• Lead the design, development, and maintenance of enterprise-level Power BI dashboards and reporting solutions for operational performance. • Serve as a subject-matter expert for Verint OM reporting, operational metrics, and data interpretation. • Partner with operational leaders to define reporting requirements, success metrics, and standardized definitions. • Design and maintain scalable data models and optimized Power BI datasets. • Drive report automation and optimization, reducing manual effort and improving refresh performance and reliability. • Develop and optimize SQL queries and data workflows supporting reporting solutions. • Perform advanced data analysis to identify trends, risks, root causes, and process improvement opportunities. • Translate analytical findings into clear insights and recommendations for leadership. • Establish and maintain reporting standards, documentation, and data governance practices. • Mentor junior analysts and provide guidance on reporting best practices and tooling. • Manage and prioritize complex reporting requests while balancing short-term needs and long-term strategy.

• Map end-to-end billing and settlement workflows and lead the integration of global operational, accounting, and inventory management systems to harmonize data models across the business unit. • Design and implement global frameworks for real-time inventory tracking and asset valuation to provide granular Profit and Loss transparency across various geographic regions and business channels. • Perform structured diagnostic reviews of regional invoicing systems to ensure robust revenue recognition, establish approval frameworks, and optimize the timeline from asset receipt to cash collection.

Role Description - Build long-horizon technical accounting tasks with deterministic rubrics for agent performance evaluation. - Develop scenarios in external reporting with defined tie-out numbers and consolidations. - Create technical accounting tasks based on ASC 606/842/805 with documented conclusions. - Design policy and controls scenarios, including SOX narratives and statutory packages. - Work independently and focus on challenging tasks that require long sessions of concentration. Qualifications - BS or MS in Accounting. - 5+ years in controllership, technical accounting, or external reporting. - Expertise in ASC 606, ASC 842, ASC 805, consolidations, SEC reporting, SOX. - Comfortable with controllership artifacts: financial statements, technical memos, consolidation workpapers, control narratives. - Clear written communication; articulate reasoning step by step and encode into deterministic rubrics. Requirements - CPA strongly preferred. Benefits - Hourly contractor, paid weekly via Stripe Connect. Application Process - Upload resume. - AI interview based on your resume. - Submit form. Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome . - For any help or support, reach out to: support@mercor.com . - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

• Develop, enhance, and maintain analytical dashboards in Power BI (and/or Looker), focused on product, operations, and business metrics; • Maintain and evolve data routines: extraction, transformation, validation, and consistency of information; • Perform analytical data modeling, ensuring efficient, scalable structures oriented for consumption by Product and Business teams; • Work extensively with SQL to analyze, transform, and optimize large volumes of data; • Lead requirements gathering with Product, Data, Technology teams and stakeholders, translating business needs into analytical solutions; • Create functional and technical documentation for dashboards, metrics, and data models; • Facilitate communication between diverse teams (Product, Engineering, Data, Business) on BI and Analytics projects; • Ensure the BI environment aligns with corporate IT standards, data best practices, and agile methodologies; • Perform data storytelling, turning data into clear narratives for decision-making; • Monitor and ensure the quality, reliability, and governance of the data used in analyses.