[Hiring] Senior Business Intelligence & Analytics Manager @Axuall

Role Description

Axuall is seeking a Senior Business Intelligence & Analytics Manager to lead how data is leveraged across the business to drive measurable impact. This is a high-visibility, high-ownership role reporting directly to the COO. You will operate at the intersection of data engineering, analytics, and product - owning the pipelines, models, and insights that power internal decision-making and customer-facing value.

What You’ll Do

• Build, maintain, and extend data pipelines across product, CRM, and third-party sources to ensure reliable, scalable data access that power analytics across the business and for customers.
• Own and manage the BI environment, including data models, transformation processes, and visualization tooling.
• Translate Axuall’s data into actionable insights that drive product value, customer outcomes, and revenue growth.
• Establish and enforce standards for data quality, consistency, and governance to ensure accuracy and trust in all analytics outputs.
• Enable self-service analytics by maintaining a consistent, trusted data foundation that drives speed and confidence in decision-making.
• Develop and support AI-driven data workflows that extract insights (e.g., sentiment, patterns) to inform product strategy and customer value realization.
• Support business leaders to communicate internally and externally with data.

Qualifications

• 4+ years of experience in analytics engineering or data engineering within a SaaS or data-driven environment.
• Expert-level SQL and strong Python skills, with the ability to build and maintain scalable data models and pipelines.
• Hands-on experience with dbt in a production environment (experience managing large model sets preferred).
• Strong data wrangling skills - comfort working with messy, real-world datasets.
• Experience building customer-facing dashboards or reports, including presenting findings to executive and operational audiences.
• Ability to translate data findings into clear, non-technical business narratives for executive and operational audiences.
• Strong experience with BI and analytics tools (e.g., Omni, Sigma, Tableau, or Power BI), including building governed, self-service data layers.
• Experience working with modern data warehouses (e.g., ClickHouse, BigQuery, Redshift, or similar).
• Experience with pipeline orchestration tools (e.g., Dagster, Airflow, Prefect, or similar).

Benefits

• Comprehensive Health Insurance
• 401(k) with Employer Match
• Wellness Stipend
• Professional Development Reimbursement
• Work From Home Stipend
• Remote Work Flexibility
• Flexible PTO
• Paid parental leave

Equal Employment Opportunity & Pay Equity Commitment

Axuall is proud to be an equal-opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other legally protected characteristic. Axuall maintains pay-equity practices that prohibit reliance on salary history and require that compensation decisions be supported by legitimate, job-related factors.

Interview Path

• Talent Acquisition Interview
• Hiring Manager Interview
• CFO and CPO
• Reference Calls
• Hiring Decision

Pay Transparency & Compensation

Base Salary Range (Good-Faith Estimate): $120,000 - $130,000

Classification: Full Time

Pay Frequency: Semi-monthly

The posted range represents Axuall’s reasonable and good-faith estimate of the compensation the Company expects to pay for the position at the time of this posting. Actual compensation will be based on factors such as job-related knowledge, skills, experience, and internal equity.