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Entry Level Data Analyst Jobs in Rochester, NY (NOW HIRING)

Pwc

Partnership Tax Senior Associate - SALT

Rochester, NY · On-site

$55K - $187K/yr

In this role, you will review and analyze complex tax data and support internal projects that help ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

General Motors

Manufacturing Quality Engineer

Rochester, NY · On-site

$80K - $109K/yr

Provide statistical analysis of manufacturing process data * Critical role in change management to ... PDCA) * Entry-level understanding and proficiency in 3D CAD environments (Solidworks) What Will ...

General Motors

Quality Engineer

Rochester, NY

$69K - $107K/yr

Provide statistical analysis of manufacturing process data * Critical role in change management to ... PDCA) * Entry-level understanding and proficiency in 3D CAD environments (Solidworks) What Will ...

General Motors

Quality Engineer

Rochester, NY · On-site

$69K - $107K/yr

Provide statistical analysis of manufacturing process data * Critical role in change management to ... PDCA) * Entry-level understanding and proficiency in 3D CAD environments (Solidworks) What Will ...

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Entry Level Data Analyst information

See Rochester, NY salary details

$13

$32

$60

How much do entry level data analyst jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for entry level data analyst in Rochester, NY is $32.49, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $36.30 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

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, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

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

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
More about Entry Level 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 are popular job titles related to Entry Level Data Analyst jobs in Rochester, NY? For Entry Level Data Analyst jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst jobs in Rochester, NY look for? The top searched job categories for Entry Level Data Analyst jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Entry Level Data Analyst jobs? Cities near Rochester, NY with the most Entry Level Data Analyst job openings:
Entry Level Data Analyst jobs near you
Infographic showing various Entry Level 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 $67,574 per year, or $32.5 per hour.
Research Specialist I

Research Specialist I

University of Rochester

Rochester, NY

$48K - $67K/yr

Full-time

Posted 19 days ago

University Of Rochester rating

8.4

Company rating: 8.4 out of 10

Based on 183 frontline employees who took The Breakroom Quiz

80th of 553 rated colleges and universities

Job description

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.

Job Location (Full Address):

601 Elmwood Ave, Rochester, New York, United States of America, 14642

Opening:

Worker Subtype:

Regular

Time Type:

Full time

Scheduled Weekly Hours:

40

Department:

400832 Neurology/CTN Glial Disease

Work Shift:

Range:

UR URG 107

Compensation Range:

$48,400.00 - $67,800.00

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Responsibilities:

Provides direct research support at the professional entry level in a Neuroscience laboratory. Is responsible for routine ang non-routine tasks including mouse colony management and research assignments. Is responsible for conducting and analyzing a set of experiments that comprise a coherent part of a larger project; and researching and resolving technical problems within the scope of those experiments.

Responsibilities:

  • Works independently with only occasional suggestions in modifying, varying or adapting standard laboratory procedures in a variety of moderately-complex rodent surgery, microscopy including time- lapse imaging, histological procedures, laboratory tests, analyses and observations which may require nonstandard procedures and complex instrumentation. Troubleshoots malfunctioning equipment and makes simple repairs
  • Works in tandem with lab associates in handling multiple transgenic and mutant animal colonies, maintaining databases of mouse colony mating and lineages. Verifies colony census and maintains records of DLAM procedures. Corresponds regularly with the animal resource department and lab on animal colony matters.
  • Analyzes histological material with computer-aided microscopy. Performs analyses and scientific data reductions by using standard methods and develops modifications of standard methods to meet special situations.
  • Teaches laboratory techniques and instrumentation procedures to students and laboratory technical support staff; and counsels them on technical problems.
  • Routinely (at least once per month) prepares progress reports on personal projects within the larger group. Searches for literature for reference to technical problems involved in research projects, prepares charts, graphs and tables; and assists in preparation of materials for publication.
  • Orders supplies for lab procedures and maintains histological and related laboratory equipment.

Required:

  • Bachelor's degree in biological discipline or related field.
  • One year of applicable experience in laboratory setting.
  • Or equivalent combination of education and experience.
  • Applicants should be self-motivated and capable of working independently as well as in a collaborative setting.
  • Strong interpersonal and communication skills, including written communication.
  • Ability to readily learn new experimental techniques.
  • Strong analytical, communication, organizational and computer skills.

The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status,or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.

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