Marketing Data Operations Sr. Specialist
Mexico-Moncayo
Nasdaq
Get the latest stock market news, stock information & quotes, data analysis reports, as well as a general overview of the market landscape from Nasdaq.Primary Responsibilities:
Data Quality Assurance: Ensure the accuracy, completeness, and reliability of data across all marketing analytics platforms by monitoring data input and troubleshooting data discrepancies. Implement and maintain data quality checks and balances.
Data Improvement: Continuously assess and develop solutions to improve processes related to Marketing systems such as data collection, analysis, and reporting.
BI Platform Integration and Management: Support the integration of marketing platforms and development of data models to enable comprehensive and actionable marketing analytics
Website Data Layer Management: Collaborate with web development teams to implement and maintain a reliable website data layer for tracking user behavior
Create User Stories: Craft and refine user stories and epics that are central with strategic Marketing objectives
Testing and QA: Develop and run detailed test cases based on requirements and user stories to identify bugs and issues to ensure smooth product feature rollout
Requirements Gathering: Collaborate with business stakeholders to gather requirements needed to optimize and improve analytics platforms and translate the requirements into clear actionable user stories across Marketing systems
Documentation and Training: Develop and maintain comprehensive documentation for Marketing analytics platforms and processes. Deliver tailored training to ensure that users are proficient in understanding the data and related marketing technology stack and the data that it produces.
Marketing Backlog Prioritization: Manage Marketing backlog, prioritize items based on their business impact, and guide projects through the development cycle.
Performance and Optimization: Identify areas for improvement and optimization for marketing reporting tools, such as custom fields, custom objects, page layouts, and processes. Collaborate with relevant teams to implement enhancements and resolve issues.
Collaboration with Technology Team: Serve as the liaison between the Marketing and CRM teams to ensure that the source systems align with Marketing goals and objectives.
Required Qualifications:
5 years of experience in marketing data operations or a similar role with a strong background in process improvement, managing technical integrations, and data analysis
Proficiency in data visualization tools like Power BI, Tableau, or similar platforms
Preferred Qualifications:
Knowledge of SQL for querying and managing databases
Experience with web analytics tools (e.g., Google Analytics, Adobe Analytics), tag management systems (e.g., Google Tag Manager), and website data layers, Salesforce and Marketo Measure
Strong understanding of marketing performance metrics, attribution models, and data-driven campaign optimization
Excellent analytical and problem-solving skills with attention to detail
Ability to communicate technical insights effectively to non-technical stakeholders
Understanding marketing funnel, customer journey mapping, and campaign tracking
Strong project management skills with the ability to manage multiple initiatives and meet deadlines
Come as You Are
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis DataOps Data pipelines Data quality Data visualization ETL Marketo Pipelines Power BI Salesforce SQL Tableau Testing
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