> Markdown version of [/jobs/ext/3199829-manager-business-intelligence-revenue-analytics](https://www.wearedevelopers.com/jobs/ext/3199829-manager-business-intelligence-revenue-analytics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Business Intelligence & Revenue Analytics - **Company:** InfoTrack US - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $120,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Data Analysis, Business Logic, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Sharing, Data Structures, Data Warehousing, Relational Databases, Database Queries, Database Storage Structures, Netsuite, Power BI, Standard Sql, Salesforce.Com, SQL Databases, Data Pipelines - **Published:** September 7, 2026 - **Apply:** https://startup.jobs/manager-business-intelligence-revenue-analytics-infotrack-us-9955716 ## About the Role * Bachelor's degree or equivalent combination of education and relevant professional experience. * 6+ years of progressive experience in business intelligence, analytics, revenue operations, or a related field. * 3+ years of people leadership experience managing business intelligence, analytics, or data professionals. * Strong SQL proficiency, including experience writing complex queries, joins, aggregations, and reusable reporting logic. * Demonstrated experience developing and maintaining reporting and dashboards that directly support business decision-making. * Experience working directly with Sales, Marketing, Revenue Operations, or other commercial stakeholders. * Experience using Microsoft Power BI to develop reporting and dashboards that support business insight and decision-making. * Demonstrated ability to translate complex data into clear, actionable insights for non-technical audiences. * Experience gathering requirements, presenting findings, and partnering directly with business stakeholders. * Strong written and verbal communication skills. * Ability to manage competing priorities across multiple stakeholders and functions. * Strong stakeholder management, prioritization, roadmap planning, coaching, and team development skills. * Preferred: Experience with data warehouse structures and data modeling concepts. * Preferred: Experience building SQL views, reusable analytical datasets, or reporting models. * Preferred: Familiarity with Salesforce CRM data structures and reporting. * Preferred: Exposure to NetSuite or other ERP platforms. * Preferred: Experience in marketing analytics, attribution modeling, or campaign performance measurement. * Preferred: Exposure to ETL/ELT tools and modern data integration platforms. * Preferred: Experience working in a multi-entity or cross-functional environment. * Preferred: Exposure to Python for data analysis, automation, or transformation work. ## Description The Manager, Business Intelligence & Revenue Analytics sits at the intersection of data, commercial insight, and people leadership. The Manager works closely with the Director to shape and execute the strategic direction of the BI and analytics function and is accountable for translating that direction into a prioritized analytics roadmap, high-quality execution, team performance, and professional development. The role is responsible for helping define how data is leveraged to drive decisions across Product, Sales, Marketing, Revenue Operations, and Executive Leadership. In partnership with business stakeholders, the Manager develops reporting frameworks, analyzes performance trends, identifies opportunities and risks, and ensures analytics investments support informed business decisions and measurable outcomes. The role also supports the development of customer-facing insights and product performance metrics that enhance transparency, customer experience, and product decision-making. This is a hands-on leadership role. The Manager is expected to balance people leadership with direct analytical contribution, personally owning key initiatives and complex analytical work while coaching and developing a high-performing team. The role works closely with the Data Engineering function to ensure business requirements are accurately reflected in data models, transformation logic, and reporting outputs while helping define analytics requirements, priorities, and success measures. The ideal candidate possesses strong SQL and reporting capabilities, a solid understanding of relational database concepts and data best practices, and the ability to communicate complex findings effectively to both technical and non-technical audiences. This is a hybrid role based out of our San Francisco office. You will be required to work in the office a minimum of three days per week., * Partner with Sales leadership to deliver reporting, forecasting, performance insights, and data-driven recommendations that support pipeline health, customer growth, product adoption, and revenue generation. * Analyze pipeline, churn, product adoption, and customer behavior to identify trends, growth opportunities, and actionable recommendations. * Identify underserved segments, at-risk accounts, and areas of pipeline risk through ongoing data analysis. * Present insights and recommendations to Sales teams and leadership in a clear, compelling way that supports informed decision-making. Marketing Analytics * Support Marketing through campaign performance analysis, attribution, audience segmentation, and actionable insights that inform strategy and investment decisions. * Track and report on key marketing performance indicators to help identify what is working, where opportunities exist, and where teams should focus. * Partner with Marketing stakeholders to define success metrics and develop reporting that reflects business needs. KPI Reporting & Management Dashboards * Develop and maintain KPI reporting frameworks, dashboards, and executive reporting that provide consistent and reliable visibility into performance across Sales, Marketing, and Operations. * Ensure management reporting is timely, accurate, consistent, and designed to tell a meaningful business story. * Proactively identify and communicate performance trends, anomalies, opportunities, and risks to support leadership decision-making. Data Collaboration & Systems * Partner closely with Data Engineering to define analytics requirements, establish priorities, and ensure business needs are accurately reflected in data models, transformation logic, data pipelines, and reporting outputs. * Contribute to data design discussions through a strong understanding of database structures, relational data concepts, and data best practices. * Develop and maintain reporting logic, datasets, and reusable analytical assets that support reporting and business decision-making. * Define, document, and maintain core business logic, including revenue metrics, customer segmentation, and product usage definitions, to promote consistency across reporting and analytics. * Establish and maintain data standards and governance practices that improve data quality, consistency, accuracy, and trust. * Develop validation and reconciliation processes to identify, investigate, and resolve data quality issues. * Promote data literacy and self-service analytics by enabling stakeholders to confidently access, understand, and use trusted business metrics. Stakeholder Partnership * Partner directly with Sales, Marketing, Revenue Operations, and executive stakeholders to gather requirements, provide updates, and deliver reporting and analysis that meets business needs. * Build strong cross-functional relationships and serve as a trusted advisor who translates business questions into analytical solutions, actionable recommendations, and measurable outcomes. * Proactively identify gaps between available data and business needs and recommend solutions to close them. * Ensure analytics initiatives support informed decision-making and measurable business outcomes across the organization. Team Leadership & Strategic Direction * Develop and maintain the Business Intelligence and analytics roadmap, aligning team priorities with organizational goals and stakeholder needs. * Own the intake, prioritization, and delivery of analytics initiatives, balancing stakeholder requests with business impact and focusing the team on the highest-value opportunities. * Lead, develop, and mentor a small team of Business Intelligence and analytics professionals, supporting performance, professional growth, and career development. * Establish clear standards for analytical quality, communication, stakeholder engagement, and team performance. * Review team deliverables and provide ongoing coaching, mentorship, and feedback. * Manage team workload and priorities in alignment with evolving business needs. * Foster a culture of accountability, curiosity, continuous improvement, and strong business partnership. * Remain a hands-on leader by personally owning key analytical initiatives and deliverables alongside people leadership responsibilities. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [From Global Capability Centers to AI-Powered Command Centers](https://www.wearedevelopers.com/videos/100096-from-global-capability-centers-to-ai-powered-command-centers) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse](https://www.wearedevelopers.com/videos/100240-analytics-in-the-age-of-agentic-ai-a-tour-of-clickhouse-and-langfuse) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)