Head of Analytics
5 months ago
**Purpose**:
We are looking for a highly motivated and self-driven individual to lead GMG Sports Retail & Ecommerce Data Science & Analytics department
The opportunity revolves around 3 main pillars, Data Engineering, BI and Analytics and will require to build the solid foundation required for a reliable, sustainable and scalable Data science & Analytics department.
From Supply chain, to customer data (single view of customer) to actionable brick & mortar and ecommerce insights, you will be given the tools and resources to make a difference in a multi-billion sports retail & ecommerce organization
The role requires a deep understanding of Customer Data, Ecommerce lever of growth, brick & mortar ins and outs.
You live and breathe, Microsoft Azure, Redshift, Customer Data platforms, Google Analytics 4, Power BI, Tableau, Microsoft SQL Server, Python, R and are not afraid to make bold decision having real long lasting effects?
Join us
- 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
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