Senior Data Analyst

Suvoda • Conshohocken, PA

5d

About The Position

Suvoda’s Data Services team delivers data from applications across its clinical platform to customers. The team collects, structures, scrubs, aggregates, and securely delivers data, and provides value-added services including statistical and machine-learning-driven analytics, visualization, and tabular reporting. The Senior Data Analyst will help drive delivery of Suvoda’s future data strategy.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, Statistics, Data Science, or a related discipline.
• At least 5 years of experience with SQL and Excel.
• At least 3 years of experience with data profiling and cataloging tools such as OpenMetadata, AWS Glue Data Quality, or dbt test.
• Familiarity with Python and Python data quality libraries such as Great Expectations and Spark Expectations.
• Strong understanding of statistical concepts, including hypothesis testing, regression analysis, and Analysis of Variance.
• Ability to identify complex problems, analyze data to find root causes, and propose data-driven solutions.
• Excellent written and verbal communication skills to present findings and insights effectively to non-technical audiences.

Nice To Haves

• Master’s degree in Statistics, Data Science, or a related discipline.
• Experience working with ledger-based financial data or clinical trial data.

Responsibilities

• Lead data discovery efforts, guiding internal and external stakeholders in finding relevant data assets through queries, business logic, and data lineage analysis.
• Investigate and analyze existing database data to interpret the quality of its content.
• Ensure data accuracy, completeness, and consistency through ongoing data profiling, cleansing, and enrichment.
• Manage cross-functional data governance policies by cataloging, maintaining, and analyzing data to improve discoverability, reliability, and security.
• Analyze data and create reports and dashboards.
• Develop new data products and machine-learning-based analytics.
• Grow the team’s data literacy through coaching and documentation.
• Understand and apply data privacy principles to minimize and secure sensitive data.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior