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

SQL Data Analyst Endeavor Streaming, part of Endeavor, is building the worlds most advanced content distribution platform for Content Creators, Global Brands, TV Broadcasters and Sports Federations.

Summary of This Role Conducts requirement analysis to establish user needs and appropriate business intelligence (BI) provision. Designs, develops and maintains data warehouse architecture for BI ...

Mindlance is seeking a contract engineer or data analyst to complete the implementation of the coating thin film data analysis solution. The role involves executing technical tasks, analyzing data ...

JOB TITLE: Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION ... Likewise, if you are limited in the ability to access or use this online application process and ...

Analytics and Data) to collaboratively work on predictive modeling opportunities as well as utilize tools/data developed by other analytic units for deeper analysis of claims and other data.

Analytics and Data) to collaboratively work on predictive modeling opportunities as well as utilize tools/data developed by other analytic units for deeper analysis of claims and other data.

Data Entry Analyst

Rochester, NY · On-site

$16 - $20/hr

Analyze equipment records, as-built plans, GIS, and other data across various software platforms/databases/work management systems * Verify and review data for accuracy, completeness, and consistency ...

Data Entry Analyst

Rochester, NY · On-site

$16 - $20/hr

Analyze equipment records, as-built plans, GIS, and other data across various software platforms/databases/work management systems * Verify and review data for accuracy, completeness, and consistency ...

Analyze equipment records, as-built plans, GIS, and other data across various software platforms/databases/work management systems * Verify and review data for accuracy, completeness, and consistency ...

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Online Data Analyst information

See Rochester, NY salary details

$33.6K

$81.6K

$134.2K

How much do online data analyst jobs pay per year?

As of Aug 1, 2026, the average yearly pay for online 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.

Can I work online as a data analyst?

Yes, online data analyst roles are common and involve analyzing data sets, creating reports, and using tools like Excel, SQL, or Python. These positions often require strong analytical skills and may offer flexible schedules, making remote work a viable option for qualified candidates.

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

To thrive as an Online Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with tools such as SQL, Excel, Python, and data visualization platforms like Tableau is commonly required, along with certifications in analytics or data science. Attention to detail, problem-solving ability, and effective communication are vital soft skills for translating data insights to stakeholders. These skills ensure accurate data-driven decision-making and effective communication of trends and recommendations to support business goals.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, making strategic recommendations, and understanding business context, which AI cannot fully replicate. Data analysts will continue to be essential for designing analyses, validating results, and providing insights that require human judgment and domain expertise.

What are some common challenges faced by Online Data Analysts, and how can they be addressed?

Online Data Analysts often encounter challenges such as managing large and complex datasets, ensuring data accuracy, and meeting tight deadlines for reporting. Addressing these requires strong attention to detail, proficiency with analytical tools (like SQL, Python, or Excel), and effective time management skills. Collaborating closely with data engineers and stakeholders also helps clarify requirements and ensures the analysis aligns with business objectives. Regular training and staying updated with the latest data analysis techniques can further help overcome these challenges.

What are online data analysts?

Online data analysts are professionals who collect, process, and interpret data from digital sources to help organizations make informed decisions. They use various analytical tools and techniques to identify patterns, trends, and insights from large datasets. Their work often involves cleaning and organizing data, creating reports, and presenting findings to stakeholders. Online data analysts play a crucial role in improving business strategies, marketing efforts, and operational efficiency.

Is 40 too late for data science?

For an online data analyst role, age is generally not a barrier; many professionals transition into data science or related fields later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or SQL, regardless of age. Continuous learning and building a strong portfolio can help late entrants establish themselves in the field.

What is the difference between Online Data Analyst vs Data Scientist?

AspectOnline Data AnalystData Scientist
Required CredentialsBachelor's degree in data analysis, statistics, or related field; proficiency in Excel, SQL, and data visualization toolsBachelor's or master's degree in computer science, statistics, or related; knowledge of programming languages like Python or R
Work EnvironmentRemote or office-based; primarily focused on data reporting and analysisOften in research or tech companies; involved in complex data modeling and predictive analytics
Employer & Industry UsageBusiness, marketing, e-commerce, and retail sectorsTechnology, finance, healthcare, and research sectors

Online Data Analysts focus on interpreting data, creating reports, and supporting decision-making with existing data sets. Data Scientists build models, develop algorithms, and perform advanced analytics. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise and handle more complex data projects.

How to become an online data analyst?

To become an online data analyst, you typically need a bachelor's degree in fields like statistics, mathematics, or computer science. Developing skills in data analysis tools such as Excel, SQL, and programming languages like Python or R, along with understanding data visualization, is essential. Gaining relevant certifications and experience through projects or internships can also improve job prospects.
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 Online Data Analyst jobs in Rochester, NY look for? The top searched job categories for Online Data Analyst jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Online Data Analyst jobs? Cities near Rochester, NY with the most Online Data Analyst job openings:
Infographic showing various Online Data Analyst job openings in Rochester, NY as of July 2026, with employment types broken down into 86% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $81,575 per year, or $39.2 per hour.

Full-time

This job post has expired today. 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.