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Data Analyst Jobs in Rochester, NY (NOW HIRING)

Job Summary Data Analyst 1 is an entry-level, developmental role designed to build foundational data analytics and visualization skills in preparation for progression to a Data Analyst 2 role. The ...

Job Summary Data Analyst 1 is an entry-level, developmental role designed to build foundational data analytics and visualization skills in preparation for progression to a Data Analyst 2 role. The ...

Strong analytical reasoning, data storytelling, and attention to data quality are essential. This role provides mentorship to junior analysts. Knowledge, Skills and Abilities: Required: * Bachelor ...

Strong analytical reasoning, data storytelling, and attention to data quality are essential. This role provides mentorship to junior analysts. Responsibilities * Collect, cleanse, transform, and ...

Data Analyst 2 (OSIM)

Rochester, NY · On-site +1

$86K - $109K/yr

Duties Description Under the direction of the Data Analyst 3 in the Office of Strategic Information Management (OSIM), the Data Analyst 2 will provide cross-unit support of the data management and ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

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Data Analyst information

See Rochester, NY salary details

$33.6K

$81.6K

$134.2K

How much do data analyst jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data analyst in Rochester, NY is $81,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,800.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
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 are popular job titles related to Data Analyst jobs in Rochester, NY? For Data Analyst jobs in Rochester, NY, the most frequently searched job titles are:
What cities near Rochester, NY are hiring for Data Analyst jobs? Cities near Rochester, NY with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Rochester, NY as of July 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $81,575 per year, or $39.2 per hour.
Data Analyst

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Summary:
  • As part of the IT Data Operations Team, the Data Analyst serves as a subject matter expert for understanding Health Care Data, and how to accurately process the data to create valuable business information.
  • This role also works closely with database developers and database administrators in the design, development and management of Cognisight data processing, and analytic solutions.

Job Responsibilities:
  • Data Exchange Management:
  • Work closely with external information trading partners by establishing data format standards and processes to accurately send and receive relevant Health Care data.
  • This includes managing extract, transform and load (ETL) processes.

Data Process Definition:
  • Lead efforts to standardize, improve, and implement enterprise data processes, for example data cleansing/validation initiatives, error-handling, applying naming convention and database development standards and code optimization utilizing data quality management standards.

Development:
  • Design queries and reports in available tool sets (i.e. Transact SQL, SSRS) to evaluate the various data sources and make derived knowledge available for internal and external customers.
  • These deliverables should conform to industry standards, be as automated as possible, and reusable if necessary.
  • The development of these systems will be done with input and feedback from all internal stakeholders.
  • Testing/QA: Apply best practices and industry standards, with respect to testing and quality assurance procedures to ensure a proactive approach to Cognisight's data and system integrity.
  • Production Issue Management: Responsible for identifying resolutions to issues that occur as data are loaded into the enterprise databases or as customers discover them.
  • The senior data analyst will investigate the issue, determine options to resolve, analyze the effect of each option globally and choose the most effective solution.
  • Customer Support: Manage customer data/information requests by monitoring online request queue and performing or assigning work tasks as needed.
  • Data Stewardship: Maintain accuracy and freshness of key reference data in all pertinent data systems. This includes provider data, clinical measures, and condition profiles.

Experience:
  • Bachelor's degree required (preferably in a related field).
  • Additional related college courses or professional training and certification are strongly desired
  • Minimum of 6 years in a professional/office environment
  • Minimum of 5 years of demonstrated expertise with large-scale database systems Healthcare data experience including claims or clinical data a plus
  • Additional experience with one ore more data profiling, data warehousing, reporting or business intelligence systems including reporting systems is strongly desired.
  • Report development experience in MS Reporting Services a plus.