Lead Data Analytics Engineer
Posh Group - New York, NY
posted 2 days ago
About the position
POSH enables anyone to become event organizers and build community around their followings, bringing people together in-person to cultivate real-world human connection. Founded by event enthusiasts and college dropouts, we've built the ultimate set of tools for creating, marketing, and selling tickets to live experiences. We are looking for a dynamic and skilled Data Engineer/Analyst to join our team as our first dedicated data hire. This role is crucial for driving our data strategy and expanding our data capabilities. You will be responsible for managing and enhancing our data pipeline, integrating new data sources, maintaining our data infrastructure, and transforming data into actionable insights for the entire organization. As the Lead Data Analytics Engineer, you will handle a wide range of responsibilities, from managing BI tool dashboards to ensuring data security and governance. You will work closely with various teams to meet their data needs, helping to inform strategic decisions and drive growth. Your ability to present data in a clear, digestible manner will be key to our success. The Data Team is located within the Product Team and you will report directly to the CPO, providing a high growth opportunity for you and the future Data Team. This is an in-person position at our New York City office located in the heart of SoHo.
Responsibilities
- Ensuring Robust Database Governance and Management: Lead the creation, implementation, and maintenance of robust database governance practices to ensure data integrity, accuracy, and accessibility across the organization.
- Performing Data Transformation and ETL Processes: Conduct and oversee data transformation and ETL (Extract, Transform, Load) processes to structure data for optimal use in Business Intelligence (BI) tools, ensuring data is ready for analysis and reporting.
- Upholding Data Security Best Practices: Implement and maintain data security protocols and best practices to protect sensitive information and comply with relevant regulations and standards.
- Managing Pipeline of Team-Wide Data Insight Inquiries: Oversee and prioritize data insight inquiries from various teams, ensuring timely and accurate delivery of insights to inform decision-making across the organization.
- Overseeing and Maintaining BI Tool Dashboards: Lead the development, management, and maintenance of BI tool dashboards to provide clear and actionable insights to stakeholders.
- Utilizing Python and SQL for Data Manipulation and Analysis: Employ advanced skills in Python and SQL for data manipulation, analysis, and to support various data-driven initiatives.
- Creating Actionable Presentations / One-Pagers: Develop and deliver clear and concise presentations or one-pagers to effectively communicate complex data insights to key stakeholders and leadership.
- Conducting Build vs. Buy Analyses: Perform thorough analyses to determine whether to build in-house solutions or purchase third-party tools for current and future data pipeline needs, ensuring alignment with business objectives and resource availability.
Requirements
- Possesses 5+ Years of Applied Experience: Has over five years of experience working as a data engineer, analytics engineer, data scientist, analyst or other highly analytical, data-oriented roles, demonstrating a deep understanding and practical application of analytical skills.
- Has a Background in Startups: Exhibits high interest in startups and fast-paced environments and is always looking for ways to improve.
- Has Experience with Predictive Modeling: Has hands-on experience developing and implementing predictive models, using data to forecast trends, identify opportunities, and support strategic decision-making.
- Exhibits Strong Database Governance and Management Skills: Demonstrates expertise in database governance and management, ensuring data integrity, accuracy, and accessibility across various systems.
- Understands Data Security Principles: Has a thorough understanding of data security principles and best practices, ensuring the protection of sensitive information and compliance with relevant regulations.
- Creates Concise and Informative Data Presentations: Skilled in creating clear, concise, and informative data presentations, effectively communicating complex insights to key stakeholders and leadership.
- Highly Organized, Proactive, and Efficient: Is highly organized, proactive, and able to manage multiple projects simultaneously. Capable of prioritizing tasks effectively to meet deadlines, ensuring efficient and timely completion of projects.
Benefits
- Health & Dental Insurance
- Equinox Membership
- Unlimited PTO
- Team Events, Dinners, & Offsites, Free Event Tickets to Top POSH Events
- New Macbook
- Daily Uber Eats Credit
