Senior Data Operations Specialist

Overview

Our agency client is looking for a freelance Senior Data Operations Specialist. The Data Operations Specialist will be responsible for the technical execution of data integrations, pipeline creation, and data cleansing, ensuring high-quality, accessible data for internal strategy teams. This position is vital for maintaining data integrity and providing a reliable data infrastructure, allowing the company’s internal teams to deliver accurate insights and recommendations to clients without needing to focus on campaign performance analysis themselves.

This is a remote, adhoc role approx 10-20 hours per week for 2+ months.

Responsibilities:

• Set up and connect data integrations from various sources (e.g., Google Ads, LinkedIn, GA4).
• Create and manage data pipelines to ensure efficient data flow.
• Cleanse and manipulate raw data to normalize and standardize it for analysis.
• Push processed data into storage environments such as Google Sheets, Microsoft Excel, BigQuery, or Microsoft Azure.
• Collaborate with internal data and strategy teams to understand data requirements.
• Ensure data quality and accessibility for internal analysis.
• Assist with setting up triggers, events, and tags in platforms like Google Tag Manager.

Technical Skills:

• Advanced SQL and Python (Pandas, API integration, ETL development)
• Experience consuming REST APIs, including OAuth authentication, pagination, and JSON parsing
• Experience building automated data pipelines using Python, Azure Functions, GitHub Actions, or cloud automation tools
• Familiarity with CRM, marketing, and analytics platform APIs (Salesforce, HubSpot, Google Ads, Meta, LinkedIn, GA4, etc.)
• Experience connecting data sources to BI platforms (Power BI, Tableau, Looker)
• Git version control and collaborative development practices
• Bonus: JavaScript/TypeScript, dbt, Airflow/Prefect, GraphQL
• Bonus++: Clay, Demandbase

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