At a glance
Automatically prepared from the listing. Check the original description for the full requirements.
Jump to the original descriptionResponsibilities
The lead is responsible for designing and maintaining data architecture to ensure robust measurement of cross-channel marketing activations. They will mentor a team of data engineers and collaborate with stakeholders to optimize data delivery and eliminate manual processes.
Requirements
Candidates must have expertise in database design, ETL processes, and cloud-based systems like Redshift, along with proficiency in Python and SQL. Experience with web analytics platforms and a strong understanding of digital media channels are also required.
Working hours
40 hours per week
Skills
- Data Architecture
- ETL Processes
- SQL
- Python
- Redshift
- Adobe Analytics
- Google Analytics
- Data Visualization
- API Integration
- Database Design
- Data Governance
- Project Management
- Digital Marketing Measurement
- Data Engineering
- Stakeholder Management
- Data Modeling
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Marketing
- Engineering
- Management & Leadership
- Consulting
Keywords
- Marketing Science
- Data Science
- Data Analytics
- ETL
- SQL
- Python
- Redshift
- Adobe Analytics
- Google Analytics
- API
- Data Lineage
- Data Governance
- Data Warehouse
- Digital Media
- SEM
- SEO
- OLV
- Data Architecture
- Data Modeling
- Automation
- Digital Marketing
- Cross-channel Measurement
- Data Engineering
- Metadata Management
- Cloud-based Systems
Original job description
Agency
Critical Mass
Job Function
Data and Analytics
Job Subfunction
Data Science and Analytics
Job Description
As a Marketing Science Lead, your curiosity never ends. You will be responsible for ensuring clean, robust measurement of cross-channel marketing activations. You have experience working with digital analytics tools. In this role, you will work with other Marketing Science team members as well as cross-functional teams to support a variety of digital marketing measurement initiatives. Collaborating with multidisciplinary teams, you identify, prioritize, and address clients’ business needs. You’re a rock star in sub-disciplines of Marketing Science - tracking and measurement, data visualization, testing and evaluation, with a subject matter expertise in Data Architecture & Integration with a business first approach.
You Will
Work with data to solve business problems, building and maintaining the data architecture to answer business questions and Improve processes.
Build and mentor team of data engineers in scripting, automation, databases, system optimization, providing technical guidance and fostering career development.
Identify, design and implement Internal processes and frameworks for elimination of manual processes, optimizing data delivery, resolving data pipeline bottlenecks and evolving data architecture capabilities.
Collaborate with clients and internal stakeholders to understand their data requirements and support their data infrastructure needs.
Ensuring data consistency and accuracy is maintained within the data warehouse by identifying data quality issues and recommending solutions to handle root causes.
Ensure Data Lineage is maintained and support Data Governance workstream in data quality and metadata management.
Effectively communicate and present complex technical concepts to non-technical audiences.
Develop, maintain and improve Data Engineering services to support sharing of data across different teams.
Creatively solve problems, improve processes, and design methodically.
Drive collaboration within teams to provide support, share skills, and gain insight.
Confidently manage project delivery expectations and communications to project team.
You Have
Database design and modelling experience including experience designing data architectures and infrastructure components.
Experience with ETL processes, data storage and databases (SQL, cloud-based systems) to extract, transform, and analyze data for actionable marketing insights.
Functional understanding of APIs and API data calls
Experience with web analytics platforms (e.g.: Adobe Analytics / Google Analytics).
Understanding of digital media channels (e.g.: Social, SEM, SEO, OLV, etc.) including how each one works and how they interact with one another.
Experience with Redshift, Python, SQL and applying data engineering best practices to data product delivery.
Confidence in your communication and collaboration skills.
Ability to efficiently communicate deliveries and delays of project with follow-ups as needed.
Well-organized approach to working on multiple projects at once.
Passion to always improve your team’s craft through ongoing learning and support.
Strong collaboration, project management, and team building skills.
Ability to distill large quantities of information into clear and concise insights to formulate actionable recommendations.
Proficiency in current issues and trends within the online marketing industry with an emphasis on emerging media and mobile platforms. Toronto: $90,000-$120,000
Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.
Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us - we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.
Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice/
, Toronto: $90,000-$120,000
