Analytics Engineering Manager

Job not on LinkedIn

🕒 August 21

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sequoia Connect

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Sequoia Connect is a company that specializes in IT advisory and talent services particularly focused on digital transformation. They provide headhunting services for technology specialists, IT consulting, and recruitment process outsourcing. With operations spread across multiple countries including the USA, Mexico, India, and regions in Latin America, they connect technologists with global companies. They aim to optimize processes, reduce operating costs, and maintain high standards of technological innovation. Sequoia Connect supports digital transformation for both multinational corporations and agile startups, serving over 700 clients across 50+ countries.

📋 Description

• Define analytics strategy, KPI frameworks, and data product standards across teams • Own the enterprise semantic and reporting layer strategy across QuickSight/Tableau and Redshift/Athena • Partner with data engineering and architecture on domain models, data contracts, and self-service analytics capabilities • Establish and enforce data quality, documentation, and review processes • Own escalation and resolution paths for analytics issues • Lead and mentor analysts • Manage capacity, prioritization, and quality across multiple workstreams • Communicate insights and trade-offs to executives • Drive decision-making through clear narratives and measurable outcomes • Optimize the cost and performance of analytical workloads • Recommend storage and query patterns, including Redshift, Athena, and row-level caching • Ensure compliance with data governance, privacy, and security standards • Steward access policies in coordination with platform teams

🎯 Requirements

• Degree holder required for the visa application process • Leadership of analytics programs and teams • Proven stakeholder and executive communication • Mastery of SQL and performance engineering on Redshift • Deep Athena/S3 expertise, including partitioning, Parquet/ORC, and Glue cataloging • Expert BI architecture and governance in QuickSight/Tableau, including semantic layers and certification processes • Advanced Python for analytics automation, reproducibility, and standards • Deep understanding of dimensional modeling, domain-driven design for analytics, and metric governance • Strong grounding in data quality frameworks, documentation practices, and analytics SDLC, including versioning, review, and release • Resilience, emotional intelligence, and focus on agile delivery • Deep understanding of the distinction between coding and engineering • Experience influencing data platform architecture decisions • Familiarity with Redshift Spectrum, RA3 architecture, and concurrency scaling • Exposure to cost optimization and workload management at scale • Capacity planning and SLA definition experience • Good understanding of AI tools such as GitHub Copilot or similar • Familiarity with cloud-native foundations or AI coding assistants • Advanced oral English • Advanced Spanish

🏖️ Benefits

• Flexible remote work arrangement • Continuous learning opportunities • Exposure to high-impact projects and complex engineering challenges • Growth and professional development opportunities • International collaboration across global delivery centers