Appcast is the global leader in programmatic recruitment advertising technology and services. With advanced technology, unmatched market data and a team of the industry’s best recruitment marketers, Appcast’s technology and services manage job advertising annually for enterprise clients across industries. Headquartered in Lebanon, N.H. with offices in the U.S., Canada and Europe. Appcast is part of the Stepstone group, a leading digital recruitment platform that connects companies with the right talent and helps people find the right job.
The Senior Data Analyst partners with internal teams to deliver data-driven insights and analytical solutions that support product strategy and business decision making across Appcast. This role is responsible for the full analytics lifecycle, including exploring raw datasets, integrating external data sources, and developing insights, models, and reporting solutions that drive strategic decisions. The ideal candidate brings strong technical and analytical expertise, critical thinking skills, and the ability to communicate complex findings clearly to both technical and non-technical audiences.
**Please note that candidates for this role must be located in either CO, AZ or MA.
Job Responsibilities
Stakeholder Analytics
- Partner with cross-functional stakeholders to understand business challenges and translate them into data-driven insights and analytical solutions
- Present findings, recommendations, and performance insights clearly to both technical and non-technical audiences
- Act as a trusted advisor on analytics, measurement strategy, KPI development, performance optimization, and decision science methodologies
- Support strategic decision-making through reporting, forecasting, experimentation, and ongoing business and product performance analysis
Data Exploration & Querying
- Query large-scale datasets using SQL in cloud-based environments (e.g., AWS Athena)
- Explore, validate, and reconcile data across multiple sources to ensure accuracy, consistency, and usability
- Perform deep-dive analyses to identify trends, anomalies, and business opportunities
- Partner with Data Engineering teams to define and improve data pipelines and analytical workflows
Data Transformation & Analysis
- Clean, manipulate, and transform complex