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 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 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

Analytical Thinking

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

Technical Skills

Strong SQL skills and experience querying large datasets (Athena, Snowflake, BigQuery, 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

Communication & Ownership

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

Education and Experience

Bachelor’s degree in Data Science, Statistics, Economics, Business Analytics, or a related field

Advanced degree (Master’s/MBA) is a plus, not required

4-6+ years in data analytics, data science, consulting analytics, or related field

Experience working in a client-facing or consulting environment strongly preferred

Experience in recruitment marketing, HR tech, or performance marketing

Familiarity with attribution modeling or multi-touch measurement

Experience working with large-scale event or clickstream data

AWS ecosystem experience

Travel Requirements

Travel for this position may include quarterly travel to attend internal and external meetings, however, this may vary based on business needs and opportunities.

Fair Labor Standards Act Status

Salaried Exempt: Personnel will earn their regular salary and not be entitled to overtime pay when they work over 40 hours in a work week.

Supervisory Responsibilities

This position has no supervisory responsibilities

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