Senior Data Analyst

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 ResponsibilitiesStakeholder 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 datasets using Python (e.g., pandas, numpy)  Build analytical frameworks and scalable reporting solutions for recurring business needs  Perform advanced analyses (ie. cohort analysis, funnel analysis, attribution modeling, etc)  Advocate for data quality, governance, and scalable analytical best practices  Advanced Analytics & Modeling  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  Data Product Development  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