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Entry Level Data & Analytics Jobs (NOW HIRING)

... entry-level technical assistance on various environmental issues. * Work on multiple projects ... Experience with laboratory analytical data packages and electronic data reports * Experience using ...

... entry-level technical assistance on various environmental issues. * Work on multiple projects ... Experience with laboratory analytical data packages and electronic data reports * Experience using ...

Entry Level Data Scientiest

Manchester, NH ยท On-site

$16.25 - $21.75/hr

Analyze large amounts of information to identify client trends and patterns * Classifier, Random ... Good knowledge on Exploratory Data Analysis (EDA) * Hands on experience on platforms - Microsoft ...

Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...

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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 20, 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.
More about Entry Level Data Analytics jobs
What cities are hiring for Entry Level Data & Analytics jobs? Cities with the most Entry Level Data & Analytics job openings:
What are the most commonly searched types of Data & Analytics jobs? The most popular types of Data & Analytics jobs are:
What states have the most Entry Level Data & Analytics jobs? States with the most job openings for Entry Level Data & Analytics jobs include:
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.
Jr. Healthcare Data Analyst

Jr. Healthcare Data Analyst

The ACI Group, Inc.

Easton, MD โ€ข Remote

Full-time

Re-posted 29 days ago


Job description

Jr. Healthcare Data Analyst

  • Remote
  • Long-term Contract
  • Due to government client requrirements, must be a US Citizen (living in the US the past 3 years) and able to obtain a Federal Public Trust Background Check in addition to passing a Federal Drug Screen.

Description

We are seeking an entry level Data Analyst to join our client's team supporting various CMS data projects.

Responsibilities

  • Trend data to identify potential opportunities (e.g., variances, significant outliers, percentile ranked groups) for quality improvement or focused investigations.
  • Aid in design data analysis strategies to identify potential areas for quality improvement or focused investigation.
  • Analyze data, draw conclusions, and summarize into quality indicator values
  • Develop tabular and graphical presentations of data, which clearly and concisely illustrate current levels of care.
  • Populate tabular and graphical presentation of data.
  • Contribute to the development of interventions (i.e., develop educational materials for doctors and nurses) which will improve healthcare processes and outcomes.
  • Facilitate design re-measurement strategies (after intervention) of healthcare processes and outcomes to effectively quantify impact of interventions for improvement.
  • Analyze re-measurement data and summarize into quality indicator values.
  • Support development of reports concerning all of the above.
  • May mentor junior Data Analysts in technical aspects of their work.
  • Assist in preparing findings for publishing in peer reviewed journals.

Requirements

  • Bachelor's degree (BA or BS) in Statistics, Biostatistics, Epidemiology, Public Health or related discipline (e.g., Economics, Mathematics, Engineering, Computer Science) required. Master's Degree preferred.
  • Minimum of 2 years of hands-on SAS or other statistical programming work experience, or demonstrated combination of education and experience.
  • 6 months experience with health related analytic research and quality improvement methodology (ISO, CQI, TQM, Six Sigma, Lean, Etc.) preferred.

What will set you apart

  • Python experience.
  • Experience working with Medicare or Medicaid data (Medicaid a huge plus).


Since 1988, The ACI Group, a Baltimore-based staffing firm, has been committed to hiring the industry's leading professionals, and presenting exciting career opportunities. We have access to varied types of contract, permanent and contract-to-perm positions and offer a choice of employment options including a full benefits package.