Note: The job is a remote job and is open to candidates in USA. Ascend Learning is a leading healthcare and learning technology company that provides data-driven solutions across the lifecycle of learning. The Senior Data Analyst will be responsible for building models, reports, and intelligence to support the test security function, leveraging a modern data stack and applying statistical modeling and machine learning to drive insights.
Responsibilities
- Design and implement statistical models, anomaly detection algorithms, and machine learning pipelines to identify suspicious test-taking patterns, proxy testing, impersonation, and item exposure across large-scale assessment datasets
- Build and maintain predictive and classification models — including logistic regression, clustering, random forest, and NLP-based flagging — to surface security risks and prioritize investigation queues
- Independently prepare and present findings, dashboards, and security briefings to senior leadership — translating complex analytical outputs into clear, actionable narratives
- Author detailed analytical reports supporting security investigations, including methodology documentation, evidence summaries, and recommended actions
- Write and maintain complex Snowflake SQL and T-SQL — stored procedures, views, and optimized queries — across Snowflake and SQL Server environments, integrating data from disparate sources including NoSQL, data lakes, APIs, and external data providers; contributing to EDW Gold layer development for exam security use cases
- Design, build, and maintain Tableau dashboards that surface key security metrics, incident trends, and performance indicators for both operational teams and senior leadership
- Partner with Psychometricians, Data Engineering, IT security, and remote proctoring vendors to align on analytical requirements, data quality standards, and the technology landscape — ensuring security data is accurate, timely, and fit for analysis
- Convert ambiguous needs from Test Security, IT, Legal, and Operations into well-defined analytical requirements and data specifications, maintaining clear documentation of models and methodologies throughout
Skills
- Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Educational Measurement, or a closely related quantitative field
- 5+ years of experience in data analysis or data science with demonstrated progression in technical scope and complexity
- Expert-level SQL across both Snowflake and SQL Server — stored procedures, query optimization, and complex multi-source joins
- Proven experience building statistical models and applying machine learning techniques such as classification, clustering, and anomaly detection in a production or near-production context
- Proficiency in Python, R, Snowflake ML for statistical analysis and model development
- Experience building and publishing Tableau dashboards for operational and executive audiences
- Demonstrated ability to communicate complex findings clearly and persuasively to non-technical stakeholders, including senior leadership
- Strong business acumen with the ability to prioritize analytical work by impact and translate ambiguous questions into structured analytical frameworks
- Proven experience working cross-functionally with engineering, product, and IT teams and engaging with vendor technologies
- Master's degree preferred in a quantitative discipline
- Familiarity with psychometric methods
- Experience with remote proctoring platforms
- Exposure to Medallion/EDW architectures in Snowflake
- Background in test security, fraud detection, or behavioral analytics at scale
Benefits
- Flexible and generous paid time off
- Competitive medical, dental, vision and life insurance
- 401(k) employer matching program
- Parental leave
- Wellness resources
- Charitable matching program
- On-site workout facilities (Leawood, Gilbert, Burlington)
- Community outreach groups
- Tuition reimbursement
Company Overview