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Data analytics Apprenticeship

15-month accelerated career journey | Gain Professional experience | become a leader in tech

 DATA ANALYTICS APPRENTICESHIP OVERVIEW

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APPLY FOR THE PROGRAM
Attend 8-Week Pre-Apprenticeship
interview with partner company
start full-time (earn up to 27 college credits)
12-Months of training & coaching
accelerate & advance

EARN INDUSTRY LEADING CERTIFICATIONS

tableau software logo
ITIL Foundations logo
oracle software logo

curriculum overview

pre-apprenticeship

apprenticeship

schedule
  • 8-Week pre-apprenticeship training + initial on-the-job training (5 additional weeks following pre-apprenticeship period)
  • Minumum 10 hours of study per week
  • Mon./Wed./Thurs. 5:30pm-7:30pm CST
curriculum
  • Python programming fundamentals
  • Introduction to object-based programming
  • Database Management system
  • Linux shell scripting
  • ITIL (Information Technology Infrastructure Library) overview
schedule
  • 12 Months
  • Minimum 12 hours training and study time per week (live trainings Tues./Thurs. 6:00pm-7:30pm CST)
  • Full-time work schedule (hours may vary)
Curriculum
  • Oracle SQL
  • Basics of Data Visualization
  • Big Data Stack Overview
  • IT Service Management
  • Python for Data Analytics
  • And more

apprentice testimonials

Check out how NEW’s programs have impacted our apprentices

Ben Collier

“The Data Analytics Bootcamp has provided me the systematic approach of extracting, identifying, and presenting data. We developed our skillset in Python, SQL, and Tableau and applied the techniques from the boot camp to create our portfolio to have a competitive edge as a job seeker.  Currently, I am exploring HR analytics with the goal of developing data-driven strategies in hopes of providing insights into the constantly changing and evolving nature of people in the workforce. New Apprenticeship gave me great foundations for a valuable skillset which opened me to many career opportunities!”

ann eze

Tech Process Associate at Infosys

“I received and accepted a job offer from Infosys. This could not have happened without NEW taking the time from your busy schedule to follow up on my specific situation. The bootcamp and apprenticeship have changed my life for the better. So rather than just say thank you to you, I will also demonstrate my appreciation by working hard to excel in the apprenticeship program, as well as utilize the opportunity to the best of my ability. Thank you for your comittment, assistance, and support. My gratitude for your contribution to my future success is immeasurable.”

William Gex

Tech Process Associate at Infosys

The most rewarding thing so far is the one I least expected. The focus that NEW puts on not only technical knowledge but emotional intelligence. The skills I’ve learned on how to properly deal with procrastination and increase my overall productivity and time management will follow me for the rest of my life professional and personal.

job details and eligibility

The role: Data Engineer

Job Responsibilities

Responsibilities will vary based on individual role. These may include, but are not limited to:

  • Develop, construct, test and maintain architectures
  • Align architecture with business requirements
  • Data acquisition
  • Develop data set processes
  • Use programming language and tools
  • Identify ways to improve data reliability, efficiency and quality
salary & benefits
  • Salary range: $35,000 – $45,000
  • Benefits may include health, PTO, dental, 401k, etc., but will vary depending on hiring company offerings.
  • Earn up to 27 college credits from Southern New Hampshire University
locations
  • Dallas, TX; Raleigh, NC; Indianapolis, IN; Hartford, CT; Tempe, AZ (positions may be remote currently, but may return to in-office work in the future)
eligibility & exclusions

Eligibility Requirements:

  • Prior work experience with data vizualisation, business analytics, businesses consulting (IDEAL)
  • Some coding/programming experience: HTML, Python, R, SAS, Java, C++, SQL, CSS, Scala, Ruby, Perl, etc.
  • Some combination of advanced Excel and data visualization (Tableau, Google Data Studio, Power BI)

Exclusions:

  • Our apprenticeship is designed to provide a pathway to a successful tech career where opportunities traditionally do not exist. Therefore, we must insist that all applicants have not yet completed their Bachelor’s degree

frequently asked questions

AM I GUARANTEED A JOB AFTER THE PRE-EMPLOYMENT BOOTCAMP?

No. You are guaranteed at least 1 interview with a partner company if you complete the Pre-Employment Bootcamp in good standing.

HOW MUCH DOES THE PROGRAM COST?

All New Apprenticeship Pre-Apprenticeship and Apprenticeship Programs are brought to you at no cost by our grant partners not limited to the Department of Labor, Workforce Boards, and Employers. By entering the program, you acknowledge and agree to complete and submit documentation and comply with the requirements for eligibility.

HOW MUCH DOES THE FULL-TIME APPRENTICESHIP ROLE PAY?

Because we have multiple partner companies hiring apprentices, the salary can vary. The minimum salary offered is $35,000 with an expected offer range between $35,000 and $45,000.

DOES THE APPRENTICESHIP PROGRAM REQUIRE AN IN-PERSON TRAINING?

All training, coaching and mentoring provided by New Apprenticeship is remote, however, your employer may require you to work in-office upon acceptance of a full-time job.

WHAT IS THE JOB TITLE AND JOB DESCRIPTION?

Since we have multiple employer partners, your job title and description may vary slightly, but it should be similar to Data Engineer. For an example job description, search other data engineering roles to better understand day-to-day responsibilities in similar positions.

DO I NEED ANY PRIOR SKILLS OR EXPERIENCE TO BE ACCEPTED INTO THE PROGRAM?

You will be required to have a general aptitude for computers and technology. Other ideal skills include:

  • Prior work experience with data viz, business analytics, businesses consulting (IDEAL)
  • Some coding/programming experience: HTML, Python, R, SAS, Java, C++, SQL, CSS, Scala, Ruby, Perl, etc
  • Some combination of advanced Excel and data visualization (Tableau, Google Data Studio, Power BI)