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Apprentice Data Analyst Jobs in Baltimore, MD (NOW HIRING)

McKinsey & Company

Analyst - Finalta Insurance

Lisbon, MD · On-site

$22 - $30/hr

You will be liaising with our clients to gather data, conduct research and perform quantitative ... Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth ...

New

Chandler Macleod

Analyst - Finalta Insurance

Lisbon, MD · On-site

$22 - $30/hr

You will be liaising with our clients to gather data, conduct research and perform quantitative ... Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth ...

New

Jobs for Humanity

Financial Analyst

Baltimore, MD · On-site

$25 - $30/hr

... the accuracy and integrity of financial data across trading and finance systems. Job ... apprenticeship, and contract job assignments. We represent clients who support skills-first ...

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All JobsApprentice Data Analyst JobsApprentice Data Analyst Jobs in Baltimore, MD

Apprentice Data Analyst information

See Baltimore, MD salary details

$13

$32

$61

How much do apprentice data analyst jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for apprentice data analyst in Baltimore, MD is $32.72, according to ZipRecruiter salary data. Most workers in this role earn between $21.01 and $36.54 per hour, depending on experience, location, and employer.

What does a data analyst apprentice do?

A data analyst apprentice assists with collecting, cleaning, and analyzing data to support business decisions. They often learn to use tools like Excel, SQL, and data visualization software while gaining practical experience under supervision.

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

To thrive as an Apprentice Data Analyst, you need foundational skills in mathematics, data interpretation, and a basic understanding of statistics, often supported by coursework or relevant certifications. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically expected. Strong analytical thinking, attention to detail, and effective communication help you interpret findings and present insights clearly. These skills are crucial for transforming raw data into actionable information that supports business decision-making.

Is 30 too late for data science?

For an Apprentice Data Analyst, starting a career in data science at age 30 is feasible, as many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Excel or SQL, often through online courses or certifications. Age is less important than skill development and practical experience in entering data-related roles.

What are apprentice data analysts?

Apprentice data analysts are entry-level professionals who assist in collecting, processing, and analyzing data under the supervision of more experienced analysts. They typically work as part of a training program or apprenticeship to gain hands-on experience in data analysis, using tools like Excel, SQL, or Python. Their responsibilities may include preparing reports, visualizing data, and supporting business decision-making, all while learning essential data skills on the job.

Is 27 too old for an apprenticeship?

There is no age limit for becoming an apprentice data analyst, and many programs welcome mature candidates. Age should not be a barrier if you have the interest and skills, and some employers value diverse experiences that older apprentices bring. Focus on developing relevant skills like data analysis tools and certifications to enhance your prospects.

What are some common challenges faced by Apprentice Data Analysts during their first few months on the job?

Apprentice Data Analysts often face challenges such as getting familiar with new data tools and software, understanding the organization's specific data processes, and learning how to clean and interpret large datasets. Additionally, adapting to a fast-paced environment where priorities can shift quickly can be challenging. Close collaboration with senior analysts and proactively seeking feedback are essential for overcoming these hurdles and building confidence in your analytical skills.

What is the difference between Apprentice Data Analyst vs Junior Data Analyst?

AspectApprentice Data AnalystJunior Data Analyst
Required CredentialsBasic knowledge, often in training or courseworkSome experience or entry-level certifications
Work EnvironmentTraining programs, supervised settingsEntry-level roles in teams, more independent tasks
Employer & Industry UsageInternships, apprenticeships, entry-level programsFull-time entry-level positions in various industries
Comparison Search IntentLearning about entry-level or training rolesSeeking job opportunities or role clarification

The main difference between an Apprentice Data Analyst and a Junior Data Analyst lies in experience and training. Apprentices are typically in training programs or internships, gaining foundational skills under supervision. Junior Data Analysts are usually more experienced, performing entry-level tasks independently. Both roles serve as stepping stones into the data analysis field, but apprentices focus on learning, while juniors focus on applying skills in real-world projects.

Can I start data analyst with no experience?

Starting as a data analyst typically requires some knowledge of data analysis tools like Excel, SQL, or Python, but many entry-level positions are open to candidates with no prior experience if they demonstrate strong analytical skills and a willingness to learn. Internships, online courses, and certifications can help build relevant skills and improve job prospects for beginners.
What are the most commonly searched types of Data Analyst jobs in Baltimore, MD? The most popular types of Data Analyst jobs in Baltimore, MD are:
What are popular job titles related to Apprentice Data Analyst jobs in Baltimore, MD? For Apprentice Data Analyst jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Apprentice Data Analyst jobs in Baltimore, MD look for? The top searched job categories for Apprentice Data Analyst jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Apprentice Data Analyst jobs? Cities near Baltimore, MD with the most Apprentice Data Analyst job openings:
Apprentice Data Analyst jobs near you
Infographic showing various Apprentice Data Analyst job openings in Baltimore, MD as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $68,052 per year, or $32.7 per hour.
Applied Data Scientist Internship (DoW SkillBridge)

Applied Data Scientist Internship (DoW SkillBridge)

IntelliGenesis

Columbia, MD • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 28 days ago

Job description

Applied Data Scientist Internship (DoW SkillBridge)
The DoW SkillBridge Program is an opportunity for service members too gain valuable civilian work experience through specific industry training, apprenticeships or internships during the last 180 days of military service. DoW SkillBridge connects transitioning service members with industry partners in real-world job experiences. Service members participating in DoW SkillBridge programs continue receiving their military compensation and benefits, while industry partners provide the civilian training and work experience. More information can be found here: https://skillbridge.osd.mil/index.htm
 

Eligibility Requirements:

  • Meet all DoW SkillBridge qualifications set forth in DODI 1322.29
  • Served at least 180 days on active duty
  • Within 180 days of separation or retirement
  • Will receive an honorable discharge
  • Has taken any service TAPS/TGPS
  • Has attended or participated in an ethics brief within the last 12 months
  • Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in DoD SkillBridge Program prior to start of internship

Duration:

  • 90-180 days

Requirements:

  • Must be a U.S. Citizen
  • Active TS/SCI clearance with polygraph required
  • Must be able to report daily to Columbia, MD office
  • Minimum of six (6) years of experience performing data-analysis on collected information to pinpoint unique insight and intelligence opportunities within the data
  • Experience within at least two (2) of the following skill areas: 
    • Mathematics/Statistics
    • Computer Science
    • Scripting
    • Cloud Computing
    • Data Mining, Metadata Analysis or Machine Learning
    • Artificial Intelligence
    • Data Visualization or Data Automation. 
    • Data science
    • Advanced analytical algorithms
    • Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models)
    • Data management (e.g., data cleaning and transformation)
    • Data modeling and assessment
    • Artificial intelligence
    • Software engineering
  • Experience constructing and performing complex database search queries 
  • Experience/knowledge of computer science concepts

Desired Skills:

  • Ideal Candidates would be from one of the following Military Occupational Skill Communities:
    • Air Force – (1N4)
    • Marine – (2611, 2629)
    • Army – (35N, 352N, 17C, 170A)
    • Navy
      • CTR (C18A/9147, C19A/9149)
      • CTN (H11A/9319, H12A/9318, H13A/9308, H14A/9326, H15A/9327, H16A/9328, H33A, H34A)
  • Experience or familiarity with data analytics and/or the following advanced scripting languages and tools:
    • Python,
    • SQL
    • Jupyter
    • Pig
    • ELK Stack
    • Splunk
    • PowerBI
    • Jupyter Notebooks

_____________________________________________________________________________________________________

Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate’s scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.

Our compensation includes other indirect financial components designed to support employees’ total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.

_____________________________________________________________________________________________________

IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.

IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company’s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

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