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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.

Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION: Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long history of ...

Data Operations Analyst

Rochester, NY · On-site

$47K - $74K/yr

Description SUMMARY The Data Operations Analyst is responsible for interfacing with various departments, including Account Service, Channel Activation, Product, Operations, and Creative/Production ...

Data Strategy-Manager

Rochester, NY · On-site

$99K - $232K/yr

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 ...

Data Governance- Manager

Rochester, NY · On-site

$99K - $232K/yr

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 ...

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 Aug 17, 2026, the average yearly pay for data analyst in Rochester, NY is $81,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. 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 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 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 $81,560 per year, or $39.2 per hour.

Full-time

Re-posted 7 days ago


Job description

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.

Role:

  • SQL / Data warehouse (Redshift) / AWS experience required for this.

Opportunity:

You will assist in the management and growth of a large-scale data solution enabling TV everywhere with a worldwide leader specializing in digital video broadcasting, distribution, and monetization. You will build and manage solutions and processes that will grow and solve critical business needs. You will learn and implement new business processes and automate them with today's and tomorrow's technologies. You will be exposed to many exciting projects that will broaden your industry experience and continuously enhance your skills with new challenges.

Responsibilities:

  • Analyze and interpret complex data, patterns and processes
  • Provide analysis, reports, dashboards, and insight of data supporting existing and new initiatives.
  • Work with a team to define and implement solutions allowing the visibility of data and insight for use at the business level
  • Manage, maintain, and report on the daily results of daily data jobs and processes both internally and externally
  • Provide Root Cause Analysis and related documentation and communications of data issues and the data solutions we provide.
  • Work with external clients and internal finance department on the delivery of data and reports.

Skills:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Quantitively-oriented degree, or a related field
  • 3+ years as a data analyst or similar role.
  • Must have a high degree of initiative and strong analytical skills
  • Must have advanced skills in report development, SQL queries, views, functions, and stored procedures.
  • Must have experience with relational databases, data lakes, data warehouses such as Redshift, and ETL/ELT data pipelines
  • Proficiency with SQL and relational database concepts
  • Must have experience working with AWS related technologies
  • Must have experience working with an off-the-shelf Business Intelligence Dashboard product.
  • Experience in meeting directly with business managers and their teams without direct support from their manager