Sr. Business Intelligence & Analytics Manager

Accountabilities:

• 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

Requirements:

• 4+ years of experience in analytics engineering, data engineering, or BI roles within SaaS or data-driven environments

• Strong expertise in SQL and 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

Benefits:

• Competitive base salary range: $120,000 – $130,000

• Comprehensive health insurance coverage

• 401(k) retirement plan with employer match

• Flexible remote-first work environment

• Flexible PTO and paid parental leave

• Wellness stipend to support health and wellbeing

• Work-from-home stipend for remote setup support

• Professional development reimbursement opportunities

• Inclusive workplace culture with DEI-focused initiatives and employee resource groups.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1