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Data Analyst Data Science Jobs (NOW HIRING)

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who should apply?

Sr. Analyst, Data Science

Fort Mill, SC ยท On-site

$85K - $143K/yr

Job Overview We are seeking a curious and analytically rigorous Senior Analyst, Data Science to uncover key insights that drive strategic decisions and product development for Growth Strategy ...

Sr. Analyst, Data Science

Tempe, AZ ยท On-site

$85K - $143K/yr

Job Overview We are seeking a curious and analytically rigorous Senior Analyst, Data Science to uncover key insights that drive strategic decisions and product development for Growth Strategy ...

Data Analyst/Data Scientist Join a high-performance agile Metrics, Analytics and Reporting Team ... S. in Computer Science, Statistics, Mathematics, or Engineering or equivalent work experience

Using our analytics and visualization tools, you will gain experience working with industry-leading ... Working towards or completed BS or MS in Mathematics, Computer Science, Data Science, Information ...

The data science analyst will also analyze and manipulate large-scale data sets from a multitude of sources, work to operationalize and integrate machine learning solutions into Copart's current ...

Build analytical tools to supplement our shared research framework. Requirements * BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative ...

Data Analyst

Washington, DC ยท On-site

$85K - $115K/yr

Data Analyst PotomacWave is looking for a Data Analyst to join our team supporting a Federal client ... Contribute to the data science community by proposing data-driven quality projects and process ...

Your responsibilities as a Data Analyst or Data Scientist * Develop analytical models, forecasts, and statistical analyses * Build reusable datasets and semantic layers * Translating complex data ...

New

Data Analyst

San Angelo, TX ยท On-site

$65K - $76K/yr

Bachelor's degree in Data Science, Information Systems, Statistics, or a related field. Experience * One year required, three years preferred as a data analyst, data scientist, BI analyst, or related ...

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Data Analyst Data Science information

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$34K

$82.6K

$136K

How much do data analyst data science jobs pay per year?

As of Jun 4, 2026, the average yearly pay for data analyst data science 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 as a Data Analyst in Data Science, and why are they important?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

More about Data Analyst Data Science jobs
What cities are hiring for Data Analyst Data Science jobs? Cities with the most Data Analyst Data Science job openings:
What states have the most Data Analyst Data Science jobs? States with the most job openings for Data Analyst Data Science jobs include:
Infographic showing various Data Analyst Data Science job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, 2% Part Time, 1% Temporary, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Analyst - Data Science

Analyst - Data Science

SynergisticIT

Manhattan, NY โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Opportunities At SynergisticIT

SynergisticIT is aware that the job market is challenging due to tech layoffs, which has led to a flood of laid off jobseekers competing with existing jobseekers. For entry level job seekers to get client interviews and jobs, they need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients.

Since 2010, we have helped jobseekers differentiate themselves by providing clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT, we don't just focus on getting you a job; we make careers. All positions are open for all visas and US citizens. We understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like Apple, Google, Paypal, Western Union, Visa, Walmart Labs etc. to name a few. We have an excellent reputation with the clients.

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates looking to make their careers in the IT industry. We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1B and green card filing to candidates.

We also offer skill enhancement programs for candidates who are either missing skills or are lacking industry/client experience with projects and skills. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. If they are qualified with enough skills and have hands on project work at clients then no need for skill enhancement.

Candidates can benefit from skill enhancement if they fall into the below categories:

  • Candidates who lack experience or are freshers with no actual on job experience with projects with clients
  • Candidates who have had a break in careers
  • Candidates who lack technical competency or skills being demanded by clients
  • Different visa candidates (like OPT/H4EAD/L2EAD) who want to get employed and settle down in the USA

Please check the below links to see success outcomes of our candidates: SynergisticIT Candidate Outcomes

Watch the below videos of us participating at industry events with the top companies in technology:

  • Oracle CloudWorld Event (OCW) Las Vegas 2022 | SynergisticIT - YouTube
  • SynergisticIT at Gartner Data and Analytics Summit 2023 - YouTube

If you have relevant skills and industry experience, please apply. If not, then candidates can opt for skill enhancement.

For getting help with interviews please visit: SynergisticIT Interview Questions

Required skills for Java/Software Programmers:

  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of Core Java, javascript, C++ or software programming
  • Spring boot, Microservices, Docker, Jenkins and REST API's experience
  • Excellent written and verbal communication skills

Required skills for data Science/Machine learning:

  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis

Please understand skills and relevant experience on real world projects are required by clients for selection even if it's a junior or entry level position. The additional skills and project work with hands on experience building projects at client site are the only way a candidate can be picked by clients. If not having the skills or hands on project work at client site then candidates can opt for skill enhancement to gain the required skills and project work. No third party candidates or c2c candidates.

Please only apply to the posting. No phone calls please. Shortlisted candidates would be reached out.