Senior Business Analyst

Job Description

Requirement Gathering: Work closely with RevOps and business teams to gather, analyze, and translate reporting and dashboarding needs into structured business requirements. Documentation: Develop and maintain detailed documentation of business requirements, data flows, reporting specifications, and system processes for various stakeholders. Data Validation Quality Assurance: Conduct periodic validation of data accuracy and consistency across reporting platforms (Power BI, Databricks, etc.), identifying and resolving discrepancies. Sales Financial Data Modeling: Analyze, understand, and document finance-related data models built in Excel, ensuring accuracy and transparency in sales financial reporting. Dashboard Development Support: Work with BI developers to design intuitive and insightful dashboards, ensuring they align with business needs and KPIs. Cross-functional Collaboration: Liaise with multiple teams, including Sales, Finance, IT, Business Intelligence and Data Engineering, to ensure smooth execution of analytics and reporting projects. Project Management: Lead and manage reporting/dashboarding initiatives, track project timelines, handle dependencies, and ensure timely completion of deliverables. Stakeholder Communication: Act as a bridge between business and technical teams, translating business needs into technical requirements and vice versa. Process Improvement: Continuously identify opportunities to optimize reporting workflows, automate manual tasks, and improve data accessibility. Training Enablement: Educate business users on self-service BI tools, helping them leverage reports and dashboards effectively. Experience and Qualifications: Experience: Minimum 7 years as a Business Analyst, preferably in a data-driven environment. Technical Skills: Proficiency in Power BI, SQL, and Excel-based financial models. CRM Experience: Exposure to Salesforce CRM is an advantage. Domain Knowledge: Strong understanding of RevOps, finance reporting, and sales intelligence concepts. Analytical Thinking: Ability to interpret complex datasets and translate them into actionable insights. Communication Documentation: Excellent written and verbal communication skills, with experience in documenting business requirements. Project Management: Proven experience in managing and driving analytics/reporting projects to completion. Problem-Solving: Ability to troubleshoot data inconsistencies, propose solutions, and drive resolution with cross-functional teams. Attention to Detail: Strong focus on data accuracy, completeness, and adherence to business rules.