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Data Analyst Machine Learning Jobs (NOW HIRING)

Tesla

Sr. Data Analyst, Machine Learning

Fremont, CA · On-site

$94K - $119K/yr

Tesla is seeking a highly skilled Sr Data Analyst to build and scale predictive analytics and machine learning capabilities for their global supply chain organization. The role involves owning and ...

GARGI TECHNOLOGIES INC

Data Analyst

Pennsburg, PA

Build, validate, and deploy machine learning models for predictive and prescriptive analytics. * Develop data pipelines and workflows to support data collection, processing, and reporting.

ConfigUSA

Machine Learning Engineer

Seattle, WA · On-site

$130K - $156K/yr

In this role, you will leverage AWSs advanced data and machine learning services to analyze large datasets, build predictive models, and deploy scalable machine learning solutions. The ideal ...

OneGlobe LLC

Data Analyst

Washington, DC · On-site

Demonstrated knowledge of data mining methods, databases, data visualization, and machine learning concepts. * Strong communication skills for analysis techniques, concepts, and products. * Ability ...

ONEGLOBE LLC

Data Analyst

Washington, DC · On-site

Demonstrated knowledge of data mining methods, databases, data visualization, and machine learning concepts. * Strong communication skills for analysis techniques, concepts, and products. * Ability ...

MeridianLink, Inc.

Sr. Data Analyst

Irvine, CA

$130K - $150K/yr

Use Python & other programming tools for data analysis, machine learning, model building, & model validation to enhance advanced data intelligence features in the FinTech industry. 100% telecommuting ...

Service Experts

Sr. Data Analyst

Richardson, TX

$78K - $98K/yr

This role is critical for driving improved business performance through advanced statistical and machine learning analytics, predictive modeling, and strategic data visualization. The Senior Analyst ...

Service Experts

Sr. Data Analyst

Richardson, TX · On-site

$78K - $98K/yr

This role is critical for driving improved business performance through advanced statistical and machine learning analytics, predictive modeling, and strategic data visualization. The Senior Analyst ...

R2 Technologies Corporation

Data Analyst

Alpharetta, GA · On-site

Data Analyst: This role applies industry-leading methodologies for working with large datasets to ... The ideal candidate will also be passionate about developing machine learning models using Azure ...

Demoind

Machine Learning

California, PA

... data analysis and model creation that will support business decision making. - Take analytical ... MACHINE LEARNING,MATLAB,ARTIFICIAL INTELLIGENCE,SAS,PYTHON,R,DATA MINING

The Garrett Group

Data Analyst

NE · On-site

This role requires strong technical expertise in data science methodologies, machine learning model development, statistical analysis, and business intelligence tools. The ideal candidate will ...

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Data Analyst Machine Learning information

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How much do data analyst machine learning jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data analyst machine learning in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Analyst Machine Learning position, and why are they important?

To thrive as a Data Analyst Machine Learning, you need strong analytical skills, a background in statistics or mathematics, and experience in data preprocessing, model building, and evaluation. Familiarity with programming languages such as Python or R, experience with machine learning libraries (like scikit-learn or TensorFlow), and relevant certifications (such as Google Data Analytics or AWS Certified Machine Learning) are highly beneficial. Effective communication, problem-solving, and collaboration skills help distinguish top performers in this role. These abilities are crucial for transforming raw data into actionable insights, presenting findings clearly, and driving data-informed decisions in business settings.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, the need for human expertise in interpreting results, understanding business context, and developing models remains essential in the field of data analysis and machine learning.

Is 40 too late for data science?

For a Data Analyst Machine Learning role, age is not a barrier to entering the field. Success depends on acquiring relevant skills such as programming, statistics, and machine learning tools, which can be learned at any age through online courses or certifications.

What is a Data Analyst Machine Learning job?

A Data Analyst Machine Learning job involves analyzing large datasets to extract insights and support decision-making using machine learning techniques. Professionals in this role clean, preprocess, and visualize data while building and evaluating predictive models. They work with programming languages like Python or R, use tools such as SQL and Tableau, and apply statistical methods to uncover patterns. This role bridges data analysis and machine learning by transforming raw data into actionable insights. Typically, they collaborate with data scientists, engineers, and business stakeholders to drive data-driven strategies.

What are the typical career progression opportunities for someone in a Data Analyst Machine Learning role?

Many professionals begin as Data Analysts with a focus on machine learning and, as they gain experience, can advance to roles such as Machine Learning Engineer, Data Scientist, or Analytics Manager. Career growth often involves taking on more complex projects, leading analytical teams, and contributing to strategic decision-making within the organization. Expanding your expertise in advanced machine learning techniques, big data tools, and business acumen can open doors to leadership positions. Additionally, working cross-functionally with engineering, product, and business teams provides valuable exposure and opportunities for further advancement.

Do data analysts work with machine learning?

Data analysts often work with machine learning by preparing data, performing exploratory data analysis, and applying basic models to support decision-making. However, more advanced machine learning tasks are typically handled by data scientists or machine learning engineers who have specialized skills in algorithms and programming tools like Python or R.

What is the salary of data analyst in AI ML?

The salary of a Data Analyst specializing in AI and machine learning typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with skills in Python, R, SQL, and machine learning frameworks may command higher salaries, especially in tech hubs or companies focusing on AI projects.
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Data Analyst Machine Learning jobs near you

Data Analyst - Machine Learning

Equation Staffing

Manhattan, NY

Full-time

Posted 16 days ago

Be an early applicant

Job description

Does getting in on the ground floor as an initial stakeholder, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you.

My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands, to millions of dollars, that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B.

The need role is for a data-savvy individual to join the Data Science team as the first Data Analyst, on the team. This person will create consumer-focused research content and support user-centric product development and growth based on real-time feed of data sets and data points. Our ideal candidate is a sharp, thoughtful problem solver, who enjoys identifying key business levers and challenges, and then building analytical frameworks with under to impact strategic decision making.

Will use big data and machine learning to help clients make decisions in a completely unprecedented way. The responsibility of the Data Analyst will be to decipher the data to find the insights and patterns that matter the most.


KEY RESPONSIBILITIES

· Interpret data, analyze results using statistical techniques and provide ongoing reports

· Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality

· Acquire data from primary or secondary data sources and maintain databases/data systems by working with the data procurement team

· Identify, analyze, and interpret trends or patterns in complex data sets

· Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems

· Write SQL/Hive/Spark queries to extract necessary data and present the information in a data visualization platform such as Tableau. Datorama, DOMO or similar to generate business insights.

· Proactively perform data exploration on user behavior to discover future testing opportunities.

· Work collaboratively with a cross-functional team (Product, Marketing & Engineering) to solve complex business/product/marketing problems.

· Create and manage business/operational dashboards to monitor business line performance.


QUALIFICATIONS

· Proven working experience as a data analyst or business data analyst

· Technical expertise regarding data models, database design development, data mining and segmentation techniques

· Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)

· Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)

· BS in Mathematics, Economics, Computer Science, Information Management or Statistics

· Bachelor’s degree in a quantitative field

· You have extensive experience using SQL and Tableau, Looker or similar is a Plus.

· You understand experimentation, hypothesis testing, and causal inference

· Experience in Deep Learning and Machine Learning algorithms is a plus


It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team!


Salary based on experience