Senior Data Analyst
Appcast Inc
- Scottsdale, Arizona, United States
- Scottsdale, Arizona, United States
À propos
Applicants must be located in either CO, MA or AZ.
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 (e.g., 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
Qualifications 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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Compétences linguistiques
- English
Avis aux utilisateurs
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