Senior Data Analyst
- LocationConshohocken, Pennsylvania
- Work typeOn-site
- Posted9 November 2026
- SourceSuvoda's careers page (Greenhouse)
Live checkFirst seen 2 h ago; still listed on Suvoda's careers page 2 h ago.
At a glance
- Experience5+ years
- EducationBachelor's degree
- Skills and toolsSQL, AWS, dbt, Python, Spark, Driver's license, Excel
Read from the ad by RoleFinder, with rules and an AI reading; the description is the source.
Back from the application? Add your CV and RoleFinder scores your fit for this role, then ranks your best 12 open roles where you want to work, each with a one-line reason.
Check my fitDid you apply? Keep this role in a free RoleFinder list with the others you save. The list shows where you applied and marks a role that closes.
Yes, save it to my listNot yet: check my fit firstAbout the role
Senior Data Analyst
Department : Product Development
Reports to : Director of Data Engineering
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.
Responsibilities:
- Lead data discovery efforts, where you will help internal and external stakeholders in finding 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 Statustucs, Data Science, or related discplines preferred
- Experience working with lefger-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
We are aware that an individual(s) are fraudulently representing themselves as Suvoda recruiters and/or hiring managers. Suvoda will never request personal information such as your bank account number, credit card number, drivers license or social security number — or request payment from you — during the job application or interview process. Any emails from the Suvoda recruiting team will come from a @suvoda.com email address. You can learn more about these types of fraud by referring to this FTC consumer alert .
As set forth in Suvoda’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
If you are based in California, we encourage you to read this important information for California residents linked here .
Get open roles ranked against your CV
Add your CV once. RoleFinder ranks the open roles where you want to work, plus remote ones, against it, shows your best 12 with a one-line reason each, and emails you new matches once a week. The file is read once by AI and not kept; employers never see it.
Sign in with Google or email to start. How we handle your CV