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Entry Level 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 ...

Data Entry and Word Processing

Rochester, NY · On-site

$16.75 - $22.50/hr

Key Responsibilities: * Entry level data entry skills. * Entry level word processing skills ... Data Analytics and AI. ISO-certified and CMMI Level 3 appraised, we proudly partner with 70 ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

Entry-Level Investigator

Rochester, NY

$45K - $56K/yr

At the forefront of, we provide accurate data and actionable insights that translate into better ... Conduct preliminary investigations using social media and analyzing database research. * Field ...

... • Data entry skills • Warehouse experience Experience Level Entry Level Job Type & Location This is a Contract position based out of Irondequoit, NY. Pay and Benefits The pay range for this ...

... • Data entry skills • Warehouse experience Experience Level Entry Level Job Type & Location This is a Contract position based out of Irondequoit, NY. Pay and Benefits The pay range for this ...

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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 8, 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.
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 Entry Level Data Analyst jobs? Cities near Rochester, NY with the most Entry Level Data Analyst job openings:
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.

Data Analyst 1

CooperCompanies

West Henrietta, NY • On-site

$28K/yr

Full-time

Posted 16 days ago


Job description


At CooperVision, a division of CooperCompanies, we're driven by a unifying purpose to help people to experience life's beautiful moments. We are connected through our shared values - dedicated, innovative, friendly, partners, and do the right thing. As a leading global manufacturer of contact lenses, we are committed to helping improve the way people see each day. Through our diverse lens portfolio, we tackle the toughest vision challenges - including astigmatism, presbyopia, and childhood myopia. We offer the most complete collection of spherical, toric, and multifocal products available, enabling us to fit 99% of all contact wearers. Learn more at www.coopervision.com.
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 position focuses primarily on data collection and visual design activities, with exposure to less complex data analysis and reporting. Visual design may include reworking graphs, applying dashboard templates, and other responsibilities as assigned. This role may also support data recalibrations on a six-month cadence (in Tableau or Excel). The role works under the guidance of senior analysts and follows established metrics and reporting standards to execute tasks. Clear communication, attention to detail, and willingness to learn are essential for success.
Responsibilities
Essential Functions & Accountabilities:
  • This role focuses on performing basic data analysis, preparing simple reports and visualizations, working on minor tickets (break/fixes, investigations, etc.), and providing support to senior analysts as needed.
  • Additional responsibilities include collecting, organizing, and validating distribution data to ensure accuracy, completeness, and alignment with established data quality standards and procedures, and visual design within Tableau Desktop, with the goal of enhancing data storytelling and supporting consistent reporting. Visual design includes rebuilding visuals for straightforward reports or developing templates that help senior analysts deliver standardized reporting.

Travel:
  • Occasional travel may be required (5-10%+ annually). This is an on-site position requiring daily in-office attendance Monday through Friday, and as needed.

Qualifications
Knowledge, Skills and Abilities:
Required:
  • Minimum of 2 years of relevant experience in data collection, data entry, reporting, or analytics support, or
  • Associate degree with 1 or more years of relevant experience, or
  • Bachelor's degree in a related field is preferred, including Data Analytics, Data Science, Computer Science, Mathematics, or Information Technology.
  • Relevant experience with data collection or data entry required.
  • Preferred experience in a warehouse setting or manufacturing.
  • Proficiency in Microsoft Excel, including data organization and basic analysis functions.
  • 0 to 1+ years of experience in SQL (writing simple queries, including joins, filtering, and aggregation).
  • Basic understanding of analytics (statistical analysis, pattern recognition, data interpretation, problem-solving).
  • Proficiency in Microsoft Office (Word, SharePoint, etc.)
  • Willingness to follow standardized departmental, project management, and IT processes.
  • Ability to work within a team environment.
  • Excellent verbal and written communication skills.

Preferred
  • 0 to 3+ years of experience in Tableau Desktop or PowerBI (or an equivalent data visualization tool).
  • Experience in Tableau Prep or Alteryx.
  • Experience writing scripts using Microsoft PowerShell.

Work Environment
  • On-site, 5 days a week
  • Relevant experience with data collection or data entry required.
  • Preferred experience in a warehouse setting or manufacturing.

For U.S. locations that require disclosure of compensation, the starting base pay for this role is between $28,307.00 and $77,743.00 per year and may include cost of living adjustments. The actual base pay includes many factors and is subject to change and modification in the future. This position may also be eligible for other types of compensation and benefits.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.