Lead Analyst

This is a fully remote position, open to applicants in Maine.

📋 Description

• Oversee and guide the Data and Analytics Support Desk function, offering both technical leadership and daily support to analysts and team members.

• Function as a player-coach, actively engaging in intricate support cases while mentoring and enhancing team capabilities.

• Act as a senior escalation point for complex SQL, ETL/ELT, data warehouse, and BI-related challenges.

• Ensure high-quality resolution of complex data platform issues, maintaining rigorous technical standards across all tasks.

• Mentor team members to enhance technical skills, improve troubleshooting methods, and foster professional growth.

• Manage the prioritization and triage of critical incidents, ensuring prompt routing and resolution.

• Promote SLA compliance while upholding high standards for technical precision and quality.

• Execute root cause analysis (RCA) on recurring data issues and collaborate with Engineering and Product for structural enhancements.

• Maintain clear, proactive, and technically accurate communication with clients throughout the resolution process.

• Collaborate cross-functionally with Engineering, Product, and Customer Success to tackle systemic platform challenges.

• Recognize trends, risks, and opportunities to enhance platform performance, reliability, and scalability. Work alongside the Head of Support Services to implement structural enhancements and elevate service quality.

• Contribute to documentation, best practices, and knowledge sharing to minimize recurring issues.

• Support operational tools (PagerDuty, Jira, etc.) to ensure effective incident management and reporting.

• Engage in hiring, onboarding, workforce planning, and performance management activities.

• Assume additional responsibilities as assigned.

⛳️ Requirements

• Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related discipline.

• 8-10+ years of experience in data, analytics, or BI platform environments.

• Proven experience in leading or mentoring technical teams within data or analytics functions.

• Strong customer-facing abilities with the capacity to articulate technical concepts clearly.

• Advanced SQL skills (including complex joins, CTEs, query optimization, and performance tuning).

• Hands-on experience troubleshooting ETL/ELT pipelines using SQL and/or Python.

• Familiarity with modern cloud data warehouses (Snowflake preferred; Databricks or Redshift also acceptable).

• Experience working in AWS environments.

• Proficiency with dbt.

• Strong analytical skills and a structured problem-solving mindset in complex data settings.

• Ability to balance leadership with hands-on technical responsibilities.

• Comfortable challenging architectural decisions and advocating for continual platform improvement.

• Experience performing root cause analysis (RCA) on data issues and collaborating with engineering teams to implement structural solutions.

• Strong relationship-building skills, working effectively with external customers and internal technical and customer success teams.

• Incident management experience in SLA-driven environments.

• Experience in SaaS or managed services models.

• **Preferred Experience**

• AWS certifications (Cloud Practitioner, Developer, or Solutions Architect).

• SnowPro Core Certification.

• Experience in supporting fintech or financial services data environments.

• Familiarity with tools like Jira, PagerDuty, Slack, and Confluence.

• Experience working with or supporting distributed teams (in the US and India).

🏝️ Benefits

• A flexible remote work policy with optional access to our office in Portland, Maine.

• A 4-day workweek after 3 years of service.

• Generous paid time off, including 11 holidays.

• Medical, disability, life insurance, and optional dental/vision coverage.

• 401(k) retirement plan with company match.

• Training and certification reimbursement.

• Recognition programs for milestones, annual increases in PTO, and more.