Land Your Dream Data
Analyst Job In 3 Months.
Translate your existing experience to the technical skills, analytical thinking, and job hunt strategy needed to land and succeed in a high-paying, fulfilling analyst role in the age of AI.
Transitioning into data is no longer just about having technical skills.
It's about combining analytical thinking with standout communication,
business intuition, and domain knowledge to show your value as an analyst.
Students have landed offers
at these companies (Among many others!)
Program Results
Average months to land a new data analyst role
3.5
27%
Avg. drop in applications to land a data role
Avg. increase in resume-to-interviews
3x
Average salary increase of students
who land offers
$23,700
You’ve submitted your resume to a digital black hole of listings with “3458 other applicants” and don't know how to stand out in today's crazy market
3
You have technical skills, but you’re not sure how to apply them to day-to-day business questions or prove them in interviews
2
You’ve done certifications, spent hours on YouTube, and taken online courses - yet still don’t have a clear roadmap on what you actually do (or don't) need to land an offer
1
Does these challenges
sound like you?
You feel underconfident in interviews — including behavioral questions, technical interviews, and live case studies where strong business acumen is expected
4
The Analytics Accelerator tackles these challenges by combining a winning job-hunt strategy,
personal mentorship, and interview preparation from a hiring manager's perspective -
So that you can kickstart a fulfilling career in data
and excel in the actual job.
Each Week
Office hours
Personal feedback
Independent work
Throughout
Hands-on projects
Interview training
Personal mentorship
Structure
1:1 Feedback
Group Learning
Online, Part-time
Program Overview
Get clarity on how to overcome your challenges and target specific roles through a diagnostic and 1:1 call with Christine
Diagnostic and
Strategic 1:1
Craft your unique narrative and get feedback on your work through direct and continuous mentorship with Christine
Personal Career
Guidance
Learn step-by-step frameworks to present valuable insights and recommendations across industries
Data Analyst
Frameworks
Build two end-to-end standout projects using the real data ecosystem, soft skills, and stakeholder questions from the job
Standout Portfolio
Projects
Be part of a dynamic group of analysts who motivate each other, collaborate on projects, and are on the same journey as you
Motivated & Ambitious Community
Use our own, custom-built AI that will give you instant, tailored feedback on your job hunt materials aligned to program principles
Submissions
GPT
Practice interviews in a supportive environment and access a repository of interview questions + standout answers
Interview Feedback
& Confidence
Accelerate your job hunt with a stellar resume, cover letter, portfolio, interview guidance, and networking strategy
Standout Job Hunt
Package & Positioning
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
Real results from our 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
After a decade of working in data, I've seen the same pattern happen over and over. Smart, motivated analysts who had all the right skills, but couldn't get past the resume wall. Or people who landed the job, but felt imposter syndrome, second-guessing whether they were working as a "real" data analyst.
What I've learned working as a data director and hiring manager at companies like Vimeo, Oscar, Deloitte, and Justworks is this: technical skills are just the very beginning of being an analyst.
Strong storytelling, analytical thinking, and business judgment are what actually get you hired and promoted. Those aren't taught in school, in YouTube tutorials, and definitely not in any online certification.
This is the gap I help you fill.
I've seen firsthand how these skills have transformed my own life - enabling me to travel while working remotely, finding fulfillment at work, and most importantly, gaining confidence on the job and in my own life, knowing that I'm using my skills to their greatest potential.
I look forward to meeting you
and helping you find a path forward.
- Christine
Hi, I'm
Christine
Celebrating student successes
Since the first cohort, I've helped countless students around the world transition into their first data job - and am constantly inspired seeing the transformation in their confidence and ability to think and contribute like standout analysts.
Present
Launching the Analytics Accelerator
After a large wave of layoffs in the US, I started hosting free online workshops to help others transition into data. Inspired by the people I met in these workshops, I launched the first cohort in June 2023. Students from London joined class at 2am each week!
2023
Traveling for creative projects
During this time, I also traveled the world for photography projects, visiting Mexico, Switzerland, Italy, and Paris, exploring life through the lens of an analyst and an artist, while working full time as Director of Core Analytics at Vimeo.
2022
Becoming a director in data
After a few years at Vimeo, I became a director and led projects on exec reporting, dashboarding, pipelining, data modeling, and data infrastructure, expanding my love for the creative capabilities of data.
2022
Teaching analytics from Europe
During the pandemic, I lived in Lisbon for a few months, taught online classes at General Assembly, and saw first-hand how skill-based education is one of the most direct ways to increase diversity in technical roles.
2020
Starting my data career
I got my first role in data at Justworks, where I was exposed to the ability to use technical skills to help solve day-to-day business problems and learned to use SQL, Excel, Tableau, and GitHub as an interconnected toolkit.
2017
- You don't have any corporate work experience yet
- You're looking for beginner tutorials or drills that mainly focus on technical learning
- 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, ideally 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
- You're still on the fence about whether data is the right career path for you
This program is for you if:
Ready to apply?
This program isn't for you if:
- You can't consistently dedicate at least 3 hours each week to making progress towards your goals
- You are ready to invest consistent time and energy to reach you data career goals
FAQs
Tuition is shared after the application process so that we can first understand whether the program is the right fit for you. As a benchmark, the program is much more financially accessible than data analytics bootcamps, while teaching you long-term job hunt strategy, business thinking, and soft skills not covered in any other program.
Ideal applicants typically have a few years of professional experience, with domain knowledge in a data-adjacent field such as finance, marketing, tech, healthcare, sales, operations, business development, or research. We also welcome highly motivated recent graduates from bachelor’s or advanced degree programs.
You’re likely a good fit if you’re already comfortable with analytics fundamentals. For example, using Excel to analyze data and write basic SQL queries—and have some exposure to a visualization tool like Tableau, Power BI, or Looker. You don’t need to be an expert; a working familiarity is enough.
Beyond technical skills, we look for applicants who are curious, motivated, and thoughtful communicators, and who are excited to learn alongside and contribute to a collaborative, supportive community.
No other program uses a 360-degree approach with personal mentorship, group coaching, hands-on and collaborative projects, mock interviews, and feedback directly from a hiring manager and data director. Most importantly, it focuses on the magic ingredient - analytical soft skills - needed to land a data role in today's competitive job market. Lastly, selective criteria for enrollment means each cohort is a community of motivated, dynamic, and committed students who each contribute to the collective momentum and transformation of the class.
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.
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.
The program is designed to fit into a busy schedule. To get meaningful results, we recommend setting aside at least 4 hours per week to engage with the material, practice, and apply what you’re learning.
Office hours are held Tuesday evenings EST and Thursday afternoons EST. Classes are recorded for you to watch on your own time and if you need to miss a session, questions can be addressed in Slack and in recordings, with summaries so you can catch up quickly.
This program prepares you for core analyst roles such as Data Analyst, Business Analyst, Insights Analyst, and Reporting Analyst. Beyond these titles, the program also prepares you to land domain-specific analyst jobs — for example, students have landed titles including Content and Strategy Analyst, Operations Analyst, Healthcare Analyst, Finance Analyst, Payments & Billing Analyst, Data Quality Analyst, Marketing Analyst, and Product Analyst.
If you’re accepted into the program, you’ll be able to enroll risk-free. After completing the diagnostic, if you decide the program isn’t the right fit for you, you’ll receive a full refund (in line with our refund policy). My goal is for this to feel like a low-risk, high-clarity decision. If you show up, engage with the work, and apply what you’re learning, you should expect to see real progress.