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Data Analytics Computer Science Jobs in Syracuse, NY

John W. Danforth Company

Data Analytics Engineer

Syracuse, NY · On-site

$113K - $135K/yr

Required : • 3-7+ years of experience in data engineering, analytics engineering, or a related field. • Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent ...

Le Moyne College

Senior Analyst, Data

Syracuse, NY · On-site

$85K - $107K/yr

Bachelor's degree in statistics, economics, computer science, and/or business analytics/data analytics required, Master's degree in an analytical discipline such as the social sciences, education ...

Le Moyne College

Senior Analyst, Data

Syracuse, NY · On-site

$85K - $107K/yr

Bachelor's degree in statistics, economics, computer science, and/or business analytics/data analytics required, Master's degree in an analytical discipline such as the social sciences, education ...

ProAct

Senior Data Solutions Analyst

East Syracuse, NY

$81K - $102K/yr

The Data Solutions Analyst will partner cross functionally to understand underlying business issues ... Bachelor's Degree or higher in Business or Computer Science Experience: * Required: 3-5 or more ...

Syracuse City School District

Data Analyst

Syracuse, NY · On-site

... Political Science or Psychology or a closely related field; OR, * Graduation from a regionally ... data collection and analysis; OR, * Five (5) years of work experience, or its part-time equivalent ...

Beyond SOF

SOFTWARE ENGINEER

Syracuse, NY · On-site

Work with senior engineers to implement data analytics used for health monitoring, fault analysis ... Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or related field ...

Syracuse University

AI Data Engineer

Syracuse, NY · On-site

$89K - $95K/yr

Bachelor's degree in Artificial Intelligence, Computer Science, Data Science, or related field, or ... Strong problem-solving, analytical, and collaboration skills. * Excellent written and verbal ...

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Data Analytics Computer Science information

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How much do data analytics computer science jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for data analytics computer science in Syracuse, NY is $54.09, according to ZipRecruiter salary data. Most workers in this role earn between $43.46 and $61.30 per hour, depending on experience, location, and employer.

What is the difference between Data Analytics Computer Science vs Data Science?

AspectData Analytics Computer ScienceData Science
Required CredentialsBachelor's in Computer Science, Data Analytics, or related fields; certifications like Google Data AnalyticsBachelor's or higher in Computer Science, Statistics, or related; certifications like Certified Data Scientist
Work EnvironmentBusiness settings, analytics teams, IT departmentsResearch labs, tech companies, consulting firms
Employer & Industry UsageFinance, healthcare, marketing, retailTech, finance, healthcare, academia

Data Analytics Computer Science focuses on analyzing data to inform business decisions using programming and statistical tools. Data Science encompasses a broader scope, including developing models, machine learning, and predictive analytics. While both roles require similar credentials and often work in overlapping industries, Data Science typically involves more advanced statistical and modeling skills, whereas Data Analytics Computer Science emphasizes data processing and visualization for decision-making.

What cities near Syracuse, NY are hiring for Data Analytics Computer Science jobs?

Cities near Syracuse, NY with the most Data Analytics Computer Science job openings:

Data Analytics Computer Science jobs near you

Data Analytics Engineer

John W. Danforth Company

Syracuse, NY • On-site

$113K - $135K/yr

Full-time

Re-posted 3 days ago

Job description

Job Summary:
John W. Danforth Company, one of the largest mechanical contractors in the Northeast, is growing! As a Data Analytics Engineer, you will play a critical role in enabling data-driven decision-making across the organization by designing, building, and maintaining scalable data pipelines and analytics-ready datasets.
Responsibilities:
• Build, maintain, and optimize ETL/ELT pipelines to support scalable data processing and integration across systems.
• Integrate data from internal and external sources while ensuring accuracy, consistency, and availability.
• Develop and maintain logical and physical data models, including analytics-ready data layers for reporting and insights.
• Deliver clean, reliable datasets that enable self-service analytics and support business intelligence tools.
• Implement data quality checks, validation processes, and monitoring to ensure data integrity.
• Support data governance initiatives, including metadata management, lineage, and compliance with security and regulatory standards.
• Optimize data pipelines, queries, and storage solutions to improve performance, scalability, and cost efficiency.
• Collaborate with IT, engineering, and business stakeholders to translate requirements into scalable data solutions.
• Troubleshoot production issues, provide enhancements, and contribute to continuous improvement efforts.
Qualifications:
Required:
• 3–7+ years of experience in data engineering, analytics engineering, or a related field.
• Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)
• Strong SQL skills and experience with data modeling concepts and techniques.
• Experience with ETL/ELT tools and frameworks.
• Familiarity with cloud platforms such as Azure, AWS, or GCP.
• Knowledge of data warehousing concepts (e.g., dimensional modeling).
• Proficiency in programming or scripting languages such as Python, Spark, or similar.
• Strong problem-solving, analytical, and communication skills.
• Ability to manage multiple priorities and work collaboratively across teams.
Company:
John W. Danforth Company is a construction company that offers HVAC, plumbing, and maintenance services. It is a sub-organization of Emcor Group. Founded in 1884, the company is headquartered in Tonawanda, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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