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Data Analytics Apprenticeship Jobs (NOW HIRING)

Senior Data Analyst

Arlington, VA · On-site

$98K - $124K/yr

Analytics Engineering: Write production-quality SQL in Snowflake to power reporting pipelines and ... apprenticeship. [solidcore] makes hiring decisions based solely on qualifications, merit, and ...

Experience utilizing data analytics tools in a professional environment * Exposure to SaaS metrics ... apprenticeship. We will provide reasonable accommodation to applicants and employees with ...

Experience utilizing data analytics tools in a professional environment * Exposure to SaaS metrics ... apprenticeship. We will provide reasonable accommodation to applicants and employees with ...

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

... Data Analytics or related technical experience. This can include internship, Co-op, apprentices, military service, or similar programs. * BS in Computer Engineering, Computer Science, Data ...

DATA ENGINEER

Norwood, NC · On-site

$105K - $127K/yr

... Data Analytics or related technical experience. This can include internship, Co-op, apprentices, military service, or similar programs. * BS in Computer Engineering, Computer Science, Data ...

DATA ENGINEER

Norwood, NC · On-site

$105K - $127K/yr

... Data Analytics or related technical experience. This can include internship, Co-op, apprentices, military service, or similar programs. * BS in Computer Engineering, Computer Science, Data ...

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

... Data Analytics or related technical experience. This can include internship, Co-op, apprentices, military service, or similar programs. * BS in Computer Engineering, Computer Science, Data ...

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

... Data Analytics or related technical experience. This can include internship, Co-op, apprentices, military service, or similar programs. * BS in Computer Engineering, Computer Science, Data ...

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Data Analytics Apprenticeship information

What is a Data Analytics Apprenticeship?

A Data Analytics Apprenticeship is a structured, on-the-job training program that teaches individuals the skills and knowledge needed to become a data analyst. Apprentices work alongside experienced professionals, gaining hands-on experience with data collection, analysis, and visualization tools. These programs often combine coursework with real-world projects, allowing apprentices to learn industry-relevant techniques and software such as Excel, SQL, and Python. Upon completion, apprentices are prepared for entry-level data analytics roles and may have the opportunity to earn industry-recognized certifications.

What types of projects or tasks can I expect to work on during a Data Analytics Apprenticeship?

During a Data Analytics Apprenticeship, you can expect to work on a variety of hands-on projects such as data cleaning, building dashboards, analyzing trends, and generating reports to support business decision-making. Apprentices often collaborate with teams across departments, such as marketing or operations, to gather requirements and deliver actionable insights. You'll also use tools like Excel, SQL, and visualization platforms like Tableau or Power BI, gradually taking on more complex assignments as your skills progress. This role provides valuable exposure to real-world data challenges and sets a strong foundation for a career in analytics.

Is a data analyst apprenticeship worth it?

A data analyst apprenticeship provides hands-on experience, industry-specific skills, and often leads to job opportunities in data analysis. It can be a valuable pathway for beginners to develop proficiency in tools like Excel, SQL, and visualization software while earning a salary. However, its value depends on the program's quality and the individual's career goals.

Is 27 too old for an apprenticeship?

There is no age limit for a Data Analytics Apprenticeship, and many programs value diverse backgrounds and experiences. Age should not be a barrier, as apprenticeships focus on skills development, such as data analysis tools and programming languages, regardless of age.

What is the difference between Data Analytics Apprenticeship vs Data Analyst?

AspectData Analytics ApprenticeshipData Analyst
Required CredentialsOften includes certifications, training programs, or related courseworkBachelor's degree in data-related fields; certifications like Google Data Analytics are common
Work EnvironmentEntry-level, training-focused, often in corporate or tech settingsFull-time professional role in various industries, including finance, healthcare, and tech
Employer & Industry UsageUsed by companies to train new talent; common in tech and consulting firmsStandard role across industries requiring data analysis skills

The Data Analytics Apprenticeship is a training program designed to develop foundational skills, often with certifications and mentorship, while a Data Analyst is a full-time professional responsible for analyzing data to inform business decisions. The apprenticeship prepares individuals for the analyst role, which typically requires more experience and responsibility.

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

To thrive as a Data Analytics Apprentice, you need a solid understanding of statistical analysis, data visualization, and foundational programming skills, often supported by a relevant degree or coursework in mathematics, statistics, or computer science. Familiarity with tools such as Excel, SQL, Python or R, and platforms like Tableau or Power BI is typically expected, along with any introductory certifications in data analytics. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills that help you interpret and present data insights clearly. These competencies ensure you can support data-driven decision-making and add value to your team from the early stages of your career.

What does a data analyst apprentice do?

A data analyst apprentice assists in collecting, cleaning, and analyzing data to identify trends and support decision-making. They often use tools like Excel, SQL, or data visualization software and work under supervision to develop their skills in data interpretation and reporting.

How can I get into data analytics with no experience?

To enter a data analytics apprenticeship with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or tutorials. Gaining familiarity with programming languages such as Python or R and completing relevant certifications can also improve your prospects; many apprenticeships value a strong willingness to learn and problem-solving ability. Practical projects or internships can demonstrate your skills to employers and help you transition into the field.
What cities are hiring for Data Analytics Apprenticeship jobs? Cities with the most Data Analytics Apprenticeship job openings:
What states have the most Data Analytics Apprenticeship jobs? States with the most job openings for Data Analytics Apprenticeship jobs include:
What job categories do people searching Data Analytics Apprenticeship jobs look for? The top searched job categories for Data Analytics Apprenticeship jobs are:
Infographic showing various Data Analytics Apprenticeship 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.
Senior Data Analyst

Senior Data Analyst

[solidcore]

Arlington, VA • On-site

$98K - $124K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Job description

[solidcore] is looking for a Senior Data Analyst to join our HQ team. You will work closely with marketing, studio operations and strategy to develop insights with actionable recommendations for our executive team. Successful candidates will exhibit deep technical skills coupled with business acumen to improve our business performance.
The ideal candidate is adept at using large data sets to find opportunities to optimize our business practices. Strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating pipelines and creating/running simulations strongly preferred.
Located in vibrant Washington, DC and reporting to the Director of Analytics, this is an exciting opportunity to join a rapidly growing, investor-backed organization with a desire to be the leader in the studio fitness space.
Responsibilities
  • Analytics Engineering: Write production-quality SQL in Snowflake to power reporting pipelines and dashboards; Python or R experience is a plus for statistical analysis and automation.
  • Marketing & Consumer Insights: Analyze campaign performance across channels to surface ROI drivers, track customer journey and conversion metrics, and build attribution models that identify the highest-impact touchpoints.
  • Data Visualization: Own the design and maintenance of Tableau dashboards that translate complex data into clear, actionable insights for business stakeholders.
  • Cross-Functional Partnership: Collaborate with Marketing, Finance, and Operations teams to align analytical work with business priorities while ensuring data integrity and accessibility.
  • High-Impact Prioritization: Apply 80/20 thinking to focus on the metrics and analyses that drive the most meaningful business outcomes.

Required Skills & Experience
  • Advanced SQL proficiency; Snowflake experience strongly preferred. Python or R is a plus.
  • Hands-on experience with Tableau or a comparable BI tool.
  • Strong quantitative background with demonstrated ability to interpret complex data and communicate findings clearly to both technical and executive audiences.
  • Experience with marketing analytics, attribution modeling, or consumer insights.
  • Comfortable operating in ambiguous environments and balancing multiple priorities across self-directed and collaborative work.
  • High attention to detail and a genuine curiosity for getting to the right answer.
  • Bachelor's degree in Business, Economics, Statistics, or a related quantitative field preferred.

Compensation & Benefits:
  • Competitive starting salary, based on experience
  • Bonus eligibility based on performance
  • Monthly cell phone stipend
  • 401k with employer match
  • Health, dental, & vision insurance
  • Flexible PTO
  • Free drop in classes at [solidcore]
  • And MORE

[solidcore] is a national boutique fitness company with 100+ studios across the country. Our signature workout is 50 minutes of low-impact, high-intensity strength training: the lights are low and the music is loud. The coach guides the class through a series of slow & controlled movements that are sequenced to work muscles to failure. This class is accessible for all fitness levels and can be amplified or modified to accommodate individual goals. Class is as intense as our reviews suggest, but our instructors go above and beyond to provide a welcoming, supportive, empowering, and challenging experience for all. Please visit our website here to read more about our mission.
[solidcore] is firmly committed to social justice and promoting a culture of diversity, equity, and inclusion. You can click here to find out more about the actions we are taking to promote a more diverse and inclusive space for both our clients and our internal team.
[solidcore] is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. [solidcore] makes hiring decisions based solely on qualifications, merit, and business needs at the time.