נראה שהמשרה פורסמה לפני 5 חודשים ואולי כבר לא רלוונטית.

Data Lead

לפני 5 חודשים
משרה מלאהמרכז (תל אביב)
5+ שנות ניסיון
בקטגורייתData Science

תיאור המשרה

Description

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.
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