Revenue Intelligence Operations Analyst (Marketing)

TL;DR

Revenue Intelligence Operations Analyst (Marketing): Analyze large-scale marketing and customer datasets and build scalable lead ingestion and reporting solutions with an accent on SQL/Python analytics, data validation, and AI-assisted workflow automation. Focus on translating complex data into actionable insights, maintaining dashboards and curated datasets, and collaborating across marketing, analytics, data science, and data engineering.

Company

hirify.global is a data and AI trust company helping organizations secure, understand, and make their data and AI resilient.

What you will do

• Analyze marketing performance data to identify trends, drivers, and optimization opportunities.
• Evaluate acquisition, engagement, and conversion metrics to support marketing decisions.
• Design and implement scalable lead ingestion solutions using AI-driven parsing, validation, enrichment, and automation.
• Write SQL queries and use Python for data preparation, automation, and analysis.
• Build and maintain curated datasets, data models, and data quality checks; support troubleshooting and validation.
• Develop dashboards and automate recurring reporting; document data definitions and reporting logic.

Requirements

• Location: Must be located in Central or Eastern Time Zone
• Strong working knowledge of SQL (joins, aggregations, and data transformations).
• Basic to intermediate Python proficiency with experience using data libraries (e.g., pandas, NumPy).
• Exposure to Databricks, Apache Spark, or cloud-based data environments.
• Experience working with real-world datasets, including data validation and troubleshooting.
• Ability to communicate technical findings to non-technical audiences and manage multiple priorities.

Nice to have

• Experience with Tableau, Power BI, or similar visualization tools.
• Familiarity with marketing analytics concepts and campaign performance metrics.
• Exposure to marketing platforms such as Google Analytics or Salesforce.
• Experience with version control (e.g., Git).
• Understanding of ETL or data pipeline concepts.

Culture & Benefits

• Unlimited paid time off, 12 paid holidays, and 24 paid volunteer hours annually.
• Paid parental leave (8 weeks for all parents; 16 weeks for birthing parents).
• Medical, dental, and vision coverage starting on the first day; mental health support and therapy sessions.
• 401(k) retirement plan with company matching contributions.
• Tax-advantaged spending accounts for healthcare, dependent care, and commuting.
• Learning and growth via mentoring, workshops, and on-demand libraries (LinkedIn Learning, O’Reilly).

Hiring process

• Compensation range is provided by U.S. geographic zone; offers are typically made below the midpoint of the range.
• Interviews and evaluation steps are not specified in the posting.

Location: Central or Eastern Time Zone (United States)

Salary: $53,300–$122,400 USD (U.S. geographic zones; total target compensation)