Senior Data Analyst

Compensation

USD 81,000 - USD 135,000 yearly

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.

Must be located in either CO, AZ or MA.

• 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

• 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

• Clean, manipulate, and transform complex datasets using Python (e.g., pandas, numpy)
• Build analytical frameworks and scalable reporting solutions for recurring business needs
• Perform advanced analyses (e.g., cohort analysis, funnel analysis, attribution modeling, etc)
• Advocate for data quality, governance, and scalable analytical best practices

• Develop forecasting models for volume, application trends, and business performance outcomes
• Apply statistical methodologies to evaluate product effectiveness and support strategic initiatives
• Design and support experimentation and measurement frameworks, including A/B testing and incrementality analysis

• Design and deliver custom data products (reports, dashboards, datasets, analytical tools)
• Collaborate with stakeholders to define requirements and ensure deliverables align with business and product objectives
• Own projects end-to-end from intake and scoping to final presentation

• Strong problem-solving skills with the ability to work through ambiguous requests
• Ability to connect data insights into business outcomes
• Experience with forecasting, modeling, or statistical analysis is a plus

• Strong SQL skills and experience querying large datasets (Athena, Snowflake, Big Query, etc.)
• Proficiency in Python for data analysis (pandas, numpy; scikit-learn is a plus)
• Experience with data visualization tools (Tableau, Looker, Power BI, or similar)
• Experience with Master Data Management (MDM) concepts and data governance practices to support consistent, accurate, and scalable analytics across multiple data sources and systems

• Excellent verbal and written communication skills
• Ability to present complex analyses to non-technical stakeholders
• Proven ability to manage projects independently from start to finish

• Bachelor’s degree in Data…