1

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

Job Summary Data Analyst 1 is an entry-level, developmental role designed to build foundational ... The role works under the guidance of senior analysts and follows established metrics and reporting ...

Senior Data Engineer

Rochester, NY · Remote

$104K - $142K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of enterprise data into the firm's finance applications, as well as creating validation reports ...

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.

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 ...

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 ...

next page

Showing results 1-20

Senior Data Analyst information

See Rochester, NY salary details

$54.3K

$97.9K

$133.7K

How much do senior data analyst jobs pay per year?

As of Jul 16, 2026, the average yearly pay for senior data analyst in Rochester, NY is $97,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,900.00 and $107,100.00 per year, depending on experience, location, and employer.

What are Senior Data Analysts?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What Does a Senior Data Analyst Do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

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

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges Senior Data Analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

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

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

Is 40 too late for data science?

For a senior data analyst role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on relevant skills such as programming, statistical knowledge, and experience with tools like Python or SQL, regardless of age. Continuous learning and certifications can also enhance prospects in the field.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets to support business decisions, often requiring proficiency in tools like SQL, Python, or R. It offers competitive salaries, opportunities for advancement, and the chance to work in various industries such as finance, healthcare, or technology.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but senior data analysts play a crucial role in interpreting complex data, developing insights, and making strategic decisions. Their expertise in understanding context, storytelling with data, and applying domain knowledge remains essential despite advancements in automation and machine learning. Therefore, AI is more likely to augment rather than fully replace senior data analysts.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $120,000 to $150,000 annually, depending on factors such as location, industry, experience, and company size. In some cases, with advanced skills in SQL, Python, or data visualization tools, and certifications, top earners may exceed this range.
More about Senior Data Analyst jobs
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 Senior Data Analyst jobs? Cities near Rochester, NY with the most Senior Data Analyst job openings:
Infographic showing various Senior Data Analyst job openings in Rochester, NY as of July 2026, with employment types broken down into 86% Full Time, 2% Temporary, and 12% Contract. Highlights an 74% In-person, 10% Hybrid, and 16% Remote job distribution, with an average salary of $97,934 per year, or $47.1 per hour.
Senior Data Analyst

$84K - $107K/yr

Full-time

Re-posted 10 days ago


Job description

Position: Senior Data Analyst (Information Services Analyst II)
Location: Rochester, NY
Duration: 6+ Months
This Senior Data Analyst position (Information Services Analyst II) is in the Department of Information Technology and is responsible for helping to advance the use of data to support current and future initiatives. This position ensures a deep understanding of business processes of new data capabilities. This role will work closely with other business leaders to analyze business processes and data requirements for data modeling and data transformation. This position will develop Database and Warehousing Designs across multiple platforms and computing environments and as well as overall Data Architecture.
Coordinate and lead meetings with business leaders to discuss data needs and challenges, elicit requirements, and set the vision and direction for the use of data to support both business areas and strategic data plan.
This is an exciting time to join the City of Rochester IT Department as a Sr. Data Analyst (Information Services Analyst II).
The position will assist in designing, modeling, developing, and supporting Data Management for over 250 applications (including video). The successful candidate can enjoy working in collaboration with a skilled, dedicated and convivial team.
We offer an excellent benefits package, and understand the importance of work life balance.
Preferred Qualifications:
  • Strong knowledge of business process, data or information management, data flows, data relationships, data quality standards, processes and proficiency with data analytical and quality tools.
  • Apply knowledge of IT systems generally and analytic tools specifically, including Excel, SQL, SSIS, SSAS, SSRS, and Power BI.
  • Knowledge of program management concepts, project management and implementation techniques, process reengineering, and change management.
  • Understanding of the importance and benefits of good data quality, and the ability to champion results across functions.
  • Excellent facilitation skills including the ability to gain cross-departmental consensus.
  • Excellent team building skills in working with all levels of the organization, develop and communicate standards and procedures and direct problem resolution.
  • Demonstrated analytical, problem solving and research skills that facilitate working on problems that are complex and often unique.
  • Initiative and ability to use technical knowledge to identify and address key issues, and determine resolution strategies aligned to business needs.
  • Excellent verbal, written and presentation skills, with the ability to understand and translate abstract concepts and ideas, and communicate in both a business and technical context to non-technical audiences at all levels of the organization.
  • Ability to work independently with minimal guidance, as well as collaboratively in a team environment.

Minimum qualifications:
1.Bachelor's degree in Computer Science or closely related field AND two (2) years' experience in software, database, and data warehouse design development and maintenance.
OR
1.Bachelor's degree AND three (3) years' experience as described in I above.