Axuall logo
Axuall

The Future of Real-Time Workforce Intelligence

Senior Business Intelligence & Analytics Manager

Data AnalystData AnalystFull TimeRemoteSeniorTeam 11-50H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

29 days ago

Salary

$120K - $130K / year

Seniority

Senior

Bachelor Degree4 yrs expEnglishAirflowAmazon RedshiftBigQueryPythonSQLTableau

Job Description

Senior Business Intelligence & Analytics Manager

Axuall

• 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

Job Requirements

  • 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

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