The ultimate accelerator
to a career in analytics.
A 3-month, personalized mentorship to help you land a data role with confidence - built around the standout skills, strategy, and positioning hiring managers actually look for today.
Build the resume, interview prep, and analytical thinking that lands offers.
These days, getting a job in data isn't just about having technical skills.
It's about combining technical know-how with standout communication, business instinct, and domain knowledge to show your value as an analyst.
Students have landed offers
and interviews at these companies
Within 6 months of the 1st cohort, over 70% of students landed their first data analytics-related role through the portfolio, resume, & skills from the program.
100%
said their skills in SQL, Excel, and Tableau improved or significantly improved
said their skills in technical and behavioral interviews significantly improved
average months to land a role
for students actively applying during or after the program
3.5
average salary increase among students who landed full-time data roles within 6 months
+32%
Cohort Results
94%
said they would recommend this program to others
94%
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
Do any of these
challenges resonate
with 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 through a unique combination of job-hunt strategy,
personalized mentorship, and interview preparation -
So that you can kickstart a fulfilling career in data
and feel confident on 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
1:1 mentorship
and clarity
Practice interviews in a supportive environment and access a repository of interview questions + standout answers
interview
CONFIDENCE
Accelerate your job hunt with a stellar resume, cover letter, portfolio, interview guidance, and networking strategy
STANDOUT JOB
APPLICATION
Use our own, custom-built AI that will give you instant, tailored feedback on your job hunt materials aligned to program principles
Submissions
GPT
Craft your unique narrative and get feedback on your work through direct and continuous mentorship with Christine
PERSONALized
feedback
Be part of a dynamic group of analysts who motivate each other, collaborate on projects, and are on the same journey as you
Motivated, close-knit Community
Learn step-by-step frameworks to present valuable insights and recommendations across industries
Business Analysis Frameworks
Build two end-to-end standout projects using the real data ecosystem, soft skills, and stakeholder questions from the job
Simulated Work ENVIRONMENT
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
meet our 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
Course Concepts
Get an honest assessment of what’s working, what’s not, and where your job search is getting stuck — plus a 1:1 call with Christine where you get clear guidance on which roles to realistically target and what to prioritize as you start in the program.
Understand the detailed roadmap of everything you need to know to become a successful analyst and how to stand out to data hiring managers. Learn a strategic approach to the job hunt and deep-dive into creating a stellar resume
Dive into an insights-focused business project in Excel and GitHub and learn how to transform your portfolio from good to great. See the end-to-end lifecycle of an analytics project and practice cleaning, preparing, and exploring a large business-relevant dataset using analytical frameworks
Conduct segmentation analysis for key business metrics to build recommendations for marketing and product teams; document these findings using industry best practices. Learn key principles for requirements gathering and communicating with non-technical stakeholders
Use SQL and BigQuery to answer day-to-day business questions from a sales and finance team. Learn about ETL concepts like data pipelining, data transformation, data architecture, data modeling, and data governance. Apply the framework for crafting a standout narrative in your cover letter
Take your SQL project to the next level with advanced business questions that represent the complexities of the job, and package your queries into insights to be used by finance, sales, and operations teams. Learn the strategy to excel in live coding interviews
Add advanced SQL functions to your toolkit and apply them to tricky stakeholder questions. Understand the end-to-end strategy for practicing interviews, networking, differentiating data jobs, and applying to jobs that are right for you
Dive into a list of questions that cover ~80% of questions asked in interviews and see examples of awesome responses. Learn how to use value-driven networking to catch the eye of recruiters given your unique background
Build a design-forward Tableau dashboard that surfaces trends and insights in a structure commonly used by C-level executives while using Tableau best practices for dashboard design and stakeholder interactivity
Learn how to deliver your insights and findings through a clear and compelling presentation structure for interviews and the job, and apply data storytelling frameworks to bring your project to life
Learn the data engineering fundamentals that actually set analysts apart with hiring managers — from concepts like data integrity and modeling to analytics engineering and how dbt fits into the analyst workflow.
Understand the month-by-month trajectory of a data analyst and learn project management frameworks to succeed at work and impress your manager, team members, and stakeholders!
Since 2017, I’ve been immersed in the world of data — with a front-row seat to how the industry has evolved across companies like Vimeo, Oscar Health, Deloitte, and Justworks.
At Vimeo, I became Data Director of Core Analytics in just three years, working shoulder-to-shoulder with product leaders, engineers, and executives to turn messy data into decisions that actually moved the business..
As a hiring manager, I saw exactly why some people thrive in data while others get stuck — and it’s rarely just about technical skill. Today, my mission is to train the next wave of standout data professionals who can think strategically, communicate confidently, and make data matter to real people in an AI-driven world.
Meet your mentor,
Christine
The Analytics Accelerator was born out of a desire to train the next wave of standout data professionals — analytically sharp, human-centered, and ready to lead in an AI-driven world.
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’re willing to iterate, practice, and grow to improve your odds in a competitive market
- You’re job-hunt ready (or will be in the next 1–3 months) and want a clear strategy for which roles to target and how to stand out
- You already have baseline analytics skills, but are struggling to turn them into offers
- You’re starting out and want to learn tools or foundational data concepts
This program is for you if:
Ready to apply?
This program isn't for you if:
- You don’t yet have work experience or an academic degree that translates to data
- You have a few years of corporate or relevant work experience and have used data in a real-world context
- You’re not planning to actively pursue a data role within the next 6–9 months
- You’re not able to actively commit time to the job hunt during the program
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.
After you apply, you'll hear back in the next few weeks. If the program seems like a fit for you, we'll share more about the program structure, tuition, and results. If the program isn't the right fit for you, you'll receive feedback on what to focus on for a future cohort. Applications are on a rolling basis and enrollments fill quickly - the sooner you apply, the better!
Ideal candidates 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, and Tableau. We do not teach Python as it is not a core requirement of many early-career data analyst positions, and the goal of this program is to equip you with the most efficient roadmap for becoming a data analyst today.
After the 4-month 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 jobs with the title of Data Analyst, Business Intelligence Analyst, Reporting Analyst, and Insights Analyst. The skills taught are also related to roles titled Finance Analyst, Operations Analyst, Product Analyst, and Business 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.