The Offer
- Join a well known brand within IT Services
- Great work environment
- Attractive salary & benefits
The Employer
Our client is an independent data analytics consultancy. We provide C-suite executives and start-up Founders with industry-leading digital marketing and data analytics solutions.
Responsibilities
- You'll be working with our existing and new clients to create bespoke digital analytics measurement strategies.
- You will supervise, review and QA tagging implementation, maintenance and troubleshooting of technical analytics audits and custom implementation. You should be an expert in this area.
- You will be an expert in at least one Tag Management System, will have demonstrable experience using JavaScript for advanced tag management and a solid understanding of data layer implementation best practices.
- You will approach tasks logically and be capable of communicating pros & cons of potential technical solutions with relevant parties before implementing the most optimal approach.
- Work collaboratively with our team of analytics consultants, data scientists, data analysts, and product.
- Identify new business opportunities and develop solutions that balance impact, cost, resourcing and timelines.
- Develop and prioritize analytics development pipelines and project roadmaps.
- Effectively communicate project status and results with various levels of the organization and shift rapidly between communication styles.
The Profile
Qualifications And Requirements
- 5+ years minimum of technical and product experience with Google Analytics.
- Experience leading successful, high-impact technical projects.
- Strong interpersonal skills with the ability to connect with individuals at all levels and develop partnerships.
- Proven ability to inspire change through the positive influence of co-workers, leadership, and business partners.
- Proven track record in creating and delivering effective executive communication.
- Experience crafting product roadmap(s) from conception to launch, driving product vision and leading design discussions.
- Data science or machine learning experience is a plus.
- Self-motivated and thrives in a fast-paced environment.
- Comfortable working in a constantly evolving environment where ambiguity and short turnaround schedules are the norm.
