1

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

AI Data Architect

Rochester, NY ยท Remote

$150K - $200K/yr

... reviewing applications, analyzing resumes, or assessing responses and identifying potential ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Supply Chain Analyst

Rochester, NY ยท On-site

$68K - $78K/yr

... products. * Assist the Commodity Managers in data analysis to negotiate with suppliers and optimize the supply of products in terms of cost, inventory, and availability. * Identify areas of ...

Compiles and analyzes data to draw conclusions and make recommendations. * Proposes and assists in ... Provides effective technical advice and support to assist management in meeting corporate goals and ...

Compiles and analyzes data to draw conclusions and make recommendations. * Proposes and assists in ... Provides effective technical advice and support to assist management in meeting corporate goals and ...

Compiles and analyzes data to draw conclusions and make recommendations. * Proposes and assists in ... Provides effective technical advice and support to assist management in meeting corporate goals and ...

Compensation & Benefits Analyst

Victor, NY ยท On-site

$67K - $83K/yr

Analyze benefits data to support cost management, plan effectiveness, and decision-making. * Assist with open enrollment planning, execution, and employee education initiatives. * Support compliance ...

Analyze benefits data to support cost management, plan effectiveness, and decision-making. * Assist with open enrollment planning, execution, and employee education initiatives. * Support compliance ...

Collect and assist in the analysis of qualitative/quantitative data reports extracted from various systems. * Incorporate results of statistical and qualitative analyses utilizing Microsoft Excel ...

Collect and assist in the analysis of qualitative/quantitative data reports extracted from various systems. * Incorporate results of statistical and qualitative analyses utilizing Microsoft Excel ...

Collect and assist in the analysis of qualitative/quantitative data reports extracted from various systems. * Incorporate results of statistical and qualitative analyses utilizing Microsoft Excel ...

Collect and assist in the analysis of qualitative/quantitative data reports extracted from various systems. * Incorporate results of statistical and qualitative analyses utilizing Microsoft Excel ...

Analyst, Growth

Geneseo, NY ยท On-site

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... Prepare executive-ready materials, dashboards, and reports to communicate insights * Assist in ...

Analyze claims and cost savings data to drive insights for reporting and product improvement ... Evaluate potential partnerships and new business opportunities * Assist in the preparation of ...

Analyst, Growth

Rochester, NY ยท On-site

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... Prepare executive-ready materials, dashboards, and reports to communicate insights * Assist in ...

Analyze claims and cost savings data to drive insights for reporting and product improvement ... Evaluate potential partnerships and new business opportunities * Assist in the preparation of ...

next page

Showing results 1-20

Assistant Data Analyst information

See Rochester, NY salary details

$27.6K

$70.7K

$135.2K

How much do assistant data analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for assistant data analyst in Rochester, NY is $70,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,300.00 and $82,400.00 per year, depending on experience, location, and employer.

What is the difference between Assistant Data Analyst vs Data Analyst?

AspectAssistant Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, basic knowledge of data toolsBachelor's or higher, proficiency in data analysis software
Work EnvironmentSupportive team, entry-level tasks, supervised rolesIndependent analysis, project ownership, more complex tasks
Employer & Industry UsageEntry-level roles across industries like finance, healthcare, marketingMid-level roles, often with more responsibility and specialization

The main difference between an Assistant Data Analyst and a Data Analyst lies in experience and responsibility. Assistant Data Analysts typically handle basic data tasks under supervision, while Data Analysts perform more complex analysis independently. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and technical skills.

What does an Assistant Data Analyst do?

An Assistant Data Analyst supports data collection, cleaning, and analysis tasks to help organizations make informed decisions. They work under the guidance of senior analysts to prepare reports, visualize data trends, and ensure the accuracy of data sets. Their responsibilities may include using tools like Excel, SQL, or Python to process data, as well as communicating findings to different departments. Assistant Data Analysts play a crucial role in ensuring that data-driven projects run smoothly and efficiently.

What are some common challenges an Assistant Data Analyst might face when starting in this role?

Assistant Data Analysts often encounter challenges related to handling large datasets, learning new analytical tools, and ensuring data accuracy. Adjusting to the fast-paced environment where priorities can shift quickly is also common, as is collaborating with various departments to gather relevant data. Over time, gaining familiarity with organizational data sources and building strong communication with senior analysts helps overcome these initial hurdles.

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

To thrive as an Assistant Data Analyst, you need a solid understanding of statistics, data interpretation, and proficiency in data management, usually backed by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and valuable insights that support informed business decisions.
What are the most commonly searched types of Data Analyst jobs in Rochester, NY? The most popular types of Data Analyst jobs in Rochester, NY are:
What job categories do people searching Assistant Data Analyst jobs in Rochester, NY look for? The top searched job categories for Assistant Data Analyst jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Assistant Data Analyst jobs? Cities near Rochester, NY with the most Assistant Data Analyst job openings:
Infographic showing various Assistant Data Analyst job openings in Rochester, NY as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $70,717 per year, or $34 per hour.
AI Data Architect

AI Data Architect

Innovative Solutions

Rochester, NY โ€ข Remote

$150K - $200K/yr

Full-time

Re-posted 7 days ago


Job description

As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS โ€” 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.


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 โ€” 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
ย 

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 โ€” Aurora PostgreSQL, RDS PostgreSQL, DocumentDB, DynamoDB โ€” including schema design and query optimization
  • Data modeling โ€” 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
ย 

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 candidateโ€™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.