Remote Senior Data Analyst

Description:

• ConnectPrep is a forward-thinking education company focused on transforming student success through personalized instruction, technology, and data-driven strategies.
• The Senior Data Analyst will lead strategic data initiatives across departments and play a key leadership role in building and scaling ConnectPrep’s analytics function.
• Responsibilities include designing and maintaining data systems, driving business insights through advanced analytics, and supporting key initiatives in operations, curriculum development, and marketing.
• The role requires leading the design, development, and optimization of dashboards, data models, and analytical tools to support business and educational performance metrics.
• The analyst will translate complex data into actionable insights and communicate findings to senior leadership and non-technical stakeholders.
• The position involves owning the full analytics workflow, including data extraction (SQL), transformation, and visualization using tools such as Tableau, Power BI, or Looker.
• The analyst will design and evaluate A/B tests for product and content experimentation and develop predictive models to support personalization and adaptive learning efforts.
• Collaboration with internal teams, mentoring junior analysts, and supporting data governance and compliance initiatives are also key responsibilities.

Requirements:

• A Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related field is required.
• A minimum of 5 years of professional experience in a data analytics or data science role, preferably in education, edtech, or a service-based company, is necessary.
• Advanced proficiency in SQL and Python (Pandas, NumPy, or similar libraries) is required; knowledge of R is a plus.
• Strong experience with BI tools such as Tableau, Power BI, or Looker is essential.
• The candidate must demonstrate the ability to manage and communicate data projects independently, from conception through execution.
• Experience in designing and analyzing A/B and multivariate experiments is required.
• Familiarity with data pipeline tools (e.g., Airflow, dbt) and data warehouse architecture (e.g., Snowflake, BigQuery) is preferred.
• Excellent communication skills and the ability to work cross-functionally in a collaborative environment are necessary.
• A passion for education and using data to drive meaningful outcomes is essential.

Benefits:

• The position offers a competitive salary commensurate with experience.
• There is an equity opportunity and performance-based incentives available.
• Health, dental, and vision benefits, along with a 401(k) program, are provided.
• Employees enjoy generous PTO and flexible work arrangements.
• The work environment is mission-driven, where data directly impacts student growth and educational access.
• There are career advancement opportunities as part of a growing company.