Harrison and Star

Marketing Science Lead

Harrison and Star$90K — $120K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data science and analytics roles.
  • Strong expertise in database design and modeling for data architecture.
  • Proficient in SQL and data storage solutions, preferably cloud-based.
  • Experience with digital analytics tools like Adobe Analytics or Google Analytics.
  • Knowledge of data engineering best practices and ETL processes.
  • Understanding of various digital media channels and their interactions.
  • Excellent communication skills, capable of explaining complex concepts simply.

Responsibilities

  • Ensure effective measurement of cross-channel marketing activations.
  • Mentor and guide a team of data engineers in technical skills and career development.
  • Implement frameworks to optimize data delivery and eliminate manual processes.
  • Collaborate with clients to understand and meet their data needs.
  • Maintain data consistency and accuracy in the data warehouse.
  • Support data governance and manage data quality issues.
  • Drive team collaboration to enhance project delivery and innovation.

Benefits

  • Opportunity for career growth and team mentoring.
  • Exposure to a wide range of data science and analytics initiatives.
  • Dynamic work environment with cross-functional collaboration.
  • Focus on continuous learning and upskilling.
  • In-office work policy fostering team connectivity.
Full 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.

About Harrison and Star

Harrison and Star is a healthcare advertising agency that provides marketing and advertising services to pharmaceutical and biotechnology companies. The company offers a range of services including brand strategy, creative development, digital marketing, and market research. Harrison and Star was founded in 1986 and is headquartered in New York, New York.
Learn more about Harrison and Star
Size
500 employees
Industry
Founded
1986
NASDAQ

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