Marketing Data Operations Analyst- US, East Coast

Description Department:

AI & Data Science

AMER - Flexible Locations

Marketing Data Operations Analyst

US, East Coast

6-month contract, with extension opportunities

Algomarketing are experts at delivering programs and resourcing for strategic roles within Marketing teams. We are a global team of Marketing experts, spanning 30 countries across Asia Pacific, the Americas, Africa, and Europe. Highly experienced in enterprise B2B Marketing, and specialized in technology and SaaS.

Our team works collaboratively, with experience from the world's largest and most ambitious brands, including Google, Stripe, Workday, Worldpay, Accenture, ACI Worldwide, GSK, and Allianz.

We empower Marketers through Algorithmic Marketing, a data-driven approach that delivers deeper insights, faster execution, and streamlined operations.

Visit our website to read more about us.

The Marketing Data Operations Team covers the management and maintenance of the infrastructure that provides the Marketing Database for the organization. This also involves the processes and procedures used to collect, ingest, process, store, analyse and distribute data effectively and efficiently for Enterprise Marketing.

Reporting into the Senior Manager, Marketing Data Operations, the role of the Marketing Data Operations Analyst leverages data to drive effective marketing campaigns through segmentation, audience creation and database management. The Marketing Data Operations Analyst plays a critical role in collaborating with marketing teams to understand priorities and ensures alignment between data strategies and regional objectives. This role manages and enhances the marketing database's integrity, develops targeted audience segments, and creates innovative segmentation strategies for email campaigns.

• Apply best practices to uphold high standards of data quality, facilitating precise audience segmentation, reporting and analysis.
• Leading the continuous efforts to look for ways to improve data quality within the database to maximise marketable audiences and database utilisation.
• Create, manage and develop audiences and segmentation models for improved audience targeting.
• Gathering marketer requirements to build effective audience lists for marketing campaigns.
• Leading the charge to proactively create and maintain communication with the marketing team to define audience criteria, ensuring alignment with regional priorities and effective segmentation.
• Drive collaboration with marketers to create and test new audience segments, presenting ideas and solutions to enhance database performance and drive engagement.
• Provide ongoing sessions with the marketing team to help improve understanding and best utilisation of Zooms marketing database.
• Owning the responsibility to ensure compliance with privacy laws (e.g. GDPR) and internal opt-in requirements for both new data and data stored in the database.
• Collaborating with the Data Operations Team, as well as our wider Marketing Ops and cross-functional IT and data teams to ensure that the marketing database in our Data Warehouse platform remains up-to-date and aligned with organisational needs.
• Support in the processing and management of incoming lead data, ensuring the accurate classification of data.

• Ideally has a Bachelor's degree in a technology or computer science-related subject.
• 5+ years of related experience working with large-scale databases that focus on both B2C/B2B data.
• Very strong knowledge of marketing data, tools, and technologies, including CRM systems, CDP/SCV, marketing automation platforms, data warehouses, and dashboard/reporting tools.
• Very strong expertise in data analysis, reporting and strong proficiency in SQL or equivalent.
• Very strong attention to detail and analytical mindset, with an ability to turn data into actionable insights.
• Excellent communication skills to collaborate with cross-functional teams and key stakeholders, with an ability to explain complex technical concepts to non-technical stakeholders.
• Problem-solving mindset with attention to detail, and can work independently and take initiative.

• Apply best practices to uphold high standards of data quality, facilitating precise audience segmentation, reporting and analysis.
• Leading the continuous efforts to look for ways to improve data quality within the database to maximise marketable audiences and database utilisation.
• Create, manage and develop…