Raptive provides higher revenue through superior ad tech, expert strategy, and best-in-class support. We help the world’s leading publishers and creators scale profitably.

We’re seeking a curious, detail-oriented, and impact-driven Data Analyst II to join our Data & Analytics team. In this role, you’ll help transform raw data into actionable insights that inform product, business, and marketing decisions. You'll work closely with cross-functional stakeholders to deliver reporting, perform deep-dive analyses, and surface strategic recommendations.

What You’ll Do:

Build, maintain, and enhance dashboards and recurring reports used by key stakeholders across the company

Analyze large datasets to identify trends, anomalies, and opportunities for business impact

Develop Sigma datasets and models, ensuring performance, accuracy, and usability

Partner with teams across Product, Operations, Marketing, and Finance to design and execute analytical projects

Write clean, efficient SQL to extract, clean, and manipulate data from our data warehouse (Snowflake)

Use Python for data analysis and automation (e.g., pandas, NumPy, etc.)

Support ad hoc analysis needs and proactively identify data-driven opportunities

Assist in improving data processes, documentation, and data quality

Present findings in a clear, structured way to both technical and non-technical audiences

What We’re Looking For:

Bachelor’s degree in Data/Business Analytics, Computer Science, Finance, or a related field

2–4 years of experience in an analytics or data-focused role

Hands-on experience with a BI tool (Sigma preferred; Tableau, Looker, Power BI, or similar also acceptable)

Proficient in SQL; comfortable navigating large-scale data systems

Python skills for analysis, visualization, and scripting

Strong communication skills with a knack for turning data into compelling narratives

Highly organized with strong attention to detail and a bias for action

Interest or experience in Generative AI tools or concepts is a plus

Familiarity with tools like Airflow and version control (Git)

An interest in Generative AI is a plus as we continue to explore its applications across the organization.

Nice to Have:

Experience with web traffic, content performance, or ad tech data

Background in working with marketing, SEO, or user engagement metrics

Familiarity with statistics fundamentals (e.g., basic A/B testing, descriptive stats)

Comfort working in a fast-paced, high-growth environment