Senior Engineering Manager, Data Analytics – Data & AI

Vaga não está no LinkedIn

🕒 Janeiro 23

🦬 Wyoming – Remoto

🦬 Wyoming – Remote

💵 $146.000 - $277.000 / ano

⏰ Tempo Integral

🟠 Sênior

👮‍♀️ Gerente de Engenharia de Software

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Kraken Digital Asset Exchange

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2011

₿ Cripto

💸 Finanças

💳 Fintech

Crypto • Finance • Fintech

Kraken Digital Asset Exchange é uma plataforma de criptomoedas que facilita a compra e venda de mais de 200 criptomoedas, incluindo Bitcoin, Ethereum e muitas outras. Fundada em 2011, a Kraken oferece um conjunto abrangente de recursos para traders iniciantes e avançados, como interfaces avançadas de trading e negociação com margem. A plataforma enfatiza segurança líder do setor, alta liquidez e suporte ao cliente 24/7, tornando-se uma escolha confiável para usuários no mundo todo. A Kraken atende tanto investidores individuais quanto clientes institucionais, oferecendo serviços como negociação de balcão (OTC) e custódia. A empresa é comprometida com a transparência por meio de sua prova de reservas e de valores orientados pela missão. A Kraken opera globalmente, atendendo clientes em mais de 190 países, com volume de negociação trimestral superior a US$ 207 bilhões. No entanto, os usuários devem estar cientes do alto risco dos investimentos em criptomoedas e da falta de regulamentação em algumas jurisdições.

Descrição

• Drive decision making in building cutting-edge products. • Transform large datasets from complex systems, generate actionable insights, and share the results with stakeholders at all levels of the company. • Partner and lead projects with product management, engineering, client engagement, finance, and other enterprise level teams. • Build out analytics and management report dashboards by collaborating closely with directors and cross functional teams to infuse analytics insights into major business priorities and enable data driven decisions. • Partner closely with data engineering and enterprise systems team to define, plan, implement, and support the data infrastructure. • Lead the definition of data requirements and controls to enable the integrity of the company’s analytics and management reporting. • Drive projects and initiatives for assessment of current data and process infrastructure to support team objects. • Support data analysis and reporting requirements, building and maintaining knowledge repository and technical documentation libraries for data lake and reporting. • Run standup, workgroup meetings, identifying action items and addressing blockers to keep projects on track.

🎯 Requisitos

• Master’s degree or the equivalent in Computer Science, Management Information Systems, or a related field plus 8 years of experience in data analytics or related experience. • Experience with Data pipelines, ETL/ELT, data warehousing, and orchestration tools; BI tools (Tableau, Looker or similar); • Data platforms such as Snowflake, Big Query, Redshift; and observability and experiment platforms; • Statistics experimentation (A/B testing), modeling techniques and casual inference; • Languages such as Python, SQL, Scala, or Java for data systems; • Hiring a technical team, including providing feedback and mentoring for career growth; • Translating business problems into technical plans; • Driving strategy for data products and platforms, such as self-serve analytics; • Balancing long-term tech investments with short-term business needs; • Agile or hybrid methods tailored to analytics projects; • Working with product and business leaders to define KPIs, dashboards, and success metrics for product performance; • Aligning data strategy with company and product goals; • Driving data quality, engineering best practices, and scalable systems.

🏖️ Benefícios

• Offers Equity • Offers Bonus