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Senior Data Analyst at ConnectPrep. 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 . [email protected]. . Use the subject line “Senior Data Analyst – [Your Name]”.. 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. . . . Company Location: United States.