Senior Manager, Data Analytics

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

📋 Description

• Oversee the design and implementation of automated data pipelines, best practices for data analytics, database architecture, and strategic insights.

• Lead and cultivate a team that encompasses data engineering, business intelligence, and analysis.

• Take responsibility for the operational integrity of the team's data integration infrastructure.

• Collaborate with Sales, Marketing, Operations, and Risk teams to enhance customer acquisition, onboarding, customer service, and fraud detection efforts.

• Guide, inspire, coach, and support data engineers, business intelligence engineers, and business intelligence architects.

• Provide and sustain data services, interfaces, and real-time data pipelines.

• Implement CI/CD and GitHub practices for data pipelines, mentoring the team towards advanced version-control and deployment workflows.

• Engage with business and technology stakeholders to define future capabilities and requirements, converting them into detailed designs.

• Maintain analytics and data integration platforms in collaboration with the internal cloud team.

• Oversee the maintenance of integration infrastructure, including managing services and conducting platform upgrades on Ubuntu servers.

• Work with platform architects to assess the current environment, identify shortcomings, and suggest enhancements.

• Report team achievements to leadership using KPIs and other metrics.

• Develop a long-term vision and technical architecture along with short-term objectives for the enterprise data platform.

⛳️ Requirements

• A Bachelor’s degree in a relevant field or equivalent professional experience.

• Over 7 years of experience in data engineering, business intelligence, or a similar domain.

• More than 4 years of hands-on management experience, with a history of hiring, developing teams, and providing coaching and mentorship.

• Outstanding leadership abilities, with a demonstrated capacity to thrive in a fast-paced environment.

• Practical approach to addressing gaps in data infrastructure and executing technical solutions.

• Proficient in SQL coding and knowledgeable in ETL solutions, specifically Informatica IICS and Qlik Replicate.

• Prior exposure to Snowflake, AWS, Qlik Replicate, Informatica IICS, and HubSpot.

• Please note that sponsorship is not available for this position at this time.

🏝️ Benefits

• Medical, Dental, & Vision Coverage

• Flexible Paid Time Off

• 401(k) + Match

• Mental Health Support & Well-Being Program

• Paid Maternity & Paternity Leave

• Education Assistance

• Company-funded Lifestyle Spending Account