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