Data Operations Specialist, B2B MarTech

Role Overview:

Client is seeking a Data Operations Specialist, B2B MarTech to help scale and optimize data pipelines across marketing, sales, and RevOps teams. In this role, you'll unify data from multiple B2B systems, build reporting infrastructure, enforce data quality, and empower marketers with actionable insights. This is a critical execution role supporting rapid B2B growth and complex marketing operations.

Day-to-Day Responsibilities:

• Unify and manage data from CRM, marketing automation, events, and lead enrichment systems

• Build and maintain data pipelines, models, and campaign hierarchy structures

• Design automated dashboards for marketing performance, pipeline, and engagement reporting

• Implement proactive data quality checks and troubleshoot discrepancies across systems

• Collaborate cross-functionally with marketing, BDR, sales, and RevOps teams

• Partner on lead-to-account matching, account hierarchies, and buying committee identification

• Document business logic, data transformations, and QA processes

• Provide strategic recommendations to optimize campaign data flows and analytics readiness

Must-Haves:

• 7 years of experience in B2B marketing data operations, analytics, or business intelligence

• Expert SQL skills and experience with modern data warehouses (BigQuery, Snowflake, Redshift)

• Strong data modeling and management of complex datasets

• Hands-on experience with Salesforce (required), HubSpot, LinkedIn Campaign Manager, and other B2B platforms

• Deep understanding of B2B data challenges (lead-to-account matching, account hierarchies, buying committees)

• Proficiency with BI tools (Hex, Tableau, Looker)

• Experience with ETL/ELT tools (dbt, Airflow, Fivetran)

• Knowledge of B2B KPIs like pipeline velocity, account engagement, and attribution models

• Collaborative mindset, able to work with cross-functional teams in fast-paced environments

Soft Skills:

• Autonomous and proactive—comfortable owning projects end-to-end

• Strong communication skills, translating technical concepts for non-technical audiences

• Thrives in ambiguity and fast-paced, hyper-growth environments

• Detail-oriented with a systems-thinking approach

Nice-to-Haves:

• Experience in marketing analytics to understand downstream data consumption

• Background in using AI tools to streamline data operations

• Experience in B2B SaaS or working in both startup and enterprise environments

• Familiarity with event/webinar data integrations