Head of Analytics & Data Science

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Job Description

Job Description:

● Create a robust data architecture incorporating cutting-edge concepts and technologies

● Bring the organizational vision to life through the formulation and execution of both short-term and long-term data strategies

● Collaborate with IT teams to develop a comprehensive data roadmap, focusing on platform selection and utilization

● Guide the team by establishing a clear plan for implementing data engineering best practices, fostering data engineering expertise, and supporting professional growth within the organization

● Take charge as a leader, mentor, and collaborator for a dynamic team of Data Engineers, Data Scientists, and Data Analysts, providing guidance and coaching to facilitate their development and success

● Generate regular automated reports and dashboards to provide visibility into Brick & Mortar and Ecommerce performance, identify trends, and make data-driven recommendations for improvement

● Preparation of data requests

● Preparation and enrichment of data from a variety of sources

● Data quality assessment

● Development of rules-based or statistical and impact analyses

● Development of executive-level reports and dashboards

Personal Specific Criteria:

Base Requirement:

  • Bachelor’s degree or equivalent experience
  • 5+ years of relevant experience with Digital analytics. Related experience in eCommerce is a must.
  • 4+ years of experience managing and building a team

Job-Specific Skills:

  • Advanced knowledge with GA4 data and custom event tracking abilities. You know when to pull in a tag implementation expert to improve the data captured in analytics tools
  • Prior experience with Customer Journey Analysis or Conversion Rate Optimization could be a plus
  • Solid project management skills to get the job done. You could set project plans, oversee project resources, meet deadlines and delegate tasks
  • Proactive by nature and energized by new challenges that come your way; you are used to rolling up your sleeves with a cross-functional team to brainstorm and execute on new ideas
  • Strong data manipulation and analysis skills (e.g. SQL, R, Python, Hive, SAS, Big Query)
  • Experience with industry standard RDMS (eg. Oracle, MSSQL, PostgreSQL)
  • Database design and development (ie. Microsoft SQL Server or IBM DB2)
  • Data loading and ETL solutions (ie. Microsoft SSIS or Informatica )
  • Reporting and data visualization tools (eg. Microsoft SSRS, Tableau, Power BI, Qlikview, D3)
  • Scripting or programming experience (eg. C#, Scala, Java, Python).

Behavioral Competencies

  • Self-Starter
  • Strategic thinker and ability to see the big picture with an innovative mind-set
  • Strong attention to detail, proactive and flexible approach with ability to multi-task
  • Ability to work effectively under pressure and meet established deadlines
  • Ambitious, resilient and driven, with the desire to succeed
  • A team player capable of working cross-functionally in a collaborative manner and influence without authority
  • Results-orientated, with the ability to drive and deliver the implementation of new ideas
  • Excellent presentation, time management and delivery skills