Lead Analytics Engineer
Full-time
Sequoia Connect
Role Description
We are currently searching for a Lead Analytics Engineer :
- Lead the design and governance of core KPIs, metric definitions, and semantic layers for Our Client.
- Deliver complex analytical work utilizing advanced SQL, focusing on performance tuning across RDS, Oracle, and Redshift, alongside cost-conscious querying in Athena.
- Utilize Python to create reproducible analyses, automation scripts, and robust data validation checks.
- Define data quality expectations, implement automated checks and anomaly detection, and triage resolutions collaboratively with engineering teams.
- Conduct comprehensive deep-dive analyses, cohorting, funneling, forecasting, and experiment design.
- Create and maintain Source-to-Target Mapping (STTM) documents through tight coordination with upstream and downstream stakeholders.
- Improve query performance continuously through sort keys, distribution keys, partitioning, predicate pushdown, and compression awareness.
- Establish strict version control and peer-review processes for analytics assets, contributing to lightweight CI for SQL and tests.
Qualifications
- Degree holders for the visa application process.
- Expert-level proficiency in SQL on RDS, Oracle, and Redshift, including deep query tuning and vacuum/analyze awareness.
- Proven expertise in AWS Athena, specifically regarding partitions, file formats, and cost control strategies.
- Advanced Business Intelligence (BI) development skills with a strong emphasis on data storytelling and UX best practices for dashboards.
- Strong Python programming skills focused on analysis, automation, packaging, and the reusability of common analytics functions (light use of pandas, statsmodels, scikit-learn).
- Solid foundation in statistics tailored for inference and experiment design, with practical application in business contexts.
- Demonstrated ability to translate complex business needs into robust analytical solutions using collaboration tools like Confluence and Jira.
- High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
- Technologist DNA: A deep understanding of the difference between "coding" and "engineering."
Requirements
- Experience with advanced modeling tools and the governance of analytics layers.
- Familiarity with AWS Glue Data Catalog, IAM basics for data access, and S3 file formats (Parquet/ORC).
- Exposure to event-based data architectures (Kinesis, SNS, SQS) and data freshness SLAs.
- Ability to build scalable, reusable dashboards and data models in QuickSight or Tableau while enforcing consistency and naming standards.
- Familiarity with cloud-native foundations or AI coding assistants, such as GitHub Copilot or similar tools for code productivity.
Languages
- Advanced Oral English: For seamless collaboration with global teams.
- Advanced Spanish.
Special Notes
- This position requires close alignment with various data stakeholders to drive business-critical analytics.
Work Arrangement
- We value flexibility to support your lifestyle. This position is available as: Remote.
Vacancy posted 6 days ago
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