Lead Data Architect

4 days, 6 hours ago
Full-time
Lead
Data Science and Analytics
Bounteous

Bounteous

Bounteous collaborates with ambitious brands across various industries, including finance and healthcare, to drive digital transformation by creating innovative and seamless customer experiences through advanced technologies such as AI, cloud, and data...

Internet Software & Services
1K-5K
Founded 2003

Description

  • Lead complex investigations, statistical analyses, and multi-source data projects.
  • Write and optimize advanced SQL against large, messy, and complex datasets.
  • Guide analysts through query optimization, data modeling, data quality, and other technical challenges.
  • Build and maintain data models and pipelines with Data Engineering partners.
  • Apply experimentation, regression, cohort, and trend analysis to produce defensible conclusions.
  • Design dashboards and reporting frameworks, supplementing them with custom analyses when needed.
  • Set technical standards for code reviews, data quality, documentation, and analytical rigor.
  • Mentor analysts through hands-on collaboration and formally manage performance and growth when applicable.
  • Translate ambiguous business questions into structured analytical approaches.
  • Present complex findings to senior stakeholders and own the analytics function’s technical roadmap.
  • Promote information security practices and assess risks to data confidentiality, integrity, and availability.
  • Ensure data handling complies with privacy standards, including GDPR and CCPA.

Requirements

  • 9+ years of hands-on data analysis experience with complex, high-volume datasets.
  • 2+ years leading or technically mentoring analysts.
  • Expert-level SQL, including window functions, query optimization, and large or poorly documented schemas.
  • Experience with cloud data warehouse or lakehouse platforms such as Snowflake and Databricks.
  • Strong statistical knowledge covering experimentation design, hypothesis testing, regression, and correlation assessment.
  • Experience with Tableau, Looker, Power BI, or a comparable BI visualization tool.
  • Ability to independently solve ambiguous, multi-layered data problems end to end.
  • Ability to communicate complex technical findings clearly to senior, non-technical stakeholders.
  • Direct experience designing and analyzing A/B tests or experimentation frameworks preferred.
  • Exposure to schema design, ETL, data warehousing, and upstream data quality diagnosis preferred.
  • Experience formally managing analysts, including performance and development planning, preferred.
  • Knowledge of data privacy, information security, and data protection practices preferred.

Benefits

  • Remote work opportunity.
  • Eligible candidates may receive employment visa sponsorship.
  • Equal opportunity employer.

Interested in this position?

Apply directly on the company website

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