Data Lead

Growthspace is seeking an experienced and dynamic Data Lead to join our team. The ideal candidate will have a proven track record of managing data teams while remaining deeply hands-on with data analysis, modeling, and engineering. As the Data Lead, you will be responsible for shaping and driving our data strategy, ensuring data quality, and enabling data-driven decision-making across the company.

Responsibilities:

Develop and implement the company’s data strategy, ensuring alignment with business goals and objectives.
Manage, mentor, and develop a small team of data professionals, fostering a culture of collaboration and continuous learning.
Dive deep into data analysis, data modeling, and data engineering tasks to extract insights, build models, and develop data pipelines.
Establish and enforce data quality standards, ensuring accuracy, consistency, and reliability of data across all systems.
Work closely with cross-functional teams including Product, Engineering, Marketing, and Sales to identify and meet their data needs.
Design and maintain scalable data infrastructure and architecture to support current and future data needs.
Oversee the creation of dashboards, reports, and data visualizations to help stakeholders make informed decisions.
Communicate effectively with senior management and other stakeholders to present findings, recommend strategies, and influence data-driven decisions.
Stay up-to-date with the latest data technologies, tools, and industry trends to continuously improve our data capabilities.

Requirements:

5+ years of experience in data roles in a SaaS or tech environment.
At least 2 years in a leadership or managerial position with proven ability to lead and motivate a team, with a focus on growth and development.
Excellent knowledge in Snowflake (MUST), SQL, Tableau, Python/R, data modeling, ETL processes, and data warehousing solutions.
Experience with cloud platforms like AWS, GCP, or Azure.
Familiar with Product Analytics platforms such as: Mixpanel, Google Analytics etc.
Strong ability to work hands-on with data, from analysis to implementation of complex data solutions.
Excellent problem-solving skills and the ability to translate complex data into actionable insights.
Strong English communication skills, with the ability to present data insights to both technical and non-technical audiences.
Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field. Advanced degrees are a plus.