Lead Analyst

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🕒 Junho 9

🦞 Maine – Remoto

🦞 Maine – Remote

💵 $95.000 - $125.000 / ano

⏰ Tempo Integral

🟠 Sênior

🧐 Analista

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Arkatechture

SiteLinkedInTodas as Vagas

51 - 200 funcionários

☁️ SaaS

💰 Venture Round em 2022-02

Analytics • Consulting • SaaS

Arkatechture é uma empresa especializada em serviços de análise de dados. Ela oferece um conjunto abrangente de soluções de análise, incluindo Arkalytics, uma plataforma de data warehouse SaaS projetada para implantação rápida. A Arkatechture faz parcerias com empresas para desenvolver e executar sua estratégia de dados, fornecendo serviços como gerenciamento de dados, inteligência de negócios, análises preditivas e consultoria Tableau. Atuando em indústrias como cooperativas de crédito e bancos comunitários, a Arkatechture se concentra em melhorar a tomada de decisões baseadas em dados e aumentar o ROI através de painéis personalizados, relatórios e modelos preditivos. Sua equipe de especialistas oferece serviços gerenciados e consultoria profissional para apoiar organizações na construção e manutenção de ecossistemas eficazes de análise de dados.

Descrição

• Lead and support the Data and Analytics Support Desk function, providing both technical leadership and day-to-day guidance to analysts and team members • Act as a player-coach, maintaining hands-on involvement in complex support cases while mentoring and developing the team • Serve as a senior escalation point for advanced SQL, ETL/ELT, data warehouse, and BI-related issues • Drive high-quality resolution of complex data platform issues, ensuring strong technical standards across all work • Coach and mentor team members to deepen technical expertise, improve troubleshooting approaches, and grow professionally • Own prioritization and triage of high-impact incidents, ensuring efficient routing and resolution • Drive SLA adherence while maintaining a high bar for technical accuracy and quality • Conduct root cause analysis (RCA) on recurring data defects and partner with Engineering and Product on structural improvements • Ensure clear, proactive, and technically sound communication with clients throughout issue resolution • Partner cross-functionally with Engineering, Product, and Customer Success to address systemic platform issues • Identify trends, risks, and opportunities to improve platform performance, reliability, and scalability. Partner with the Head of Support Services to implement structural improvements and elevate service quality. • Contribute to documentation, best practices, and knowledge sharing to reduce recurring issues • Support operational tooling (PagerDuty, Jira, etc.) to ensure effective incident management and reporting • Participate in hiring, onboarding, workforce planning, and performance management. • Additional responsibilities as assigned.

🎯 Requisitos

• Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field. • 8-10+ years of experience in data, analytics, or BI platform environments • Experience leading or mentoring technical teams within data or analytics functions • Strong customer-facing experience with the ability to communicate technical concepts clearly • Advanced SQL expertise (complex joins, CTEs, query optimization, performance tuning) • Hands-on experience debugging ETL/ELT pipelines using SQL and/or Python • Experience with modern cloud data warehouses (Snowflake preferred; Databricks, Redshift acceptable) • Experience working within AWS environments • Experience with dbt • Strong analytical thinking and structured problem-solving approach in complex data environments • Ability to balance people leadership with hands-on technical ownership • Comfortable challenging architectural decisions and driving continuous platform improvement • Experience conducting root cause analysis (RCA) on data defects and partnering with engineering teams to implement structural fixes. • Demonstrated relationship skills. Works seamlessly externally (customers) and internally (Technical and customer success teams) • Incident management experience for SLA driven environments • Experience in SaaS or managed services models • **Preferred Experience ** • AWS certifications (Cloud Practitioner, Developer, or Solutions Architect) • SnowPro Core Certification • Experience supporting fintech or financial services data environments • Familiarity with tools such as Jira, PagerDuty, Slack, and Confluence • Experience working with or supporting distributed teams (US and India)

🏖️ Benefícios

• A flexible remote work policy with optional access to our Portland, Maine office • A 4-day workweek after 3 years of service • Generous paid time off, including 11 holidays • Medical, disability, life insurance, and optional dental/vision • 401(k) retirement plan with company match • Training & certification reimbursement • Milestone recognition programs, annual PTO increases, and more