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

Innovative Solutions

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS -- from S3 ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Innovative Solutions

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS - from S3 ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Ralliant

Junior Controls Engineer

Fairport, NY · On-site

Analyze equipment and process performance data while partnering with the Smart Factory Data ... Experience utilizing Artificial Intelligence (AI) tools to improve engineering productivity ...

Pwc

US Tech - AI Engineering Manager

Rochester, NY

$73K - $244K/yr

You will work on developing predictive models, conducting statistical analysis, and creating data ... Responsibilities - Mentor junior engineers and foster their growth - Maintain security and ...

Pwc

AI & GenAI Data Scientist - Manager

Rochester, NY

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in ...

Deloitte

Data Engineer II

Rochester, NY · On-site

$113K - $135K/yr

Work you'll do/Responsibilities As part of the Data & Analytics Foundry you will support numerous ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...

MRB Group

Junior GIS Analyst

Rochester, NY · On-site

Summary We are looking for a motivated Junior GIS Analyst who's ready to jump into real project ... Support civil engineering teams with GIS mapping, data management, and spatial analysis * Create ...

MRB Group

Junior GIS Analyst

Rochester, NY · On-site

Summary We are looking for a motivated Junior GIS Analyst who's ready to jump into real project ... What You'll Do - Support civil engineering teams with GIS mapping, data management, and spatial ...

Pwc

AI Engineer

Rochester, NY

$50K - $112K/yr

... data analysis techniques to discern patterns and trends - Collaborating with team members to enhance AI solutions and drive business growth - Utilizing natural language processing tools like NLTK for ...

Pwc

Data Strategy-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 ...

Pwc

Data Governance- 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 ...

Paychex

Data Solutions Engineer

Rochester, NY · On-site

$113K - $135K/yr

Collaborate on the integration of AI/ML platforms, ensuring seamless multi-cloud and hybrid cloud ... analytics engineers and business stakeholders, to understand platform solution needs. Mentor junior ...

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All JobsAi Data Analyst JobsJunior Ai Data Analyst JobsJunior Ai Data Analyst Jobs in Rochester, NY

Junior Ai Data Analyst information

See Rochester, NY salary details

$34K

$78.3K

$125.8K

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

As of Sep 3, 2026, the average yearly pay for junior ai data analyst in Rochester, NY is $78,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,200.00 and $80,400.00 per year, depending on experience, location, and employer.

What does a junior AI data analyst do?

A Junior AI Data Analyst assists in gathering, cleaning, and interpreting data used in artificial intelligence projects. They support the data science team by preparing datasets, running basic analyses, and generating reports to help improve AI models. Common tasks include data preprocessing, quality checks, and visualizing data trends. This entry-level role is ideal for individuals with strong analytical skills and an interest in machine learning and AI.

What are the key skills and qualifications needed to thrive as a junior AI data analyst, and why are they important?

To thrive as a Junior AI Data Analyst, you need a solid understanding of data analysis, statistics, and programming languages such as Python or R, often supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), machine learning libraries, and SQL databases is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and present findings clearly. These skills are crucial for extracting actionable insights from complex datasets and supporting data-driven decision-making in AI projects.

What are some common challenges faced by junior AI data analysts when working with large datasets, and how can they overcome them?

Junior AI Data Analysts often encounter challenges such as data quality issues, inconsistent data formats, and managing large volumes of information. Overcoming these challenges typically involves learning effective data cleaning techniques, using tools like Python’s pandas or SQL for preprocessing, and collaborating closely with senior analysts or data engineers. Developing strong attention to detail and asking clarifying questions about data sources can also help ensure accurate analysis. Regular communication with the team and leveraging documentation or mentorship opportunities are key strategies for tackling these obstacles.

What is the difference between Junior Ai Data Analyst vs Data Scientist?

AspectJunior Ai Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related field; basic knowledge of AI toolsBachelor's or Master's in Data Science, Statistics, or related; advanced skills in machine learning
Work EnvironmentEntry-level, team-based projects, data analysis, reportingAdvanced analysis, model development, research, complex problem-solving
Employer & Industry UsageTech companies, finance, healthcare, retailTech firms, research institutions, large enterprises

The main difference is that Junior Ai Data Analysts focus on basic data analysis and supporting AI projects, while Data Scientists develop complex models and perform advanced analytics. Junior roles are ideal for those starting in AI, whereas Data Scientists handle more sophisticated tasks requiring deeper expertise.

What are popular job titles related to Junior Ai Data Analyst jobs in Rochester, NY?

For Junior Ai Data Analyst jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Junior Ai Data Analyst jobs in Rochester, NY look for?

The top searched job categories for Junior Ai Data Analyst jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Junior Ai Data Analyst jobs?

Cities near Rochester, NY with the most Junior Ai Data Analyst job openings:

Junior Ai Data Analyst jobs near you
Infographic showing various Junior Ai Data Analyst job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,294 per year, or $37.6 per hour.

AI Data Architect

Innovative Solutions

Rochester, NY • Remote

$150K - $200K/yr

Full-time

Re-posted 26 days ago

Job description

As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS — from S3 data lakes and Glue ETL pipelines to data warehouses and RAG-powered AI systems. You'll own the full data stack across a variety of industries and projects: one engagement you're designing a Redshift data warehouse with medallion architecture processing 31M transactions/month, the next you're building a Bedrock Knowledge Base with OpenSearch vector search. Real ownership, real variety.

Location: This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter

What You'll Do:

  • Design and build S3 data lakes with multi-zone organization, partitioning strategies, lifecycle policies, and encryption
  • Implement medallion architecture (bronze/silver/gold) for data warehouses on Redshift, Snowflake, or Databricks
  • Build AWS Glue ETL pipelines (Python Shell and Spark) with incremental extraction, Data Catalog management, and optimized Parquet output
  • Design star/snowflake schemas, materialized views, and gold-layer models optimized for BI consumption (QuickSight, PowerBI)
  • Configure data warehouse platforms — Redshift with Zero-ETL from Aurora, Snowflake with Snowpipe, Databricks with Delta Lake and Auto Loader
  • Design RAG systems using Bedrock Knowledge Base with OpenSearch Serverless vector search and Titan Embeddings
  • Architect document AI pipelines using Textract, Comprehend, and Bedrock for entity extraction
  • Design SageMaker ML pipelines for training, Model Registry, and inference
  • Lead data discovery sessions with client stakeholders and present architecture recommendations to technical and business audiences
  • Mentor delivery team members on data architecture patterns and AWS data services
  • Contribute to R&D projects evaluating emerging AWS data and AI capabilities
 

Required Skills:

  • 5+ years professional IT experience, 2+ years professional AWS experience
  • At least one AWS Professional-level certification (Solutions Architect Professional or Data Engineer Specialty preferred)
  • Python for data pipelines (Glue jobs, Lambda, SageMaker scripts) and PySpark for Glue Spark jobs
  • SQL and NoSQL on AWS — Aurora PostgreSQL, RDS PostgreSQL, DocumentDB, DynamoDB — including schema design and query optimization
  • Data modeling — conceptual, logical, and physical models for AWS data platforms; normalized silver-layer schemas, denormalized star/snowflake gold-layer schemas, data dictionaries
  • Dimensional modeling and medallion architecture (bronze/silver/gold) on Redshift, Snowflake, or Databricks, including materialized views and incremental refresh patterns
  • AWS Glue ETL (Python Shell and Spark), Glue Data Catalog, and crawlers
  • S3 data lake architecture with partitioning, lifecycle policies, and encryptions
 

Preferred:

  • RAG systems with Bedrock Knowledge Base and OpenSearch Serverless vector search
  • Amazon SageMaker for ML training, Model Registry, and inference
  • AWS HealthLake, FHIR R4 transformation, and HIPAA-compliant data pipelines
  • Document AI with Amazon Textract and Comprehend
  • Amazon Athena, QuickSight, or PowerBI integration
  • Terraform or CloudFormation for data infrastructure as code
  • Step Functions, EventBridge, and Lambda for event-driven pipeline orchestration

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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.