tools are the Power Platform (Power Apps/Power BI/Power Automate), Excel, DAX, M, R, and Alteryx. In contrast to an Associate, the Senior will develop more autonomy to develop solutions and may lead others, take on administrative tasks, perform support roles, and get involved in new business development.

As a Data Analyst Senior, you will:

Service Specialization: Develop service specific knowledge through greater exposure to peers, internal experts, clients, regular self-study, and formal training opportunities. Gain exposure to a variety of client situations to develop business skills. Retain knowledge gained and performance feedback provided to transfer into future work. Approach all problems and projects with a high level of professionalism, objectivity and an open mind to new ideas and solutions.

Data Analysis: Participate in the collection and analysis of data using a variety of data tools. Together with the Data Analytics team, support the building and implementing of solutions for external clients and internal projects. Assess the effectiveness and accuracy of new data sources and data gathering techniques.

Data Development: Working under the guidance of Data Analytics team leaders to develop custom data models and algorithms to apply to data sets. Develop predictive analytics, machine learning, and artificial intelligence techniques. Use existing processes and tools to monitor and analyze solution performance and accuracy and communicate findings to team members.

Collaboration: Work individually as well as in collaboration with others. Interaction with others will primarily be virtual with leadership and colleagues from other offices. Take on additional roles beyond technical development and client service that may include: serving as primary contact with clients or business leaders on internal projects, take on administrative tasks, perform support roles, and get involved in new business development.

What you will need:

Experience

Four (4) years of experience in data analytics, public accounting, financial consulting, computer science or related field required. Five years is preferred.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree. Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred.

Our approach to compensation emphasizes collaboration and career growth. We pay competitive wages and view compensation as an investment in our people. Factors such as geography, experience, education, skills, and knowledge may impact position of pay within the range.

The compensation range for this position in Colorado is: $104,000 - $150,000

The compensation range for this position inMinnesota is: $99,000 - $145,000

The compensation range for this position inCalifornia is: $107,000 - $155,000

The Compensation range for this position in Texas is: $100,000 - 145,000

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Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.



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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012