Areas of responsibilities:
- Data Management (integrity, business intelligence, and performance)
- Project Management (Data)
Take ownership by:
- Owning the health and quality of Product, Customer, Internal Company, and revenue data.
- Data platform design and solution engineering.
- Partner with strategic decision-makers in the organization, influence decision-making, and lead meetings.
- Lead projects maintaining responsibility for data analysis, implementation, training and improving processes using data-driven decisions and standardizing processes where applicable.
- Understand business processes, the flow of data within and between processes, and recommend process improvements for better data quality and effectiveness.
- Manage all technical operations at the system level to maintain the integrity of the operating environments and assure quality and consistency of all services to end-users.
- Enhance overall productivity by enabling the team to work smarter by applying lean methodology, simplifying processes, and evaluating tools.
- Ensure quality of CRM (Hubspot) data and operations.
- Create and maintain documentation on data-related processes and policies
- Lead the development and implementation of data strategies, processes, and best practices to ensure the effective collection, storage, and analysis of product data.
- Collaborate with cross-functional teams to define data requirements, prioritize initiatives, and drive alignment on data-related projects and objectives.
- Manage end-to-end data projects, from conception to execution, including scoping, planning, resource allocation, tracking, and reporting.
- Conduct in-depth analysis of product data to uncover actionable insights, trends, and opportunities for optimization and innovation.
- Develop and maintain key performance indicators (KPIs) and dashboards to track data quality, accuracy, and utilization.
- Build and lead a team of data analysts, scientists, and engineers, providing guidance, support, and expertise to foster professional growth and development.
Job requirements:
- More than 5 years experience in a data-focused role, with a strong emphasis on data engineering, analysis, big data, and project management.
- Extensive Amazon Web Services and/or Azure experience.
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related field; advanced degree preferred.
- Ability to manage multiple priorities and tasks; proven strong organizational and project management (time/budget) skills in a fast-paced and complex environment.
- Excellent communication, listening, time management, and presentation skills; you truly enjoy telling the story behind data. Ability to coach technical and non-technical staff.
- Comfortable liaising and influencing at all levels with both technical and non-technical stakeholders. Strong attention to detail and the ability to identify and resolve errors calmly and effectively, even under pressure.
- Advanced spreadsheet skills with a strong understanding of Zendesk Sell or other CRM applications.
- Deep understanding of data management principles, techniques, and technologies, including data modeling, warehousing, ETL, SQL, and NoSQL databases.
- Experience in managing data technology stack: AWS, Azure, Databricks, Apache Airflow, Snowplow.
- You’re honest, driven, and passionate about getting results and helping people.
- Experience with SaaS products is a plus.
What can you expect from us?
- Competitive, market-related compensation
- Twenty-five vacation days per year and your National Holidays off.
- A contract of indefinite duration.
- Work from anywhere you desire.
- A monthly shared office space/coworking allowance.
- A one-time home office setup stipend.
- A top-of-the-line MacBook.
- Monthly wellness allowance to stay healthy while working remotely.
- Annual retreats in some of the greatest cities in the world.
- Free books in Kindle and Audible store.
- We'll challenge and support each other through 1-1 sessions to get the most out of your and our potential.
Interested?? Apply through Data Lead