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Entry Level Data & Analytics Jobs in Baltimore, MD

Business Data Analyst (Junior)

Baltimore, MD · On-site

$26.25 - $35.25/hr

This role is ideal for entry level candidates or individuals starting their career in business analysis. Responsibilities · Collect, clean, and analyse business data from multiple sources. · Assist ...

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 ...

Job Title: Entry Level Financial Analyst The Securities Analyst II role sits within the Securities ... You will perform detailed data entry, accounting, and analysis of pooled loan data from multiple ...

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Entry Level Data Analytics information

See Baltimore, MD salary details

$32.8K

$81K

$139.1K

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

As of Jul 16, 2026, the average yearly pay for entry level data & analytics in Baltimore, MD is $81,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $95,900.00 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.
What are the most commonly searched types of Data & Analytics jobs in Baltimore, MD? The most popular types of Data & Analytics jobs in Baltimore, MD are:
What are popular job titles related to Entry Level Data & Analytics jobs in Baltimore, MD? For Entry Level Data & Analytics jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Entry Level Data & Analytics jobs in Baltimore, MD look for? The top searched job categories for Entry Level Data & Analytics jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Entry Level Data & Analytics jobs? Cities near Baltimore, MD with the most Entry Level Data & Analytics job openings:
Infographic showing various Entry Level Data & Analytics job openings in Baltimore, MD as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $81,000 per year, or $38.9 per hour.
Anesthesiology Faculty - Data Science Research

Anesthesiology Faculty - Data Science Research

University of Maryland, Baltimore

Baltimore, MD • On-site

$69K - $164K/yr

Full-time

Medical, PTO

Re-posted 9 days ago


University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

228th of 555 rated colleges and universities


Job description

Job Description
We are seeking an entry-level data scientist, junior faculty to join our clinical data research lab. The ideal candidate will have a strong foundation in statistics, machine learning, and data programming. This position is expected to work in two separate locations, in the STAR-ORC lab located at the UMB campus and at the new University of Maryland-Institute for Health Computing, which is a major computational research hub in North Bethesda that uses next-generation computational analytics to improve health and human disease. The position will be responsible for developing and implementing data analysis pipelines to support a variety of clinical research projects, as well as mathematical modeling to improve predictions and analytic capabilities that merge different kinds of data assets (i.e., clinical, biological, environmental).
Job Duties:
l Lead the data analysis in clinical and laboratory research projects. Join team meetings and provide suggestions in research methodologies and plannings.
l Develop grants applications.
l Develop and maintain data analysis pipelines, including data extraction, cleaning, transformation, quality assurance, pipeline monitoring and maintenance.
l Apply statistical and machine learning methods to support meaningful data analyses.
l Create high-quality and informative graphs and write corresponding manuscript sections to describe the methodology and results in detail for scientific publications.
l Work with other members of the team to design and conduct clinical research studies.
l Collaborate with clinicians and scientists to translate research findings into clinical practice.
l Apply next-generation computational approaches to clinical, biological, and environmental big data assets.
l Integrate high-level mathematics to predict events that are important in health outcomes, including treatment response, hospitalizations, and other end-points.
l Promote analytics that consider bias and improve health equity.
Required Qualifications:
l Strong programming skills in Python, R, or another statistical programming languages.
l Experience with statistical methods (such as descriptive statistics, hypothesis testing, time series analysis, etc.) and machine learning methods (data cleaning, feature engineering, hyperparameter tuning, model evaluation and interpretation).
l Scientific literature search and review skills.
l Excellent analytical and problem-solving skills. Be able to work independently and collaboratively.
l Good communication (written and oral) and interpersonal skills.
l Experience as a good team member or team leader.
Preferred Qualifications:
l Experience with clinical data and clinical research methods.
l Experience with statistical and machine learning libraries and tools, such as Scikit-learn, pandas.
l Experience as a good team member or team leader, autonomy in the health care system clinical analytics field, and pursuing health equity.
l A significant publication record in clinical/health care analytics or healthcare.
l A track record of applications for grant funding in clinical/health care analytics.
l Experience with deep learning and its framework (e.g. Pytorch) is a plus.
Required Education and Experience:
l Doctoral degree in statistics, computer science, data science, or a related field.
l A faculty member at an academic medical center (or equivalent) in good standing at the level of assistant professor or above (rising assistant professors also considered).
l 0-2 years of experience in a data science role.
UMB is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy. If you need a reasonable accommodation for a disability for any part of the employment process, please submit an online or contact . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
Qualifications
Please reference this recruitment advertisement and position number in your cover letter. Interested candidates should use this online portal to submit their cover letter, CV and contact information for three references.
Qualified applicants must have a doctoral degree, professional experience consistent with the faculty rank of Assistant Professor or higher and a track record of independent research funding from diverse sources.
Salary Range - Base Compensation [Research Faculty w/ PhD Degree]
Expected Salary Range: $69,336 to $164,684.
*The referenced salary range reflects base pay, which is based on faculty rank and years in rank. This salary range does not include all components of the Department of Anesthesiology faculty compensation program or pay from participation in Department of Anesthesiology incentive compensation programs. Therefore, the actual compensation paid to the selected candidate may vary from the salary range stated herein. For more information, please contact the hiring department.
The referenced salary range represents the minimum and maximum salaries for this position and is based on the University of Maryland School of Medicine's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.
UMB offers a comprehensive that prioritizes wellness, work/life balance, and professional development. This position participates in a retirement program that must be selected and is effective on your date of hire. Faculty receive a generous leave package that includes over 4 weeks of vacation accrued each year, paid holidays, personal leave, unlimited accrual of sick time, and comprehensive health insurance; professional learning and development programs; tuition remission for employees and their dependents at any University System of Maryland school.
Qualifications
Please reference this recruitment advertisement and position number in your cover letter. Interested candidates should use this online portal to submit their cover letter, CV and contact information for three references.
Qualified applicants must have a doctoral degree, professional experience consistent with the faculty rank of Assistant Professor or higher. Expected rank for this position will be Assistant Professor or higher, however, final rank and tenure status will be commensurate with selected candidate's experience

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