Senior Data Analyst, Clinical Quality and Product
Omada Health
PythonSQLTableau
Data Analyst 2
Abnormal Security
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $123,300 - $145,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudPythonSQLTableau
About the role
- Join R&D Engine team to build and maintain core data pipelines and dashboards supporting a broad range of R&D metrics, primarily infrastructure cost optimization, AI enablement, engineering productivity, and other initiatives.
- Work closely with engineers and finance leadership to define, track, and optimize actionable metrics.
- Build, enhance, and maintain data pipelines and dashboards that drive transparency and optimization within our infrastructure cost program (across AWS, Azure, and related platforms).
- Support reporting and data development across AI enablement, engineering productivity, product usage, and other R&D-focused initiatives.
- Partner with engineers and technical stakeholders to define, track, and optimize actionable metrics; participate in metric design, not just execution.
- Apply strong SQL, dbt, and Python skills to automate measurement, ensure data quality, and maintain reliable operational metrics.
- Deliver high-frequency reporting, provide ad hoc analyses, and enable rapid feedback loops for cost and operational effectiveness.
Requirements
- 3+ years of experience working with large-scale data in analytical or product-oriented environments, with a strong focus on data exploration, interpretation, and communication.
- Proficiency in writing complex SQL queries and building clean, reliable data models to support reporting and analysis.
- Hands-on experience using DBT (Data Build Tool) to transform and organize data for downstream analytics workflows.
- Strong grasp of data analyst best practices, including analysis reproducibility, validating results through testing and sanity checks, and communicating insights clearly to both technical and non-technical audiences.
- Experience with at least one programming language (e.g., Python or R) for data exploration, statistical analysis, and automating reporting workflows; familiarity with DBT and/or Databricks is a plus.
- Bachelor’s degree in a quantitative field such as Data Science, Mathematics, Statistics, Computer Science, Information Systems, or a related discipline.
- Demonstrated ability to translate ambiguous business questions into structured analyses and data models optimized for insight generation.
- Strong track record of collaboration with cross-functional partners to deliver high-impact data solutions.
- Preferred: MS degree in Data Science, Mathematics, Statistics, Computer Science, Information Systems or other related engineering field.
- Preferred: Experience integrating and analyzing cloud cost and operational datasets (AWS, Azure, Databricks).
- Preferred: Experience with predictive modeling or statistical analysis techniques to support deeper insights and forecasting.
- Preferred: Proficiency with business intelligence tools (e.g., Looker, Tableau, Power BI) to build intuitive dashboards and communicate insights effectively.
Benefits
- Certain roles are eligible for a bonus
- Restricted stock units (RSUs)
- Benefits (unspecified)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLdbtPythondata modelingdata explorationstatistical analysispredictive modelingdata qualitydata analysisreporting
Soft skills
communicationcollaborationproblem-solvinganalytical thinkinginsight generationcross-functional teamworkadaptabilityattention to detailcritical thinkingdata interpretation
