Business Analyst

Real Chemistry is seeking a curious, technically skilled Business Analyst to help turn complex commercial data into clear, trusted insights that guide business decisions. As part of Revenue Analytics, you will support the reporting and analytical foundations used to understand pipeline health, bookings performance, win rates, conversion, forecasting, and other go-to-market priorities. This is a hands-on role for someone who enjoys solving problems, improving how work gets done, and using Excel, AI-enabled tools, and data visualization to make information more accurate, accessible, and actionable. You will gain broad exposure to revenue processes and cross-functional stakeholders while building practical expertise in analytics, automation, data quality, and business storytelling.

Responsibilities

Revenue Analytics and KPI Reporting: Support recurring and ad hoc analysis of pipeline health, bookings performance, win rates, conversion, forecasting, target attainment, and other go-to-market KPIs; Excel-Based Analysis and Modeling: Build and maintain reliable Excel models and reporting tools using advanced formulas such as XLOOKUP or INDEX/MATCH, SUMIFS, nested IFs, arrays, PivotTables, Power Query, and Power Pivot; AI-Enabled Analytics and Process Improvement: Use Microsoft Copilot, CoWork, and other approved AI-enabled tools to accelerate data analysis, reporting, documentation, quality checks, and repeatable workflows; Data Integration and Management: Extract, combine, clean, and normalize data from Salesforce, NetSuite, and other operational systems through exports, connectors, and recurring file-based processes; Quality Assurance and Data Stewardship: Reconcile analytical outputs to systems of record, review variances, and proactively identify, document, and help resolve data issues; Stakeholder Partnership and Communication: Partner with Revenue Analytics and cross-functional teams to clarify reporting needs, document requirements and processes, and provide clear handoffs; Data Visualization and Power BI Support: Contribute to dashboards and reporting views by preparing data, validating measures, documenting logic, and creating clear visualizations

Requirements

Advanced Excel skills, including complex formulas, PivotTables, Power Query, and Power Pivot, with demonstrated comfort working with large or imperfect datasets; Strong analytical and problem-solving skills, including the ability to reconcile data, investigate variances, identify patterns, and develop clear, supportable conclusions; 1-2 years of experience, including internships or co-ops, in business analytics, data analytics, data operations, sales operations, revenue analytics, or a related field, or equivalent practical experience through coursework or a project portfolio; Practical habits around quality assurance, documentation, and reproducibility, such as maintaining data dictionaries, calculation logic, process documentation, or runbooks; Clear written and verbal communication skills, with the ability to summarize analytical findings, assumptions, and limitations for business audiences; Familiarity with Microsoft Copilot, CoWork, Claude, or similar AI productivity tools for analysis, research, documentation, or workflow improvement; Basic understanding of business KPIs and performance metrics; Analytically curious and able to investigate data, identify patterns, and understand business context; Proactive, resourceful, and comfortable taking ownership of detailed work; Highly organized, attentive to detail, able to manage deadlines, work independently, and ask thoughtful questions; Adaptable and motivated to learn new tools, processes, and commercial concepts; Excited to use AI and automation as practical working tools while maintaining high standards for accuracy, judgment, privacy, and responsible data handling; Alignment with company values - Best Together, Impact-Obsessed, Excellence Expected, Evolve Always and Accountability with an "I"

Nice to have

Exposure to Power BI, including data preparation, DAX, dashboard development, or publishing through coursework, internships, prior roles, or a project portfolio; Exposure to sales organizations, revenue processes, Salesforce, CRM data, or commercial reporting

Benefits

Free snacks; Generous holiday and paid time off; Options for private medical, dental, and vision plans; Support in saving for the future; Mental wellness coaching and support; Access to more than 13,000 online classes with LinkedIn Learning; Comprehensive benefit program and perks tailored to your region