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Senior Data Analyst Ai Jobs in Rochester, NY (NOW HIRING)

MegazoneCloud

Senior Data Engineer - GCP

Rochester, NY · On-site

$145K - $165K/yr

Who We're Looking For Megazone Cloud is looking for a Senior Data Engineer to help lead and define ... IAM Analytics & AI Looker, Power BI, Vertex AI, Gemini What You Bring • 5-8+ years of ...

DataAnnotation

Treasury Analyst - AI Trainer

Rochester, NY · Remote

$50 - $100/hr

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

MegazoneCloud

Sr. Data Engineer

Rochester, NY · On-site

$145K - $165K/yr

Experience with GenAI , AI/ML frameworks, and MLOps. * Certifications in Databricks, Snowflake, or AWS. Why You'll Love It Here * Our Product is Our People: We live by this. We invest in people who ...

Pwc

Data Engineer - Senior Associate

Rochester, NY

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Strategy-Manager

Rochester, NY

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

Pwc

Data Governance- Manager

Rochester, NY · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

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$54.3K

$97.9K

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How much do senior data analyst ai jobs pay per year?

As of Aug 17, 2026, the average yearly pay for senior data analyst ai in Rochester, NY is $97,908.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,900.00 and $107,100.00 per year, depending on experience, location, and employer.

What is a senior data analyst AI?

A Senior Data Analyst AI is an experienced professional who specializes in analyzing complex data sets using artificial intelligence and machine learning techniques. Their role involves designing data models, interpreting large volumes of data, and providing strategic insights to drive business decisions. They often work with data scientists, engineers, and business stakeholders to develop advanced analytics solutions. Senior Data Analysts in AI also mentor junior analysts and help implement best practices in data analysis and AI integration. Their expertise is essential for organizations looking to leverage AI to gain a competitive edge.

What are the key skills and qualifications needed to thrive as a senior data analyst AI?

To thrive as a Senior Data Analyst AI, you need advanced analytical skills, expertise in statistics, and a strong background in data science or a related field, often supported by a relevant degree. Proficiency in programming languages like Python or R, experience with machine learning libraries, and familiarity with data visualization tools such as Tableau or Power BI are essential, alongside certifications like Microsoft Certified: Data Analyst Associate or Google Data Analytics Professional Certificate. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills ensure accurate analysis, impactful recommendations, and successful collaboration with technical and non-technical stakeholders.

How does a senior data analyst AI typically collaborate with data scientists and engineering teams on AI projects?

As a Senior Data Analyst AI, you frequently collaborate with data scientists to interpret complex datasets, validate model outputs, and provide actionable insights. You also work closely with engineering teams to ensure data pipelines are robust and optimized for AI model development and deployment. This cross-functional teamwork often involves participating in project planning, sharing findings in regular meetings, and refining data requirements to support evolving AI initiatives. Effective communication and a strong understanding of both analytics and AI principles are essential for success in these collaborative environments.

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Senior Data Analyst Ai jobs near you

Senior Data Analyst

Avani Technology Solutions, Inc.

Rochester, NY • On-site

$84K - $107K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Position: Senior Data Analyst (Information Services Analyst II)
Location: Rochester, NY
Duration: 6+ Months
This Senior Data Analyst position (Information Services Analyst II) is in the Department of Information Technology and is responsible for helping to advance the use of data to support current and future initiatives. This position ensures a deep understanding of business processes of new data capabilities. This role will work closely with other business leaders to analyze business processes and data requirements for data modeling and data transformation. This position will develop Database and Warehousing Designs across multiple platforms and computing environments and as well as overall Data Architecture.
Coordinate and lead meetings with business leaders to discuss data needs and challenges, elicit requirements, and set the vision and direction for the use of data to support both business areas and strategic data plan.
This is an exciting time to join the City of Rochester IT Department as a Sr. Data Analyst (Information Services Analyst II).
The position will assist in designing, modeling, developing, and supporting Data Management for over 250 applications (including video). The successful candidate can enjoy working in collaboration with a skilled, dedicated and convivial team.
We offer an excellent benefits package, and understand the importance of work life balance.
Preferred Qualifications:
  • Strong knowledge of business process, data or information management, data flows, data relationships, data quality standards, processes and proficiency with data analytical and quality tools.
  • Apply knowledge of IT systems generally and analytic tools specifically, including Excel, SQL, SSIS, SSAS, SSRS, and Power BI.
  • Knowledge of program management concepts, project management and implementation techniques, process reengineering, and change management.
  • Understanding of the importance and benefits of good data quality, and the ability to champion results across functions.
  • Excellent facilitation skills including the ability to gain cross-departmental consensus.
  • Excellent team building skills in working with all levels of the organization, develop and communicate standards and procedures and direct problem resolution.
  • Demonstrated analytical, problem solving and research skills that facilitate working on problems that are complex and often unique.
  • Initiative and ability to use technical knowledge to identify and address key issues, and determine resolution strategies aligned to business needs.
  • Excellent verbal, written and presentation skills, with the ability to understand and translate abstract concepts and ideas, and communicate in both a business and technical context to non-technical audiences at all levels of the organization.
  • Ability to work independently with minimal guidance, as well as collaboratively in a team environment.

Minimum qualifications:
1.Bachelor's degree in Computer Science or closely related field AND two (2) years' experience in software, database, and data warehouse design development and maintenance.
OR
1.Bachelor's degree AND three (3) years' experience as described in I above.

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