Land your dream
data analyst 
job
in 4 months or less.

In the age of AI, technical skills alone won't land you a data analyst job.
You need analytical thinking, business judgment, and confident stakeholder communication. The Analytics Accelerator builds all three.

For professionals with 2+ years of work experience

In the age of AI, technical skills alone won't land you a data analyst job. You need analytical thinking, business judgment, and confident stakeholder communication. The Analytics Accelerator builds all three.

The Analytics Accelerator transforms your existing data experience into a high-paying analyst job by building the skills that data teams and hiring managers actually value today.

Do these sound like you?

You're don't have a clear roadmap for what skills you should (or shouldn't) prioritize to land offers and succeed as an analyst.


3

You're feeling overwhelmed, scattered, or stuck. 

You're not landing interviews - or are getting interviews but losing the final offer - and aren't sure how to stand out in today's crazy market.

1

You're struggling to stand out in the job market.

You already have technical skills, but lack confidence using tools and best practices to solve business problems at work.

2

You don't feel like a real data analyst.

The cause of these challenges are two key things:

A lack of hands-on experience with the kind of projects companies actually value today, and no way to translate that experience to stand out in today's evolving job market.

This is the gap the Analytics Accelerator closes.

Students have landed offers
at these companies - Among Many others

Program Results

Over 70% of students land a new data role
within 6 months of completing the program.

Months to land a new analyst role

3.5

Average salary increase

$23.7k

Increase in resume-to-interview rate

2.9x

$4M+

Total income generated

Our Winning 5-Pillar Framework

Complete an in-depth diagnostic from a data manager's perspective to identify your specific gaps, then meet with Christine 1:1 to create a roadmap to overcome these gaps and reach your career goals.

Diagnostic & Strategic 1:1

Get a step-by-step roadmap that shows you exactly what you need to learn - and in what order - across technical skills, soft skills, analytical frameworks, and job strategies to stand out.

End-to-end Roadmap

You'll never stay stuck or guess what to do next. Join Christine 2x/week for small-group coaching sessions where we tackle your questions, from technical guidance and project feedback, to resume reviews, interview prep, and career mentorship.

Direct Mentorship

Walk away with two projects that impress hiring managers, built with the real data ecosystem advanced analysts work. No more guessing if your portfolio is good enough.

Standout Application & Portfolio

Go from grinding alone to having a team behind you. People to cowork with, practice interviews with, and celebrate wins alongside.

Motivated Community

Yorlei
Analyst at Progyny

Pat
Data Analyst at Haymarket

Formerly in R&D, offer in 2 weeks after program

Formerly in journalism, offer in 1 month after program

Sean
Data Analyst at MMK Marketing

Auggie
Data Analyst at Peloton

Formerly in marketing, offer in 2 months after program

Formerly in customer success, offer in 1 month after program

Hear From Graduates

What do graduates have to say?

Yorlei
Financial Analyst at Progyny

Pat
Data Analyst at Haymarket Media

Sean
Data Analyst at MMK Marketing

Auggie
Data Analyst at Peloton

Former lab tech and R&D analyst, landed offer 2 weeks after program

Former journalist and sales manager, received offer 1 month after program

Previously in marketing & engineering, landed offer 2 months after program

Former customer success manager, received offer 4 weeks after program

I graduated from UPenn in 2015 with a degree in economics and statistics, and since then I've worked as a data analyst, data director, and hiring manager at companies like Vimeo, Oscar, Deloitte, and Justworks. In 2019 I found my love for mentorship by becoming a lead instructor at General Assembly, and haven't looked back since.

Across these industries, I saw a common struggle: smart, hardworking analysts who could code, yet got passed over for opportunities they deserved. Why? They were missing a few key skills - business instinct, domain knowledge, and the confidence to communicate what the numbers actually mean. In the age of AI, these are skills that will propel your career no matter how technology and the world of data evolves.

Building these skills has changed my own life - they're the reason I have financial security, the ability to live and work all over the world, and a career that I love and am proud of. That is what I want for every student who walks through this program.

- Christine 

Meet your mentor, Christine

Go from scattered job-seeker to standout analyst

Before the program

During and after the program

You approach interviews with confidence, a focused strategy, and a winning mindset
✓
You struggle turning data into clear recommendations a hiring manager or stakeholder trusts
✗
You second guess your skills, projects, and whether you are ready to make the move
✗
You apply for roles that look right on paper, but hear nothing back
✗
You have relevant experience but struggle to position it as standout analyst work
✗
You focus on the right skills, projects, and job opportunities, rather than trying to learn everything
✓
You tell a convincing story about your work in applications and interviews, with evidence to back it up
✓
You communicate insights in a way that shows you can add value to a real data team
✓
You can clearly position existing experience for the data analyst roles you want
✓

Before you apply

  • You're comfortable with the fundamentals of Excel and SQL and ready to apply them to real business problems

  • You have at least 2 years of corporate work experience in a data-adjacent field
  • You want to land a new data role in the next 6 months, or level up in the one you're already in

This is for you if:

  • You have little or no professional experience using data, reporting, or technical analysis
  • You're looking for beginner tutorials or drills that focus on technical learning
  • You're on the fence about whether data or analytics is the right career path for you

This isn't for you if:

FAQs

I'm working full time - how does this fit into a busy schedule?

Many of our students are working full time jobs, and the program is designed to fit into a busy schedule. Recorded modules are available to watch any time, and live office hour sessions are usually Tuesday evening and Thursday afternoon (both EST). Generally, we recommend being able to allocate an average of 3+ hours per week to work towards your goals and take full advantage of the program.

What level of support is available after the program ends?

After the cohort, you can enroll in our Continuity Cohort, which includes access to weekly office hours so that you have mentorship throughout your job hunt and until you land an offer. The class recordings, community Slack space, and class materials are all available to students indefinitely. 

How much does the program cost?

If you apply for the program and are qualified, I'll share details about the program tuition on a live call. As a benchmark, this program is more financially accessible than typical data bootcamps, and covers long-term job hunt strategy, business thinking, and stakeholder communication that no other program teaches.

How is this program different from other resources out there?

Our program uses a 360-degree approach with personal mentorship, group coaching, hands-on projects, mock interviews, and feedback directly from a hiring manager and data director.

Most importantly, we focus on the magic ingredient - analytical soft skills and business knowledge - needed to stand out in a data role in today's evolving data landscape.

Lastly, selective criteria for enrollment means our community is a tight-knit group of highly motivated, dynamic, and committed analysts who each contribute to the collective momentum and learnings of other program members.

What tools and concepts will I learn?

You’ll learn SQL, Excel, GitHub, Tableau, as well as AI-enablement and data engineering concepts needed to succeed as an analyst on a real data team today. The program focuses on hands-on experience with these tools applied to a real work setting, rather than theoretical knowledge easily found in tutorials online.