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Data Analyst Machine Learning Jobs (NOW HIRING)

Machine Learning Engineer

Mount Pleasant, SC ยท On-site

$109K - $131K/yr

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics ...

We have a career opportunity for a Machine Learning / Data Scientist to develop advanced analytical models and experiments that enhance decision-making, improve forecasting, and uncover insights ...

Data Analyst

Manhattan, NY ยท On-site

$1.0K - $2.0K/yr

Familiarity with advanced data analysis techniques and machine learning algorithms. * Knowledge of database management systems and SQL. Responsibilities: * Collect, clean, and preprocess agricultural ...

Data Analyst

Anchorage, AK ยท On-site

$1.5K - $2.0K/yr

Familiarity with advanced data analysis techniques and machine learning algorithms. * Knowledge of database management systems and SQL. Responsibilities: * Collect, clean, and preprocess agricultural ...

You'll transform data, develop visualizations to assist with understanding, and conduct analysis to make recommendations on data strategies to improve Machine Learning model development. Day-to-day ...

You'll transform data, develop visualizations to assist with understanding, and conduct analysis to make recommendations on data strategies to improve Machine Learning model development. Day-to-day ...

Data Analyst

Mason, OH ยท On-site +1

They work with large datasets, employing statistical methods, data visualization techniques, and machine learning tools to uncover actionable insights. Data Analysts play a crucial role in helping ...

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Data Analyst Machine Learning information

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$34K

$82.6K

$136K

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

As of Jul 9, 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.

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.

What cities are hiring for Data Analyst Machine Learning jobs? Cities with the most Data Analyst Machine Learning job openings:
What are the most commonly searched types of Data Analyst Machine Learning jobs? The most popular types of Data Analyst Machine Learning jobs are:
What states have the most Data Analyst Machine Learning jobs? States with the most job openings for Data Analyst Machine Learning jobs include:
Infographic showing various Data Analyst Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Entry Level Python Programmer/Data Scientist/Analyst

Entry Level Python Programmer/Data Scientist/Analyst

SynergisticIT

Arlington, VA โ€ข On-site

Other

Posted 6 days ago


Job description

Entry-Level Data Analyst โ€” Start Your Career in Data With Practical Skills Data analyst roles are attractive because they sit at the intersection of business, technology, and decision-making. But entry-level data roles are also competitive. Employers want candidates who can write SQL queries, clean data, build dashboards, understand business metrics, and communicate insights clearly.

A degree or certificate may help, but it is often not enough by itself. SynergisticIT is looking for candidates interested in data analytics, SQL, Python, Excel, Power BI, Tableau, business reporting, data visualization, and dashboard development. This role is well-suited for recent graduates, career changers, and candidates who enjoy solving problems with data.

Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Client JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ SynergisticIT JOPP is good for aspiring data analysts because it focuses on job readiness, not just learning tools.

Candidates can strengthen their technical stack, build portfolio-style projects, improve resume keywords, and prepare for interviews where they may need to explain SQL logic, dashboards, data-cleaning decisions, and business impact. If you are ready to turn your interest in data into a career path, Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also.

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