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Psychometric Data Analyst II

1 month, 2 weeks ago
United States
Full-time
Senior
Data Analyst
Data Science and Analytics
MongoDB Python R Snowflake SQL
Apply Now
Renaissance

Renaissance

Renaissance is a global leader in K‒12 educational software solutions and learning analytics. Their products, trusted by educators, aim to enhance curriculum, support differentiated instruction, and personalize practice in reading, writing, and math. W...

Internet Software & Services
1K-5K
Founded 1986
$40M raised
View All Jobs 4

Description

  • Extract data from SQL and NoSQL databases, including Snowflake and MongoDB, to support psychometric analyses and operational reporting.
  • Validate data through rigorous transformation, documentation, and integrity checks.
  • Analyze item and test content, quality, and performance using statistical and psychometric methods.
  • Support psychometricians with advanced analyses such as IRT modeling, reliability studies, and norming.
  • Validate assessment logic to ensure scoring rules, branching, and performance assumptions work as intended.
  • Define, calculate, and track assessment quality and performance metrics across programs.
  • Design and implement research studies, simulations, and data mining projects to study assessment behavior and drive improvement.
  • Communicate analytical findings through reports, visualizations, dashboards, and presentations for technical and non-technical audiences.
  • Maintain current knowledge of statistical methods, psychometric best practices, and modern data engineering workflows.

Requirements

  • Bachelor's degree in statistics, mathematics, data science, or a related field from a four-year accredited college or university.
  • Minimum 6 years of experience implementing analysis and testing plans and defining and tracking metrics, or an equivalent combination of education and experience.
  • Extensive database management experience with both structured (SQL) and unstructured (NoSQL) databases, especially MongoDB.
  • Ability to manipulate and analyze data in SAS, R, and Python.
  • Exceptional attention to detail.
  • Demonstrated ability to work well within a team and cross-functionally.
  • Master’s degree in Statistics or a related field is preferred.
  • Ability to work in the United States without employer visa sponsorship.
  • Experience with psychometric analysis methods such as IRT modeling, reliability studies, or norming is preferred.

Benefits

  • Salary range of $61,800 to $85,000 USD.
  • World-class health benefits including medical, prescription, dental, vision, and telehealth coverage.
  • Health Savings Accounts and Flexible Spending Accounts.
  • 401(k) and Roth 401(k) with company match.
  • Paid vacation and sick time off.
  • 12 paid holidays.
  • Parental leave totaling 20 weeks, including 14 weeks paid, plus the Milk Stork program.
  • Tuition reimbursement.
  • Life and disability insurance.
  • Well-being and Employee Assistance Programs.

Interested in this position?

Apply directly on the company website

Apply Now

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