DevJobs

Head of Data

Overview
Skills
  • SQL SQL
  • Scala Scala
  • Python Python
  • CI/CD CI/CD
  • Snowflake Snowflake
  • Data Governance ꞏ 5y
  • Data Management ꞏ 5y
  • Data Quality ꞏ 5y
  • Data Analysis ꞏ 5y
  • Data Architectures
  • Data Visualization Tools
  • Databricks
  • ELT
  • ETL
  • Pipelines
  • Redshift
  • Code Management
  • BigQuery
Faye is seeking an experienced Head of Data with a minimum of 5-6 years hands-on experience in building and managing data teams and infrastructure. As the Head of Data, you will play a central role in driving data-driven decision making within the company. Your expertise in data analysis and strong leadership skills will be crucial in guiding our organization towards achieving its goals and objectives.

Responsibilities:

  • Designing and executing the company's data strategy and roadmap, including data governance, data quality, and data management.
  • Determine relevant business metrics, analytics, and questions and seek to provide relevant and actionable insights.
  • Ensure accurate and timely reporting on key areas of the business, including: product adoption and analytics, and growth/sales performance.
  • Promote data literacy within the organization.
  • Lead, mentor, and manage a team of data analysts, providing guidance, direction, and support in their day-to-day activities including hands-on work.
  • Design, build, and maintain a robust data infrastructure.
  • Develop deep partnerships with engineering and product teams to deliver on major cross-functional projects.

Requirements:

  • Bachelor’s degree in Engineering, Mathematics, Science or a related field (or equivalent work experience).
  • Excellent communication skills, including primary or native fluency in English.
  • Minimum of 5-6 years of professional experience in either data engineering or analysis.
  • Experience in a management or leadership role.
  • Experience with data visualization tools like Tableau, Qlik, or Power BI.
  • Excellent problem-solving skills and ability to troubleshoot complex issues in a fast-paced environment.
  • Experience with CI/CD, data architectures, pipelines, quality, and code management
  • Experience with ETL and ELT processes.
  • Experience with common data languages (e.g. Python, Scala), SQL, and data warehouses (e.g. Redshift, BigQuery, Snowflake, Databricks).
Faye