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Data Intelligence Analyst Jobs in Rochester, NY (NOW HIRING)

Analyst, Growth

Rochester, NY · On-site +1

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... A self-starter with intellectual curiosity and a collaborative mindset * Experience in health tech, ...

Legal Analyst

Rochester, NY · Remote

$40 - $60/hr

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Family law * Intellectual property law * Tax law * Labor and employment law * Immigration law

Analyst, Growth

Geneseo, NY · On-site +1

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... A self-starter with intellectual curiosity and a collaborative mindset * Experience in health tech, ...

The ideal candidate is intellectually curious and entrepreneurial with a strong bias to action ... Analyze claims and cost savings data to drive insights for reporting and product improvement

The ideal candidate is intellectually curious and entrepreneurial with a strong bias to action ... Analyze claims and cost savings data to drive insights for reporting and product improvement

Senior Legal Analyst

Rochester, NY · Remote

$40 - $60/hr

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Family law * Intellectual property law * Tax law * Labor and employment law * Immigration law

Manage Foreign invoices and data within the firm's designated applications * Maintain e-files ... Minimum of four (4) years of progressive Intellectual Property experience. * Demonstrated ...

... Data Processing/Analytics/Science, Computer Science, Software Engineering, Artificial Intelligence and Robotics preferred - Demonstrating exceptional team leadership abilities - Managing client ...

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

Retail Data Collection Associate - PT

Victor, NY · On-site

$14.50 - $16.75/hr

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... CROSSMARK Field Intelligence Team. The primary function of this team is to travel locally to ...

Retail Data Collection Associate - PT

Victor, NY · On-site

$14.50 - $16.75/hr

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... CROSSMARK Field Intelligence Team. The primary function of this team is to travel locally to ...

Retail Data Collection Associate - PT

Victor, NY · On-site

$14.50 - $16.75/hr

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... CROSSMARK Field Intelligence Team. The primary function of this team is to travel locally to ...

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Showing results 1-20

Data Intelligence Analyst information

See Rochester, NY salary details

$21.2K

$81.4K

$148K

How much do data intelligence analyst jobs pay per year?

As of May 30, 2026, the average yearly pay for data intelligence analyst in Rochester, NY is $81,354.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,400.00 and $101,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Intelligence Analyst, and why are they important?

To thrive as a Data Intelligence Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field, typically supported by a relevant degree. Familiarity with tools like SQL, Python, Tableau, and data warehousing systems, as well as certifications such as Certified Analytics Professional (CAP), is often required. Excellent problem-solving, communication, and critical thinking skills help analysts translate complex data into actionable business insights. These abilities are essential for driving data-driven decision-making and delivering impactful results to organizations.

How does a Data Intelligence Analyst typically collaborate with other departments within an organization?

Data Intelligence Analysts frequently work cross-functionally, partnering with teams like marketing, finance, operations, and IT to understand their data needs and provide actionable insights. They often attend meetings with stakeholders to discuss business objectives, clarify reporting requirements, and present findings. Collaboration is key, as analysts must communicate complex data trends in a clear way to non-technical staff and ensure that their analyses align with broader organizational goals. This teamwork helps drive data-driven decision-making across various departments.

What are Data Intelligence Analysts?

Data Intelligence Analysts are professionals who collect, analyze, and interpret large sets of data to help organizations make informed decisions. They use various data tools and methodologies to identify trends, patterns, and insights that can improve business operations, strategy, and competitiveness. Their work often involves cleaning and organizing data, creating reports or dashboards, and communicating findings to stakeholders. Data Intelligence Analysts play a crucial role in helping companies leverage data for strategic advantage.
Infographic showing various Data Intelligence Analyst job openings in Rochester, NY as of May 2026, with employment types broken down into 5% As Needed, 57% Full Time, 13% Part Time, 1% Temporary, and 24% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $81,354 per year, or $39.1 per hour.
Cloud Engineer- Data/AI Focused

Cloud Engineer- Data/AI Focused

Innovative Solutions

Rochester, NY

$113K - $135.70K/yr

Full-time

Posted 20 days ago


Job description

As a Data & AI Engineer, you’ll build and deploy modern data pipelines and generative AI solutions on AWS — from scalable ETL/ELT workflows and cloud data platforms to production-grade RAG systems and AI agents. One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you’re building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You’ll work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready.


What You’ll Do:

  • Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR
  • Creating and maintaining data extraction, transformation, and loading processes
  • Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB
  • Implementing data lakes using S3 and related AWS services
  • Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude
  • Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases
  • Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
  • Writing and testing SQL queries and stored procedures
  • Documenting technical solutions and providing knowledge transfer to customers
  • Supporting the implementation of data governance and security controls
  • Troubleshooting and resolving issues with data pipelines and AI services
  • Participating in code reviews and implementing feedback
  • Assisting with proof-of-concept implementations for customer engagements

Required Skills:

  • 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
  • 2+ years of hands-on AWS experience with production deployments
  • 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
  • Proven track record delivering production AI applications from concept to deployment
  • Strong understanding of software engineering best practices (version control, testing, code review, documentation)
  • Experience working in agile/scrum environments with distributed teams
  • Excellent problem-solving skills and ability to work independently with minimal supervision
  • Strong written and verbal communication skills for client-facing interactions

Preferred:

  • Technical familiarity with AWS data and AI/ML services and modern data engineering practices
  • Hands-on experience with ETL/ELT processes and data transformation
  • Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks
  • Ability to write and optimize SQL queries across various database platforms
  • Knowledge of data modeling concepts and best practices
  • Strong analytical and problem-solving skills
  • Eagerness to learn new technologies and keep up with cloud and AI innovations
  • Excellent communication skills with the ability to explain technical concepts clearly
  • Attention to detail and commitment to solution quality
  • Collaborative mindset with strong teamwork capabilities
  • Experience or interest in automation and infrastructure as code
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.