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Business Analyst Machine Learning Jobs (NOW HIRING)

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Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

Use machine learning techniques to create scalable solutions for business problems * Analyze and extract key insights from rich stores of customer data * Research and implement ML algorithms for a ...

Compunnel

Machine Learning Engineer

Plano, TX · On-site

Integrate machine learning outputs into analytics platforms, dashboards, and business intelligence solutions. * Collaborate with business stakeholders, technical teams, and leadership to translate ...

E-Solutions

AI Business Analyst

Columbia, SC · Hybrid

IT - DES - Business Analyst - Consultant 9813 02/23/2026 12 Months 2600 Bull Street Columbia, SC ... machine learning, and data governance Experience in government or the public sector Bachelor ...

T Rowe Price

Business Analyst

Owings Mills, MD · Hybrid

Rowe Price Associates, Inc. seeks a Business Analyst in Owings Mills, MD to act as the main ... and machine learning packages. * 2+ years of experience with cloud services such as Snowflake ...

T Rowe Price

Business Analyst

Owings Mills, MD · Hybrid

Rowe Price Associates, Inc. seeks a Business Analyst in Owings Mills, MD to act as the main ... and machine learning packages. * 2+ years of experience with cloud services such as Snowflake ...

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Business Analyst Machine Learning information

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How much do business analyst machine learning jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for business analyst machine learning in the United States is $38.63, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $48.32 per hour, depending on experience, location, and employer.

How does a Business Analyst specializing in Machine Learning typically collaborate with data scientists and engineering teams?

Business Analysts in Machine Learning frequently act as a bridge between business stakeholders and technical teams. They work closely with data scientists to translate business requirements into data-driven solutions and help define project goals, KPIs, and success metrics. Collaborating with engineering teams, they ensure that data pipelines and machine learning models are implemented according to specifications and that business objectives are met. This role often involves facilitating communication, managing expectations, and ensuring alignment across multidisciplinary teams.

What are the key skills and qualifications needed to thrive as a Business Analyst in Machine Learning, and why are they important?

To thrive as a Business Analyst in Machine Learning, you need a solid understanding of data analysis, statistics, and business processes, often supported by a degree in business, statistics, or computer science. Familiarity with tools such as Python, SQL, data visualization platforms, and machine learning frameworks is highly valued, along with certifications like CBAP or data analytics credentials. Strong communication, problem-solving, and stakeholder management skills help you bridge the gap between technical teams and business objectives. These skills are crucial for translating complex data insights into actionable business strategies that drive value.

What is the difference between Business Analyst Machine Learning vs Data Analyst?

AspectBusiness Analyst Machine LearningData Analyst
Required CredentialsBachelor's in Business, Data Science, or related; knowledge of ML toolsBachelor's in Statistics, Mathematics, or related; proficiency in data visualization
Work EnvironmentCollaborates with data scientists and ML engineers in tech or finance sectorsWorks with data sets to generate reports in various industries
Employer & Industry UsageTech companies, finance, e-commerceRetail, healthcare, marketing
Search & Comparison IntentUnderstanding roles involving ML and analytics in businessAnalyzing data for insights and reporting

The main difference is that Business Analyst Machine Learning focuses on applying machine learning techniques to solve business problems, often requiring knowledge of ML tools and algorithms. Data Analysts primarily analyze data sets to generate reports and insights without necessarily implementing ML models. Both roles involve data interpretation but differ in technical complexity and scope.

What are Business Analyst Machine Learning roles?

Business Analyst Machine Learning roles involve bridging the gap between business objectives and machine learning solutions. Professionals in this position analyze data, identify business problems, and collaborate with data scientists to design and implement machine learning models that drive informed decision-making. They often translate business needs into technical requirements, evaluate the impact of ML initiatives, and communicate findings to stakeholders. These roles require a mix of analytical, technical, and communication skills.
Infographic showing various Business Analyst Machine Learning job openings in the United States as of June 2026, with employment types broken down into 5% Internship, 68% Full Time, 11% Part Time, and 16% Contract. Highlights an 63% In-person, 11% Hybrid, and 26% Remote job distribution, with an average salary of $80,350 per year, or $38.6 per hour.

Data Analyst - Machine Learning

Equation Staffing

Manhattan, NY

Full-time

Posted 6 days ago

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