Manager, Business Analytics

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

📋 Description

• Act as the analytics lead supporting Commercial, Finance, Operations, and other organizational functions.

• Serve as a strategic partner to operational and commercial leadership, focusing on analytical investments, establishing success metrics, and evaluating business outcomes.

• Collaborate across departments to align analytical solutions with strategic goals and quantifiable business value.

• Design, develop, and sustain scalable analytical solutions utilizing SQL, Python, Snowflake, Tableau, Power BI, and contemporary cloud-based data platforms.

• Conduct statistical analysis, forecasting, segmentation, hypothesis testing, predictive modeling, and exploratory data analysis.

• Work alongside Data Engineering, IT, and Master Data Management teams to specify data requirements, enhance data quality, optimize data pipelines, and improve enterprise data architecture.

• Create and maintain semantic data models, reusable datasets, KPI frameworks, and standardized metrics.

• Promote enterprise data governance by verifying source system integrity, documenting metric definitions, monitoring data quality, and ensuring reporting consistency.

• Utilize AI, machine learning, and advanced analytics to enhance forecasting accuracy, automate decision-making support, and reveal business insights.

⛳️ Requirements

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, Analytics, or a related quantitative discipline.

• 6-8+ years of experience in advanced analytics, business intelligence, data science, revenue analytics, or a comparable technical analytical position.

• Proficient in SQL, including complex joins, window functions, common table expressions (CTEs), query optimization, and dimensional data modeling.

• Strong programming experience in Python, particularly with Pandas, NumPy, SciPy, StatsModels, Scikit-Learn, and data visualization tools.

• In-depth understanding of data warehousing, ETL/ELT processes, data governance, and data quality management.

• Familiarity with cloud data platforms such as Snowflake, Redshift, Databricks, BigQuery, Azure Synapse, or similar technologies.

• Experience with Tableau, Power BI, or related business intelligence platforms, including dashboard creation and performance enhancement.

• Capability to analyze large, complex datasets and articulate findings through narratives, insights, and recommendations.

• Ability to independently tackle ambiguous challenges and deliver impactful solutions in a dynamic environment.

🏝️ Benefits

• Competitive compensation and benefits.

• Potential eligibility for discretionary bonuses/incentives.

• Potential eligibility for restricted stock units.

• Career advancement opportunities.

• An inclusive workforce and workplace.

• Great Place to Work-certified environment.