Senior Business Data Analyst

This is a fully remote position, open to applicants in Utah.

📋 Description

• Design, develop, and validate statistical and machine learning models to predict outcomes, assess risks, and provide actionable recommendations.

• Take ownership of the entire model lifecycle.

• Frame business challenges as testable hypotheses.

• Create and implement A/B tests, causal inference studies, and regression analyses.

• Convert findings into insight-driven recommendations for executive leadership.

• Support the definition of KPIs and metrics across the organization.

• Lead the validation, refinement, and standardization of metrics.

• Ensure data quality for analytical outputs.

• Establish monitoring frameworks, validation processes, and root-cause analysis protocols.

• Ensure that analytical outputs comply with data governance standards.

• Act as the resource for analytical interpretation and governance.

• Document methodologies, assumptions, model logic, and limitations comprehensively.

• Train and mentor business users in analytical capabilities and tool utilization.

• Oversee analytics-focused projects from inception to completion, including methodology design, implementation, and impact assessment.

• Define the scope of analytical work, establish success criteria, and manage timelines along with cross-team dependencies.

⛳️ Requirements

• Bachelor’s degree in Statistics, Computer Science, Data Science, Mathematics, or a related quantitative discipline.

• Over 5 years of experience in designing and delivering predictive or prescriptive analytics in diverse business contexts.

• Proven ability to translate analytical insights into measurable business outcomes.

• Familiarity with statistical experimentation, including A/B testing and causal inference.

• Experience in hypothesis-driven problem-solving.

• Advanced proficiency in SQL.

• Experience with cloud-based data warehouses such as Snowflake, Redshift, or BigQuery.

• Proficient in Python or R for statistical modeling and data manipulation.

• Familiarity with libraries such as scikit-learn, statsmodels, or equivalent.

• Knowledge of data transformation tools and ELT frameworks like dbt.

• Proficient in visualization tools such as Tableau or Power BI.

• An advanced degree (MS/PhD) is strongly preferred.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Comprehensive health, dental, and vision insurance.

• Generous paid time off and flexible working arrangements.

• Opportunities for professional development and continuous learning.

• Collaborative and innovative work environment.