Sr. Business Intelligence & Analytics Manager
New
United StatesFull-TimeSenior
Salary120,000 - 130,000 USD per year
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Job Details
- Experience
- 4+ years
- Required Skills
- PythonSQLMicrosoft Power BITableauAirflowClickhouseBigQuerydbtRedshift
Requirements
- 4+ years of experience in analytics engineering, data engineering, or BI roles within SaaS or data-driven environments
- Strong expertise in SQL
- Strong expertise in Python, with proven ability to build and maintain scalable data pipelines and models
- Hands-on experience with dbt in production environments, ideally managing complex data models
- Strong experience working with large, messy, real-world datasets and transforming them into structured insights
- Experience building dashboards and reports for both technical and non-technical audiences, including executive stakeholders
- Ability to translate data insights into clear business narratives that influence decision-making
- Proficiency with BI tools such as Tableau, Power BI, Sigma, or similar platforms
- Experience working with modern data warehouses (e.g., BigQuery, Redshift, ClickHouse, or equivalent)
- Familiarity with orchestration tools such as Airflow, Dagster, or Prefect
Responsibilities
- Build, maintain, and optimize scalable data pipelines integrating product, CRM, and external data sources to ensure reliable analytics access across the organization
- Own the end-to-end BI environment, including data modeling, transformation logic, and visualization frameworks used for reporting and decision-making
- Translate complex datasets into clear, actionable insights that support product strategy, customer outcomes, and revenue growth initiatives
- Define and enforce data governance, quality standards, and consistency practices to ensure trust in all analytical outputs
- Enable self-service analytics by building robust, well-structured data foundations for business users and leadership teams
- Develop AI-supported analytics workflows (e.g., sentiment analysis, pattern detection) to enhance strategic insights and decision-making
- Support executive and operational stakeholders in leveraging data for internal reporting, customer communications, and strategic storytelling
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