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Entry Level Data & Analytics Jobs (NOW HIRING)

SynergisticIT

Junior Data/BI Analyst

Carson City, NV · On-site

Entry-Level Data Analyst -- Start Your Career in Data With Practical Skills Data analyst roles are attractive because they sit at the intersection of business, technology, and decision-making. But ...

New

Apex Systems

Data Analyst

Birmingham, AL · On-site

Career growth opportunities within data analytics, business intelligence, data management, and reporting disciplines. Location: Birmingham, AL Schedule: Hybrid/Onsite Experience Level: Entry-Level (0 ...

New

TEKsystems

Entry Level Data Analyst

West Harrison, NY

$20 - $21/hr

Duties in the job include transferring data using Microsoft excel and sorting it with intermediate functions. * Candidates will require a degree of comfortability when it comes to math due to nature ...

GainAm

Entry Level Data Analyst job

Hicksville, NY · On-site

$70K/yr

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

Link Up Overseas

Data Entry Clerk / Part Time (Remote)

$17.50 - $23.25/hr

Exciting Opportunity - Remote Entry-Level Data Entry Clerk Are you a detail-oriented, organized ... analysis and contribute to actionable insights that drive business decisions. * Embrace new ...

Tresume and Asta CRS

Entry Level Data Analyst

Herndon, VA · On-site

$25 - $30/hr

Job Requirements -  Work on gathering requirement and document user stories, use cases, process flow diagrams, cross-functional diagrams, value stream maps as required by the business teams  ...

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Entry Level Data Analytics information

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$33K

$81.5K

$140K

How much do entry level data & analytics jobs pay per year?

As of Jul 19, 2026, the average yearly pay for entry level data & analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of an Entry Level Data & Analytics professional?

As an Entry Level Data & Analytics team member, your daily tasks often involve gathering, cleaning, and preparing datasets, conducting basic analyses, and creating data visualizations to help explain findings. You'll frequently collaborate with senior analysts or managers, supporting ongoing projects by generating reports or troubleshooting data issues. This role also requires you to communicate your insights to both technical and non-technical colleagues, so clear documentation and presentation skills are valuable. Over time, you'll gain exposure to more complex analytical work and opportunities to specialize as you grow in your career.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI can handle repetitive work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Entry level data analysts should develop skills in data visualization, programming, and AI tools to stay relevant in this evolving field.

What are the key skills and qualifications needed to thrive in the Entry Level Data & Analytics position, and why are they important?

To thrive as an Entry Level Data & Analytics professional, you need a basic understanding of statistics, data analysis, and data visualization, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with analytical tools such as Excel, SQL, Python, or Tableau, and any relevant certifications (like Google Data Analytics or Microsoft Excel certification) are often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate data insights into actionable recommendations for stakeholders. These competencies are crucial for ensuring accurate data interpretation and meaningful contributions to business decision-making.

Is 40 too late for data science?

Entry level data and analytics roles are accessible at any age, including at 40, especially with relevant skills like programming, statistics, and tools such as SQL or Python. Many professionals transition into data science later in their careers, and continuous learning or certifications can help improve job prospects regardless of age.

How can I get into data analytics with no experience?

Entry level data and analytics roles often require foundational skills in Excel, SQL, or data visualization tools like Tableau. Gaining relevant knowledge through online courses, certifications, or personal projects can help demonstrate your abilities to employers without prior work experience.

What is an Entry Level Data & Analytics job?

An Entry Level Data & Analytics job involves collecting, processing, and analyzing data to help organizations make informed decisions. Responsibilities may include cleaning datasets, creating reports, and using tools like Excel, SQL, or Python to extract insights. These roles often require strong analytical thinking, attention to detail, and proficiency in data visualization tools. Entry-level employees typically work under the guidance of senior analysts or data scientists to develop skills and gain industry experience.

Do entry-level data analyst jobs exist?

Yes, entry-level data analyst jobs are widely available and typically require basic skills in data analysis tools like Excel, SQL, or Python. These roles often focus on data collection, cleaning, and reporting, making them accessible to recent graduates or those transitioning into data careers.
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Entry Level Data Analytics jobs near you
Infographic showing various Entry Level Data & Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.
Data Analytics & GIS Internship (Part-Time)

Data Analytics & GIS Internship (Part-Time)

City of Westerville

Westerville, OH

$33K - $44K/yr

Part-time

Posted 20 days ago

Job description

Description This position is open until filled. Applications are being reviewed as they are received. The purpose of the Data Analytics & Geographic Information Systems (GIS) Internship program is to provide students of Data Analytics & GIS-related studies with professional Data Analytics & GIS experience in a public sector organization.

This internship position will support citywide Data Analytics & GIS from the Information Technology (IT) department. This program is intended to provide part-time employment in the Data Analytics & GIS field. Upon the student's graduation and completion of the Data Analytics & GIS internship, the student should have received adequate training and experience necessary for an entry-level Data Analytics & GIS job.

SUPERVISION This position does not have any supervisory responsibilities. ESSENTIAL FUNCTIONS OF WORK A qualified candidate must be able to do the following: Perform entry level Data Analytics & GIS work, including the creation and maintenance of GIS data within ArcGIS Pro and ArcGIS Online. Assist in data clean-up and data quality testing.

Assist in producing printed and virtual maps for stakeholders. Assist in troubleshooting stakeholders' issues and training. Assist with creating and updating project documents and instructions.

Perform other related tasks as assigned. Careful review and attention to detail is a must. Data analysis and reporting from a variety of sources.

Use data visualization software to present findings. MINIMUM REQUIREMENTS OF WORK The applicant must be currently enrolled in a relevant undergraduate, graduate, professional certificate program such as Geography, Computer Science, Data Science, Management Information Systems, Environmental Sciences, Political Sciences, Public Administration, or other related fields. Applicants must have prior hands-on experience in an academic or project setting with Data Analytics or GIS Applications.

Must have effective time management and demonstrated ability to meet project deadlines and goals with minimal supervision. The position will require occasional travel within the municipality for field data collection and meetings with departments.

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