Explore an exciting opportunity as a ConnectPrep in Seattle, WA. This Full-time role is ideal for professionals interested in the IT Services and IT Consulting sector and offers hands-on experience in the Analyst department .
Rated 4.7/5 by employees, this opening is perfect for candidates at the Internship level. Posted 41 minutes ago, and still accepting applications — don’t miss out.
Search more jobs like this in Seattle and across WA only on ApplyMates.
“ConnectPrep” Company Job Details
- Company Name: ConnectPrep
- Work Type: Full-time
- Rating: 4.7 / 5
- Location: Seattle, WA
- Industry: IT Services and IT Consulting
- Department: Analyst
- Experience Level: Internship
- Job Creation Duration: 41 minutes ago
Senior Data Analyst Job Overview
About ConnectPrep
ConnectPrep is a forward-thinking education company dedicated to transforming student success through personalized instruction, technology, and data-driven strategies. We combine educational expertise with deep analytical capabilities to optimize outcomes across tutoring, test prep, and college advising programs. As we continue to grow, we are seeking a highly motivated and experienced Senior Data Analyst to join our team and lead strategic data initiatives across departments.
Position Overview
The Senior Data Analyst will play a key leadership role in building and scaling ConnectPrep’s analytics function. This individual will be responsible for designing and maintaining data systems, driving business insights through advanced analytics, and supporting key initiatives across operations, curriculum development, and marketing. This is a high-impact role for a data-driven professional who is equally comfortable with hands-on technical work and cross-functional collaboration.
Key Responsibilities
- Lead the design, development, and optimization of dashboards, data models, and analytical tools to support business and educational performance metrics.
- Translate complex data into actionable insights and clearly communicate findings to senior leadership and non-technical stakeholders.
- Own the full analytics workflow, including data extraction (SQL), transformation, and visualization using tools such as Tableau, Power BI, or Looker.
- Design and evaluate A/B tests for product and content experimentation, interpreting results to inform decision-making.
- Develop predictive models to support personalization and adaptive learning efforts across educational services.
- Partner with internal teams—including curriculum developers, marketing, and engineering—to define data requirements and ensure consistent implementation of analytics strategy.
- Mentor junior analysts and contribute to the development of internal data best practices and documentation.
- Support data governance, data quality, and compliance initiatives.
Qualifications
- Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related field.
- Minimum 5 years of professional experience in a data analytics or data science role, preferably in education, edtech, or a service-based company.
- Advanced proficiency in SQL and Python (Pandas, NumPy, or similar libraries); knowledge of R is a plus.
- Strong experience with BI tools such as Tableau, Power BI, or Looker.
- Demonstrated ability to manage and communicate data projects independently, from conception through execution.
- Experience designing and analyzing A/B and multivariate experiments.
- Familiarity with data pipeline tools (e.g., Airflow, dbt) and data warehouse architecture (e.g., Snowflake, BigQuery) preferred.
- Excellent communication skills and the ability to work cross-functionally in a collaborative environment.
- Passion for education and using data to drive meaningful outcomes.
Preferred Qualifications
- Experience in educational data analysis or adaptive learning technologies.
- Exposure to machine learning techniques and model deployment.
- Prior leadership or mentorship experience within analytics teams.
- Strong business acumen with an understanding of how data supports strategic goals.
What We Offer
- Competitive salary commensurate with experience.
- Equity opportunity and performance-based incentives.
- Health, dental, and vision benefits; 401(k) program.
- Generous PTO and flexible work arrangements.
- A mission-driven work environment where data directly impacts student growth and educational access.
- Career advancement opportunities as part of a growing company.
How To Apply
Please submit your resume and a brief cover letter highlighting your analytics experience and interest in this role to careers@connectprep.com. Use the subject line “Senior Data Analyst – [Your Name]”.
Requirements
What we are looking for:
- Creative problem solving, strong math/quantitative skills, and attention to detail
- A background in Applied Mathematics, Statistics, or Computer Science
- Ability to brainstorm ways we can use our product to collect data that provides insight into the needs of our students
- Experience with SQL, Pandas, or other fast analysis language
- Experience in data analysis or building pipeline tools in Python
- Some coding background and a strong interest in technology
- Advanced Excel skills (Advanced Formulas)
- Tables & Formatting
- Conditional Formatting
- Advanced Charting
- Pivot tables & Pivot Reporting
- VBA & Macros
- Using Excel Productively
- Data Tables, Simulations & Solver
Benefits
Why join ConnectPrep?
- Get in on the ground floor of an exciting new company, with the potential to help shape our direction
- Be involved with a team that has bold ideas, with the goal of reinventing education across the globe
- Gain valuable experience, meet technology innovators, and learn about the business side of our company
Sound Interesting?
Please submit your resume and letter of interest at careers@connectprep.com.
All applicants must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer. ConnectPrep is an equal opportunity employer EEO/M/F/D/V.
Didn’t find this jobs relevant? Find More Jobs Near You Below
