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Business Analyst Machine Learning Jobs (NOW HIRING)

Vizient

AVP, Machine Learning & Modeling

Englewood, CO

$156K - $290K/yr

Cross-Functional Collaboration Collaborate with business leaders, IT, and analytics stakeholders to ... Expertise in machine learning, deep learning, and statistical modeling techniques (e.g., regression ...

New

Vizient, Inc.

AVP, Machine Learning & Modeling

Irving, TX · On-site

$156K - $290K/yr

Cross-Functional Collaboration Collaborate with business leaders, IT, and analytics stakeholders to ... Expertise in machine learning, deep learning, and statistical modeling techniques (e.g., regression ...

New

Vizient

AVP, Machine Learning & Modeling

Chicago, IL · On-site

$156K - $290K/yr

Cross-Functional Collaboration Collaborate with business leaders, IT, and analytics stakeholders to ... Expertise in machine learning, deep learning, and statistical modeling techniques (e.g., regression ...

New

Vizient

AVP, Machine Learning & Modeling

Irving, TX

$156K - $290K/yr

Cross-Functional Collaboration Collaborate with business leaders, IT, and analytics stakeholders to ... Expertise in machine learning, deep learning, and statistical modeling techniques (e.g., regression ...

New

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

... complex business problems. Responsibilities : • Design and develop machine learning models and ... statistical analysis and data visualization techniques • Understanding of deep learning ...

Corning

... business value. You will partner with data scientists, analytics leaders, IT, and manufacturing ... machine learning pipelines, including data ingestion, preprocessing, training, validation ...

Givzey

Machine Learning Engineer

... business forward. Responsibilities: * Design, develop, and implement machine learning models and algorithms * Analyze large datasets and extract meaningful insights * Collaborate with cross ...

Diverse CG Sp. z o.o. Sp.k.

NY · On-site

$90 - $140/hr

Position: Business Analyst (ML & AWS SageMaker) As a recruitment company, DCG understands that ... Familiarity with machine learning concepts, CI/CD pipelines and big data * Knowledge of SQL and ...

New

S27a

Machine Learning Engineer

San Francisco, CA · On-site

$140 - $210/hr

... business objects. * Stay familiar with and evaluate state of the art research in process mining ... Perform statistical analysis and apply data mining techniques to diagnose bottlenecks, measure ...

Credence

Business Analyst

Mclean, VA · On-site

$120K - $150K/yr

As organizations are increasingly using Artificial Intelligence and Machine Learning to automate solutions, the Business Analyst is pivotal in bridging the gap between business needs and technology ...

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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 Aug 20, 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.

What is a business analyst machine learning?

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.

How does a business analyst 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 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.

Do business analysts use machine learning?

Business analysts increasingly use machine learning techniques to analyze large datasets, identify patterns, and support data-driven decision-making. Familiarity with tools like Python, R, or specialized analytics platforms is often beneficial for integrating machine learning into their workflows.
Infographic showing various Business Analyst Machine Learning job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $80,350 per year, or $38.6 per hour.

Business analyst Trade Surveillance

Accord Technologies Inc.

Charlotte, NC • On-site

Contractor

Re-posted 7 days ago

Job description

Job Title: Business Analyst – Trade Surveillance
Location: Charlotte, NC (onsite)
Duration: 12 months.
Type: W2 Contract
 
We are seeking a Trade Surveillance Business Analyst to enhance our compliance technology systems, ensuring adherence to FINRA, SEC, and global market abuse regulations.
You will act as the liaison between Compliance, Trading Desks, and IT teams to optimize surveillance systems, detect market manipulation, and reduce false positives in alert generation
 
Job Descriptiion:

  • Requirement Analysis:

    • Gather and document business requirements for trade surveillance systems (e.g., Nasdaq SMARTS, Actimize, Bloomberg SURF).

    • Define rulesets for detecting insider trading, spoofing, wash trades, and other market abuse patterns.

  • System Optimization:

    • Reduce false positives by refining surveillance algorithms and thresholds.

    • Collaborate with quants/data scientists to improve machine learning models for anomaly detection.

  • Stakeholder Collaboration:

    • Work with Compliance Officers to align surveillance workflows with SEC Rule 15c3-5, MAR (Market Abuse Regulation), and MiFID II.

    • Partner with IT to implement enhancements in real-time monitoring and post-trade analytics.

  • Data & Reporting:

    • Analyze trade/communication data (voice, chat, emails) for suspicious activity.

      • Develop dashboards (Power BI, Tableau) for surveillance metrics and regulatory reporting.

Required Skills & Experience:

  • 9+ years as a Business Analyst in Trade Surveillance, Compliance, Capital Markets Technology.

  • Deep understanding of equity/derivative trading behaviors and market abuse typologies.

  • Hands-on experience with surveillance tools (SMARTS, Actimize, Eventus, or similar).

  • Proficiency in SQL, Excel, and data analysis (e.g., parsing FIX messages, trade logs).

  • Knowledge of global regulations (FINRA, SEC, MAR, CFTC).

Preferred:

  • Familiarity with Python/R for data analysis (Pandas, regex for communication surveillance).

  • Exposure to cloud-based surveillance solutions (AWS, Azure).

  • Certifications like CAMS, CFA, or Series 7/24.