ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.
© All Rights Reserved. ApplyBlast.com
ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.
© All Rights Reserved. ApplyBlast.com
sequoia-connect
The Lead Analytics Engineer will design and govern core KPIs, metrics, and semantic layers while delivering complex analytical work using advanced SQL and Python. The role focuses on data quality, performance optimization, and building robust analytical solutions in collaboration with engineering and business stakeholders.
Sequoia Connect is an IT talent and advisory firm that helps companies discover global tech talent and accelerate digital transformation. Founded in 2017, its technologist-to-technologist team delivers IT headhunting, advisory services, and tailored technology solutions to drive business growth. With a focused team (11–50 employees), Sequoia emphasizes collaboration, hands-on expertise, and measurable results. The firm positions itself as a partner that aligns people and IT strategy to support clients’ digital initiatives.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for sequoia-connect.
sequoia-connect didn’t post a salary, so this is our estimate from similar listings.
Lead design and governance of core KPIs, metric definitions, and semantic layers. Deliver complex analytical work using advanced SQL, including performance tuning on RDS/Oracle/Redshift and cost-conscious querying in Athena. Use Python to create reproducible analysis (pandas, statsmodels/scikit-learn light use), automation scripts, and data validation checks. Define data quality expectations; implement automated checks and anomaly detection; triage and drive resolution with engineering. Conduct deep-dive analyses, cohorting, funneling, forecasting, and experiment design. Create and maintain STTM Mapping document by coordinating with upstream/downstream stakeholders Improve query performance with sort keys, distribution keys, partitioning, predicate pushdown, and compression awareness. Establish version control and peer-review processes for analytics assets; contribute to lightweight CI for SQL/tests. Expert SQL on RDS/Oracle/Redshift (query tuning, vacuum/analyze awareness) and Athena (partitions, file formats, cost control). Advanced BI development and data storytelling; strong UX best practices for dashboards. Python for analysis and automation; packaging and reusability of common analytics functions. Solid statistics for inference and experiment design; practical application in business contexts. Collaboration tools (Confluence/Jira), stakeholder management, and ability to translate business needs into robust analytical solutions. Nice-to-Have Experience with modeling tools; 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 (Kinesis/SNS/SQS) and data freshness SLAs. Build scalable, reusable dashboards and data models in QuickSight/Tableau; enforce consistency and naming standards. Good understanding of using AI tools like Github Copilot or similar for code productivity
oraclecloudinfrastructure
Senior Analytics Engineer
University of Maryland Global Campus
Service Analytics Data Analyst
HP
Data Analyst
Marriott Vacations Worldwide
BI Developer, Data & Analytics
Giant Tiger
Senior Consultant - Consumer Analytics Data Engineering
Eli Lilly and Company