Senior Data Analyst
Suvoda
Summary
Suvoda's Data Services team is responsible for data delivery from all applications in the clinical platform to our customers. The team is responsible for the collection, structuring, scrubbing, aggregation, and secure delivery of this data. We also provide our customers value-added services such as statistical and ML driven data analytics, visualization and tabular reporting. We are looking for a highly experienced Senior Data Analyst to drive delivery of our future data strategy.
Job description
Responsibilities
- Lead data discovery efforts, helping internal and external stakeholders find relevant data assets by providing guidance on queries, business logic and data lineage analysis
- Investigate and analyze existing data in databases to interpret quality of existing 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 its discoverability, reliability, and security
- Analyze data and create reports and dashboards
- Develop new data products and ML based analytics
- Grow the data literacy of the team through a combination of coaching and documenting
- Understand and apply data privacy principles to minimize and secure any sensitive data
Requirements
- Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science or related disciplines; Master's degree in Statistics, Data Science, or related disciplines preferred
- Experience working with ledger-based financial data or clinical trial data preferred
- At least 5 years' experience with SQL and Excel
- At least 3 years' 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, Spark Expectations
- Strong understanding of statistical concepts (hypothesis testing, regression analysis, 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 effectively present findings and insights to non-technical audiences
Requirements
- Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science or related disciplines
- Master's degree in Statistics, Data Science, or related disciplines preferred
- Experience working with ledger-based financial data or clinical trial data preferred
- At least 5 years' experience with SQL and Excel
- At least 3 years' 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, Spark Expectations
- Strong understanding of statistical concepts (hypothesis testing, regression analysis, 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 effectively present findings and insights to non-technical audiences
Company overview
Suvoda is a global clinical trial technology company founded in 2013 that specializes in providing advanced software solutions for complex, life-sustaining clinical studies in therapeutic areas such as oncology, central nervous system (CNS), and rare diseases. The company has evolved from a six-person startup into an international organization with offices across North America, Europe, and Asia. Suvoda's comprehensive platform features modular solutions including Interactive Response Technology (IRT), electronic Clinical Outcome Assessments (eCOA), eConsent, and following its merger with Greenphire, now includes patient payments and travel management capabilities. The company supports over 1,800 clinical trials worldwide, with approximately 65% focused on oncology, rare disease, and CNS studies. Suvoda's mission is to empower clinical trial stakeholders to make confident decisions and take calm, controlled action during the most urgent moments in clinical trials, streamlining workflows and improving patient experiences through integrated technology solutions.