Senior Manager Analytics Engineering
Senior Manager Analytics Engineering
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Join our Analytics & AI team as a Senior Manager Analytics Engineering and play a pivotal role in building and scaling our cuttingedge analytical data hub. Youll be at the heart of our datadriven transformation leading a talented team of data engineers and ensuring the smooth and efficient delivery of critical analytics capabilities. You will be responsible for delivering business value on our existing solutions as well as building our new Analytical Data Hub. This key strategic program has just started and aims to consolidate all data and metrics for reporting analytics marketing activation and AI models for the whole company.
This role offers a unique opportunity to blend your passion for people leadership with your technical acumen shaping a collaborative and highperforming team. It is an exciting time to be part of our Business Technology department! As we continue to grow we are investing in cuttingedge analytics solutions that will drive digital commerce operational excellence and AIpowered insights. In this role you will be responsible for leading our Analytics Engineering team ensuring the successful delivery of scalable futureproof analytics solutions that create real business value.
Meet the Team
As a Senior Manager Analytics Engineering you will be part of the Analytics & AI team within Business Technology reporting directly to the Head of Analytics & AI. You will work alongside Reporting and Analytics Managers Data and Domain Architects and key business stakeholders to drive analytics excellence and business enablement. You will also lead and develop a team of highly skilled analytics engineers.
As the Senior Manager Analytics Engineering you will:
- Empower and grow the team: Recruit onboard and develop a highperforming analytics engineering team. Foster an inclusive and collaborative culture while ensuring best practices in scalable analytics organizations.
- Drive operational excellence: Optimize delivery processes manage daily operations and implement effective data governance within analytics. Ensure compliance with financial administration and contract management.
- Build strategic partnerships: Act as the bridge between the analytics team and key stakeholders ensuring alignment between analytics solutions and business needs.
- Enable strategic impact: Present strategic recommendations to leadership measure business value and ensure analytics solutions drive measurable success.
- Champion analytics excellence: Establish best practices advance analytics capabilities and steer the team towards AIdriven predictive analytics solutions.
Qualifications :
You are an experienced and strategic leader with a passion for data and analytics. You thrive in a fastpaced dynamic environment and have a strong ability to drive collaboration across teams. You also have:
- A strong understanding of cloudbased data warehousing (GCP preferred) data transformation (dbt) orchestration (Cloud Composer) and infrastructureascode (Terraform).
- Expertise in data modeling data quality and data warehousing principles.
- Proven experience managing analytics engineering or data teams 5 people) with a strong track record of delivering successful projects.
- Excellent communication skills with the ability to simplify complex technical concepts for diverse audiences.
- Strong analytical and decisionmaking skills with the ability to manage conflicting priorities.
- A business valuedriven mindset with a strong sense of ownership and collaboration.
Success Indicators
- Operational Excellence: Efficient team workflows improved data quality and ontime project delivery.
- Stakeholder Satisfaction: Strong collaboration positive feedback and successful selfservice analytics implementation.
- Strategic Impact: Increased adoption of advanced analytics and measurable contributions to the companys analytics strategy.
- Innovation: Scalable reusable data solutions that drive AI and advanced analytics capabilities.
Location and Working Conditions
While flexible working is available this role requires a strong onsite presence to engage with stakeholders and build connections effectively.
Grow with us and please apply via the website! The next steps are:
- Our recruiter Rene will contact you within 10 working days
- An introductory meeting with a team member and the hiring manager follows
- A second interview where you will give a presentation
- In the event of a positive outcome you will receive a proposal with the terms of employment
Any questions Our recruiter Rene is happy to speak to you via renee.havenaar@rituals. Please note that applications via email are not taken into consideration.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
