Hiring: Senior Manager, Business Intelligence Analytics (Remote - US) Company: Octave Location: Madison, AL Job Posted Time: 2026-09-09 18:06:50 Target Skills & Keywords : Azure, BigQuery, Databricks, Machine Learning, Redshift, SQL, Salesforce, Snowflake About the job Experience: •7+ years of experience in analytics, business intelligence, decision science, data analysis, or a related field. •2+ years of people leadership experience, including coaching, hiring, performance management, and team prioritization. Required Skills: •Octave is seeking a strategic, hands-on •Senior Analytics Manager •to lead our analytics function and help turn data into better business decisions. This is a player-coach role for a leader who can develop a high-performing team, establish scalable reporting and governance practices, and personally deliver the analyses and narratives that senior leaders use to act. •You will partner across the organization to define trusted metrics, improve self-service insight, prioritize a growing analytics portfolio, and expand our use of advanced analytics and AI-enabled capabilities. •What You’ll Do •Lead, coach, and develop a team of analytics and BI professionals; set priorities, establish clear expectations, and build team capability. •Partner with executives and business leaders to translate strategic questions into actionable analysis, KPIs, dashboards, and recommendations. •Personally lead complex, high-visibility analyses and present clear, decision-ready findings to senior executive stakeholders. •Build and evolve governed reporting practices, including metric definitions, data quality standards, semantic models, documentation, dashboard standards, and certification. •Balance self-service analytics with appropriate controls for data quality, security, consistency, and access. •Guide appropriate use of statistical methods, experimentation, forecasting, segmentation, regression, and machine-learning techniques. •Work closely with data engineering, data science, IT, security, and business teams to improve analytics products and data reliability. •Use AI tools responsibly to improve analytical, coding, documentation, research, and communication workflows, validating outputs and protecting sensitive information. •Identify and deliver AI-enabled analytics solutions, such as conversational BI, natural-language data exploration, intelligent alerting, anomaly detection, forecasting, workflow automation, or insight-generation capabilities. •Education / Qualifications Qualifications: •Experience building or scaling an enterprise analytics, BI, or decision science organization. •Familiarity with analytics engineerin Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!