Note: The job is a remote job and is open to candidates in USA. Forbes Advisor is hiring a Business Analytics Manager to lead a team of Analysts and partner with business leaders on commercial performance. The role focuses on turning business data into trusted insights, recommendations and scalable analytics products that support growth and profitability.
Responsibilities
- Act as a trusted analytics partner to General Managers and senior commercial stakeholders, helping them understand the drivers of revenue, profitability and business performance. You'll work with your team to identify trends, investigate changes in performance and recommend opportunities for growth, ensuring analysis is grounded in a strong understanding of how each business operates
- Help establish confidence in the commercial data used to manage the business. You'll work closely with Finance, Revenue Operations and Data Engineering to understand revenue, costs, partner performance and profitability, investigate discrepancies and ensure reporting is accurate and explainable. You'll champion analytical rigour while recognising the importance of delivering timely, practical information to stakeholders
- Guide your team in translating complex datasets into clear, actionable insights for technical and non-technical audiences. You'll help Analysts move beyond dashboards and descriptive reporting to explain the underlying drivers of performance, challenge assumptions and communicate what the business should do next. You'll also help identify opportunities for deeper analysis, forecasting and experimentation
- Translate commercial questions into clear analytical requirements, working with Analytics, BI, Engineering and Data Science teams to develop scalable reporting and insight products. You'll help identify where reusable datasets, dashboards and analytical approaches can replace repetitive work, improve consistency and enabling stakeholders to access trusted information more independently
- Lead and develop a small team of vertical-aligned Analysts, supporting their technical development, commercial understanding and stakeholder relationships. You'll help prioritise work across business areas, balance immediate commercial needs with longer-term improvements, and ensure the team's capacity is focused on delivering the greatest value. You'll remain technically involved, reviewing analytical approaches and helping the team tackle complex problems
Skills
- Experience in business analytics, commercial analytics or performance analytics, including experience managing or mentoring Analysts
- Strong commercial understanding, with experience analysing revenue, profitability, customer acquisition, sales performance or other key business drivers
- Experience working directly with senior business stakeholders, translating complex questions into analytical requirements and actionable recommendations
- Excellent communication and storytelling skills, with the ability to explain complex findings clearly and influence commercial decisions
- Strong SQL skills and experience working with large, complex datasets
- Experience with BI and visualisation platforms such as Tableau, Power BI or Looker
- A strong understanding of data quality, reporting accuracy and the importance of reconciling commercial information with financial outcomes
- Experience prioritising analytical work across multiple stakeholders, balancing commercial urgency with analytical quality
- Experience coaching and developing Analysts, helping them build both technical capability and commercial confidence
- A proactive, curious approach to problem solving, with the ability to identify opportunities rather than simply respond to requests
- Experience in performance marketing, affiliate marketing, lead generation or digital publishing
- Familiarity with marketing and acquisition data from platforms such as GA4, Google Ads, Meta or other advertising platforms
- Experience working with Finance, Revenue Operations or commercial reporting teams
- Experience analysing sales performance, partner economics, conversion funnels or customer profitability
- Python experience for statistical analysis, forecasting or more advanced analytical work
- Experience collaborating with Data Scientists on predictive modelling, experimentation or customer analytics
- Experience with Google Cloud Platform, particularly BigQuery
- Experience developing reusable analytical products or self-service reporting capabilities
- Experience working with distributed teams and agile delivery processes
Benefits
- Remote work arrangement
Company Overview