Marketing Operations Analyst

Cloud-

61d•Remote

About The Position

Join our dynamic Operations team as we empower our visionary and ever-evolving Marketing organization through data-driven insights and operational excellence across all functions, including campaigns, learning and enablement, social listening, and more. We're seeking a motivated and detail-oriented individual with a passion for analytics to be a key contributor in driving business planning and effectiveness. As a vital partner to the Marketing team, you'll play a crucial role in monitoring performance, informing strategic adjustments, and fostering a data-driven culture by providing expertise and championing data literacy.

Requirements

Proficiency in the usage, configuration, and management of:
Data visualization and reporting tools (e.g., Tableau, Power BI, Looker Studio).
Analytics tools (e.g., GA4, Adobe Analytics, etc.).
Tag management systems (e.g., Google Tag Manager, etc.).
Data querying and manipulation tools (e.g., SQL).
Demonstrated ability to analyze complex data sets and identify trends and insights.
Experience with data modeling and/or ETL processes.
Proven ability to formulate and test data-driven hypotheses.
Strong proficiency in the development of data-driven narratives.
Excellent communication skills to clearly articulate information and ability to build compelling presentations and reports to clearly convey complex information.
Proficiency in Google Suite and Microsoft Office.
Statistical knowledge (e.g., understanding of statistical significance, correlation vs. causation, etc.) and a solid understanding of principles and methodologies relevant to marketing analysis (e.g. A/B testing, regression analysis, segmentation).
Ability to build effective relationships with key business stakeholders and form productive partnerships with collaborators, including the ability to translate technical findings to non-technical audiences.
Strong problem-solving and critical-thinking skills.
Excellent organizational and time-management skills, with the ability to prioritize and manage multiple projects.
Intellectual curiosity and a passion for uncovering insights from data.
8+ years of experience in marketing analytics or a closely related role focused on data-driven decision making.
Master's degree in a relevant field (e.g., Marketing, Business Analytics, Statistics, Economics) or equivalent demonstrable experience and a strong portfolio of data-driven marketing analysis.

Nice To Haves

Awareness of data privacy regulations (e.g., GDPR, CCPA) and data governance practices.
Project management skills.
Experience with specific platforms relevant to marketing (e.g., Salesforce, Oracle, Eloqua, BigTinCan, HighTouch).

Responsibilities

Interact with and analyze data from various sources and platforms relevant to Marketing (e.g., campaign automation, CRM, data warehouse, CDP, LMS/CMS, 3rd party data, social listening), with the ability to connect and synthesize insights across these diverse datasets.
Translate data into actionable insights and recommendations that help to drive business outcomes.
Collaborate with various teams and stakeholders to define and refine measurement and evaluation strategies for Marketing activities, such as:
Campaign Optimization: Analyze website content engagement metrics and campaign ROI to identify top-performing assets and optimize messaging strategies for increased conversion and engagement.
Learning & Enablement Effectiveness: Evaluate learning path architecture and training/enablement content engagement to ensure they are driving targeted business outcomes and learner success, while establishing auditing cycles for content relevance.
Social Intelligence: Analyze social listening data to understand audience sentiment, identify trends, and inform marketing strategies and content creation.
Assist and coach others in the analysis of data and development of insights and narratives and foster a data-informed decision-making culture within the Marketing team.
Implement and maintain event tracking using analytics tools, ensuring data accuracy and completeness.
Use data tools for manual import/export.
Develop and maintain reports and dashboards.
Help ensure the health of multiple databases during platform implementations, migrations, etc. by developing and implementing data quality checks and monitoring processes.
Deliver high-value outcomes while participating in problem-solving, such as:
Work with data limitations and find creative solutions to extract meaningful insights.
Proactively identify and address data tracking gaps, while improving data quality.
Work through the challenges of current platform limitations, while understanding the platform's future state.
Proactively identify opportunities for data-driven improvements across marketing functions.