Senior Business Operations & Intelligence Analyst
- Design and maintain advanced analytics solutions using SQL, Python, and BI tools such as Hex, ThoughtSpot, Tableau, PowerBI, and PPro to surface trends, risks, and opportunities.
- Build and optimize analytics layer data models and scalable data pipelines to support governed reporting and strategic analysis.
- Develop, automate, and maintain dashboards, KPI frameworks, and performance reporting that provide clear visibility into business health.
- Implement data transformation workflows using SQL, Python, or similar tools to ensure accuracy, consistency, and high data quality.
- Partner with cross functional teams across Sales, CX, Marketing, Product, Finance, Engineering, Care, and Fulfillment to define metrics, gather requirements, and deliver insights that drive decision making.
- Conduct statistical and strategic analysis, including lifecycle analytics, segmentation, predictive modeling, forecasting, and scenario planning.
- Perform operational diagnostics to identify friction, inefficiencies, and root causes and support teams in implementing and measuring improvements.
- Translate complex or ambiguous questions into structured analytical approaches and deliver clear, actionable recommendations to senior leaders.
- Document metric definitions, data logic, data models, and analytical methodologies to support transparency and reproducibility.
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- A Bachelor’s or Master’s degree in a quantitative field such as Statistics, Mathematics, Economics, Business Analytics, Computer Science, or a related discipline.
- 5+ years of experience in business operations, business intelligence, analytics, or a related field, with a proven track record of driving business outcomes through data.
- Advanced proficiency in SQL and Python for analysis, transformation, automation, and modeling.
- Hands-on experience with BI and analytics tools such as Hex, ThoughtSpot, Tableau, or similar platforms.
- Demonstrated ability to design KPI frameworks, automate dashboards, and standardize reporting for executive and operational audiences.
- Proficiency with cloud data warehouses such as Snowflake or BigQuery and familiarity with ETL tools such as Fivetran and core data quality practices.
- Strong background in statistical analysis such as hypothesis testing, regression, segmentation, predictive modeling, and other methods used in strategic studies.
- Experience with customer lifecycle analytics, segmentation, performance measurement, and other growth oriented analyses.
- Proven ability to manage cross-functional stakeholder relationships and translate business needs into clear technical solutions.
- Strong documentation skills for data logic, metric definitions, analytical processes, and model methodologies.
- Excellent communication and presentation skills with the ability to explain complex technical concepts to non technical audiences.
- Medical, Dental, Vision Insurance
- 401k, With Matching Contributions
- Paid Time Off
- Health Savings Account (HSA)
- Flexible Spending Account (FSA)
- Short-Term/Long-Term Disability Insurance
- Plus other wellness benefits to include:
- Fertility
- Mental Health
- One Medical
- Fringe lifestyle benefits up to $250
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Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion